2
Indus River System
3
Irrigation Scenario at the time of Partition
 The partition in 1947 brought only 20% of the canal
system of undivided P...
4Bhakra Beas
Nation’s Pride
6
Height of Dam : 225.55 m (740 feet )
Gross Storage capacity : 9621 million m3 (7.80 MAF)
Area of Reservoir : 168.35 Sq. ...
7
Beas Project
Unit-II Beas Dam at Pong
Height of Dam : 132.59 m (435 feet)
Gross Storage Capacity of Reservoir : 8570 mil...
8
Satluj & Beas Basins
BHAKRA DAM
BEAS
DAM
Nangal
Manali
Mandi
Suni
Rampur
Sangla
Dehra
Pandoh
Slapper
Tabo
Kaza
Pooh
Sain...
9
RAJASTHAN
CHANDIGAR
H
DELHI
Beas (Pong)
Dam
Pandoh Dam
Ranjit Sagar(Thein)
Dam
Bhakra
Dam
Nangal
Dam
Harike
H/W
Sutlej R...
10SATLUJ AND BEAS BASIN
PROPOSED
STATIONS 85
SATLUJ
58
GAUGING
24
RADAR 6
BUBBLER
AND
CABLEWAY 5
BBMB
UPGRAD. 13
HYDRO-
MET. 34
S.W.E. 9 A.R.G. 14...
Telemetry Data – Snow Water Equivalent
Snow Pillow Installed at Chumar, Elevation 14668 ft
12
Telemetry Data – Snow Water Equivalent
Snow Pillow Installed at Tso-Morari, Elevation 14845 ft
13
Telemetry Network – Rainfall data
Automatic Precipitation Gauge Installed at Kalpa, Elevation 9050 ft
14
Telemetry Data – Full Climatic Stations
Full Climatic Station Installed at Pandoh Dam, Elevation 3000 ft
15
Telemetry Data – Water Level Recorder
Automatic Water Level Recorder
Installed at Olinda, downstream of
Bhakra Dam
Elevati...
BBMB RTDSS Integrates the Processing from Data to
Water Management Decisions
Data Processing
Data Storage
ModelingObserved...
Modeling - Process
Weighted
Average
Precipitation
• IMD Rainfall
• Telemetry Precipitation
• Satellite Precipitation
• RIM...
THE VIEW OF SATLUJ AND BEAS RIVER BASINS WITH SUB BASINS,
HYDROLOGICAL,HYDRODYNAMIC AND RESERVOIR SIMULATION
MODELS WERE D...
MIKE CUSTOMIZED - Interface
20
Data Management - Interface snapshot
21
THE DATA ACQUSITION AND VISULIZATION INTERFACE IN RTDSS AS
DATA RECEIVED FROM VARIOUS SOURCES LIKE BBMB TELEMETRY ,
IMD , ...
THE DATA CAN BE VISULIZE IN GRAPHICAL AND TABULAR FORMAT AS
WELL AS THE QUALITY OF DATA RECEIVED CAN BE CHECKED WITH
QUALI...
THE PHOTOS,REPORTS, WEBPAGES AND TIME SERIES DATA
CAN BE ASSOCIATED WITH DISPLAYED ICONS IN RTDSS
THE 500M RESOLUTION SNOW COVERED IMAGRIES FROM MODIS
AQUA AND TERRA RECEVIED DAILY FOR SNOW EXTENT IN VARIOUS
ELEVATION BA...
Near Real time 3 Hours Precipitation Data
Obtained from Tropical Rainfall Measuring Mission
(TRMM) Available at 0.25 degre...
THE 72 HOURS PRECIPITATION FORCAST DATA RECEIVED FROM
REGIONAL INTEGRATED MULTIHAZARD EARLY WARNING SYSTEMS FOR
ASIA AND A...
THE REAL TIME SIMULATION AND INFLOW FORCASTING BASED
ON RIMES FORCAST IS CARRIED OUT AUTOMATICALLY
IN RTDSS ,VARIOUS SCENA...
HD Modeling - Results
Simulation for 5 days before Time of Forecast (ToF) and 3 days after ToF
Actual Rainfall data till t...
An Achievement
June to September Cummulative inflow
1988 – 12204 MCM
2013 – 12024 MCM
RELEASESE IN 1988 ARE
24SEPTEMBER=70...
Flood Modeling
 Indian Satellite CartoSAT 30 m resolution DEM used
 1-D HD model run with 2-D mapping
 Model setup for ...
Flood Modeling
32
33
Real Time DSS In BBMB
Envisaged . . .
A well structured, user friendly and
complete water resources management system...
34
RTDSS Benefits
Quicker & better
designed to understand, explore alternate course of actions,
predicting impacts and s...
