Working as a Project Control Manager/Senior Planning Engineer of Multi-Discipline Projects, Planning, Scheduling, Resource Monitoring and Control, working with effective and prolifically implementation of EVM (Earned Value Management System) EVM (Earned Value Management System) and EAC (Estimate at Completion) for assigned projects.
Complete identification & analysis of Risk Management. Cover overall companyâs business risks, ongoing prospect and individual change order requests while identifying various threats and opportunity factors. This strategy includes calculating the probable consequence, probability and manageability values to measure the pre-mitigation and post mitigation values having certain improvement factors. Risk registers to be updated on bi-monthly basis and discussed quarterly to maintain a follow-up for the action logs with individual assigned risk owners
Experienced in managing projects from conception to completion using latest IT tools like,P6 Ver7.0, AutoCAD and other Project Management Systems.
The report is the summary of output by the northern luzon project inspectorate and advisory group (PIAG) in monitoring the irrigation projects of the National Irrigation Administration.
Working as a Project Control Manager/Senior Planning Engineer of Multi-Discipline Projects, Planning, Scheduling, Resource Monitoring and Control, working with effective and prolifically implementation of EVM (Earned Value Management System) EVM (Earned Value Management System) and EAC (Estimate at Completion) for assigned projects.
Complete identification & analysis of Risk Management. Cover overall companyâs business risks, ongoing prospect and individual change order requests while identifying various threats and opportunity factors. This strategy includes calculating the probable consequence, probability and manageability values to measure the pre-mitigation and post mitigation values having certain improvement factors. Risk registers to be updated on bi-monthly basis and discussed quarterly to maintain a follow-up for the action logs with individual assigned risk owners
Experienced in managing projects from conception to completion using latest IT tools like,P6 Ver7.0, AutoCAD and other Project Management Systems.
The report is the summary of output by the northern luzon project inspectorate and advisory group (PIAG) in monitoring the irrigation projects of the National Irrigation Administration.
Overview of key industry challenges and ABBâs vision & best-practice approaches for:
- Evaluating reserves and mine schedules
- Tracking and optimizing mined product
- Optimizing work of equipment and people
18. NECS 2016 _ Energy- Way forward for oil and gas exploration in tripura-Mr...FICCINorthEast
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Presentation made at 3rd Northeast Connectivity Summit,2016 on Way forward for oil and gas exploration in Tripura by Mr. S. C.Soni, Asset Manager, ONGC Tripura Asset
Presentation delivered by Frank Farshidi, Ph.D., P.E., City of San Jose, at the CalAPA Fall Asphalt Pavement Conference Oct. 24-25, 2018 in Sacramento, Calif.
Overview of key industry challenges and ABBâs vision & best-practice approaches for:
- Evaluating reserves and mine schedules
- Tracking and optimizing mined product
- Optimizing work of equipment and people
18. NECS 2016 _ Energy- Way forward for oil and gas exploration in tripura-Mr...FICCINorthEast
Â
Presentation made at 3rd Northeast Connectivity Summit,2016 on Way forward for oil and gas exploration in Tripura by Mr. S. C.Soni, Asset Manager, ONGC Tripura Asset
Presentation delivered by Frank Farshidi, Ph.D., P.E., City of San Jose, at the CalAPA Fall Asphalt Pavement Conference Oct. 24-25, 2018 in Sacramento, Calif.
Dev Dives: Train smarter, not harder â active learning and UiPath LLMs for do...UiPathCommunity
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đĽ Speed, accuracy, and scaling â discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Miningâ˘:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing â with little to no training required
Get an exclusive demo of the new family of UiPath LLMs â GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
đ¨âđŤ Andras Palfi, Senior Product Manager, UiPath
đŠâđŤ Lenka Dulovicova, Product Program Manager, UiPath
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
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Are you looking to streamline your workflows and boost your projectsâ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, youâre in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part âEssentials of Automationâ series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Hereâs what youâll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
Weâll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Donât miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
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Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. Whatâs changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
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Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overviewâ
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
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My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
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After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more âmechanicalâ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as âpredictable inferenceâ.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
2. ď§ The proposed project is a follow on of Hydrology
Project, Phase âI. During HP-I , an integrated
Hydrological Information System providing reliable,
comprehensive and timely hydrological and
meteorological data are established.
