1. The document outlines the National Water Policy of India which establishes the need for a standardized national hydrological information system to collect, process, and disseminate reliable water resources data.
2. Key goals of the policy include maximizing water availability, integrating surface and groundwater management, preserving environmental and ecological balances, and involving stakeholders in water management.
3. The hydrological information system described in the document is intended to provide the hydrological data and analysis needed to inform planning, design, management, and policy decisions around India's water resources in accordance with the National Water Policy.
1. The Hydrology Project aims to develop an effective Hydrological Information System (HIS) in 9 states in India to improve water resources management. It involves modernizing data collection and processing systems.
2. Existing hydrological data collection systems in India are inadequate due to issues like manual data processing, gaps between tools available and used, and lack of integration between agencies.
3. The Hydrology Project is developing standardized software for surface water and groundwater data entry and processing to improve reliability, accessibility, and usability of hydrological data.
The Hydrology Project established India's Hydrological Information System by developing networks of hydro-meteorological stations, web-based data management systems, and tools for water resources planning and management. It involved 29 agencies across 13 states and 8 central government organizations. Key achievements include establishing surface and groundwater observation networks, databases for water quality and quantity data, decision support systems for integrated planning, and capacity building for water resource professionals. The project helped shift from isolated development to comprehensive basin-scale planning and management of water resources.
The World Bank conducted a final supervision and completion mission for the Hydrology Project in Andhra Pradesh from May 7-8, 2014. The project aimed to strengthen surface water data collection networks and build institutional capacity for hydrological data management and use. Key achievements included establishing 25 additional data collection stations, procuring IT equipment, developing a project website, and providing training. Expenditures totaled Rs. 4.13 crore against the revised project cost of Rs. 8.92 crore. Moving forward, the document discusses continuing project activities in Andhra Pradesh and potential areas of focus for a phase III of the Hydrology Project.
The document discusses groundwater usage and management in India. It notes that groundwater provides 61% of irrigation needs, 85% of rural drinking water, and 45% of urban water supply. However, 803 of 5845 assessment units in India are overexploited, and levels are declining in many areas. The Central Ground Water Board's objectives include comprehensive aquifer mapping, management plans, capacity building, and regulation to shift from "groundwater development" to "groundwater management" in a sustainable way through community participation. The goals are to improve data accuracy, manage aquifers locally, ensure drinking water security, and sustainably develop groundwater resources.
This document provides an introduction to a study on improving catchment assessment and management planning for watershed management programs in India. The study had three objectives: 1) To develop an improved methodology for catchment management planning in the Indian context, 2) To demonstrate this methodology in one sub-catchment area of around 100 square km, and 3) To create practical tools that can be used in government watershed programs in India. The main outputs of the study were expected to be a new catchment assessment and management planning methodology, a demonstration of the methodology in a sub-catchment area through hydrological modeling, scenario building and analysis, and stakeholder engagement. The methodology aims to address shortcomings in current approaches and provide a hydro
An information system for integrated land and water resources management in t...ijdms
A prerequisite for integrated land and water resources management (ILWRM) is a holistic river basin assessment. The latter requires information and data from different scientific disciplines but also appropriate data management systems to store and manage historical and real time data, set up protocols that facilitate data and information access and sharing among different stakeholders, and triggering
further collaboration among different institutions in support of watershed-based assessment, management and planning. In West Africa in general and especially in the transboundary Volta River basin where different environmental data are collected and managed by different agencies in different countries and also where data access and dissemination are very challenging and difficult tasks, comprehensive river basin information systems are required. This paper presents the Oti River Basin Information System (OtiRBIS), a web-based data storage, management and analysis platform that addresses these needs and facilitates ILWRM implementation in the Kara river basin.
The document summarizes efforts to upgrade India's hydrological information system through the Hydrology Project. Key aspects of the upgrade include standardizing data collection procedures, developing infrastructure like new observation stations, and establishing a comprehensive computerized database. Over 1,700 existing rainfall stations were reactivated or upgraded, 650 new river gauging stations were established, and 7,900 new groundwater observation wells were added. The upgraded system aims to provide reliable, accessible hydrological data to support improved water management across nine states in India covering 1.7 million square kilometers.
The document discusses monitoring water indicators for SDG Target 6.4 on water use efficiency and water stress. It outlines the definitions, methods of computation, and rationale for two indicators - 6.4.1 on change in water use efficiency over time, and 6.4.2 on level of water stress as freshwater withdrawal as a proportion of available resources. It provides country-level data on the indicators and discusses challenges countries may face in monitoring them and how FAO can provide support.
1. The Hydrology Project aims to develop an effective Hydrological Information System (HIS) in 9 states in India to improve water resources management. It involves modernizing data collection and processing systems.
2. Existing hydrological data collection systems in India are inadequate due to issues like manual data processing, gaps between tools available and used, and lack of integration between agencies.
3. The Hydrology Project is developing standardized software for surface water and groundwater data entry and processing to improve reliability, accessibility, and usability of hydrological data.
The Hydrology Project established India's Hydrological Information System by developing networks of hydro-meteorological stations, web-based data management systems, and tools for water resources planning and management. It involved 29 agencies across 13 states and 8 central government organizations. Key achievements include establishing surface and groundwater observation networks, databases for water quality and quantity data, decision support systems for integrated planning, and capacity building for water resource professionals. The project helped shift from isolated development to comprehensive basin-scale planning and management of water resources.
The World Bank conducted a final supervision and completion mission for the Hydrology Project in Andhra Pradesh from May 7-8, 2014. The project aimed to strengthen surface water data collection networks and build institutional capacity for hydrological data management and use. Key achievements included establishing 25 additional data collection stations, procuring IT equipment, developing a project website, and providing training. Expenditures totaled Rs. 4.13 crore against the revised project cost of Rs. 8.92 crore. Moving forward, the document discusses continuing project activities in Andhra Pradesh and potential areas of focus for a phase III of the Hydrology Project.
The document discusses groundwater usage and management in India. It notes that groundwater provides 61% of irrigation needs, 85% of rural drinking water, and 45% of urban water supply. However, 803 of 5845 assessment units in India are overexploited, and levels are declining in many areas. The Central Ground Water Board's objectives include comprehensive aquifer mapping, management plans, capacity building, and regulation to shift from "groundwater development" to "groundwater management" in a sustainable way through community participation. The goals are to improve data accuracy, manage aquifers locally, ensure drinking water security, and sustainably develop groundwater resources.
This document provides an introduction to a study on improving catchment assessment and management planning for watershed management programs in India. The study had three objectives: 1) To develop an improved methodology for catchment management planning in the Indian context, 2) To demonstrate this methodology in one sub-catchment area of around 100 square km, and 3) To create practical tools that can be used in government watershed programs in India. The main outputs of the study were expected to be a new catchment assessment and management planning methodology, a demonstration of the methodology in a sub-catchment area through hydrological modeling, scenario building and analysis, and stakeholder engagement. The methodology aims to address shortcomings in current approaches and provide a hydro
An information system for integrated land and water resources management in t...ijdms
A prerequisite for integrated land and water resources management (ILWRM) is a holistic river basin assessment. The latter requires information and data from different scientific disciplines but also appropriate data management systems to store and manage historical and real time data, set up protocols that facilitate data and information access and sharing among different stakeholders, and triggering
further collaboration among different institutions in support of watershed-based assessment, management and planning. In West Africa in general and especially in the transboundary Volta River basin where different environmental data are collected and managed by different agencies in different countries and also where data access and dissemination are very challenging and difficult tasks, comprehensive river basin information systems are required. This paper presents the Oti River Basin Information System (OtiRBIS), a web-based data storage, management and analysis platform that addresses these needs and facilitates ILWRM implementation in the Kara river basin.
The document summarizes efforts to upgrade India's hydrological information system through the Hydrology Project. Key aspects of the upgrade include standardizing data collection procedures, developing infrastructure like new observation stations, and establishing a comprehensive computerized database. Over 1,700 existing rainfall stations were reactivated or upgraded, 650 new river gauging stations were established, and 7,900 new groundwater observation wells were added. The upgraded system aims to provide reliable, accessible hydrological data to support improved water management across nine states in India covering 1.7 million square kilometers.
The document discusses monitoring water indicators for SDG Target 6.4 on water use efficiency and water stress. It outlines the definitions, methods of computation, and rationale for two indicators - 6.4.1 on change in water use efficiency over time, and 6.4.2 on level of water stress as freshwater withdrawal as a proportion of available resources. It provides country-level data on the indicators and discusses challenges countries may face in monitoring them and how FAO can provide support.
The two countries in southern Africa have classic configuration of being located in transboundary basins. There are many similarities as regards their interdependence on riparians. The presentation summarises possible complementarity and consistency in transboundary water management. The findings are based on almost 30 months of work in the region.
SWaRMA_IRBM_Module1_#4, IRBM implementation in nepal challenges and opportuni...ICIMOD
This presentation is the part of 12-day (28 January–8 February 2019) training workshop on “Multi-scale Integrated River Basin Management (IRBM) from the Hindu Kush Himalayan Perspective” organized by the Strengthening Water Resources Management in Afghanistan (SWaRMA) Initiative of the International Centre for Integrated Mountain Development (ICIMOD), and targeted at participants from Afghanistan.
Water accounting can be defined as the systematic study of the current status and future trends in water supply, demand, accessibility and use within a specified spatial domain. The concept of water accounting is based on the argument that knowledge of the current status of water resources, the capacity and condition of water supply infrastructure and trends in water demand and use is a precondition for successful water management, Land and Water Days in Near East & North Africa, 15-18 December 2013, Amman, Jordan
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The document discusses water accounting and integrated water resource management in South Africa. It provides background on South Africa's water policy, including the National Water Policy and National Water Act, and describes how water resource accounts have been constructed in South Africa using an input-output framework. The accounts analyze water flows between the environment, distributors, and sectors of production. Monetary analyses of water use and expenditures are also discussed. Comparisons of water use between South Africa, Namibia, and Botswana are presented.
A novel fuzzy rule based system for assessment of ground water potability: A ...IOSR Journals
This document presents a novel fuzzy rule-based system to assess groundwater potability in South India. Groundwater samples were collected from 24 districts in Karnataka and analyzed for 8 water quality parameters. A fuzzy logic approach was used to convert parameter concentrations into fuzzy membership values. Analytic hierarchy process was applied to assign weights to parameters. Rules were generated to classify water samples into one of four potability categories. The system found that 51.78% of samples from the 24 districts were not suitable for consumption based on their salt contents. A knowledge base and inference engine were developed as the main components of the fuzzy rule-based system.
This document summarizes Armenia's efforts to implement the UN Sustainable Development Goals (SDGs), particularly SDG 6 on clean water and sanitation. It discusses the establishment of inter-ministerial bodies to oversee SDG implementation. It notes that Armenia lacks an implementation strategy for SDG 6 targets. The project aims to identify gaps in achieving SDG 6, develop an implementation strategy and action plan, and build capacity for monitoring progress. The project is a partnership between the Armenian government, UNDP, and water sector experts.
This document discusses the development of national indicators of water security in Kyrgyzstan. It outlines the motivation and objectives to define water security and identify indicators that reflect the country's needs and priorities while aligning with sustainable development goals. A proposed definition of water security is presented. A methodology from the Asian Development Bank is used to delineate water security into 6 components and 25 elements, with the identification of 41 indicators. Examples are given of how the indicators can be used for policymaking by analyzing trends. Next steps include agreeing on the definition and indicators, developing an action plan, and incorporating the elements and targets into strategies and plans.
