National Water Informatics Centre NWIC Integrated Water and

National Water Informatics Centre (NWIC) Integrated Water and Crop Information and Management System (IWCIMS) 1

1. National Water Informatics Centre (NWIC) Created as a sub ordinate office under Do. WR RD & GR (Ministry of Jal Shakti) by cabinet, on 28 th March 2018. A repository for nation-wide water resources data including maintenance, updating, collation and dissemination. Objectives of NWIC: Sharing of Hydro-meteorological data and other information with Central and state government organizations, research institutions and general public.

1. 1 Vision & Mission of NWIC India to become a water secure nation, protected from hydro-met extremes and a reliable and adequate supply of clean water to citizens, agriculture, industry and the environment. To collect water data from across India and add value to it to inform citizens, Governments and businesses as well as to create water information services for decision makers on water availability assessment, utilization, conservation, storage, recharge etc.

1. 2 Present Activities in NWIC Enriching India-WRIS database Maintenance of Server and IT infrastructure at NWIC Providing data to user organizations, on request Supporting development of Integrated WRIS Development of Integrated Water and Crop Information and Management System (IWCIMS)

2. Existing Architecture

2. 1 Existing System: Integrated WRIS • • All water data on a single platform Manual and telemetry data Surface and groundwater Focus on data management and dissemination, advanced analyses and modelling outside the system Time series data entry, validation, basic analyses, visualisation, download GIS layer visualisation and editing Direct inflow of data after integrated e-SWIS / WRIS platform Development of tools that can be used for various purposes e. g. Water Data Online, Data D ownload facility from different agencies through single window, separate report generation via each module.

2. 2 Integrated WRIS – Recent Value Additions Station Data Management e-SWIS Station Data Management & valida Data entry /Primary Validation

Integrated WRIS – Recent Value Additions Contd… WFS editor • Add data • Add feature • Edit Data • Delete Data

Cont. … Integrated WRIS – Recent Value Additions (Data) Data Enrichment S. N o. DATA 1 Rainfall AGENCY YEAR IMD, AP state, CWC 1901 - + other, NRSC 2019 2 Reservoir (daily, CWC, AP state 1999 - Monthly, Yearly) 2019 3 River points NIH, Roorkee 1959 – (HO) 2019 BBMB CWC + Other Agencies DWRID, Govt. of West Bengal Damodar Valley Corporation (DVC) 4 ET / Soil NRSC VIC 2018– moisture 2019 Download Data 1. Reservoir q State Level Storage Comparison q Region Level Storage Comparison 2. H. O. Data q Basin Level Storage q Comparison Flow Comparison

3. Towards Decision Support System (DSS) 2020 -2027 2017 -2020 2009 -2017 q Data repository Old India-WRIS q WMS, Downloads q Static Charts and graphs q Manual data updation q Primary users are state and central agencies, Researchers. NWIC, Delhi Integrated WRIS (Under q Station Entry and Development) management q WFS (Online Editor) q Near real time data capture and processing q Primary users are state and central agencies, Researchers. Cloud q Decision support Proposed DSS system IWCIMS q Mobile apps for geotagged field data collection q Automation of data processing in coherence with satellite imageries q Near Real time data acquisition and processing using AI and ML q Users include local farmers, Panchayat level administrative Integrated bodies, NGO’s etc. Cloud

3. 1 DSS – Approach Schema

3. 2 Proposed Mechanism - DSS Pollution & Quality Management Integrated Reservoir Management Block level crop planning DSS & Information Management Modules & Validation Integrated Cloud Database Management (RDBMS-No. SQL-Big Data) Drought Management Village Water Budgeting Smart Grid Water Transfer Water Security Plan Implementing Agencies Data Sources (Stations/ Global data Platforms) Output & Application Processing, Analysis & Modeling

enhance the existing 3. 3. 1 Integrated Reservoir Management spatial, historical time series data at each off-take point till tailend. q Constraints like deficit sharing, losses, storage limits, eflows & consumptive use etc. in Irrigation Hydro-electric power Flood- moderation E-flows Recreation & Navigation

the water availability 3. 3. 2 Village Water Budgeting through different sources with net surplus and deficit. q Water Budgeting through Rainfall-runoff model and Network-flow model. q Calculation of input parameters through gridded Village Level water surplus/deficit Crop Planning Module Smart-Grid Transfer module Water Security Plan Module

q Optimal Crop 3. 3. 3 Block Level Crop Pattern for specific soil, Planning source of irrigation, available water, local farming practices and market demand. Maximising Economic Output Sustainable Groundwater q Water-Crop Desired Crop Mix optimization model checking various scenarios. Informed Crop Selection