ď§ This consists of 24 river Gauge Stations and 52
-meteorological stations in 3 river basins namely Mahi,
Tapti, andWainganga.
ď§ 3750 Observation wells 625 Piezometer wells in Madhya
Pradesh for collecting data on qualitative and
quantitative aspects of both surface and ground water.
ď§ State level Data Centre has been established at Bhopal
3. Project Period & Cost (SW+GW)Project Period & Cost (SW+GW)
⢠HYDROLOGY PROJECT -II
5/04/2006 to 31/5/2014
⢠Surface Water Component Rs. 9.98 Crores
⢠Ground Water Component Rs. 14.69 Crores
⢠(With Contingencies)
⢠TOTAL COST Rs. 24.67 Crores
⢠Surface Water Component Rs. 8.20 Crores
⢠Ground Water Component Rs. 12.04 Crores
⢠(Without Contingencies)
⢠TOTAL COST Rs. 20.24 Crores
4. HYDROLOGY-HYDROLOGY- PROJECT II SW+GW COST & EXPENDITUREPROJECT II SW+GW COST & EXPENDITURE
SW
Amount in lac
GW
Amount in lacs
TOTAL (SW+GW)
Amount in lacs
Project Initial Cost
820.0 1204.0 2024.0
Project Cost MTR I
2009 1503.26 1203.68 2706.94
Project revised cost
( 2013) 1137.08 432.49 1569.57
Total Expenditure
up to 3/14 730.33 332.89 1063.22
Expenditure up to
4/14 in FY 2014-15 38.37 0.0 38.37
Total expenditure
up to 4/14 768.70 332.89 1101.59
5. CATEGORY WISE COST & EXPENDITURE (SWCATEGORY WISE COST & EXPENDITURE (SW))
sl
no.
category As per
PIP
As per
MTR I
2009
As per
2012
(Revised)
As per
2013
(Revised)
Expenditu
re up to
4/2014
Balance
1 CIVIL WORK 95.03 259.95 340.45 393.81 297.41
96.4
2 GOODS 270.38 734.49 481.51 523.79 280.22
253.57
3 CONSULTENCY 64.92 76.93 27.52 19.11 0.35
18.76
4 TRAINING 122.41 141.41 54.19 39.65 25.70
13.95
5 RECURRENT 268.16 290.47 154.01 160.72 165.01
-4.29
TOTAL 820.90 1503.25 1057.68 1137.08 768.70
368.39
6. ITEM As per PIP As per
MTR 2009
As Per 2012
Revised
As Per 2013
Revised
Tot. Exp.
Up-to-April
13
Balance
INVESTMENT
COST GW-MP
Component-I
(Institutional
Strengthening)
279 332 162
149.10 118.30 0
Component-
II( Vertical
Extension)
547 512 180
179.90 137.55 58.50
Total Investment
Cost:
826 844 342
329 255.85 58.50
RECURRENT
COST GW-MP
Component-I
(Institutional
Strengthening)
202
166 046
46.43 41.80 1.50
Component-II
(Vertical
Extension)
176 190 057
57.06 35.25 0
Total Recurrent
Cost:
378 360 103
103.49 77.05 1.50
TOTAL â GW
1204
1203 445
432.49 332.90 60.0
8. Reimbursement claims Details (SW+GW)Reimbursement claims Details (SW+GW)
year Claim Submitted Amount in
Lakhs (INR)
Claim Received Amount in
Lakhs (INR)
2007-08
4.71 4.71
2008-09
3.37 3.37
2009-10
52.91 52.80
2010-11 307.85 301.46
2011-12 254.26 249.27
2012-13 206.08 206.07
2013-14 110.83 79.95
Total 940.04 897.61
9. HYDROLOGY PROJECT II MADHYAHYDROLOGY PROJECT II MADHYA
PRADSHPRADSH
⢠Status of Reimbursement Claims as on 1/5/2014 in
Rs. Lakhs
Compon
ent
Project
revised
cost
may
2013
Total
expendit
ure up to
3/13
total
Claims
submitt
ed up to
3/2013
total
Claims
Receive
d up to
3/2013
Expendit
ure in FY
13-14
Reimbur
sement
claim
submitt
ed up to
3/14 in
2013-14
total
Claims
Received
up to
3/14 in
FY 2013-
14
total
R/Claims
Submitted
up to 4/2014
total
R/Claims
Received up
to 4/2013
SW 1137.08 630.51 554.06 551.03 99.83 84.77 74.14 638.84 625.16
GW 432.32 306.01 275.14 266.63 26.80 26.06 5.81 301.20
272.44
Total 1569.40 936.52 829.20 817.66 126.63 110.83 79.94 940.04 897.61
10. Planning of remaining period (SW)Planning of remaining period (SW)
Sl
no.