IRJET- Assessing Spatial Variability of Groundwater Quality using GIS Tec...IRJET Journal
This document summarizes a study that assessed the spatial variability of groundwater quality in Nadia District, West Bengal using GIS techniques. Groundwater quality data was collected from 166 sites during pre- and post-monsoon periods. Spatial distribution maps of water quality parameters were created using inverse distance weighting and natural neighbor interpolation techniques. A water quality index (WQI) map was also developed by integrating six key parameters and assigning weights based on drinking water standards. The WQI for most blocks in the district ranged from very poor to poor quality in both monsoon periods. Due to declining drinking water quality, efforts are needed to improve public health awareness at the household level.
Water Resource Management Powerpoint Presentation SlidesSlideTeam
Discuss the process of planning, developing, and managing the optimum use of water resources by using Water Resource Management PowerPoint Presentation Slides. This Water resource system PowerPoint slideshow can be used to explain the overview of market size, growth rate, and capital expenditure of the water industry. You can present the survey data for determining water quality by using the water cycle management PPT slideshow. Demonstrate the division of the wastewater treatment market by editing our content-ready water quality monitoring PowerPoint slide deck. You can easily edit our water resources presentation to highlight the natural processes and human processes that affect water quality. Showcase the leading factors that will affect the performance of the water technology market by using water quality assurance PowerPoint visuals. Key trends that will influence the water industry in the future such as increasing regulation, failing infrastructure, greater conservation, and efficiency, etc. can also be presented with the help of our ready-to-use water management PPT visuals. Discuss how you can design an effective water quality monitoring program by downloading our professionally designed water resource management PowerPoint slides. https://bit.ly/3fb5ExJ
Nih sw hydrological assessment of ungauged catchments (small catchments) maha...hydrologyproject2
This document discusses hydrology projects in India, specifically Phase II of a hydrology project. It provides background on ungauged basins and challenges in predicting hydrologic variables in them. Common methods used to estimate variables in ungauged basins include regional unit hydrographs, regional flood frequency analysis, and empirical formulas. It also discusses the Mahanadi River basin, including its geography and hydrology. Specific hydrologic analysis methods covered include flow duration curves, regional flow duration curves, unit hydrographs, and their uses in hydrologic prediction and design.
#MP2013 Presentation by the Minister of Water ResourcesFMINigeria
The document is a mid-term report by the Federal Ministry of Water Resources of Nigeria that summarizes achievements in the water sector from 2011-2013. Key highlights include strengthening water policies, increasing access to potable water and sanitation, and completing various dam and water supply projects. Major accomplishments are outlined such as completing the rehabilitation of Goronyo Dam and various water projects. Challenges remain around optimal development and management of Nigeria's water resources.
The document provides an overview of a nationwide survey conducted in Nepal on water supply and sanitation coverage and functionality:
- The survey was the first of its kind to collect comprehensive data from all wards across Nepal, with the aim of establishing a database to track progress. It found that national water supply coverage is 80.4% while sanitation coverage is lower at 43%.
- There are disparities in coverage between different regions. The Western region has the highest coverage for both water and sanitation. Functionality of water supply projects is also an issue, with only 17.9% found to be well-functioning.
- Recommendations include utilizing the survey data for planning, prioritizing rehabilitation
Chattahoochee River Watershed Case Study
Michael R. Barr, Alicia L. Case & Kim Werdeman
May 2013
M.Sc. in Sustainability Management | SEM 607 - Watershed Management
National University
This document provides an overview of desired future conditions (DFCs), which are quantified goals for groundwater resources like water levels or volumes at specific future times. Groundwater conservation districts within groundwater management areas are required to jointly develop DFCs through a public process. DFCs help inform the modeled available groundwater and groundwater management plans. Key points covered include what constitutes a DFC, the factors considered in developing them, the process for adopting DFCs, and examples of actual DFCs adopted in different groundwater management areas across Texas.
This document provides an overview of a Hydrological Information System (HIS) being developed for 9 states in India. It discusses the key components and activities of the HIS, which include: assessing user needs, establishing observation networks, managing historical data, collecting field data, processing and analyzing data, exchanging and reporting data, storing and disseminating data, and developing institutional and human resources. The overall goal of the HIS is to provide reliable hydrological data and information to support long-term water resources planning and management decisions in India.
The Hydrology Project has been running in India since 1995 and has significantly improved the availability and reliability of hydro-meteorological data in the country. It has established networks for instrumenting, processing, and applying hydrological data across nine states and six central agencies. The project focuses on building blocks like instrumentation, data processing, dissemination and specific applications like river basin planning tools, flood management tools, and studies. While the project has achieved a lot, further development is still needed to ensure sufficient high quality data for optimal water resources management in India according to the National Water Policy.
This document provides guidance on collecting, entering, and validating hydrological data for storage and use in a water resources information system in India. It discusses the mandatory information needed for spatial (e.g. well locations) and temporal (e.g. water level measurements) data. It also describes proper data collection procedures like using field forms, maintaining a data collection register, and entering data directly from field forms to reduce errors. The document emphasizes validation of data at multiple stages and storing data according to standards to ensure long-term usability and reliability of the hydrological information system.
This document discusses next steps after the completion of the Hydrology Project (HP) in India. It summarizes the gains from HP, including establishing an integrated hydrological monitoring network across agencies. Lessons learned include the need for clear expectations and benefits, improved management and implementation approaches, and addressing staffing and training issues. The document proposes expanding HP horizontally to other states and consolidating achievements in states already covered. It also suggests expanding vertically to enable real-time water data use, drought management, and an integrated water resources management system. Institutional reforms are recommended to establish river basin organizations for improved water governance.
The document provides information about a workshop on standards for groundwater monitoring, processing, and data dissemination. It includes the following key points:
1. The workshop aims to review current practices and adopt standard formats, techniques, and procedures for computerized groundwater data acquisition, processing, validation, retrieval and dissemination.
2. Topics to be addressed include computerized techniques, data standards, quality monitoring objectives and procedures, dedicated software demonstrations, and requirements for software.
3. The 3-day workshop program includes sessions on data standards, software discussions, and a visit to an operational digital monitoring network site. Standardizing procedures and using computerization can help establish a reliable hydrological information system.
Mh sw optimisation of g&d stations network of maharashtrahydrologyproject0
This document discusses optimizing the streamgauge and raingauge network for the Upper Bhima Basin in India. It provides background on hydrological information systems and networks in India. The Hydrology Project aims to improve India's capabilities for collecting and analyzing hydrological data. This study was conducted as part of the Hydrology Project to review and optimize the existing hydrometric network in Maharashtra state, which includes streamgauges and raingauges. The goal is to ensure the network is collecting the necessary data to facilitate optimal water resources use and management in the Upper Bhima Basin.
This document provides information on a training module for understanding hydrological information system (HIS) concepts and setup. It includes an introduction to HIS, why they are needed, how they are set up under the Hydrology Project. It also discusses who the key users of hydrological data are and how computers are used in hydrological data processing. The training module contains session plans, presentations, handouts, and text to educate participants on HIS objectives, components, and how they provide reliable hydrological data to various end users.
The two countries in southern Africa have classic configuration of being located in transboundary basins. There are many similarities as regards their interdependence on riparians. The presentation summarises possible complementarity and consistency in transboundary water management. The findings are based on almost 30 months of work in the region.
SWaRMA_IRBM_Module1_#4, IRBM implementation in nepal challenges and opportuni...ICIMOD
This presentation is the part of 12-day (28 January–8 February 2019) training workshop on “Multi-scale Integrated River Basin Management (IRBM) from the Hindu Kush Himalayan Perspective” organized by the Strengthening Water Resources Management in Afghanistan (SWaRMA) Initiative of the International Centre for Integrated Mountain Development (ICIMOD), and targeted at participants from Afghanistan.
Water accounting can be defined as the systematic study of the current status and future trends in water supply, demand, accessibility and use within a specified spatial domain. The concept of water accounting is based on the argument that knowledge of the current status of water resources, the capacity and condition of water supply infrastructure and trends in water demand and use is a precondition for successful water management, Land and Water Days in Near East & North Africa, 15-18 December 2013, Amman, Jordan
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The document discusses water accounting and integrated water resource management in South Africa. It provides background on South Africa's water policy, including the National Water Policy and National Water Act, and describes how water resource accounts have been constructed in South Africa using an input-output framework. The accounts analyze water flows between the environment, distributors, and sectors of production. Monetary analyses of water use and expenditures are also discussed. Comparisons of water use between South Africa, Namibia, and Botswana are presented.
A novel fuzzy rule based system for assessment of ground water potability: A ...IOSR Journals
This document presents a novel fuzzy rule-based system to assess groundwater potability in South India. Groundwater samples were collected from 24 districts in Karnataka and analyzed for 8 water quality parameters. A fuzzy logic approach was used to convert parameter concentrations into fuzzy membership values. Analytic hierarchy process was applied to assign weights to parameters. Rules were generated to classify water samples into one of four potability categories. The system found that 51.78% of samples from the 24 districts were not suitable for consumption based on their salt contents. A knowledge base and inference engine were developed as the main components of the fuzzy rule-based system.
This document summarizes Armenia's efforts to implement the UN Sustainable Development Goals (SDGs), particularly SDG 6 on clean water and sanitation. It discusses the establishment of inter-ministerial bodies to oversee SDG implementation. It notes that Armenia lacks an implementation strategy for SDG 6 targets. The project aims to identify gaps in achieving SDG 6, develop an implementation strategy and action plan, and build capacity for monitoring progress. The project is a partnership between the Armenian government, UNDP, and water sector experts.
This document discusses the development of national indicators of water security in Kyrgyzstan. It outlines the motivation and objectives to define water security and identify indicators that reflect the country's needs and priorities while aligning with sustainable development goals. A proposed definition of water security is presented. A methodology from the Asian Development Bank is used to delineate water security into 6 components and 25 elements, with the identification of 41 indicators. Examples are given of how the indicators can be used for policymaking by analyzing trends. Next steps include agreeing on the definition and indicators, developing an action plan, and incorporating the elements and targets into strategies and plans.
IRJET- Assessing Spatial Variability of Groundwater Quality using GIS Tec...IRJET Journal
This document summarizes a study that assessed the spatial variability of groundwater quality in Nadia District, West Bengal using GIS techniques. Groundwater quality data was collected from 166 sites during pre- and post-monsoon periods. Spatial distribution maps of water quality parameters were created using inverse distance weighting and natural neighbor interpolation techniques. A water quality index (WQI) map was also developed by integrating six key parameters and assigning weights based on drinking water standards. The WQI for most blocks in the district ranged from very poor to poor quality in both monsoon periods. Due to declining drinking water quality, efforts are needed to improve public health awareness at the household level.
