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Jurala Reservoir Inflow & Outflow

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Jurala Reservoir Inflow & Outflow Artificial Intelligence in Water Resources Sector A.RADHA KRISHNA M Tech (IIT Madras), MIE, DIM (IGNOU) Deputy Director, ISWR, WRD ARTIFICIAL INTELLEGENCE IN APWRD WELCOME APHRDI, Bapatla 27 FEB 2019 ARTIFICIAL INTELLEGENCE IN APWRD My Mentors ARTIFICIAL INTELLEGENCE IN APWRD Contents Water Resources of AP – Existing Scenario Major Processes in the Department Advent of Artificial Intellegence Allied Subjects : Bigdata, Block Chain Areas of Implementation ARTIFICIAL INTELLEGENCE IN APWRD Beas Floods - 2014 Location of Larji Dam On Beas river Maximum flow, caution boards, alarm system ARTIFICIAL INTELLEGENCE IN APWRD Beas Floods - 2014 Thalaut : place of incident 21 Km down stream of larji dam ARTIFICIAL INTELLEGENCE IN APWRD My Latest Treasures ARTIFICIAL INTELLEGENCE IN APWRD Artificial Intelligence is a way of making a computer, or a robot, or a text software think intelligently, in the similar manner the intelligent humans think Reasoning Problem solving Perception Learning Planning, Ability to manipulate and move objects ARTIFICIAL INTELLEGENCE IN APWRD ARTIFICIAL INTELLEGENCE IN APWRD BLOCK CHAIN The Internet of Things (IoT) is the network of physical devices embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data ARTIFICIAL INTELLEGENCE IN APWRD ARTIFICIAL INTELLEGENCE IN APWRD e-Pragati AP Government Initiative towards Digital Governance ARTIFICIAL INTELLEGENCE IN APWRD 1 One Government 2 Single Entry, Multiple Use Disintermediation and e- e-Pragati 3 Manifesto Intermediation 4 Derive Insight, Deliver Foresight 5 Citizen at the Core ARTIFICIAL INTELLEGENCE IN APWRD 20% of High Existing Scenario (2019) Irrigated area rainfall WATER STORAGE ZONE 50% of Irrigated area Total Geographical Normal to Area high 402.70 Lakh Ac Rainfall (south west) Total Cultivable Area 199.04 Lakh Ac Total command Normal to Less Rainfall (NE Monsoons) Area 103.11 Lakh 30% of Irrigated area Ac Reservoirs ARTIFICIAL INTELLEGENCE IN APWRD Evolution of Water Resources Major & Lift Barrages Tanks Medium systems (40000) (4 N0) Reservoirs (115) (350) Inter linking and Intra linking ARTIFICIAL INTELLEGENCE IN APWRD Almatti Project Constructed:2005 Krishna Basin Capacity: 123 TMC TELANAGANA Projects Narayanapur Dam Jurala Project Constructed: 1982 Constructed:1981 Capcity:37.965 TMC Capacity: 11.20 TMC ANDHRA PRADESH NSP Constructed: 1967 Pulichintala Project KARNATAKA Capacity: 408 TMC Constructed: 2014 Capacity: 45.77 TMC Srisailam Dam Constructed: 1980 Capacity: 216 TMC Prakasam Barrage Constructed:1852/1957 Capacity:3.07 TMC TOTAL LENGTH OF KRISHNA RIVER: 1400KM ARTIFICIAL INTELLEGENCE IN APWRD Pochampad Project (Sri Ram Sagar) Godavari Basin Constructed:1975 Jaikwadi Project Capacity: 90.3 TMC Constructed:1976 Projects Capacity: 102.7 TMC MAHARASHTRA TELANGANA ANDHRA PRADESH Dowlaiswaram Barrage (SACB) Constructed:1850/ Rebuilt in :1970 Capacity: 2.93 TMC TOTAL LENGTH OF GODAVARI RIVER: 1465KM ARTIFICIAL INTELLEGENCE IN APWRD Krishna Delta System – Evolution (1791-2019) ARTIFICIAL INTELLEGENCE IN APWRD Basins and 52.50 TMC Availability