Project cost as
per cost table
2013 in lacs
Expenditure
up to 4/2014
in lacs
Likely
expenditure to
be incurred
during May 1,
2014 to May
31, 2014 (Rs.
in lakhs)
Likely
expenditure to
be incurred
during Jun 1,
2014 to Aug
31, 2014 for
the work
completed up
to 31/5/2014
(Rs. in lakhs)
Total Likely
expenditure
in MP (SW)
Expenditu
re to be
incurred
beyond
HP-II in
Lacs
1 1137.08 768.70 83.30 148.00 1000.00 43.72
11. Planning of remaining period (GW)Planning of remaining period (GW)
Sl
no.
Project cost as
per cost table
2013 in lacs
Expenditure
up to 4/2014
in lacs
Likely
expenditure to
be incurred
during May 1,
2014 to May
31, 2014 (Rs.
in lakhs)
Likely
expenditure to
be incurred
during Jun 1,
2014 to Aug
31, 2014 for
the work
completed up
to 31/5/2014
(Rs. in lakhs)
Total Likely
expenditure
in MP (SW)
Expenditu
re to be
incurred
beyond
HP-II in
Lacs
1 432.49 332.89 50.00 10.00 392.89 NIL
12. Works for which tender to be floatedWorks for which tender to be floated
(SW+GW)(SW+GW)Sr.No Descripation of
Works/Goods/Consultancy
Estimated
Cost (Rs
inLakhs)
Tentative data of bid
floating
Likely expenditure
on the contract upto
May 31,2014 (Rs in
Lakhs)
1
NIL
13. LIST OF ON GOING WORKS (SW)LIST OF ON GOING WORKS (SW)
Sl. No. Name of work. Name of
Agency
Agreement
No.
Agreement-
ed c ost in
Lacs
Expenditure
up to
4/2014in
Lacs
Balance
Payment to be
made in Lacs
Remark
1 2 3 4 5 6 8
1 Procurement of
Goods and Related
Services for Supply,
installation Testing
and commissioning
with 5 years
operation and
maintenance of Real
Time Data
Acquisition Systems
(RTDAS) in
Wainganga basin in
Madhya Pradesh.
M/s.
Mechatronics
Systems Pvt.
Ltd. Pune
1/ICB/HP-
II/SW(m.P.)
2013-14
300.82 55.00 245.82 On going
14. LIST OF ONGOING WORKS(GW)LIST OF ONGOING WORKS(GW)
Sl. No. Name of work. Name of
Agency
Agreement
No.
Agreement-
ed c ost in
Lacs
Expenditure
up to
4/2014in
Lacs
Balance
Payment to be
made in Lacs
Remark
1 2 3 4 5 6 8
1
2.
Procurement of
Multi channel
resistivity meter 1
no.
procurement of
vehicle
M/s. Pinnecle
Geosystem
New Delhi
DGS&D rate
contract
48.48
10.00
0.0
0.0
48.48
10.00
ongoing
On going
Total in Rs. Lakhs 58.48 58.48
15. MAJOR ACHIEVEMENTS IN MP(SW)MAJOR ACHIEVEMENTS IN MP(SW)
⢠Upgradation of data centre of Bhopal division,
Hoshangabad division & Balaghat sub division, Khandwa
sub division, State Water Data Centre.