Water Resource Management Powerpoint Presentation SlidesSlideTeam
Discuss the process of planning, developing, and managing the optimum use of water resources by using Water Resource Management PowerPoint Presentation Slides. This Water resource system PowerPoint slideshow can be used to explain the overview of market size, growth rate, and capital expenditure of the water industry. You can present the survey data for determining water quality by using the water cycle management PPT slideshow. Demonstrate the division of the wastewater treatment market by editing our content-ready water quality monitoring PowerPoint slide deck. You can easily edit our water resources presentation to highlight the natural processes and human processes that affect water quality. Showcase the leading factors that will affect the performance of the water technology market by using water quality assurance PowerPoint visuals. Key trends that will influence the water industry in the future such as increasing regulation, failing infrastructure, greater conservation, and efficiency, etc. can also be presented with the help of our ready-to-use water management PPT visuals. Discuss how you can design an effective water quality monitoring program by downloading our professionally designed water resource management PowerPoint slides. https://bit.ly/3fb5ExJ
Nih sw hydrological assessment of ungauged catchments (small catchments) maha...hydrologyproject2
This document discusses hydrology projects in India, specifically Phase II of a hydrology project. It provides background on ungauged basins and challenges in predicting hydrologic variables in them. Common methods used to estimate variables in ungauged basins include regional unit hydrographs, regional flood frequency analysis, and empirical formulas. It also discusses the Mahanadi River basin, including its geography and hydrology. Specific hydrologic analysis methods covered include flow duration curves, regional flow duration curves, unit hydrographs, and their uses in hydrologic prediction and design.
#MP2013 Presentation by the Minister of Water ResourcesFMINigeria
The document is a mid-term report by the Federal Ministry of Water Resources of Nigeria that summarizes achievements in the water sector from 2011-2013. Key highlights include strengthening water policies, increasing access to potable water and sanitation, and completing various dam and water supply projects. Major accomplishments are outlined such as completing the rehabilitation of Goronyo Dam and various water projects. Challenges remain around optimal development and management of Nigeria's water resources.
The document provides an overview of a nationwide survey conducted in Nepal on water supply and sanitation coverage and functionality:
- The survey was the first of its kind to collect comprehensive data from all wards across Nepal, with the aim of establishing a database to track progress. It found that national water supply coverage is 80.4% while sanitation coverage is lower at 43%.
- There are disparities in coverage between different regions. The Western region has the highest coverage for both water and sanitation. Functionality of water supply projects is also an issue, with only 17.9% found to be well-functioning.
- Recommendations include utilizing the survey data for planning, prioritizing rehabilitation
Chattahoochee River Watershed Case Study
Michael R. Barr, Alicia L. Case & Kim Werdeman
May 2013
M.Sc. in Sustainability Management | SEM 607 - Watershed Management
National University
This document provides an overview of desired future conditions (DFCs), which are quantified goals for groundwater resources like water levels or volumes at specific future times. Groundwater conservation districts within groundwater management areas are required to jointly develop DFCs through a public process. DFCs help inform the modeled available groundwater and groundwater management plans. Key points covered include what constitutes a DFC, the factors considered in developing them, the process for adopting DFCs, and examples of actual DFCs adopted in different groundwater management areas across Texas.
This document provides an overview of a Hydrological Information System (HIS) being developed for 9 states in India. It discusses the key components and activities of the HIS, which include: assessing user needs, establishing observation networks, managing historical data, collecting field data, processing and analyzing data, exchanging and reporting data, storing and disseminating data, and developing institutional and human resources. The overall goal of the HIS is to provide reliable hydrological data and information to support long-term water resources planning and management decisions in India.
The Hydrology Project has been running in India since 1995 and has significantly improved the availability and reliability of hydro-meteorological data in the country. It has established networks for instrumenting, processing, and applying hydrological data across nine states and six central agencies. The project focuses on building blocks like instrumentation, data processing, dissemination and specific applications like river basin planning tools, flood management tools, and studies. While the project has achieved a lot, further development is still needed to ensure sufficient high quality data for optimal water resources management in India according to the National Water Policy.
This document provides guidance on collecting, entering, and validating hydrological data for storage and use in a water resources information system in India. It discusses the mandatory information needed for spatial (e.g. well locations) and temporal (e.g. water level measurements) data. It also describes proper data collection procedures like using field forms, maintaining a data collection register, and entering data directly from field forms to reduce errors. The document emphasizes validation of data at multiple stages and storing data according to standards to ensure long-term usability and reliability of the hydrological information system.
This document discusses next steps after the completion of the Hydrology Project (HP) in India. It summarizes the gains from HP, including establishing an integrated hydrological monitoring network across agencies. Lessons learned include the need for clear expectations and benefits, improved management and implementation approaches, and addressing staffing and training issues. The document proposes expanding HP horizontally to other states and consolidating achievements in states already covered. It also suggests expanding vertically to enable real-time water data use, drought management, and an integrated water resources management system. Institutional reforms are recommended to establish river basin organizations for improved water governance.
The document provides information about a workshop on standards for groundwater monitoring, processing, and data dissemination. It includes the following key points:
1. The workshop aims to review current practices and adopt standard formats, techniques, and procedures for computerized groundwater data acquisition, processing, validation, retrieval and dissemination.
2. Topics to be addressed include computerized techniques, data standards, quality monitoring objectives and procedures, dedicated software demonstrations, and requirements for software.
3. The 3-day workshop program includes sessions on data standards, software discussions, and a visit to an operational digital monitoring network site. Standardizing procedures and using computerization can help establish a reliable hydrological information system.
Mh sw optimisation of g&d stations network of maharashtrahydrologyproject0
This document discusses optimizing the streamgauge and raingauge network for the Upper Bhima Basin in India. It provides background on hydrological information systems and networks in India. The Hydrology Project aims to improve India's capabilities for collecting and analyzing hydrological data. This study was conducted as part of the Hydrology Project to review and optimize the existing hydrometric network in Maharashtra state, which includes streamgauges and raingauges. The goal is to ensure the network is collecting the necessary data to facilitate optimal water resources use and management in the Upper Bhima Basin.
This document provides information on a training module for understanding hydrological information system (HIS) concepts and setup. It includes an introduction to HIS, why they are needed, how they are set up under the Hydrology Project. It also discusses who the key users of hydrological data are and how computers are used in hydrological data processing. The training module contains session plans, presentations, handouts, and text to educate participants on HIS objectives, components, and how they provide reliable hydrological data to various end users.
This document provides information on setting up a Hydrological Information System (HIS) for India. It includes details on:
1. Defining key concepts of a HIS, including that it is a system to collect, process, and disseminate hydrological data to provide useful information to users.
2. The need for a standardized HIS in India to better plan for water resources given the variability of water patterns and inadequacies of existing systems.
3. The Hydrology Project aims to improve existing HIS across 8 Indian states to provide more reliable hydrological data for planning and management.
This document provides an overview of the Hydrological Information System (HIS) developed under the Hydrology Project in India. It summarizes that the existing hydrological data collection systems in India were inadequate due to issues like manual data processing and lack of integration between agencies. The Hydrology Project aimed to develop an effective computerized HIS to improve collection, processing, and access to hydrological and related data across 9 states. It involved developing dedicated software, standardizing data collection procedures, and ensuring infrastructure and training to make the system sustainable over the long term. The HIS allows for automated observation, multi-level processing, and geographically distributed storage of hydrological data to better support water resources planning and management.
This document summarizes India's water resources challenges and the role of a Hydrological Information System (HIS) in addressing them. It notes that water availability is decreasing due to increasing demands from agriculture, urbanization, and other sectors. Flooding, water quality deterioration, and other issues are also challenges. A robust HIS can help manage this limited resource through standardized data collection, processing, and dissemination across agencies. The eventual goal is an integrated India Water Resources Information System (India-WRIS) to provide comprehensive water data and tools to support management and planning.
This document provides a final report on the Hydrology Project conducted from 2003 in India with technical assistance from organizations in the Netherlands and India. It summarizes the objectives of establishing a comprehensive Hydrological Information System across various agencies, the activities of the technical assistance provided, and achievements of the project. Key points:
- The project aimed to improve institutional capabilities for hydrological data measurement, collection, analysis and dissemination through a distributed hydrological information system.
- Technical assistance provided support in areas such as assessing user needs, establishing observation networks, data collection/processing, institutional development and training.
- A phased implementation approach was used, starting with planning and standardization before implementation and consolidation of the hydrological information
National Urban Rainwater Harvesting Guidelinesbiometrust
The NURWH manual has been written with an intent to provide a framework for effective implementation of rainwater harvesting in ULBs, following a step by step process of understanding the city’s/town’s objectives, defining technical details of rainwater harvesting, making amendments to legislation and byelaws, and also has examples of best management practices for rainwater harvesting design and utilization. It has been intended to address the coalition of policy objectives of the planning and building sectors, as well as those of the health authorities, water authorities, and local governments for strategic implementation of RWH.
The audience for the document
is envisioned to be Urban Development Departments/town planning departments of various states and City/Town governments
Talk on national water policy 2012 tata steel csr nrd 2015Kallol Saha
The Document provides Select briefs on National Water Policy of India . The talk was delivered by Kallol Saha in the event of TATA Steel National Workshop on 'Sustainable Water Resource Development' dated 11th -12th December at Beldih Club , Jamshedpur
This document provides guidance on reporting discharge data from hydrological monitoring stations. It outlines the contents and purpose of yearly reports, including descriptive summaries of streamflow patterns, basic statistics for selected stations, and comparisons to long-term averages. Periodic long-term reports every 5-10 years are also recommended to analyze trends over longer time periods. The reports aim to inform water resource planning and make hydrological data more accessible and understandable for users.
The document discusses the achievements and objectives of India's Hydrology Project Phases I, II, and III.
Phase I (1995-2003) established hydrological monitoring networks across 9 states. Phase II (2006-2014) expanded these networks to 13 states and strengthened data collection, management, and decision support systems.
Phase III aims to establish integrated water resources management across all Indian states and UTs. It will upgrade groundwater and meteorological monitoring, develop spatiotemporal data and tools to support planning, and strengthen institutions for capacity building. The workshop discussed opportunities for cross-learning and identifying appropriate technologies.
This document provides an operation manual for processing and analyzing groundwater data in India. It details the monitoring networks for water levels, water quality, and hydro-meteorology. It also describes how the data is organized in the Hydrological Information System (HIS) and discusses semi-static and dynamic data collected, including climate/rainfall reviews, groundwater level changes, and resource estimations. The setup of the groundwater agency is explained along with its roles in monitoring, research, and management.
This document provides an operation manual for processing and analyzing groundwater data in India. It details the various networks for monitoring water levels, water quality, and hydro-meteorological data. It also describes the typical geology, soils, lithology, and groundwater issues in the monitored area. Finally, it outlines the organizational setup of the groundwater agency responsible for data collection, processing, and reporting.
This document provides operational details for groundwater data processing and analysis in India. It outlines the monitoring networks for water levels, quality, and hydro-meteorology. It describes the geological structures, soil types, typical groundwater issues, and the organizational setup of the responsible groundwater agency. The agency collects various dynamic data through monitoring networks to estimate groundwater resources and inform management recommendations in an annual groundwater yearbook.
This document provides guidelines for creating a Groundwater Year Book that summarizes key hydrogeological data and monitoring information for a given region. It recommends including details of groundwater level and quality monitoring networks, interpreted trends in groundwater resources, issues of concern, and recommendations. The Year Book should be presented using graphs, maps and pictures with interpreted analysis rather than raw data. It aims to increase awareness and inform various stakeholders about the groundwater system and management needs.