Vamsadhara of Water Godavari basin 860.00 TMC WATER AVAILABILTY Krishna basin 532.04 TMC Others (16%) Basin Availability Pennar % 98.65 TMC (TMC) Pennar(5%) Krishna 532.04 29 % Godavari 860.00 47 % Godavari Basin (47%) Pennar 98.65 5 % Vamsadhara 52.50 3 % Others 289.90 16 % Krishna Godavari Pennar Vamsadhara Others Total 1833.09 ARTIFICIAL INTELLEGENCE IN APWRD Krishna delta 180 TMC Nagarjuna Sagar Project 164 TMC Kurnool-Kadapa Canal 40 TMC TBP HLC 32.50 TMC Polavaram 200 TMC TBP LLC 24 TMC HNSS 40 TMC Bhairavanitippa 4.90 TMC GNSS 40 TMC Guntur Channel 4.00 TMC Vaikuntapuram 2.60 TMC TGP 30 TMC Gajuladinne 2.00 TMC Veligonda 40 TMC Godavari delta System 250 TMC Vamsadhara 50 TMC ARTIFICIAL INTELLEGENCE IN APWRD Area Irrigated in 2017 kharif Ground Water Major & (28%) Source Type of irrigation Ayacut Ayacut Irrigated Medium Proposed (Lakh Ac) Minor (53%) (Lakh Ac) & lift Surface Water Major and Medium 66.88 43.41 (19%) irrigation Minor irrigation 25.38 15.09 including lift Surface Irrigation 92.26 58.50 Groundwater 23.44 23.22 Total 115.70 81.72 ARTIFICIAL INTELLEGENCE IN APWRD Food Grain Productivity ARTIFICIAL INTELLEGENCE IN APWRD Water Resources Sector activities in Vogue Achieving Water Use Efficiency in Driving Philosophy 1 existing Projects Is 2 “WATER SECURITY” TO ALL Water Conservation/harvesting STAKE HOLDERS 3 Transfer of Water from Surplus to deficit regions through Inter and Intra linking ARTIFICIAL INTELLEGENCE IN APWRD APWRD Organogram EXTERNAL STATE AIDED (APILIP, APIAAT PROJECTS P) CENTRAL NATIONAL SPONSORED PROJECTS (POLAVARAM) (PMKSY) NHP O&M ARTIFICIAL INTELLEGENCE IN APWRD Entities of APWRD (18 ) Farmers Organisations Technical State Project Committee (PC) Reservoirs & CE/ENC office 53 Major canals 20 13 District Distributory Committees (DC) Branch canal Circle (SE) 245 90 Division (EE) Mandal Water Users Association (WUA) Minor canal 300 670 6138 Sub Minor SubDivision (DEE) 900 36000 18000 Territorial Constituency Field channel Section (AEE) Village 3500 Cadastral (survey Numbers) 35 lakhs AP GWD APSIDC ARTIFICIAL INTELLEGENCE IN APWRD Processes What is Digital Governance ? Data Acquisition Analysis Why Digital Governance AI Decision Making Accountability Communication Transparency Efficiency Speed DIGITAL GOVERNANCE IN APWRD Probable SCADA (Supervisory Control and Data Acquisition System) Areas to (Rivers, Canals, Reservoirs, Command area) Apply COMMAND AREA MONITORING STUDIES AI (115 Reservoirs & 40000 Minor Tanks ) WATER USE EFFICIENCY (WUE) STUDIES (Performance study of 6000 WUA) BASIN STUDIES (Basin wise yield, utilisation and surplus/deficit Analysis) TANK SECTION PROCESS FOR RENOVATION (40,000 tanks memoirs) SEDIMENTATION ANALYSIS (Major Reservoirs) 10 Modules FLOODS MONITORING (Major Rivers, Urban & Mandals) ARTIFICIAL INTELLEGENCE IN APWRD SCADA (SUPERVISORY CONTROL AND DATA ACQUISITION ) Equitable Water Distribution For Irrigation, Drinking, Industries Etc ARTIFICIAL INTELLEGENCE IN APWRD ARTIFICIAL INTELLEGENCE IN APWRD Data Collection & Compilation Unit of Analysis = Unit of Data Collection Entities, GIS MIS Database Database Database Activities, Connectivity, Decisions Historical and Real Time ARTIFICIAL INTELLEGENCE IN APWRD Hierarchical Data (GMIS) DC 4 