⢠Upgradation of 24 Rain gauge stations, 2 G& D sites to
real time in Wain Ganga Basin.
⢠Upgradation of IT Hardware & soft ware
⢠Up gradation of 9 FCS manual, Upgradation of 20 no.
for AGR well(DWLR) of Wainganga ,Mahi & Tapti basin,
Upgradation of 20 G&D Sites (20 no. digital current
meter ) Upgradation of khairy, chhindlai & chandan D&D
sites
16. MAJOR ACHIEVEMENTS IN MP(SW)MAJOR ACHIEVEMENTS IN MP(SW)
⢠Upgradation of AGR Well on 14 no G&D sites,,
construction of RCC gauge post on 23 G&D sites,
Upgradation of Chokidar hutments on 18 G&D sites,,
over hauling work of 6 BOCW.
⢠Procurement of IT Hardware & soft ware
⢠Procurement of office equipments.
⢠4 New G&D sites established in wainganga basin of
Madhya Pradesh.
⢠Application of DSS such as Seasonal planning of Sanjay
Sarovar reservoir, Impacts of changes in cropping
pattern, particularly in dry years for the reservoir,
Seasonal Ground water planning for Dhuty right bank
canal has been completed
17. MAJOR ACHIEVEMENTS IN MP(SW)MAJOR ACHIEVEMENTS IN MP(SW)
⢠MP WRD and NIH Bhopal centre has taken up jointly
Shipra basin for development of new DSS (P). The work
is under progress.
⢠Sedimentation survey of Tawa Reservoir undertaken by
bathometric boat in March 2014 jointly by CWPRS &
WRD under PDS. Report is awaited from CWPRS.
⢠The DSS planning software has been installed on
servers and workstations and useful applications
developed are being used. All necessary IT
infrastructures has been procured and installed.
⢠HIS data are being disseminated to Govt. & private
organizations as per demand.
18. ⢠Replacement of 51 No Defunct Peizometers and 29 no new
Peizometers under DSS Wainganga Basin and 20 no Peizometer
under PDS Dhasan basin Sagar and PDS Shahpura lake basin
⢠Replacement of 7 sets of non functional WQ Lab equipments
⢠Upgradation of 4 no Div. data center and 1 no Ground Water Circle
level Training cell.
⢠30 no In well Boring under PDS and 15 no Hydro fracturing work
under PDS Dhasan basin Sagar
⢠Procurement of 8 no single channel resistivity meter
⢠Procurement of 1 Multi channel resistivity meter including Vehicle
⢠3 purpose driven study
MAJOR ACHIEVEMENTS IN MP (GW)MAJOR ACHIEVEMENTS IN MP (GW)
19. Lessons LearntLessons Learnt
⢠Awareness of the New Technology & Knowledge of
Hydrology amongst the officers of the department is
needed.
⢠Knowledge of procurement procedures of World Bank
aided project is must for all officers working in Hydrology
project.
⢠Procurement of major items should be started in the
beginning of the project.
20. Post project plan for continuation of HP-Post project plan for continuation of HP-
2 activities:2 activities:
⢠Application of DSS (P) activities in other basins of Madhya Pradesh.
⢠Sedimentation survey in other reservoir.
⢠As the HP phase âII is ending in May 2014 for which most of the
staff was redeployed from the departmental resources. This staff
shall be continued further for the proper sustainability of the project.
⢠A training plan for the incremental staff is necessary so that the new
staff could also be made well conversant with the available hard
wares/ softwares as well as with the new techniques. About 10 to
20% staff who are expected to retired can be replaced through
redeployment. Training of these new staff to the extent of 20% is
designed accordingly
21.