Similar to Download-manuals-ground water-manual-gw-volume1designmanualhis (20)
This document provides guidance on working with map layers and network layers in HYMOS, a hydrological modeling software. It describes how to obtain map layers from digitized topographic maps and remotely sensed data. It also explains how to create network layers by manually adding observation stations or importing them from another database. The document outlines how to manage and set properties for map layers and network layers within HYMOS to control visibility, styling, and other display options.
This document contains information about receiving hydrological data at different levels in India, including:
1. Data is transferred from field stations to subdivisional offices, then to divisional offices and state/regional data processing centers in stages. Target dates are set for receipt and transmission at each level to ensure smooth processing.
2. Records of receipt are maintained at each office to track data and identify delays, with feedback provided if data is not received by targets.
3. Original paper records are filed by station for easy retrieval, while digital copies are stored for long-term archiving.
The document describes a training module on understanding different types and forms of data in hydrological information systems (HIS). It was developed with funding from the World Bank and Government of the Netherlands. The module provides an overview of the session plan and covers various types of data in HIS, including space-oriented data like catchment maps, time-oriented data such as meteorological observations, and relation-oriented data like stage-discharge relationships. The goal is for participants to learn about all the different types and forms of data managed in HIS.
The document provides details on a surface water data processing plan for India. It discusses distributing data processing activities across three levels - sub-divisional, divisional, and state data processing centers. It outlines the activities, computing facilities, staffing, and time schedules needed at each level to efficiently manage the large volume of hydrological data. The plan aims to ensure data is properly validated and processed within time limits while not overwhelming staff.
This document outlines the stages of surface water data processing under the Hydrological Information System (HIS) in India. It discusses: 1) Receipt of data from field stations and storage of raw records; 2) Data entry at sub-divisional offices; 3) Validation of data through primary, secondary, and hydrological checks; 4) Completion and correction of missing or erroneous data; 5) Compilation, analysis, and reporting of validated data; 6) Transfer of data between processing levels from sub-division to division to state centers. The overall goal is to process field data in a systematic series of steps to produce quality-controlled hydrological information.
This document provides guidance on reporting climatic data in India. It discusses the purpose and contents of annual reports on climatic data, including evaporation data. Key points covered include:
- Annual reports summarize evaporation data for the reporting year and compare to long-term statistics.
- Reports include details on the observational network, basic evaporation statistics, data validation processes.
- Network maps and station listings provide details of monitoring locations. Statistics include monthly and annual evaporation amounts for the current year and historical averages.
- Reports aim to inform water resource planning, acknowledge data collection efforts, and provide access to climatic data records.
This document provides information and guidance on analyzing climatic data to estimate evaporation and evapotranspiration rates. It discusses the use of evaporation pans and appropriate pan coefficients to estimate open water evaporation from lakes and reservoirs. It also describes the Penman method for estimating potential evapotranspiration using standard climatological measurements. The Penman method combines the energy budget and mass transfer approaches and provides formulas for calculating evapotranspiration based on climatic variables like temperature, humidity, wind speed, and solar radiation. Substitutions are suggested when some climatic variables are not directly measured.
This document provides guidance on how to carry out secondary validation of climatic data. It describes various methods for validating data spatially using multiple station comparisons, including comparison plots, balance series, regression analysis, and double mass curves. It also describes single station validation tests for homogeneity, including mass curves and tests of differences in means. The document is part of a training module on secondary validation of climatic data funded by the World Bank and Government of the Netherlands. It provides context for the training and outlines the session plan, materials, and main validation methods to be covered.
This document provides guidance on how to carry out primary validation of climatic data. It discusses validating temperature, humidity, wind speed, atmospheric pressure, sunshine duration, and pan evaporation data. For each variable, it describes typical variations and measurement methods, potential errors, and approaches to error detection such as setting maximum/minimum limits. The goal of primary validation is to check for errors by comparing individual observations to physical limits and sequential observations for unacceptable changes.
This document provides guidance on entering climatic data into a hydrological data processing software called SWDES. It describes the various types of climatic data that can be entered, including daily, twice daily, hourly, and sunshine duration data. Instructions are provided on inspecting paper records, setting up data entry screens, entering values, and performing basic data validation checks. The overall aim is to make climatic data available electronically using SWDES in order to facilitate validation, processing, and reporting of the data.
This document provides guidance on how to report rainfall data in yearly and periodic reports. It outlines the typical contents and structure of annual reports including descriptive summaries of rainfall patterns, comparisons to long-term averages, basic statistics, and descriptions of major storms. Periodic reports produced every 10 years would include long-term statistics updated over the previous decade as well as frequency analysis of rainfall data. The reports aim to inform stakeholders of rainfall patterns and data availability as well as validate and improve the quality of data collection.
The document describes a training module on analyzing rainfall data. It includes sessions on checking data homogeneity, computing basic statistics, fitting frequency distributions, and deriving frequency-duration and intensity-duration-frequency curves. Exercises are provided for trainees to practice analyzing monthly and daily rainfall series, fitting distributions, and deriving curves for different durations and return periods. Case studies from India are referenced as examples throughout the training material.
This document provides guidance on compiling rainfall data from various time intervals into longer standardized durations. It discusses aggregating hourly data into daily totals, daily data into weekly, ten-daily, monthly, and yearly totals. Methods are presented for arithmetic averaging and Thiessen polygons to estimate areal rainfall from point measurements. Guidance is also given on transforming non-equidistant time series into equidistant series and compiling extreme rainfall statistics. Examples demonstrate compiling hourly rainfall from an autographic rain gauge into daily totals and further aggregating daily point rainfall into areal averages and statistics for various durations.
This document provides guidance on correcting and completing rainfall data. It discusses using autographic rain gauge (ARG) and standard rain gauge (SRG) data to correct errors. When the SRG is faulty but ARG is available, the SRG can be corrected to match the ARG totals. When the ARG is faulty but SRG is available, hourly distributions from neighboring stations can be used to estimate hourly totals for the station based on its daily SRG total. The document also discusses correcting time shifts, apportioning partial daily accumulations, adjusting for systematic shifts using double mass analysis, and using spatial interpolation methods to estimate missing values. Examples are provided to demonstrate each technique.
This document describes a training module on how to carry out secondary validation of rainfall data. It includes the following key points:
1. Secondary validation involves comparing rainfall data to neighboring stations to identify suspect values, taking into account spatial correlation which depends on duration, distance, precipitation type, and physiography.
2. Validation methods described include screening data against limits, scrutinizing multiple time series graphs and tabulations, checking against data limits for longer durations, spatial homogeneity testing, and double mass analysis.
3. Examples demonstrate how spatial correlation varies with duration and distance, and how physiography affects correlation. Screening listings with basic statistics are used to flag suspect data values.
This document provides guidance on how to carry out primary validation of rainfall data. It discusses comparing daily rainfall measurements from a standard raingauge to those from an autographic or digital raingauge. Differences greater than 5% between the two measurements would be further investigated. Likely sources of error are outlined for each type of raingauge. The validation can be done graphically or tabularly by aggregating hourly rainfall data to daily totals and comparing. Actions are suggested based on the patterns of discrepancies found.
This document provides guidance on entering rainfall data into a dedicated hydrological data processing software (SWDES). It discusses entering daily rainfall data, twice daily rainfall data, and hourly rainfall data from manual records or digital loggers. The key steps are:
1. Manually inspecting field records for completeness and errors before data entry.
2. Entering data into customized SWDES forms that match field observation sheets. This allows direct data transfer with minimal risk of errors.
3. Performing automated checks of the entered data against limits and computed totals to ensure accuracy. Any errors are flagged for further inspection.
4. Graphing the entered time series data during the entry process as an additional validation check.
The document provides guidance on sampling surface waters for water quality analysis. It discusses selecting sampling sites that are representative of the waterbody and safely accessible. It describes three types of samples - grab samples, composite samples, and integrated samples - and when each would be used. It also outlines appropriate sampling devices and containers for different analyses, as well as procedures for sample handling, preservation, and identification. The overall aim is to collect samples that accurately represent water quality without significant changes prior to analysis.
The document describes methods for hydrological observations including rainfall, water level, discharge, and inspection of observation stations. It contains sections on ordinary and recording rainfall observation, ordinary and recording water level observation, observation of discharge using current meters and floats, and inspection of rainfall and water level observation stations. The document was produced by the Ministry of Construction in Japan.
This document provides guidance on how to review monitoring networks. It begins with an introduction on the objectives and physical characteristics that networks are based on. It then discusses the types of networks, including basic, secondary, dedicated, and representative networks. The document outlines the steps in network design, which include assessing data needs, setting objectives, determining required network density, reviewing the existing network, and conducting a cost-effectiveness analysis. Specific guidance is given on reviewing rainfall and hydrometric networks.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
1. Government of India & Government of The Netherlands
DHV CONSULTANTS &
DELFT HYDRAULICS with
HALCROW, TAHAL, CES,
ORG & JPS
VOLUME 1
HYDROLOGICAL INFORMATION SYSTEM
DESIGN MANUAL
2. Design Manual – HIS (GW) Volume 1
Hydrological Information System March 2003 Page i
Table of Contents
1 INTRODUCTION 0
1.1 GENERAL 0
1.2 NATIONAL WATER POLICY OF INDIA 1
2 HYDROLOGICAL INFORMATION SYSTEM 3
2.1 DEFINITION OF HIS 3
2.2 ROLE OF HIS 3
2.3 SCOPE OF ACTIVITIES UNDER HIS 4
2.4 STRUCTURE OF HIS 6
2.5 STAFFING OF HIS 10
2.6 TIME SCHEDULE FOR DATA TRANSFER AND PROCESSING 13
3 DATA USERS AND DATA REQUIREMENTS 15
3.1 GENERAL 15
3.2 MANDATE OF HYDROLOGICAL SERVICE AGENCIES 15
3.3 ASSESSMENT OF DATA REQUIREMENTS 16
3.4 HYDROLOGICAL DATA USER GROUP 18
3.5 WORKING PLAN OF HDUGs 21
3. Design Manual – HIS (GW) Volume 1
Hydrological Information System March 2003 Page 0
1 INTRODUCTION
1.1 GENERAL
Water plays a crucial role in the socio-economic development of India. Safe drinking water is required
for the very large and growing population. Water has also become a major constraining factor for the
growth of the agricultural and industrial sectors. In contrast, flooding frequently threatens populations
and their properties. Competing demands between users and states require proper planning, design
and management of water resources and water use systems. The availability of an efficient and
comprehensive Hydrological Information System (HIS), comprising a reliable data base on all aspects
of the hydrological cycle, is a prerequisite for such planning, design and management, to get better
decisions made as well as to achieve efficiency.
The prime objective of the Hydrology Project is to develop a sustainable Hydrological Information
System for 9 states in Peninsular India, set up by the state Groundwater and Surface Water
Departments and by the central agencies (CGWB and CWC ) with the following characteristics:
• Demand driven, i.e. output is tuned to the user needs
• Use of standardised equipment and adequate procedures for data collection and processing
• Computerised, comprehensive and easily accessible database
• Proper infrastructure to ensure sustainability.
This Hydrological Information System provides information on the spatial and temporal characteristics
of water quantity and quality variables/parameters describing the water resources/water use system in
Peninsular India. The information needs to be tuned and regularly be re-tuned to the requirements of
the decision/policy makers, designers and researchers to be able to take decisions for long term
planning, to design or to study the water resources system at large or its components.