35
Expected Benefits of RT-DSS
June 2013 Uttrakhand Disaster
Observed heavy Rainfall just below Satluj –
Gagna basin ridge divide
36
Run Video
Cummulative Rainfall – 15-20 June
2013uttrakhand trmm.mp4
Black Cells shows
heavily affected areas
37
THANK YOU
38
Real time decision support system sutlej and beas river basin system
Real time decision support system sutlej and beas river basin system
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Real time decision support system sutlej and beas river basin system

  1. 1. 2 Indus River System
  2. 2. 3 Irrigation Scenario at the time of Partition  The partition in 1947 brought only 20% of the canal system of undivided Punjab to India’s share with 50% population.  The “Upper Bari Doab Canal” between the Ravi and the Beas (1859) and the “Sirhind Canal” in southern Punjab (1872) only came to India’s share.  Construction of Bhakra-Nangal Project was started in the year 1948. History of Bhakra-Beas Projects
  3. 3. 4Bhakra Beas Nation’s Pride
  4. 4. 6 Height of Dam : 225.55 m (740 feet ) Gross Storage capacity : 9621 million m3 (7.80 MAF) Area of Reservoir : 168.35 Sq. km. (65 Sq. Miles) Length of the Reservoir : 96.56 km. (60 Miles) Installed capacity : 1050 MW (Uprated to 1325 MW) Bhakra Dam Bhakra Nangal Project
  5. 5. 7 Beas Project Unit-II Beas Dam at Pong Height of Dam : 132.59 m (435 feet) Gross Storage Capacity of Reservoir : 8570 million cu m (6.95 MAF) Area of Reservoir : 260 Sq. km (100 Sq. Miles) Length of Reservoir : 41.8 km (26 Miles) Installed capacity : 360 MW (Uprated to 390 MW)
  6. 6. 8 Satluj & Beas Basins BHAKRA DAM BEAS DAM Nangal Manali Mandi Suni Rampur Sangla Dehra Pandoh Slapper Tabo Kaza Pooh Sainj Khad Kangra Kullu Bilaspu r TIBET N Satluj Catchment : 56980 Km2 (20000 Km2 in India) Beas Catchment: 12560 Km2 Legend: International Boundary Catchment Boundary Rivers/Khads Gobind Sagar Pong Reservoi r Palampur Sundernagar Nauti Khad Nogli Khad Juni Khad Alsaid Khad 8
  7. 7. 9 RAJASTHAN CHANDIGAR H DELHI Beas (Pong) Dam Pandoh Dam Ranjit Sagar(Thein) Dam Bhakra Dam Nangal Dam Harike H/W Sutlej River Ropar H/W Madhopur H/W Sirhind Canal Anandpur Sahib H/Channel Nangal H/Channel Tajewala H/W Madhopur Beas Link BeasSutlej Link Sutlej, Beas, Ravi & Main Canal Network Ghaggar H/W Bikaner Jaisalmer Manak Escape International Border State Boundary River Canal/Branch Legend: Dam/HW N Head BML Har. Con. Pt. RD 1,60,000’ HR. Con. Pt. RD 3,90,000’ UTTAR PRADES H J & K HARYANA PUNJAB HIMACHAL PRADESH Ferozepur Feeder’ Wazirabad Barrage Okhla Barrage
  8. 8. 10SATLUJ AND BEAS BASIN
  9. 9. PROPOSED STATIONS 85 SATLUJ 58 GAUGING 24 RADAR 6 BUBBLER AND CABLEWAY 5 BBMB UPGRAD. 13 HYDRO- MET. 34 S.W.E. 9 A.R.G. 14 FULL CLIMATE 6 SNOW DEPTH ON IMD 5 BEAS 27 GAUGING 18 RADAR 12 BUBBLER AND CABLEWAY 5 BBMB UPGRAD. 1 HYDRO-MET. 9 S.W.E 0 A.R.G. 3 FULL CLIMATE 5 SNOW DEPTH ON IMD 1 CLASSIFICATION OF BBMB DAS STATIONS
  10. 10. Telemetry Data – Snow Water Equivalent Snow Pillow Installed at Chumar, Elevation 14668 ft 12
  11. 11. Telemetry Data – Snow Water Equivalent Snow Pillow Installed at Tso-Morari, Elevation 14845 ft 13
  12. 12. Telemetry Network – Rainfall data Automatic Precipitation Gauge Installed at Kalpa, Elevation 9050 ft 14
  13. 13. Telemetry Data – Full Climatic Stations Full Climatic Station Installed at Pandoh Dam, Elevation 3000 ft 15
  14. 14. Telemetry Data – Water Level Recorder Automatic Water Level Recorder Installed at Olinda, downstream of Bhakra Dam Elevation : 1200 ft 16
  15. 15. BBMB RTDSS Integrates the Processing from Data to Water Management Decisions Data Processing Data Storage ModelingObserved Data Water Control Management Decisions Instructions SERVERS Public and CooperatorsField Office Weather Forecast
  16. 16. Modeling - Process Weighted Average Precipitation • IMD Rainfall • Telemetry Precipitation • Satellite Precipitation • RIMES forecast • Geographical shapes Rainfall Runoff Model • Sub catchments Area • Parameters • Snow coverage and depth • Temperatures Hydrodynamic Model • Cross sections • DEM • Flow parameters • Structures Inflow and water levels forecasts 18