22. DEVELOPMENT OF DSS(PLANNING) FOR WAINGANGA BASINDEVELOPMENT OF DSS(PLANNING) FOR WAINGANGA BASIN
Wainganga
Basin 25480 Sq
km
23. WORK DONE UNDER DSS(P)WORK DONE UNDER DSS(P)
ďś Data collection : daily rainfall, runoff, meteorological data, agricultural
information, demographic data, reservoir data, groundwater data, etc
ďś Need Assessment for DSS(P) in Madhya Pradesh
ďś Development of MIKE BASIN Model of Wainganga Basin
ďś Application of MIKE 11 NAM rainfall runoff model
ďś Model customization
ďś Development of scenarios in DSS(P) software
24. OUTCOME OF DSS IN MADHYA PRADESHOUTCOME OF DSS IN MADHYA PRADESH
S.N
.
Activity Status Remarks
1. Assessment of Surface and
Ground Water Availability
in Wainganga Basin
Completed
2. Surface Water Seasonal
Planning.
Completed.
3. Seasonal Planning for
Reservoir and crop
selection.
Completed
4. Seasonal Ground Water
Planning
Completed
5 Performance evaluation of
Rajiv Sagar Project
Completed
6. Development of DSS IT
Infrastructure and DSS
online connectivity.
Completed
25. SEASONAL PLANNING OF SANJAY SAROWAR PROJECTSEASONAL PLANNING OF SANJAY SAROWAR PROJECT
Scenario DevelopedScenario Developed
Main inputs to the Seasonal Planning application :
ďCrops grown and its area
ďWater user demands
ďInitial reservoir Level
Results of Seasonal planning application:
ďVariation in reservoir water level and storage at various probabilities
ďWater demand-supply and surplus-deficit scenario
ďPlanning for crop selection
ďOptimal utilization of available water
26. WATER AVAILABILITY ASSESMENTWATER AVAILABILITY ASSESMENT
⢠Wainganga basin was
divided into 22 sub-
catchments.
⢠Average daily surface runoff
and average daily
groundwater recharge time
series generated for each
sub catchment
⢠Runoff Estimated in Different
Sub Catchments of
Wainganga Basin is given in
table
Scenario DevelopedScenario Developed
27. IMPACT OF REHABILITATING THE PROJECT INFRASTRUCTUREIMPACT OF REHABILITATING THE PROJECT INFRASTRUCTURE
HHigh level of water loss in irrigation systems of Sanjay sarowar and Dhuty command (30 %igh level of water loss in irrigation systems of Sanjay sarowar and Dhuty command (30 %
) from the source.) from the source.
The model has been applied to assess the impact of reducing the losses from 30% to 15%.The model has been applied to assess the impact of reducing the losses from 30% to 15%.
Scenario DevelopedScenario Developed
Benefits
â˘Increased efficiency of the irrigation projects, Additional water availability for irrigation
â˘Reduction in demand deficit Increased reliability of the system
28. RESERVOIR OPERATIONRESERVOIR OPERATION
ďś An analysis has been carried out for the Sanjay Sarowar dam for
improved flood control based on the forecast of the inflow to the
reservoir.
ďś This would enable pre-release from the dam and thereby an
increase in the available flood cushion before inflow starts
increasing.
ďś This analysis formed the base for establishment of RTDAS in the
Wainganga basin.
29. Real Time Data Acquisition System in Wainganga BasinReal Time Data Acquisition System in Wainganga Basin
Under Hydrology Project Phase II
Madhya Pradesh Water Resources
Department is establishing Real Time
Data Acquisition System(RTDAS) in
Wainganga Basin for real time flood
forecasting to support reservoir
operations and water management.
30. Details of Telemetry stations under RTDASDetails of Telemetry stations under RTDAS
S.No. DescriptionofItems Quantity Remarks
1 AutomatedRain-GaugeStations(ARG)withGSM/GPRSbasedtelemetryandpower 28
2 AutomatedWeatherStationswithGSM/GPRSbasedtelemetryandpower 3
3 AutomatedRiver&ReseriorwaterlevelsensorradarType 14
4 Automated,Spillway,Irrigation&PoweroutletGateSensor 13
5 Web-basedDataCollectionprocessinganddisseminationsystem 1
31. Performance Evaluation ofPerformance Evaluation of
Rajiv Sagar Project (Bawanthadi)Rajiv Sagar Project (Bawanthadi)
⢠The performance of the Interstate Rajiv Sagar Major Project (under
construction) has been tested in the MIKE BASIN model using the
available catchment runoff series from 1976 to 2006.