This manual describes the procedures to be used to arrive at a sound operation of the Hydrological
Information System as far as hydro-meteorological and surface water quantity and quality data are
concerned. A similar manual is available for geo-hydrological data.
Each part consists of Ten volumes, covering:
1. Hydrological Information System, its structure and data user needs assessment
2. Sampling Principles
3. Hydro-meteorology
4. Geo-Hydrology
5. GIS –Creation of datasets
6. Water Quality sampling
7. Water Quality analysis
8. Data processing, and Analysis
9. Data transfer, storage and dissemination.
10. GW-Protocols
Each volume comprises one or more of the following manuals, viz:
• Design Manual, (Volumes 1, 2, 3, 4 and 6)
• Field Manual, (Volumes 1, 3, 4 and 6)
• Reference Manual (Volumes 1 to 4 and 8), and
• Operation Manual (Volumes 7 to 10).
4. Design Manual – HIS (GW) Volume 1
Hydrological Information System March 2003 Page 1
The Design Manuals provide the procedures for the design activities to be carried out for the
implementation and further development of the HIS. The Field Manuals and Operation Manuals are
instruction books describing in detail the activities to be carried out in the field (station operation,
maintenance and calibration), at the laboratory (analysis), and at the data processing centres (data
entry, validation, processing and analysis) and data storage centres (data transfer, storage and
dissemination). A Field/Operation Manual is divided into a number of parts, each describing a certain
activity, to be used at a particular field station, laboratory or processing/storage centre. The Reference
Manual of a particular Volume includes additional or background information on topics dealt with or
deliberately omitted in the Design, Field and Operation Manuals.
1.2 NATIONAL WATER POLICY OF INDIA
Ultimately HIS is meant to contribute to the realisation of GOI’s policies and strategies in the water
sector. The National Water Policy (MOWR, 2002) (see Volume 1, Reference Manual) specifies the
basic principles which should be followed in decision making and all activities in this sector, see Table
7.3. Integrated and coordinated development of surface water and ground water resources and their
conjunctive use, should be envisaged right from the project planning stage and should form an
integral part of the project implementation.
More specifically related to the HIS, the National Water Policy stipulates in article 2:
2.1 A well developed information system, for water related data in its entirety, at the national / state
level, is a prime requisite for resource planning. A standardised national information system
should be established with a network of data banks and data bases, integrating and strengthening
the existing Central and State level agencies and improving the quality of data and the processing
capabilities.
2.2 Standards for coding, classification, processing of data and methods / procedures for its collection
should be adopted. Advances in information technology must be introduced to create a modern
information system promoting free exchange of data among various agencies. Special efforts
should be made to develop and continuously upgrade technological capability to collect, process
and disseminate reliable data in the desired time frame.
2.3 Apart from the data regarding water availability and actual water use, the system should also
include comprehensive and reliable projections of future demands of water for diverse purposes.
Actually, the National Water Policy is essentially a guideline. There is a need to develop more definite
criteria for the management of this resource, such as the allocation of water amongst different users.
Proper application of such criteria in any specific situation requires a sound understanding of the
available water resources and their existing uses. This has to be supported by reliable hydrological
analysis for which, in turn, sufficient and accurate data is needed. HIS is set-up to provide this data.
The National Water Policy recognises the need for more specific strategies by asking in Article 3.3 for
the development of an overall water resources development plan for a hydrological basin as a whole,
in order that the best possible combinations of options can be made.
National sector and state policies and strategies
Water management is not an objective in itself, should contribute to the realisation of sector policies
and strategies. Most important sector policies are:
• Annual or Five Year Plan
• Agricultural and Irrigation Policies
• Drinking Water and Sanitation Policies
• Hydropower
• Environmental Protection, etc.
5. Design Manual – HIS (GW) Volume 1
Hydrological Information System March 2003 Page 2
In all cases reliable data on hydrological quantity and quality variables and parameters are required
for the analysis, design and implementation of strategies and policies, which are to be provided by the
Hydrological Information System.
Summary of National Water Policy of India
1. Water is a prime natural resource, basic human need and a precious national asset. Planning and
development of water resources need to be governed by national perspectives.
2. Water as a resource is one and indivisible. This needs a standardised national information system should be
developed with free exchange of data.
3. Water availability should be maximised by planning for a hydrological basin as a whole, including appropriate
institutions, taking into account conservation measures, recycling and inter-basin transfer.
4. Project planning should be done in an integrated and multi-disciplinary way, taking into account all users and
social impacts and preserving the environment and ecological balance.
5. Project facilities of irrigation systems in command areas should be properly monitored, maintained and, if
needed, modernised.
6. Proper organisational arrangement should ensure the sustainability and safety of water-related
infrastructure.
7. Groundwater development should not exceed the maximum recharging possibilities and be done in
conjunctive use with surface water.
8. Water allocation priorities are: drinking water, irrigation, hydro-power, navigation, industrial and other uses;
these priorities might be modified if necessary in particular regions with reference to area specific
considerations.
9. Adequate drinking water facilities should be provided.
10. Irrigation projects should be based on the command area development approach, aim for a maximisation of
the production but with due regard to equity and social justice.
11. Water rates should be set at such level as to be affordable, but convey the scarcity value of the resource to
the users and to foster the motivation for economic water use; they should be adequate to cover the annual
maintenance and operation charges and a part of the fixed costs.
12. Efforts should be made to involve farmers and voluntary agencies in the management of the irrigation
systems.
13. Surface and groundwater should be regularly monitored for quality and a phased programme should be
undertaken for improving the water quality.
14. Economic development and spatial planning should be done with due regard to the constraints imposed by
water availability.
15. Enhanced awareness should be promoted through education, regulation, incentives and disincentives.
16. For each flood prone basin a master plan should be developed for flood control and management, including
soil conservation measures and preservation of forests; an extensive network for flood forecasting should be
established for timely warning to settlements.
17. Erosion of land by sea and rivers should be minimised by suitable cost-effective measures
18. Drought prone areas should be given priority in planning water resources development through specific
measures, i.e. water harvesting, groundwater use, inter-basin transfer and encouraging less water-
demanding crops.
19. To support the effective and economical management of India’s water resources appropriate inputs in the
field of science and technology should be developed.
20. A perspective plan for standardised training should be an integral part of water resources development.
Conclusion: The planning and management of water resources and its optimal, economical and equitable use
has become a matter of the utmost urgency. The success of the national water policy will depend entirely on the
development and maintenance of a national consensus and commitment to its underlying principles and
objectives.
Table 1.1: Summary of National Water Policy of India (MOWR,2002 )
6. Design Manual – HIS (GW) Volume 1
Hydrological Information System March 2003 Page 3
2 HYDROLOGICAL INFORMATION SYSTEM
2.1 DEFINITION OF HIS
In each state and for the central agencies Hydrological Information Systems have been developed. A
Hydrological Information System comprises the physical infrastructure and human resources to
collect, process, store and disseminate data on hydrological, geo-hydrological and hydro-
meteorological variables. The physical infrastructure includes observation networks, laboratories, data
communication systems and data storage and processing centres equipped with databases and tools
for data entry, validation, analysis, retrieval and dissemination. The human resource refers to well
trained staff with a variety of skills to observe, validate, process, analyse and disseminate the data.
Efficiency requires that all activities in the HIS are well tuned to each other, to provide the required
data on time in proper form and at minimum cost.
In this chapter the scope of activities in the HIS, its structure and staffing is dealt with.
2.2 ROLE OF HIS
The primary role of the HIS is to provide reliable data sets for long-term planning and design and to
frame rules for management of water resource and water use systems and for research activities in
the related aspects. It is also desired that the system functions in such a manner that it provides the
information to users in time and in proper form. The scope of HIS is not extended to provide data to
users on a real-time basis for short-term forecasting or for operational use.
Figure 2.1: Role of Hydrological Information System
7. Design Manual – HIS (GW) Volume 1
Hydrological Information System March 2003 Page 4
To be able to provide this information the first step is to obtain the information on the temporal and
spatial characteristics of this object system by having a network of observational stations. The basic
data collected for different hydro-meteorological phenomenon through this observational network is
called the observed or field data. Such observed data have to be processed to ensure its reliability.
Both field and processed data sets have to be properly stored, i.e. processed data for dissemination
and field data to permit inspection and revalidation in response to queries from users.
2.3 SCOPE OF ACTIVITIES UNDER HIS
The activities under HIS can be broadly classified in the following categories:
• Assessing the needs of users
• Establishment of an observational network
• Management of historical data
• Data collection
• Data processing, analysis and reporting
• Data exchange and reporting
• Data storage and dissemination
• Institutional and human resource development
Assessing the needs of users
To make full consideration of user needs a Hydrological Data User Group (HDUG) for each state and
for the central agencies has been constituted. Potential hydrological data users and the members of
HIS implementing agencies are represented in these HDUGs. The main aim of such HDUGs is to
review hydrological information needs and, on a regular basis of about 3-5 years, to identify shortfalls
and to make suggestions and proposals for improvements. This will then require the implementing
agency to reconsider its mandate and HIS objectives and incorporate improvements where possible.
Improvements may also be needed to take care of equipment technology updates.
Establishment/review of observational networks
After the objectives of the system are laid down, the observational network has to be accordingly
planned, designed and established/upgraded/adjusted. It is also important to ensure that the
observational networks of different agencies are properly integrated so that duplication is avoided.
The equipment as per the revised objectives and design are installed at the observational stations.
The process may be repeated after periodic reviews of requirements.
Management of historical data
State and central agencies have maintained observational networks for many years and voluminous
records are held, the majority on manuscript or chart records, which are not readily accessible for use
and are of variable quality. A program of historical data entry has been established in each agency
holding such data. Priority is given to ensuring that current data are entered validated and stored
effectively. The next priority is for historic data of the immediate past ten years and so on.
Data collection
Institutional, human and budgetary supports are a prerequisite for smooth operation and maintenance
of the observation stations and the associated collection of data. The established network has a
number of observation stations and at each station a number of variables is observed at a specified
frequency. The observations are taken manually or automatically depending upon the type of
instrument available at the station. Suitable number of persons having skills appropriate to their job
requirement (e.g., Supervisors, Technicians, Observers, Helpers etc.) are engaged and materials are
8. Design Manual – HIS (GW) Volume 1
Hydrological Information System March 2003 Page 5
provided at the observation sites for carrying out day-to-day data collection work and also for regular
maintenance.
Data processing, analysis and reporting
Data processing is a broad term covering all activities from receiving records of observed field data to
making them available in a usable form. The field data are in a variety of formats such as hand-written
records, charts and digital records. Data as observed and recorded may contain many gaps and
inconsistencies. These observed data are passed through a series of operations, typically:
• Data entry
• Making necessary validation checks,
• Infilling missing values in a data series,
• Processing of field data to estimate required variables,
• Compilation of data in different forms and
• Analysis of data for commonly required statistics etc.
Most of the data processing activities are to be accomplished with the help of computers using
dedicated hydrological data processing software. Of particular importance is assuring the quality and
reliability of the data provided to users through the application of a variety of validation procedures
and the flagging of suspect data. The user must be informed of the quality of the data supplied and
whether the values are estimated or observed.