WAZEERABAD NSLC BORRIAPALEM WUA (WUA23) NSLC WUAS OF DC-4 OF NSLC ARTIFICIAL INTELLEGENCE IN APWRD ARTIFICIAL INTELLEGENCE IN APWRD GIS DATABASE WHAT IS A GIS MAP ? A MAP HAVING COORDINATES i.e EITHER LATITUDE, LONGITUDE OR IN METERS IS CALLED GIS MAP THE GLOBAL COORDINATES ARE, IN GENERAL, MEASURED IN DEGREES, MINUTES AND SECONDS. ACCORDING TO THE POSITION OF THE PLACE ON THE EARTH AND AS PER THE PROJECTION PARAMETERS, THE DIMENSIONS ARE CONVERTED INTO METERS. ARTIFICIAL INTELLEGENCE IN APWRD GIS Database and Google compatibility Any map can have three types of measurements (2.32,2.79) (3.35,2.79) (78.50,19.30 (84.50,19.30) (234235,434786) (469823,434786) (2.32,1.12) (3.35,1.12) (78.50,16.30 (84.50,16.30) (234235,253476) (469823,253476) In digitiser or In degree, minutes In meters scanned units and seconds ARTIFICIAL INTELLEGENCE IN APWRD GIS Map GOOGLE MAPS Ordinary map of GIS map of three adjacent villages three adjacent villages MAP Availability 3 1 3 2 1 2 In digitiser or In degree, minutes and seconds scanned units Or In meters Point Features Points have a single geographic coordinate such as: Trees Bench marks dams NAGARJUNASAGAR control points Wells Mandal head quarters Bridges Culverts Structures Mile stones ARTIFICIAL INTELLEGENCE IN APWRD Line Features Lines (Arcs) are a series of geographic coordinates joined to form a linear feature like Road Stream Railway line ROAD State Boundary Shore lines Pipe lines Canals CANAL ARTIFICIAL INTELLEGENCE IN APWRD Areas (Polygons) are a series of geographic coordinates joined together to form a boundary such as: Area Features Reservoirs Soil types Geology units Urban extents Rivers Cadastral boundaries Village boundaries Command boundaries ARTIFICIAL INTELLEGENCE IN APWRD Data Types Topo sheet Satellite Imagery District maps Cadastral drainage pattern, rivers, Hills, Forest, Rail and Road Geology, Landuse, State, District, Mandal, Country network, canals, Soils (thematic) Reservoirs, tanks, ARTIFICIAL INTELLEGENCE IN APWRD Marking of TC boundaries TC1 TC2 TC3 172 KAVURU WUA ARTIFICIAL INTELLEGENCE IN APWRD Rainfall Data The Sources are • Sub Basin wise Rainfall Information for 24 subbasins : (Daily for a Week) India Meteorological Department – (IMD Hyderabad, IMD Bangalore, IMD Chennai and IMD Bhuvaneshwar) Varuna – Andhra Pradesh Weather Forecast (ISRO/Vassar Labs Varuna) • AP State Rainfall Information: (Hourly / Daily / Weekly) India Meteorological Department. Central Water Commission CM Office Real Time Executive Dashboard (CORE Dashboard). Water Resources Department, Government of Andhra Pradesh Andhra Pradesh State Development Planning Society, Planning Department, Government of Andhra Pradesh Varuna – Andhra Pradesh Weather Forecast (ISRO/Vassar Labs Varuna.) Telangana State Development Planning Society, Planning Department, Government of Telangana ARTIFICIAL INTELLEGENCE IN APWRD Stream Gauge Data The Sources are Central Water Commission Andhra Pradesh Weather Resources Information and Management System (ISRO/Vassar Labs Varuna) Water Resources Department, Government of Andhra Pradesh. Canal Releases Data The canal releases data from Releases from Pattiseema Releases from Prakasam Barrage
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