⢠The analysis indicated that sufficient water will be available in the
reservoir to meet the full demands in approximately 90% of the
years.
Scenario DevelopedScenario Developed
32. Issues Regarding DSSIssues Regarding DSS
⢠Change of Basic modeling software (Mike basin to Mike Hydro)
⢠Frequent change of DSS(P) version which is not comfortable.
⢠DSS software for decision making and result projection requires the
knowledge of scripting programming which we are unable to perform.
⢠Complexity in Scenario development option in DSS.
⢠Need of regular refresher courses .
35. Major FindingsMajor Findings
⢠The medium separating the lake water and ground water aquifer is contact of DeccanThe medium separating the lake water and ground water aquifer is contact of Deccan
Trap Basalt and Vindhyan Sand stone. Cracks and fractures of Basalt may be theTrap Basalt and Vindhyan Sand stone. Cracks and fractures of Basalt may be the
possible reason for intrusion of lake water contaminants in to ground water.possible reason for intrusion of lake water contaminants in to ground water.
⢠Propagation of pollution in ground water aquifers in the fringe area is governedPropagation of pollution in ground water aquifers in the fringe area is governed
by the Hydraulic gradient of aquifer & used by at least 60 thousand populationsby the Hydraulic gradient of aquifer & used by at least 60 thousand populations
..
Surface Water:Surface Water:
⢠Lake is reported having very rich nutrients value such as nitrate andLake is reported having very rich nutrients value such as nitrate and phosphatephosphate alongalong
withwith ammonical nitrogen toxicityammonical nitrogen toxicity and rich organic matter (COD) content in north-and rich organic matter (COD) content in north-
eastern and north-western upstream and south-western downstream side.eastern and north-western upstream and south-western downstream side.
⢠To an average value of 27.74 mg/l,To an average value of 27.74 mg/l, 4.06 mg/l4.06 mg/l,, 5.2 mg/l5.2 mg/l and 67.86 mg/l respectively.and 67.86 mg/l respectively.
⢠Shahpura lake water shows the percentage of DO ranged between 0% (at confluence)Shahpura lake water shows the percentage of DO ranged between 0% (at confluence)
to 98.9% (southern part) in surface layer and nil DO in the bottom layer (possibly dueto 98.9% (southern part) in surface layer and nil DO in the bottom layer (possibly due
to higher microbial activity).to higher microbial activity).
⢠Lake is hyper-eutrophic due to high nutrients load in sediment which enhanced theLake is hyper-eutrophic due to high nutrients load in sediment which enhanced the
production of algal biomass.production of algal biomass.
MPLÂ -WHO
PO4Â -Â Â <1.0Â
NH3-NÂ -Â <0.3Â
NO3 â <45Â
CODÂ -Â <10
36. Major FindingsMajor Findings
Ground water:
⢠The overall well water at both downstream southern side (Chunna Bhatti residential
area) and south western side (Amrapali enclave) and upstream north-eastern side
(Near Academy building) of the lake are found contaminated.
At upstream (north-east and north-west side of lake):
⢠Average value of nutrients such as nitrate & phosphate along with the organic
matter reported as 29.30 mg/l, 0.23 mg/l, and 18.56 mg/l respectively.
⢠Peizometric well situated within the 100 meter of lake also reported presence of
ammonical nitrogen toxicity above its permissible limit of <0.3 mg/l, with a maximum
value of 2.25 mg/l and an average of 0.63mg/l NH3-N.
At  downstream (south and south-western side of lake):Â
⢠Nitrate, Phosphate and Organic matter values reported to the maximum of 109.2
mg/l, 1.0 mg/l and 64 mg/l and an average of 26.99 mg/l, 0.26 mg/l and 14.95 mg/l
respectively.