Reports are prepared to bring out the salient characteristics of the hydrological regime of the region
for each year or season. Special reports are also made as and when required for attracting the
attention of the users towards unusual events, major changes in the hydrological regime or to
disseminate important revised long term statistics regularly.
Data exchange and communication
Data processing activities are carried out at more than one level within each agency and this makes it
essential to have adequate data transport/communication links between them. The requirement for
communication is to be based on a low frequency and high volume of communication. There is need
for exchange of information between various agencies for the purpose of data validation as surface
and groundwater networks are operated by different state and central agencies.
Data storage and dissemination
All available data sets are maintained in well-defined computerised databases using an industry-
standard database management system. This is essential for the long-term sustainability of the data
sets in proper form and their dissemination to the end users. Both, field and processed data sets are
properly stored and archived to specified standards so that there is no loss of information. There is
flexibility for data owners to decide user eligibility for data. Once eligibility is decided all agencies
apply standard procedures for the dissemination of data to the users from the computerised
databases.
The type of data stored in the database include:
• Geographical and space oriented data, i.e. static or semi-static data on catchment features and
hydraulic infrastructure
• Location oriented data, including static or semi-static data of the observation stations and
hydraulic structures
• Time oriented data, covering equidistant and non-equidistant time series for all types of
meteorological, climatic, water quantity, quality and sediment data, and
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• Relation oriented data on two or more variables/parameters used with respect to meteorological,
climatic, water quantity, quality and sediment data
Institutional and Human Resources development
Since HIS is a vast system, the aspect of institutional and human resource development needs to be
given proper emphasis. The institutions supporting the HIS must be developed in such a manner that
the system is sustainable in the long run. The staff required to carry out different activities under HIS
are to be made available and very importantly they must all be trained to carry out the desired tasks.
Such training support is to be ensured on a sustainable basis since there will always be a need for
training more staff, to replace staff moving out due to retirements and rotational transfers.
2.4 STRUCTURE OF HIS
To provide timely reliable space-, location-, time- and relation-oriented data of the water
resources/water use system, the HIS comprises the following components (see Figure 2.2):
1. In each State
• Ground Water Observation Networks, Hydro-meteorological and Surface Water networks,
• Water Quality Laboratories,
• District Data Processing Centres, one in each District,
• Divisional/Regional Data Processing Centres, one in each Division/Region,
• State Data Processing Centres, one in the State Groundwater Department, State Surface Water
Department and
• a State Data Storage Centre.
2. In the Central Ground Water Board
• Groundwater Observation Networks,
• for each Unit a Data Processing Centre,
• for each Region a Data Processing and a Data Storage Centre, and
• a National Data Centre.
3. In the Central Water Commission
• Surface Water Observation Networks,
• Water Quality Laboratories,
• Sub-divisional Data Processing Centres, one in each Sub-division
• Divisional Data Processing Centres, one in each Division,
• for each Region a Data Processing and a Data Storage Centre, and
• at National level a National Data Centre.
A data transport/communication system provides for data exchange within and between the states
and central organisations.
Activities at various levels of the HIS
In short, in the HIS of a state the following activities take place at the various levels.
• At the Observation wells/Piezometers in the groundwater level observation networks water level
data and water quality samples are collected. The water samples are brought to the Water Quality
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Laboratories. At regular intervals (monthly/quarterly) the field data are computerised –n the
District/Division/Regional Data Processing Centres.
• In the Water Quality Laboratories, beside the analysis of water quality samples, the analysis
results are entered in the computer and subjected to primary validation. At regular intervals, the
laboratory passes the information on to the nearest District/Divisional or Regional Data
Processing Centre.
• In the District Data Processing Centres all field data are entered or incorporated in the
database. Next, primary and secondary validation take place on the data. The Validated data are
passed on to the higher level Data Processing Centre immediately after carry out regional
validations .
Figure 2.2: HIS structure at State/Regional level
• In the Divisional/Regional Data Processing Centres, given their larger spatial coverage, more
advanced secondary data validation is carried out. The data are stored in temporary databases.
After validation, the surface water and groundwater data are transferred to their respective State
Data Processing Centres.
• In the State Data Processing Centres, after reception of the data from its Divisions/Regions, a
copy of the field data is transferred to the State Data Storage Centre. The main activity of the
State Data Processing Centre is final data validation, completion, analysis and reporting. Here,
the data are stored in temporary databases. At the end of the hydrological year, once the data
have been properly validated, the (authenticated) processed data is transferred to the State Data
Storage Centre. To improve the effectiveness of the final validation, in the State Centres use is
made of the relevant data collected by the Central Agencies.
FIELD
DDPC
RDPC
USERS
FIELDFIELDFIELDFIELD
UDPCSDDPC
DDPCrDPCDDPC
RDPCSGWDPCSWDPCSDPC
SDSC
NDSC/
RDSC
NDSC/
RDSC
NDSC
INTER-AGENCY DATA VALIDATION
OBSERVATIONS
DATA ENTRY/
PRIMARY VALIDATION
SECONDARY
VALIDATION
HYDROLOGICAL
VALIDATION
DATA STORAGE/
DISSEM INATION
CWC CGWBSTATEIMD
DATA EXCHANGEDATA FLOW
SDDPC dDPC
Activities
OVERALL
STRUCTURE OF
HIS
11. Design Manual – HIS (GW) Volume 1
Hydrological Information System March 2003 Page 8
• The State Data Storage Centre stores and administers the storage of all field and
(authenticated) processed hydrological data collected in the State, and makes the data available
to authorised Hydrological Data Users. As a State archive, it also maintains an HIS-Catalogue of
all data stored in its own database and those stored in the databases of the other states and of
the Central Agencies.
The flow of data at the various levels in the HIS organisation is shown in Figure 2.3.
Figure 2.3: Data flow in HIS
Collection of
SW / GW
field data
Water
sampling
Laboratory
testing
Analyses
Catalog
Field Data
from Central
agencies
CGWB
Field Data
CWC &
IMD
Field Data
Management Feedback
Temporary Database
Temporary Database
Temporary DPC Database
DSC database
Data Flow
HIS - Activities in data collection, processing, and storage
Transfer to
State DPC
Transfer to Div/
Regional DPC
Transfer to
Subdiv/Dist DPC
Transfer to
State DSC/DPC
Reporting
Transfer to
State DSC
Primary
Validation
Secondary
Validation
Final
Validation
Authenti-
cated Data
Central Agen-
cies’ field data
Temporary Database
Primary
Validation
Field/
Test
data
Field
data
Field
data
Test
data
Processed
WQ data
Field/
Test
data
12. Design Manual – HIS (GW) Volume 1
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Separation of data processing and data storage functions
In HIS the data processing and the data storage functions are separated; data processing is done in
the Data Processing Centres, whereas the data archives are in the Data Storage Centres. Data
processing and validation is a technical task for which hydrologists/geo-hydrologists are qualified,
whereas final data storage, i.e. the library function, is the domain of database managers. This
distinction is absolutely necessary for a number of reasons:
• Processing and storage are different disciplines, which require different expertise, tools, hardware
support, activities and responsibilities,
• To guarantee discipline in building the database and its sustainability on the long term,
• To make sure that for design and decision making data are being used, which passed all steps of
validation,
• To avoid mixing of fully processed data and the data under processing,
• To register and control receipt and supply of authenticated data to and from the database in a
formalised manner,
• To ensure compatible database configuration and protocols by all agencies,
• To maintain a professional data security system under which each organisation maintains its
independence for user authorisation and data circulation, and
• for an easier upgrading/replacement of either data storage or data processing tools in case of
new developments
Centralised versus distributed storage
Though the approach described above calls for separation of data processing and data storage
functions, separate Data Storage Centres for Surface Water and Groundwater Departments are not
advocated. Combining the data storage activities in a State in one Data Storage Centre has
advantages over separate centres, fully in line with the National Water Policy (MoWR, GoI, 2002).
Advantages include:
1. A combined centre stimulates co-operation between all the Central and State Organisations which
improves quality of the data,
2. It greatly benefits users by providing all information from a single place and thereby enhanced the
water resources assessment,
3. It improves the sustainability of the system and enhances the chances of a uniform
system/approach on the long term, and
4. It reduces cost of hardware, software and of staff.
In case of a combined Data Storage Centre the manager can be appointed from the Surface Water or
Groundwater side at the discretion of the competent authority. Where Surface Water and
Groundwater Organisations are placed under different ministries a formal decision has to be taken
under which Ministry the Data Storage Centre has to be placed , with its inherent responsibilities for
staffing and maintenance, or whether each organisation should have its own Data Storage Centre.
13. Design Manual – HIS (GW) Volume 1
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2.5 STAFFING OF HIS
S.No. Category/HIS Function Code
General
1. General
1.1 Data Centre manager/ Head of the Hydrological Info System S12
2. Data Storage Centre
2.1 Database administrator I2
2.2 Information techn. and database expert I1
2.3 Secretary -
Surface Water
3. State Data Processing Centre
3.1 State DPC manager S11
3.2 Hydrologist S10
3.3 Water quality expert Q8
3.4 Information techn. and database expert I1
3.5 DPC assistant S4
3.6 Secretary -
4. Divisional Data Processing Centre
4.1 Divisional DPC manager S9
4.2 Assistant hydrologist S5
4.3 Trainer (Ass. hydrologist) S8
4.4 Hydrological equipment manager S7
4.5 DPC assistant S4
4.6 Secretary -
5. Sub-divisional Data Processing Centre
5.1 Sub-divisional DPC manager S6
5.2 Assistant hydrologist S5
5.3 DPC assistant S4
6. Field Station
6.1 Observer/Head of station S3
6.2 Gauge reader S2
6.3 Helper S1
Meteorology
7. Full Climatic Station
7.1 Senior observer M2
8. Rainfall station (rainfall)
8.1 Observer M1
Ground water
9. State Data Processing Centre
9.1 State DPC manager G12
9.2 Hydrogeologist G11
9.3 Trainer G10
9.4 Water quality expert Q7
9.5 GIS expert G9
9.6 Information techn. and database expert I1
9.7 DPC assistant G8
9.8 Secretary -
10. Regional Data Processing Centre
10.1 Regional DPC manager G7
10.2 Hydrogeologist G6
10.3 Assistant hydrogeologist G5
10.4 Geohydrological equipment manager G4
11. District Data Processing Centre
11.1 District DPC manager G3
11.2 GW Data Processor G2
11.3 Field data collector G1
Water Quality
12. Water quality laboratory
12.1 Laboratory supervisor Q6
12.2 Head of the laboratory Q5
12.3 Trainer (Chemist) Q4
12.4 Chemist Q3
12.5 Assistant chemist Q2
Table 2.1:
Staffing for HIS functions
and coding as used in job
descriptions
The following coding is used:
1. for Surface Water: S1..S12
2. for Meteorology: M1..M2
3. for Ground Water: G1..G12
4. for Water Quality: Q1..Q8
5. for Information Technology:
I1..I2
14. Design Manual – HIS (GW) Volume 1
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In Table 2.1 an overview is given of the HIS functions, their requirement in the field stations/offices
and in the data centres, and the coding as used in the job descriptions. The job descriptions
associated with these functions are presented in the Chapter 1 of Volume 1, Field Manual, HIS.