  17. 17. THE VIEW OF SATLUJ AND BEAS RIVER BASINS WITH SUB BASINS, HYDROLOGICAL,HYDRODYNAMIC AND RESERVOIR SIMULATION MODELS WERE DEVELOPED DURING HP-II
  18. 18. MIKE CUSTOMIZED - Interface 20
  19. 19. Data Management - Interface snapshot 21
  20. 20. THE DATA ACQUSITION AND VISULIZATION INTERFACE IN RTDSS AS DATA RECEIVED FROM VARIOUS SOURCES LIKE BBMB TELEMETRY , IMD , TRMM , MODIS AND TRMM CAN BE SHOWN IN DIFFERENT LAYERS
  21. 21. THE DATA CAN BE VISULIZE IN GRAPHICAL AND TABULAR FORMAT AS WELL AS THE QUALITY OF DATA RECEIVED CAN BE CHECKED WITH QUALITY FLAGS
  22. 22. THE PHOTOS,REPORTS, WEBPAGES AND TIME SERIES DATA CAN BE ASSOCIATED WITH DISPLAYED ICONS IN RTDSS
  23. 23. THE 500M RESOLUTION SNOW COVERED IMAGRIES FROM MODIS AQUA AND TERRA RECEVIED DAILY FOR SNOW EXTENT IN VARIOUS ELEVATION BANDS snow.wmv
  24. 24. Near Real time 3 Hours Precipitation Data Obtained from Tropical Rainfall Measuring Mission (TRMM) Available at 0.25 degree grid trmmm.wmv
  25. 25. THE 72 HOURS PRECIPITATION FORCAST DATA RECEIVED FROM REGIONAL INTEGRATED MULTIHAZARD EARLY WARNING SYSTEMS FOR ASIA AND AFRICA (RIMES) rimes.mp4
  26. 26. THE REAL TIME SIMULATION AND INFLOW FORCASTING BASED ON RIMES FORCAST IS CARRIED OUT AUTOMATICALLY IN RTDSS ,VARIOUS SCENARIOS CAN ALSO BE GENERATED
  27. 27. HD Modeling - Results Simulation for 5 days before Time of Forecast (ToF) and 3 days after ToF Actual Rainfall data till time of forecast RIMES forecasted rainfall for 3 days Simulation Period Forecast Period 29
  28. 28. An Achievement June to September Cummulative inflow 1988 – 12204 MCM 2013 – 12024 MCM RELEASESE IN 1988 ARE 24SEPTEMBER=70767CUSEC 25SEPTEMBER=123767CUSEC 26SEPTEMBER=117170CUSEC 27SEPTEMBER=114156CUSEC Flood Gates had to be opened in 1988 but better management could avoid floods in 2013 Dams Levels on 20th - September Bhakra – 1678.32 ft Pong - 1390.01 Achieved first time in 25 Years after 1988 30
  29. 29. Flood Modeling  Indian Satellite CartoSAT 30 m resolution DEM used  1-D HD model run with 2-D mapping  Model setup for Satluj River between Nangal and Ropar  September 1988 (flood period) Data used as release from Nangal  Time varying 2-D flood inundation map generated  The results uploaded to Google earth for visualization Data Acquisition System Telemetry Data IMD Data RIMES Forecast Modis Snow Imageries NASA Satellite Precipitation Manual Observation Data Data Storage and Management System Architecture Data Flow Backup and Security Modelling Tools Weighted Rainfall Rainfall Runoff Snow Melt Hydrodynamic Allocation Model Flood Models Results Visualization and Dissemination Realtime DSS Interface Workstations Remote Locations Website – Dashboard Daily Reports Email and SMS Alerts 31
  30. 30. Flood Modeling 32
  31. 31. 33 Real Time DSS In BBMB Envisaged . . . A well structured, user friendly and complete water resources management system Provision of forecasting snowfall & rainfall Estimation of corresponding discharges in rivers Advanced Observation & communication System To provide better means for organizing, accessing and evaluating a wide range of data & alternatives to establish sound resultant information
  32. 32. 34 RTDSS Benefits Quicker & better designed to understand, explore alternate course of actions, predicting impacts and solving problems Better access to information Improved evaluation tools Enhanced communication Improve System Efficiency Efficient data gathering, storage and processing Facilitate communication in broader organizational context Promote learning & Training Reduce Flood Impacts & Improve Drought Preparedness Operational Flexibility & Efficiency Replace old traditional system with a modern system;
  33. 33. 35 Expected Benefits of RT-DSS
  34. 34. June 2013 Uttrakhand Disaster Observed heavy Rainfall just below Satluj – Gagna basin ridge divide 36
  35. 35. Run Video Cummulative Rainfall – 15-20 June 2013uttrakhand trmm.mp4 Black Cells shows heavily affected areas 37
  36. 36. THANK YOU 38
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