Groundwater Quality Mapping and Modeling
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This document outlines a project to map groundwater quality and aquifers in Agra, India. The objectives are to: 1. Create groundwater quality maps showing spatial and temporal variation of quality parameters in shallow and deep aquifers, both before and after monsoon seasons. 2. Map the aquifer systems to understand their geometry, thickness, flow directions, and groundwater resources and yields on a micro-level watershed basis. 3. Develop a groundwater model to aid planning and management of resources at the village level. Field samples will be collected and analyzed, and quality data will be classified and interpolated to create separate element-wise quality maps for each aquifer and season in
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The document discusses groundwater data requirements, acquisition, processing, and analysis. It outlines the types of physical and hydrological data needed for groundwater studies, including maps, cross-sections, and time-series data on water levels, quality, pumping, and other factors. Key points covered include establishing monitoring networks, validating data, preparing hydrographs, water table maps, and other tools to characterize the groundwater system and identify issues like contamination or over-pumping. Statistical methods for interpolating hydrological variables from point data across regions are also summarized.
Intergrated Water Resourcses system
This document discusses integrated water resource management (IWRM) and quantitative methods for assessing groundwater resources using remote sensing and GIS. IWRM is defined as a systematic process for sustainably developing, allocating, and monitoring water resources considering social, economic and environmental objectives. Key aspects of IWRM planning include addressing water scarcity, degradation, policy frameworks, long-term planning, sector coordination, supply and demand assessments, and information systems. Quantitative groundwater assessment methods consider parameters like lithology, aquifer geometry, climate, and remote sensing can provide regional data to complement traditional point-based methods. Modeling involves formulating models, computations, applications and evaluation.
Topography and the Spatial Distribution of Groundwater Recharge and Evapotran...
Topography and the Spatial Distribution of Groundwater Recharge and Evapotran...Dirk Kassenaar M.Sc. P.Eng.
This document discusses the need to account for spatial heterogeneity in topography when modeling distributed groundwater recharge and evapotranspiration. A lumped model assumes homogeneity, while semi-distributed and fully distributed models can account for variability related to factors like topography. The authors argue that considering topographic effects is important when assessing impacts to ecological systems through integrated surface water and groundwater models like GSFLOW, which can predict flows and recharge/discharge at various scales from climate to subsurface processes. Accounting for spatial variability provides greater insight into processes like wetland hydrology and groundwater-surface water interactions.Potential Recharge Zones.pptx
Delineation of potential groundwater recharge zones plays a vital role in sustainable management of groundwater resources. The present study is carried out to identify the groundwater potential recharge zones in Multan, Pakistan by using Remote Sensing (RS) & Geographical Information System (GIS) for augmenting groundwater resources. In Multan district (Punjab, Pakistan), the increasing population and expansion of land use for agriculture have severely exploited the regional ground water resources. Land Use Land Cover (LULC) change is an accelerating phenomenon on the surface of earth driven by anthropogenic activities including urban expansion, deforestation, and climatic variations. Intensive pumping has resulted in a rapid decline in the level of water table as well as its quality. Better management practices and artificial recharge are needed for the development of sustainable groundwater resources. In order to address these issues Geographic information system (GIS) and Remote sensing (RS) are the most efficient methods for the identification and detection of Land Use patterns. All of these techniques are used for mapping and identification of groundwater potential analysis. This groundwater potential information will be useful for the effective identification of appropriate locations for extraction of water. This study should be done to delineate groundwater potential recharge zones by using different thematic layers that were overlaid in ArcGIS. In the overlay analysis, the weights (for various thematic layers) are allocated based on a review of published literature or by expert opinion. The assigned weights are then normalized and modified using the analytical hierarchical process (AHP). The potential recharge map thus obtained and divided into four zones (poor, moderate, good, and very good) based on their influence to groundwater recharge.
Scale-dependency and Sensitivity of Hydrological Estimations to Land Use and ...
Scale-dependency and Sensitivity of Hydrological Estimations to Land Use and Topography for a Coastal Watershed in Mississippi - Vladimir J. Alarcon and Charles G. O’Hara
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17
This document discusses the use of satellite remote sensing for hydrology and water management applications. It provides examples of how satellite data can be used to monitor surface water bodies, snow cover, soil moisture, precipitation and other variables. It also describes how satellite data has been used to assess irrigation potential, monitor irrigation tanks and reservoirs, model hydrology and forecast flooding. The satellite data provides valuable information to support water resources management.
Watershed management: Role of Geospatial Technology
Watershed management is the study of the relevant characteristics of a watershed which is done to enhance watershed functions that affect the plant, animal and human or other living communities within the watershed boundary.