Field staff
The staff requirements for the surface water gauging sites and meteorological sites are elaborated in
Table 2.2. Note that the staff numbers and functions depend on the type of site. To be able to
economise on staff numbers at surface water gauging sites one or both of the following measures can
be taken to reduce on the number of flow measurements at a particular site:
1. by making a distinction between discharge stations with:
• stable control sections, and
• unstable control sections,
and/or
2. by applying roving teams for discharge gauging.
For unstable control sections each year a discharge rating curve has to be established, whereas for
the stable sites the establishment of such a curve once per three years will be sufficient.
Applying roving teams for flow measurements (not for gauge observations!) implies that one field
team looks after more stations in a year. Assuming that at least 20 data points are required to
establish a rating curve, and given the duration of the monsoon, it is anticipated that a roving team
can cover at least two stations per year. Large annual savings are possible by implementing both
measures.
With respect to rainfall and full climatic stations, a distinction is made between sites which do and
those which do not coincide with surface water gauging stations. In the latter case separate observers
are required, whereas at the surface water gauging site the gauge reader will carry out the
meteorological observations.
No. of Staff required for various types of sites
Fixed Staff Roving StaffS.No.
Name as per
Job
HIS
Designation
Structure
type site
Br./CW
type site
Boat
type site
Br./CW
type site
Boat
Type site
Rainfall
Station
Full
Climatic
Stations
(FCS)
1 Helper S1 0 0 0 1 2 0 0
2 Gauge reader S2(+M1/M2) 1 1 1 1 1 0 0
3 Observer S3 0 0 0 1 1 0 0
4 Observer (Met.) M1 0 0 0 0 0 1 0
5 Sr. Obs. (Met.) M2 0 0 0 0 0 0 1
Table 2.2: Field staff requirements
Data processing and storage centres and laboratories
In Table 2.3 and 2.4 the staff requirements for the Surface Water Data Centres and Water Quality
Laboratories are elaborated.
15. Design Manual – HIS (GW) Volume 1
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S..No. Name as per Job HIS
Designation
No. of Staff required for Office/WQ Laboratory
NDSC NDPC RDSC RDPC SDSC SDPC WQ II+ DO WQ II SDO
1 Manager Data Centre S12 1 0 1 0 1 0 0 0 0 0
2 DB Administrator I2 1 0 1 0 1 0 0 0 0 0
4 IT Expert I1 0.5 0.5 0.5 0.5 0.5 0.5 0 0 0 0
5 Secretary 0.5 0.5 0.5 0.5 0.5 0.5 0 0 0 0
6 Manager DPC S11/S9/S6 0 1 0 1 0 1 0 1 0 1
7 Hydrologist S10 0 4 0 4 0 4-6 0 0 0 0
8 WQ Expert Q8 0 1 0 1 0 1 0 0 0 0
9 Assistant Hydrologist S5 0 0 0 0 0 0 0 1 0 1
10 DPC Assistant S4 0 2 0 2 0 2 0 1 0 1
11 Trainer (SW) S8 0 0 0 0 0 0 0 1 0 0
12 Manager Hydro. Equip.(SW) S7 0 0 0 0 0 0 0 1 0 0
13 Senior Chemist Q6/Q5 0 0 0 0 0 0 1 0 1 0
14 Chemist Q3 0 0 0 0 0 0 2 0 1 0
15 Assistant Chemist Q2 0 0 0 0 0 0 3 0 2 0
16 Trainer (WQ) Q4 0 0 0 0 0 0 0 0 1 0
Table 2.3: Staff requirements for various types of Surface Water offices and Water Quality
laboratories
S.No. Name as per Job HIS
Designation
No. of Staff required for Office/WQ Laboratory
NDSC NDPC RDSC RDPC SDSC SDPC WQ II+ UO RO/
CO
SR/
DO
WQ II
1 Manager Data Centre S12 1 0 1 0 1 0 0 0 0 0 0
2 DB Administrator I2 1 0 1 0 1 0 0 0 0 0 0
3 IT Expert I1 0.5 0.5 0.5 0.5 0.5 0.5 0 0 0 0 0
4 Secretary 0.5 0.5 0.5 0.5 0.5 0.5 0 0 0 0 0
5 Manager DPC G12/G7/G3 0 1 0 1 0 1 0 1 1 1 0
7 Hydrogeologist G11 0 4 0 4 0 4 0 0 1 0 0
8 WQ Expert Q7 0 1 0 1 0 1 0 0 0 0 0
9 GIS Expert G9 0 1 0 1 0 1 0 0 0 0 0
10 DPC Assistant G8 0 2 0 2 0 2 0 0 0 0 0
11 Trainer (GW) G10 0 0 0 1 0 1 0 0 0 0 0
12 Assistant hydrogeologist G5 0 0 0 0 0 0 0 0 2 0 0
13 Equip. Manager (GW) G4 0 0 0 0 0 0 0 0 1 0 0
14 GW Data Processor G2 0 0 0 0 0 0 0 1 0 1 0
15 Field data collector G1 0 0 0 0 0 0 0 3 0 3 0
16 Senior Chemist Q6/Q5 0 0 0 0 0 0 1 0 0 0 1
17 Chemist Q3 0 0 0 0 0 0 2 0 0 0 1
18 Assistant Chemist Q2 0 0 0 0 0 0 3 0 0 0 2
19 Trainer (WQ) Q4 0 0 0 0 0 0 0 0 0 0 1
Table 2.4: Staff requirements for various types of Ground Water offices and Water Quality
laboratories
Legend:
Surface water (Table 2.3) Groundwater (Table 2.4)
NDSC = National Data Storage Centre (CWC) NDSC = National Data Storage Centre
NDPC = National Data Processing Centre (CWC) NDPC = National Data Proc. Centre (CGWB)
RDSC = Regional Data Storage Centre (CWC) RDSC = Regional Data Storage Centre (CGWB)
RDPC = Regional Data Processing Centre (CWC) RDPC = Regional Data Proc. Centre (CGWB
SDSC = State Data Storage Centre of State SW SDSC = State Data Storage Centre of State GW
SDPC = State Data Processing Centre of State SW SDPC = State Data Proc. Centre of State GW
WQ II+ = WQ Level II+ Laboratory WQ II+ = WQ Level II+ Laboratory
WQ II = WQ Level II Laboratory WQ II = WQ Level II Laboratory
DO = Divisional offices of CWC and State SW agencies UO = Unit offices of CGWB
SDO = Sub-divisional offices of CWC and State SW agencies RO/CO = Regional/Circle offices of State GW
SR/DO = Sub-regional/District/Div. off.of state
16. Design Manual – HIS (GW) Volume 1
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In short, for the Surface Water Data Centres the listed staff will have the following tasks:
At Sub-divisional Data Processing Centre
• One data processing centre assistant for data entry and assistance job
• One assistant hydrologist for carrying out primary data validation will be available.
• The sub-divisional data processing centre manager will ensure the functioning of the Sub-
divisional Data Processing Centre.
At the Divisional Data Processing Centre
• One data processing centre assistant for data entry and assistance job
• One assistant hydrologist for carrying out secondary data validation will be available.
• The divisional data processing centre manager will ensure the functioning of Divisional Data
Processing Centre.
At the State/Regional Data Processing Centre
• Two data processing centre assistants for data entry and assistance job
• 4-6 hydrologists (as per quantum of work, roughly one hydrologist per division) for accomplishing
final data validation, compilation and reporting activities will be available.
• Support of water quality, database and information technology expert will also be available at the
centre.
• The State/Regional Data Processing Centre manager will ensure the overall functioning of the
State/Regional Data Processing Centre.
At the State/Regional Data Storage Centre
• A data centre manager/head of the Data Storage Centre, who has the overall responsibility for the
operation of the Data Storage Centre, the DSC liase with the data providers and the data users
and administer/implement state/agency regulations and arrange data access privilege to users in
accordance with the regulations in force.
• A database administrator, who has the overall responsibility for the operation of the database and
administers the data input streams and data retrieval.
• Support of an information technology expert will be available,
• Support staff for reception and secretarial work.
2.6 TIME SCHEDULE FOR DATA TRANSFER AND PROCESSING
Maintenance of a strict time schedule for all the data transfer from the field and processing activities at
the various data processing centres is of utmost importance for the following reasons:
• to take timely actions at the observation sites in case of error,
• to create continuity in the processing activities at various data centres,
• to accommodate regular exchange of data between the state and central agencies validating the
data of the same drainage/ basin
• to ensure timely availability of authenticated data for use in planning, design and operation.
Hence, it is all the more important that activities at all the data processing centres are carried out in
time. The time schedule for the completion of activities at various data processing centres is as given
below.
17. Design Manual – HIS (GW) Volume 1
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•
At the Divisional/District Data Processing Centres
• The data of any month from all District/Divisional /Sub-divisional Data Processing Centres under
its jurisdiction must be available by 15 days after scheduled date of collection.
• The primary and secondary data validation should also be completed by the prescribed period.
The field and processed data sets along with the primary and secondary validation reports for
each month must leave the district/ divisional data processing by the end date of every month
At the State/Regional Data Processing Centre
• The data of any previous month from all the divisional/district data processing centres of the
state/region must be available by the 5th
of the next month. That is to say that the data sets of
June (both field data and partly validated data) must reach the State/Regional Data Processing
Centre by 5th
August.
• Within 15 days the field data set must be validated and transferred to the Data Storage Centre,
i.e. the data of June should be available at the Data Storage Centre not later than 20th
August.
• At the Data Processing Centre all the required actions must be completed on the incremental data
sets by the last date of the month in which the data has been received, so the observed data of
June is completed at the State/Regional Data Processing Centre by 31 August. These data will be
held as a provisional processed data-set until the end of the hydrological year, when they will be
forwarded to the State/Regional Storage Centre as a confirmed (authenticated) data-set for
general dissemination to users.
At the State/Regional Data Storage Centre
• Both field and fully processed and validated data will be held at the State/Regional Storage
Centre
• Field data sets will be received within 8 weeks after the month in which the data have been
collected.
• Fully processed and validated data will be received within three months after the end of the water
year and made available for general dissemination. Only under exceptional circumstances will
validated data from the State/Regional Data Storage Centre be retrieved for correction at the
State/Regional Data Processing Centre.
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Inter-agency/inter-level meetings
There must also be at least two meetings every year in which different agencies, which operate in the
region, discuss the consistency of the data sets between the agencies and finalise them. For the data
pertaining to June-December and January-May such meetings must be concluded by the end of
February and August each year, respectively. Before such finalisation the processed data sets must
be considered as of provisional nature only.
A higher frequency of exchange of views on data interpretation between the various parties within the
organisation and between the organisations working in the same region is essential and should be
stimulated.
3 DATA USERS AND DATA REQUIREMENTS
3.1 GENERAL
In the set up of the Hydrological Information System the first question to be addressed is the type of
information to be provided. This determines the layout of the observation network (parameters,
network density, observation frequency, equipment, etc.) and the data available in the databases. The
type of information to be provided requires an analysis of the potential hydrological data users. The
Central and State Government agencies, which support the Hydrological Information System, are the
major users of the generated information. There are scores of other governmental, non-governmental
and private agencies also, which make good use of this information. It is obvious that the hydrological
data needs, of the users, also change over time. Therefore, it is very important to identify the potential
data users and regularly analyse their data needs. Normally, it is expected that the hydrological
information service agencies satisfy most of the genuine data needs of the potential users in particular
and society at large. For ensuring an optimal use of the public resources spent for maintaining such a
Hydrological Information Service, it is therefore very essential to have a proper balance between the
data needs of various users and mandate of various services supporting the hydrological information
system.