⢠Increased level of organic matter in ground water aquifer establishes intrusion of
sewage water.
⢠Whereas domestic wells located at downstream to waste-wear with massive basaltic
sand stone formation reported low contamination level.
MPLÂ -WHO
PO4Â -Â Â <1.0Â
NH3-NÂ -Â <0.3Â
NO3 â <45Â
CODÂ -Â <10
37. Major FindingsMajor Findings
Fish Productivity:
⢠Due to high contamination level , Indian major carps (Catla, Rohita) and
other economically benefitted fish productivity are low. Whereas Tilapia
mossambica is flourishing well because it grows well in the sewage polluted
water.
38. RecommendationsRecommendations
⢠With respect to lakes, all three attributes of the lake i.e. the basin, the water
body and the command area need to be conserved instead of the present
focus on the water body only.
⢠Assessment and monitoring of water quality is very important.
⢠Effluents/waste water treatment plants, low cost sanitation, should be set
up.
⢠Adequate policies, legislations and programmes should be formulated and
effective institutions should be put in place for pollution prevention,
treatment and restoration of polluted water in lakes and ground water.
1. Policy support
2. Platform for presenting output.
3. Freedom to express views regarding any project report.
39.
40. AchievementsAchievements
⢠IN DSS platform, we have a water balance modeling primary tool to
assist water allocation decision to different sectors as per the priority.
⢠The DSS is being used in our state particularly the GIS and time
series analysis component for the feasibility and hydrological analysis
in minor irrigation project planning .
41. ďś WRD has selected Shipra river basin for
development of DSS(P) in collaboration of NIH,
Regional Centre, Bhopal
ďś To assess sub basin wise water availability
ďś Seasonal and ground water planning for optimal
utilization of water
ďś Study of changing scenario of demand supply in
shipra basin in view of Narmada-Shipra link.
ďś Development of GIS layers and Data collection
is under progress
ďś Area of shipra basin 5750 sq km
ďś Tributary of Chambal river
Future PlanFuture Plan
42. Plan for Information DisseminationPlan for Information Dissemination
ďś A DSS workshop for the departmental officers was
organized in the State data centre for knowledge sharing
and need assessment.
ďś More workshops and trainings are proposed to be
organized for the departmental staff for disseminating
DSS outcomes to end users.
ďś The DSS reports and findings are being distributed
among field organizations.
43. Important lessons learnt from DSSImportant lessons learnt from DSS
⢠Application of hydrological modeling techniques are important in
planning of surface and ground water resources management in
Madhya Pradesh state.
⢠The hydrological modeling tools like MIKE 11 NAM Model, MIKE
BASIN,MIKE HYDRO and water resources planning tool like DSS(P)
are found efficient to develop various scenarios addressing water
resources management issues in Wainganga basin and it could
further be used in other basin.
⢠The regular monitoring of hydrological and meteorological data is
important for future water resources planning. The scientific
validation of data is equally important.
⢠The assessment of water availability and demand assessment need
to be carried out on regular basis to meet the various water use
demands in Wainganga basin
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44. Important lesson learnt from DSSImportant lesson learnt from DSS
⢠The reduction of water losses from Sanjay Sarovar canal,
Dhuty weir LBC and Dhuty weir RBC would result in increased
efficiency of the irrigation projects, additional water availability
for irrigation, reduction in demand deficit and increased
reliability of the system.
⢠The surface water Seasonal planning application of DSS(P) is
found useful to assess water demand-supply and surplus-
deficit scenario, planning for crop selection and optimal
utilization of available water resources.
⢠The seasonal groundwater model developed for Dhuty RBC
can be used in groundwater planning and to predict how
much groundwater will be available at the end of May based
on the groundwater level at the end of October.
45. Issues Regarding DSSIssues Regarding DSS
⢠Change of Basic modeling software (Mike basin to Mike Hydro)
⢠Frequent change of DSS(P) version which is not comfortable.
⢠DSS software for decision making and result projection requires the
knowledge of scripting programming which we are unable to perform.
⢠Complexity in Scenario development option in DSS.