This PPT dscribes the Role of Geospatial Technology in Watershed Management
Ragain Sess1 102209
LiDAR technology was used to survey over 90,000 acres of the Lower Klamath and Tule Lake National Wildlife Refuges to support water resource management. The high-accuracy LiDAR data provided detailed digital elevation models, contours, and orthophotos that documented current infrastructure and habitat conditions. This data allows water management alternatives to be thoroughly analyzed by facilitating calculations of areas, volumes, water storage capacities, and potential water reuse capabilities. The comprehensive survey results provide wildlife managers with long-term tools to identify and implement improvements that optimize the efficient use and storage of available water resources.
Morphological Unit (1) (1)
This document discusses a study that uses 2D hydrodynamic modeling and topographic data to delineate morphological units (MUs) within river corridors. MUs are distinct landforms controlled by ecohydraulic variables that can be identified at lengths around 1-10 times the river width. The study presents a method to delineate MUs by combining hydraulic modeling data with digital elevation models and LiDAR data. Delineating MUs in this way allows researchers to better describe the underlying landforms and habitats within a river system. The document provides examples of applying this MU delineation procedure to different river types and concludes by discussing potential correlations between MUs, river discharge, and spatial variability.
Ay2641114118
This document analyzes a study that used GIS and logical overlay functions to determine the optimal sites for artificial groundwater recharge via flood distribution in the Sarpaniran plain in Iran. The study analyzed slope, surface infiltration, geomorphology (alluvium thickness), geology, and land use layers to identify suitable regions. The results found that 2.3% of the total area, or 1,088 hectares, were suitable for flood distribution. The limiting factor was found to be the geological formations. GIS was determined to be an effective tool for managing site data and evaluating criteria for artificial groundwater recharge site selection.
Determination of Optimum Site for Artificial Recharge Aided Geographical Info...
This document summarizes a study that used GIS and logical overlay functions to determine optimal sites for artificial groundwater recharge via flood distribution in the Sarpaniran plain in Iran. The researchers analyzed layers of slope, infiltration rate, geology, geomorphology, and land use to identify suitable regions. They found that 2.3% of the total area, or approximately 1,087 hectares, is suitable for flood distribution recharge. The study demonstrates that GIS is an effective tool for managing spatial data and evaluating criteria to select artificial recharge sites, given the many relevant factors and their variability over time.
C2VSim Workshop 1 - Introduction
The California Central Valley Groundwater-Surface Water Simulation Model (C2VSim) simulates the monthly response of the Central Valley’s groundwater and surface water flow system to historical stresses, and can also be used to simulate the response to projected future stresses. C2VSim contains monthly historical stream inflows, surface water diversions, precipitation, land use and crop acreages from October 1921 through September 2009. The model dynamically calculates crop water demands, allocates contributions from precipitation, soil moisture and surface water diversions, and calculates the groundwater pumpage required to meet the remaining demand.
Quantitative Morphometric analysis of a Semi Urban Watershed, Trans Yamuna, ...
This document summarizes a study that analyzed the morphometric characteristics of a semi-urban watershed in Allahabad, India using Cartosat DEM data and GIS. Key findings include:
1) The total stream length was found to be 430.39 km representing a dense drainage network, with lengths of 266.38, 88.15, 39.17, 17.17, 10.62, 4.0, 4.7, and 0.2 km for stream orders I through VIII, respectively.
2) Over ten morphometric parameters were analyzed to characterize the linear, areal, and relief aspects of the watershed.
3) GIS tools were used to extract the drainage network
WATERSHED ANALYSIS .pptx
The document summarizes a presentation on geoinformatics in hydrology and water resources. It discusses watershed analysis using GRASS GIS, including delineating watershed boundaries and factors that influence the analysis. It also covers groundwater modeling in GRASS, including defining initial conditions, parameters for modeling flow and solute transport, and a case study applying the techniques. Remote sensing and field data can be used to generate accurate modeling inputs. The presentation provides an overview of conducting watershed and groundwater analyses using open-source GIS tools in GRASS.
Online Watershed Analysis Tool
Features:
View watershed boundary and drainage network, and contour map layers
Find area of a selected watershed
View ground profile along and across the stream path
View existing water conservation structures along with photo
Manage watershed structures
Add Water Conservation Structure
Change Status of Structure (Proposed, Under Progress, Completed)
Technology
Google Maps API
Google Elevation API
Google Fusion Tables (for polyline and polygon data)
ASP.NET, SQL Server 2008 (for point data)
2016 conservation track: automated river classification using gis delineated ...