To ensure that the HIS output remains at all times ‘demand driven’ each state/agency has
constituted a Hydrological Data User Group (HDUG). These HDUGs must represent all potential
users within the State or intended to be covered by an agency.
To arrive at an HIS which complies with the objectives a thorough analysis of data user needs is
required along the following steps:
• Identification of mandates of Hydrological Service agencies
• Assessment of hydrological data users and their data needs, and
• Preparation of a Hydrological Information Needs document.
These elements will be dealt with in the subsequent sub-sections. Finally a Working Plan for the
Hydrological Data User Group is set up.
3.2 MANDATE OF HYDROLOGICAL SERVICE AGENCIES
The prime objective of any information system is to fulfil the needs of its users within the framework of
its mandate. Different agencies operating various hydrological and meteorological networks have
specified mandates for their hydrological information services. The first important issue is to review
these goals for each of such services operative in the region. The definitive statements on the scope
of each of the services would form the criteria for deciding which of the data needs of the users can
be satisfied by the HIS. Normally, the scope of an agency with respect to HIS is spelt out in very
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broad terms and it is possible to incorporate most of the demands of the data users. However, in
cases where the existing mandate of an agency is not covering certain requirements of the users and
the hydrological data users group also consider such requirements to be met by the HIS then the
same should be formally brought to the notice of the concerned agency. The agency must then
consider the matter for possible extension of its mandate with respect to HIS.
3.3 ASSESSMENT OF DATA REQUIREMENTS
The next step is to ascertain what is really required by the users. Often, this aspect is overlooked and
it is taken that the information being provided is the same, which is required by the potential users. It
is obvious that user needs change from time to time and the HIS would fulfil its commitment only if
there is a continual review or assessment of the changing needs of the users. The assessment starts
with an analysis of the objectives, functions of Water Resources Management (as related to planning
and design). It is possible to make a direct link between the objectives of water resource
management and use functions of the water system and the type of data that is needed from the
Hydrological Information System.
Objectives, functions and activities of Water Resource Management
Based on the National Water Policy and overlying strategic national/state plans a concise objective of
the water resources development in the country and in the states can be formulated. Such a specific
statement on the objectives if formulated is likely to contain the elements as mentioned in the box.
These objectives of water resource management and use functions of the water system are linked to
the type of data that is needed from the Hydrological Information System, which is outlined (as an
example) in Table 3.1.
However, from an analysis point of view Table 3.1 has only an illustrative value. It will be needed to
define the activities that are related to these objectives/use functions and the institutions involved.
Following gives a possible classification of such activities:
• WR Policy and Strategy Development
• River-basin planning and allocation
• Water Resources Assessment
• Conservation
• Water Demand Analysis
Objectives WRM:
• to protect human life and economic functions
against flooding
• to maintain ecologically sound water-systems
• to support use functions
Use functions:
• drinking and municipal water supply
• irrigation
• industrial water supply
• water quality assessment
• drought management
• fisheries
• hydropower production
• shipping
• discharge of effluents (incl. cooling water)
• recreation
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• Demand Management (efficient use)
• Pricing of water
• Legislation and Enforcement
• Water Resources Development and Distribution
• Monitoring
• Research
This classification should be adjusted to National/State situation by looking at the priorities (following
from the policies mentioned above) and the institutional setting. Furthermore it will be required to
define sub-activities.
Objective / function Data requirements from HIS (examples)
Drinking water supply
Municipal water supply
• resource assessment and design studies require data on
water quantity and quality, e.g. temporal distribution of
groundwater levels, river flows,.
Agriculture
- irrigation
- rain-fed agriculture
• assessment and design studies (reservoirs, intakes,
irrigation schemes, etc.) require data on water quantity
and quality data, including extreme rainfall and river flows
(spillways), historical river regime (reservoirs) and
sediment transport.
• for the operation planning of the system data on water
demands, rainfall, river stages and flows (quantity and
quality) are needed. Real-time data and forecasts are
however not provided by the HIS
•
Protection:
- flooding
- drainage
• design studies (e.g. embankments along rivers and
canals, culverts and bridges to bypass floods under
roads-railways) require data on temporal and spatial
distribution of extreme rainfall, on discharge extremes and
river stages;
• flood early warning systems require the same kind of
information
Ecological sound water systems:
- ecology
- forestry
- erosion
• assessment and habitat studies require data on the
natural river stage and flow dynamics, flow velocities,
variation of groundwater levels, water quality and of
anthropogenic effects;
• forestry/erosion require data on rainfall, evaporation,
variation of river stage/groundwater levels and on quality.
Fisheries • assessment and suitability studies require data on water
depth, flow velocities and water quality.
Hydropower production • the design and operation of micro, mini and macro-
hydropower systems, often in combination with water use
for irrigation and flood mitigating measures require data
on water quantity and quality data, including extreme
rainfall and river flows (spillways), historical river regime
(reservoirs) and sediment transport.
• for the operation of the system data on water demands,
rainfall, river stages and flows (quantity and quality) in
real-time and as forecasts are needed. Such data are
however not provided by the HIS
Shipping • Design and maintenance require information on water
depth, flow velocities, sedimentation (note: inland
shipping is of minor importance in India).
Industrial water supply • Availability studies (for process and cooling water) require
information comparable to drinking water supply.
Discharge of effluents • Licensing and monitoring require data on flows, various
water quality parameters.
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Recreation • Assessment studies and protection require on water
quality conditions, water levels and flow velocities.
Table 3.1: Data requirements from HIS
3.4 HYDROLOGICAL DATA USER GROUP
Defining the institutions involved in carrying out the activities as described in Section 3.3 is the next
step in the analysis. These institutions include first of all governmental organisations directly involved
in these activities (e.g. Gentral Ground Water Board, CGWB). Furthermore, also governmental
organisations that have no direct responsibility for WRM but are related to the objectives and use
functions of WRM (e.g. Roads and Railways department in relation to drainage, Thermal Power
Corporations in relation to using cooling water) are to be included. Moreover, the user groups should
also include NGO’s and private organisations, such as Water User Associations, industries, etc.
Finally, organisations that have supporting roles in this respect should be included, e.g. engineering
consultants and contractors. Table 3.2 is a first list of potential data users to be considered for
membership of the Hydrological Data User Groups (HDUG).
1. Governmental organisations:
− State Ground Water Department
− Central Ground Water Board
− Water Supply and Sewerage Board
− Geology and Mines Department
− Urban Water Supply and Drainage Board
− Agricultural Department
− Fisheries Department
− Forestry Department
− Ministry of Environment and Forest
− Public Health Department State Surface
Water Department
− Drought Monitoring Cell
− Central Water Commission
− Indian Meteorological Department
− Irrigation Departments
− State Pollution Control Board
− Hydropower Corporations
2. Non-governmental organisations:
− NGO’s involved with watershed management
− Agricultural assosciations
− Water Users Associations
− Farmers Development Agencies
− Environmental Protection Organisations
− Chambers of Commerce
− Tourist Organisations
− Thermal Power Corporations
− Industries and Commerce Department
− Ministry of Transport (for navigation)
− Development Authorities
− Roads Department
− Railways Department
− Tourist Board
− Universities
3. Private sector
− Engineering Consultants
− Contractors, etc.Industries: e.g. Paper Mills,
Fiber Industries, Cotton Mills,
−
Table 3.2: List of potential members of a Hydrological Data User Group
Combining the activities presented in Table 3.1 with the organisations listed in Table 3.2 will result in
Table 3.3. The table, once filled in, indicates which organisation is involved in which activity and in
which capacity (e.g. responsible, supporting, co-ordination, co-operation, using). In the table a clear
distinction has to be made between federal agencies and state agencies. Based on such tables the
data users and broadly the data needs of all involved, can be determined/compiled.
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Through a process of group meetings, individual interviews and review meetings, identification of the
users’ need is to be ascertained. The HDUG meeting itself is not a proper platform to identify in detail
the individual data needs. A more efficient procedure is a critical assessment through small interview
teams, who explore in bilateral talks the mandates and data needs of the potential data users. In the
interview teams both state surface and groundwater organisations are represented. To guide and stre-
amline the discussions a questionnaire has been prepared, to be filled in during visit to the data user,
addressing items like:
• description of data user (name, sector, mandate, provided services, staffing and financing).
• water system use (present and future) with respect to quantity and quality, and responsibility.
• data use and requirements (parameters, type, frequency of availability, in what form, accuracy,
consequences if not available, appreciation of present status of data supply.
The full questionnaire with the suggested approach to be followed by the interview team is presented
in the Part III of Volume 1, Field Manual, HIS, ‘Data needs assessment’.
A document on Hydrological Information Needs (HIN) should be brought out at the end of this
exercise after adequate consideration of the mandate of the hydrological services operative within a
State or agency and also the identified needs of the users. Reference is made to the Part IV of
Volume I, Field Manual, HIS showing a standard Table of Contents for the HIN. This exercise of
having a formal assessment is a continual process wherein the review is made periodically at a
specified interval of time (say every five years) and whenever there is an apparent or urgent need.
The ‘Terms of Reference’ (ToR) document in respect of constitution and functioning of the HDUGs
lays down a broad framework of operational guidelines, so that a consistent and uniform approach for
the management of HDUGs is adopted, across the states and central agencies where HIS is
operational. Reference is made to the Part II, Volume 1, Field Manual, HIS for a complete
presentation of the ToR for HDUG.
The ToR lists the overall purpose of setting up state and central level Hydrology Data Users Groups
(HDUGs) as:
• To provide a common platform for interaction between hydrology data users and data providers.
• To create awareness amongst users about HIS data and educate them on the potentials and
limitations of HIS.
• To understand, analyse and update information on the changing needs of data users from a
macro level perspective.
• To review and recommend additions/deletions in the data collection networks and related HIS, if
appropriate.
• HDUGs can also focus on technology changes that may warrant changes in monitoring and data
management.
The role of an HDUG is twofold:
• advisory role and
• demand - supply linkage role
The recommended size of an HDUG in each state or central agency is approximately 25 to 30
members, representing governmental agencies (15 to 20 members) and voluntary organisations and
private establishment (8 to 10 members). The specific criteria for selection of members from the three
categories are detailed out in the annex to the ToR.
The ToR further specifies regulations governing the HDUG including position, membership and
operational clauses and list out the scope activities in the advisory capacity and in the demand-supply
linking role.
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3.5 WORKING PLAN OF HDUGs
For each State there has to be one HDUG representing the Surface water and Groundwater related
departments and users. Similarly, at the National level, one HDUG representing CWC, CGWB and
users from potential sectors has been formed. The Convenor of the HDUGs at the States is the
overall incharge of the State Data Storage Centre of the rank of Chief Engineer. If the Groundwater
and Surface Water Data Storage Centres are separate in the State then the Incharges of these
become the convenors of HDUG by rotation. Similarly, at the National level also, the overall incharges
of the National Data Centres at CWC and CGWB, of the rank of Chief Engineer, act as Convenors of
HDUG by rotation. The term for rotation should be the same as frequency of review. The overall
responsibility of bringing out the HIN document and convey its recommendations to all the concerned
agencies lies with the Convenor of the Group.