3. 3. 4 Water Security Plan q Village level network flow computation q Allocation of available run -off q Additional capacity for water conservation structure required at given dependability. Water Conservation Additional Water Storages Water Deficit Sharing Drought Mitigation Groundwater Recharge

planning for transfer of 3. 3. 5 Smart grid Water Transfer water using optimal path taking into account gravity and geographical features and existing water network of reliable water resources. q Inter-basin transfer. q Considers demand for Drought Mitigation Replenishing Groundwater Drinking and irrigation demands at village level

q Real time interactive 3. 3. 6 Drought Management drought monitoring & early warning systems Drought Mitigation q Quantification and classification of drought using various indices q Managing risks and mitigation of drought after effects. Reducing Drinking water stress Prioritizing Water Stress areas

q Real-time 3. 3. 7 Pollution & Quality Management monitoring of surface & ground water quality through sensors and/or by mobile application. q Capability to classify whether water from a particular region meets standards. Water quality status Interventions to improve Quality

3. 4 Modules not included in IWCIMS FLOOD FORECASTING AQUIFER MAPPING WATER TRADING GROUND WATER RESOURCE ESTIMATION

3. 5 Data responsibility in Development and O&M Ph One nodal officer shall be appointed at each level-Centre, State and Consultant. Primarily data sources- q Central and State Agencies q Free satellite data and imageries (2 Yrs) q. Development Central and State Nodal O&M (5 Yrs) Officers shall provide During O&M phase authorization and Consultant would be ensure access to the requiring more support Consultant. from Central and State q Liasoning and collection Agencies due to less shall be done by nodal man-power. officer from the Updation and creation of new database shall Consultant. be done by the Consultant with data provided by State/ Central Agencies.

3. 6. 1 Data Sources and Input provisions in DSS q Climate q Water resource- Availability, Water Input Databases consumption, Water allocation data, Water infrastructure Institutions / Data Bodies q Demography q Central Agencies q State Agencies q Economic q Local Village q Natural Resource Inputs level Bodies q Agronomic Practice- production systems q Academic and technologies, genetic improvement, research livestock Institutions q Agricultural Development: Reciprocity q NGOs /Self help Group and exchange, farmer participation in q Field technological development. q Markets and Consumption: food supply chain, food standards, energy, C footprint, environmental impact. q GIS Layers q Inventories Input Data Forma q Local information through questionnaire and surveys q Surveyed Data q Thematic maps in water and irrigation department q Digital information through monitoring stations/dashb oards

3. 6. 2 Data Requirement q Reservoir d ata q Water Utiliz ation q Weather & Rainfall q Crop Inform ation q Source of Irrigation q Land Use q GIS and Other Satellite Data q Water Demand q WC Structures q GW Data q Crop Phenology q Market Information q Historical water quality & pollution data

3. 7 Categorization of States Category-1 1 Uttar Pradesh 2 Maharas htra 3 Madhya Pradesh 4 Tamil Nadu 5 Rajastha n 6 Karnatak a 7 Gujarat 8 Orissa 9 Telangan a 10 Chhattisg arh 11 Bihar 12 West Category-2 Category-3 Category-4 Not included 1 2 1 Delhi 2 Goa 3 Puducher ry 1 Arunachal Pradesh 2 Andhra Pradesh 3 Jammu and Kashmir 4 Ladakh 5 Andaman and Nicobar Islands 6 Dadra and Nagar Haveli 7 Daman and Diu 8 Lakshadweep 9 Chandigarh 3 4 5 6 7 Kerala Jharkha nd Assam Punjab Haryana Uttarakh and Himach al Pradesh 1 Tripura 2 Meghal aya 3 Manipur 4 Nagala nd 5 Mizora m 6 Sikkim CATEGORY I AREA GREATER THAN 1 LAKH SQ. KM OR POPULATION GREATER THAN 5 Cr. CATEGORY II AREA GREATER THAN 30 THOUSAND Sq. Km. OR Population greater than 60 lakhs CATEGORY III HILLY NORTH EASTERN STATES

3. 8 Important Features q Gujarat and Rajasthan have shown interest to come aboard as pilot states. q Provision for all States to join the system. q Steps for more transparency and objectivity, e. g. LCS and well defined evaluation criteria and sub-criteria. q Payment linked to measurable Milestones, validated by Project Monitoring Committee. q Development and O&M to be paid by respective agency (Central or State) from NHP funds until 2024.