Participating States A.P. Chhattisgarh. M.P. Maharashtra Karnataka Kerala Orissa Tamil Nadu

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1 for Integrated Water Resources Development & Management Workshop Integrated Water Resources Management Applications Defining i Scope Under Hydrology Project, Phase-III June 18, 2014

2 Participating Central Agencies CWC CGWB CWPRS NIH (Nodal Agency) IMD CPCB Participating States A.P. Chhattisgarh Gujarat M.P. Maharashtra Karnataka Kerala Orissa Tamil Nadu

3 Decision A reasoned choice among alternatives Definition of a DSS Computer based system integrating tools and databases that assist a decision-maker in making informed decisions and analyze consequences.

4 Water Resources: A Typical River Basin Precipitation Fishing Reservoir Hydropower Forest Industry Runoff Urban WSS River Basin Boundary Rural WSS Rainfed Agriculture Return Flow Irrigation Recreation Groundwater Inflow Community Use Infiltration / Recharge Navigation Wetlands / Environment Base Flow / Pumping Groundwater Livestock Irrigation Groundwater Outflow Ocean

5 Misconception: A DSS takes decisions... No! UsingaDSS,aprojectmanagerisabletomake rational use of resources without an in-depth knowledge of modeling techniques Scenario analysis [ what if scenarios] Open and unbiased working Provides timely information Communicate result to a larger audience

6 Surface water planning Integrated operation of reservoirs Conjunctive surface and ground water planning Drought monitoring, assessment and management Management of surface and ground water quality

7 Main Components & Data Flow in DSS Output / Reports/ Dissemination of Information Processing & filtering of information Data and information Field Data Models (e.g. MIKEHYDRO)

8 Hydromet. Information System and database Analysis and Modeling Scenario Management Decision Support Primary data HP1 HIS Images Data entry Processing Visualization Analytical tools Models (basin water allocation, hydrologic simulation) Define scenarios Manage scenarios Outputs (long-term/short- term planning) Standard reports Data integration Presentation & Dissemination (Web access) Secure intranet t Internet t access System Configuration Database interfaces, data exchange, data backup System maintenance

9 Water Allocation model - River Basin Model (RBM) Allocation model used to simulate water distribution and allocation within a basin to know how water moves and utilized spatially & temporally. The distribution is along arcs that t represent rivers and canals which pass water between nodes. Nodes represent confluences, bifurcations, locations where certain water activities iti may occur, or locations where model results are required

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12 Water Resources Availability Assessment Using water allocation model, analyse feasibility of future water use, considering changes in water demand, d infrastructure t etc. for different climatic conditions average conditions wet, dry and drought years Required long time series of surface runoff and recharge to GW to represent realistic estimates of future conditions.

13 describes the catchment s response to rainfall

14 Modeling Methodology for DSS(P) River basin divided into several sub-basins basins based on locations of hydraulic structures and hydrological network Water budgeting using rainfall-runoff modeling for each sub-basin to estimate hydrological components (evaporation, rainfall recharge, overland flow, interflow & base flow) Allocation model (MIKE Hydro) in conjunction with hydrological inputs used to allocate available SW and GW DSS (platform) used to analyze scenarios

15 Process and analyse GIS & time series information Publish selected information (general, drought, flood..) Model applications for long-term/short-term planning

16 Properties Model Display Model explorer Select items/ Display chart Tools

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18 Properties Model explorer Model structure Tools

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22 Wainganga catchment, Madhya Pradesh Assess water availability in sub-catchments of Basin DSS includes tools to generate long time series of daily runoff DSS includes tools to generate long time series of daily runoff from sub-catchments by extending & gap-filling measured flow series. The series also be used to assess water availability at any location within the area.

23 Patadungari, Mahi basin, Gujarat Seasonal Planning How much water Patadungari reservoir can release to the left and right bank command areas while preserving the full delivery to the town of Dahod? Scenarios were run that restricted delivery of water to command areas until optimum reservoir water level was maintained in dry season for reliable supply water to Dahod and at the same time maximized production in command areas.

24 Upper Bhima, Maharashtra Integrated reservoir operation- Flood analysis Flooding within Upper Bhima catchment and downstream of Ujjani reservoir. Reliable forecasts on reservoir inflow can enable more efficient flood mitigation, as water can be released from reservoirs before the high inflow starts and additional storage thereby created to retain the flood runoff. Ujjani inflow / outflow for three scenarios This was tested for a severe flood event for scenarios of 0, 1, & 2- day inflow forecasts. enabling a reduction in flow peaks d/s of Ujjani dam from 9550 m 3 /s to 7590 or 5800 m 3 /s respectively with 24 or 48 hour forecast.

25 Sri Ram Sagar Project, Andhra Pradesh Conjunctive Use of SW & GW Scenario I: no restriction on SW use by head /middle section users. Tail end users supplement with GW. Scenario II: limited it SW abstraction ti by head and middle section users; more water for tail end users. epth to GW level (m) De

26 Patadungari, Mahi basin, Gujarat Groundwater Planning Simulated water levels for various stages of GW development GW Development 60% GW Development 48% W level (m) Depth to GW GW Development 90 %

27 Watershed in Upper Bhima Basin, Maharashtra ht Increasing the GW availability through artificial recharge Depth to GW simulated over 40 year period to indicate sustainability of utilization with and without proposed artificial recharge.

28 C2 Catchment, Palar Basin, Karnataka Impact of anticipated climate change on availability of water resources Results indicate that in future, GW availability will increase and can support additional water use for drinking water or irrigation

29 Drought Management Drought indicators Assessing impact of check dams & artificial i recharge measures

30 DSS: Some Applications - Dashboard Tool Upper Bhima Basin, Maharashtra Overview of water quality situation Illustration GW quality variation from year to year directly from data

31 DSS: Some Applications - Dashboard Tool Watershed, Andhra Pradesh Groundwater condition in G5 Web site linked to DSS database, any update of data is reflected on website

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33 Dissemination, Training & Outreach Training courses More that 20 common courses Total duration: 38 weeks Two courses in Denmark (6/3 weeks) Detailed ToT for NIH Nodal Officers

34 Dissemination, Training & Outreach Software manual & Training manual Workshops & high-level awareness Brochures web site You Tube,

35 DSS Sustainability Ongoing Activities Training of State Personnel DSS(P) Studies for additional basins

36 Success of DSS(P) better data - better understanding of existing conditions, complete up-to-date picture better collaboration - between field officers/ personnel, analysts & policy makers better planning - realistic scenarios and effective decision making for short-term & long-term planning of water resources

37 Shri R. D. Singh Dr. Rakesh Kumar Project Director Project Nodal Officer Member Name Concerned State Mr. D. S. Rathore Maharashtra Dr. M. K. Goel Kerala Dr. A. K. Lohani Tamil Nadu Dr. R. P. Pandey Orissa Dr. Anupma Sharma Gujarat Dr. Surjeet Singh Chattisgarh Dr. Sanjay Kumar Maharashtra Dr. B. Venkatesh Karnataka Mr. Ravi Galkate Madhya Pradesh Dr. P. C. Nayak Andhra Pradesh