The document describes an automated GIS tool called RESonate that is used to classify river systems into functional process zones (FPZs) based on hydrogeomorphic characteristics. The tool extracts over a dozen variables like elevation, slope, and width from geospatial datasets. It then uses these variables to generate sample points and calculate additional metrics. Statistical analysis is applied to cluster sample segments into distinct FPZ classes. The tool was tested on the Carson River where it identified 5 FPZ classes. The goal of the tool is to provide a consistent classification method that can enhance compatibility between river analyses and improve communication among scientists.
MORPHOMETRIC ANALYSIS OF SUKE SUB-WATERSHED OF TAWA RESERVOIR CATCHMENT AREA ...
MORPHOMETRIC ANALYSIS OF SUKE SUB-WATERSHED OF TAWA RESERVOIR CATCHMENT AREA ...Journal For Research
The study area covers 732.95 Km2 in suke sub-watershed of Tawa reservoir catchment area of Hoshangabad, Bhopal (M.P.). the drainage network of suke sub watershed and measurement of Linear, Aereal and Relief aspects of basin by digitized using remote sensing and GIS techniques. The drainage network shows that the terrain exhibits dendritic drainage pattern. Stream order ranges from one to sixth order. The drainage density in the area 2.06km/km.2 belong to moderate category.Stream frequency in the area 2.82 and texture ratio 4.08 is range to belong moderate condition. The form factor indicate the sub watershed are less elongated in shape. The high value of circulatory ration the sub watershed is characterize by high to moderate relief and drainage system structurally controlled but the study area Rc is less than .50 indicating they are less elongated in shape.
Water and Productivity Impacts for the NBDC
Presented by Charlotte MacAlister, Birhanu Zemadim , Teklu Erkossa , Amare Haileslassie, Dan Fuka, Tammo Steenhuis, Solomon Seyoum, Holger Hoff, Kinde Getnet, and Nancy Johnson to the Nile Basin Development Challenge Science and Reflection Workshop, Addis Ababa, 4-6 May 2011
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Birr - Identifying Critical Portions of the Landscape
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MORPHOMETRIC ANALYSIS OF SUKE SUB-WATERSHED OF TAWA RESERVOIR CATCHMENT AREA ...
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Groundwater Quality Mapping and Modeling
- 2. Ground Water Quality Mapping Using Different Interpolation Techniques Ground Water Quality Prospect Mapping( Geogenic &Anthropogenic) Aquifer Mapping ,Correlating RGNDWM Data with Geo-Physical Data To Develop Ground Water Pollutants Mathematical Model Model Simulation and Development for Management Plan for Ground Water Resource Management Objectives
- 3. Spatial Variation-Varies in x-y direction –representative samples of Study Area Vertical Variation- Varies by depth – representative samples from Shallow & Deep aquifers Temporal Variation -Varies by time -representative samples from Pre & Post monsoon Shallow aquifer - Pre monsoon Shallow aquifer - Post monsoon Deep aquifer - Pre monsoon Deep aquifer - Post monsoon Ground water quality Data considered from Part-1
- 4. Elements measured using field kits -Mandatory Elements from legacy input data – as many as available out of the list
- 5. Ground water sample layer Ground water quality map Legacy data classification Fresh data generation using kits Input data processing & organization in to GIS database Collection of Lat-Long data Interpretation Selection of suitable method Element-wise ground water quality layers Creation of element-wise ground water quality layers Classification as per BIS Interpolation Integration of element- wise layers Ground water classes validation Dissolving duplicate polygons Overlay analysis
- 7. Final Ground Water Quality Map Element wise Shallow Aquifer Deep Aquifer
- 8. Aquifer Mapping of Palmakul Watershed ( A ) (B ) (C ) (D ) (A )
- 9. To decipher the •Spatial & Vertical disposition of Aquifers/Aquifer Geometry •Generation of 2-d & 3-d GIS layers/Micro level Aquifer Maps •Ground water Resources & Yield Characteristics of the Aquifers •To Run a Ground water Model for planning & management of ground water Resources-watershed wise, Village wise. Objectives
- 11. Contours Showing Subsurface Disposition of Aqu
- 12. First Layer Second Layer Third Layer Contours Showing Heads Disposition Flow Direction of Aq
- 14. Subsurface Aquifer Geometry First Aquifer Second Aquifer Third Aquifer First Aquifer Second Aquifer Third Aquifer
- 15. Subsurface Aquifer Geometry Subsurface Aquifer Geometry Cross Section In X-Direction (Front View) Subsurface Aquifer Geometry Cross Section In Y-Direction (Lateral View)
- 16. Preparation of Micro Level Aquifer Maps (A1 ) (A2 ) (B1 ) (B2 ) (C1 ) (C2 ) (D1 ) (D2 ) (A) (B) (C) (D)
- 17. Preparation of Micro Level Aquifer Map with Flow Direction