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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 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
4Bhakra BeasNation’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. 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
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)
8
8
Satluj & Beas Basins
BHAKRA DAM
BEAS DAM
BEAS RIVER
SATLUJ
RIVER
Nangal
Manali
Mandi
Suni
RampurSangla
Dehra
Pandoh
Slapper
Tabo
Kaza
Pooh
PARVATI RIVER
Sainj Khad
Kangra
BASPA RIVER
SPITI RIVER
Kullu
Bilaspur
TIBET
N
Satluj Catchment : 56980 Km2
(20000 Km2 in India)
Beas Catchment: 12560 Km2
Legend:International BoundaryCatchment BoundaryRivers/Khads
SATLUJ
RIVERGobind Sagar
Pong Reservoi
rPalampur
BE
AS
RIV
ER
BSL
Sundernagar
Suke
ti K
had
Bharari Khad
Nauti KhadNogli Khad
Bha
ba K
had
Solding Nala
Tidong Nala
Ban
er K
hadGaj
Kha
d
Neo
gal K
had
Bin
wa
Kha
d
Uhl
Riv
er
Hurla Nala
Sal
asi K
had
Juni
Kha
d Bakhli Khad
Tirthan
River
Beh
ana
Kha
d
Gambar Khad
Als
aid
Kha
d
Kansa
Khad
Gha
nvi
Kha
d
Sho
rang
Kha
d
Mehbor K
hadTaiti K
had
Ropa Khad
Tiang Nala
Rong Tong
Nala
Ligt
i Kha
d
9
RAJASTHAN
CHANDIGARH
DELHI
Beas (Pong) Dam
Pandoh Dam
Ranjit Sagar(Thein) Dam
Bhakra Dam
Nangal Dam
Harike H/W
Feroze
pur
H/W
Sutlej R
iver
Indu
s R
iver
Ravi R
iver
Yam
un
a R
iver
Sutlej River
Beas River
Ropar H/W
Madhopur H/W
UB
DC
Indira
Bikaner C
analEas
tern
Can
al Sirhind Canal
B h
a k
r a M
a i n
L i n
e`
Sirh
ind
Fee
der
Raj
asth
an F
eede
r
BDCAnandpur Sahib H/Channel
Nangal H/Channel
SY
L
Tajewala H/W
Ghaggar River
W.Y
amuna
Canal
Madhopur Beas Link
Bea
s S
utl
ej
Lin
k
Sutlej, Beas, Ravi & Main Canal Network
I
N
D
I
A
Beas
River
GandhiCanal
Ghaggar H/W
Bhakra Main Br.
Fatehabad Br.
Del
hi
Br.
Sirsa Br.
Narw
ana Br.
Bikaner
Jaisalmer
KashmirCanal
Manak Escape
International BorderState Boundary
RiverCanal/Branch
Legend:
Dam/HW
N
P A
K
I
S
T
A
N
Head BML
Har. Con. Pt. RD 1,60,000’
Karni Singh Br.
Sadul Br.
Baruwali
Disty
Kishangarh Link
Jandwala
Disty
HR. Con. Pt. RD 3,90,000’
S G Canal
Barwala
Link
UTTAR PRADES
H
J & K
HARYANA
PUNJAB
HIMACHAL PRADESH
Ferozepur Feeder’
Shah
Nehar
Wazirabad Barrage
Okhla Barrage
M H
C
Rori
Feeder
10SATLUJ AND BEAS BASIN
PROPOSED STATIONS 85
SATLUJ 58
GAUGING 24
BEAS 27
CLASSIFICATION OF BBMB DAS STATIONS
12Telemetry Data – Snow Water EquivalentSnow Pillow Installed at Chumar, Elevation 14668 ft
13Telemetry Data – Snow Water EquivalentSnow Pillow Installed at Tso-Morari, Elevation 14845 ft
14Telemetry Network – Rainfall dataAutomatic Precipitation Gauge Installed at Kalpa, Elevation 9050 ft
15Telemetry Data – Full Climatic StationsFull Climatic Station Installed at Pandoh Dam, Elevation 3000 ft
16Telemetry Data – Water Level Recorder
Automatic Water Level Recorder Installed at Olinda, downstream of Bhakra Dam
Elevation : 1200 ft
BBMB RTDSS Integrates the Processing from Data to Water Management Decisions
Data ProcessingData Storage
ModelingObserved Data
Water Control Management Decisions
Instructions
SERVERS
Public and CooperatorsField Office
WeatherForecast
18Modeling - 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
THE VIEW OF SATLUJ AND BEAS RIVER BASINS WITH SUB BASINS, HYDROLOGICAL,HYDRODYNAMIC AND RESERVOIR SIMULATION MODELS WERE DEVELOPED DURING HP-II
20MIKE CUSTOMIZED - Interface
21Data Management - Interface snapshot
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
THE DATA CAN BE VISULIZE IN GRAPHICAL AND TABULAR FORMAT AS WELL AS THE QUALITY OF DATA RECEIVED CAN BE CHECKED WITH QUALITY FLAGS
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 BANDS snow.wmv
Near Real time 3 Hours Precipitation Data
Obtained from Tropical Rainfall Measuring Mission (TRMM) Available at 0.25 degree grid trmmm.wmv
THE 72 HOURS PRECIPITATION FORCAST DATA RECEIVED FROM REGIONAL INTEGRATED MULTIHAZARD EARLY WARNING SYSTEMS FOR ASIA AND AFRICA (RIMES) rimes.mp4
THE REAL TIME SIMULATION AND INFLOW FORCASTING BASED ON RIMES FORCAST IS CARRIED OUT AUTOMATICALLY IN RTDSS ,VARIOUS SCENARIOS CAN ALSO BE GENERATED
29HD 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 PeriodForecast Period
30An 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 - SeptemberBhakra – 1678.32 ftPong - 1390.01
Achieved first time in 25 Years after 1988
31Flood 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
32Flood Modeling
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 riversAdvanced Observation & communication SystemTo provide better means for organizing, accessing and
evaluating a wide range of data & alternatives to establish sound resultant information
34
RTDSS Benefits
Quicker & betterdesigned to understand, explore alternate course of actions,
predicting impacts and solving problems Better access to information Improved evaluation toolsEnhanced communication Improve System EfficiencyEfficient data gathering, storage and processing Facilitate communication in broader organizational contextPromote learning & TrainingReduce Flood Impacts & Improve Drought PreparednessOperational Flexibility & EfficiencyReplace old traditional system with a modern system;
35
Expected Benefits of RT-DSS
36June 2013 Uttrakhand Disaster
Observed heavy Rainfall just below Satluj – Gagna basin ridge divide
37
Run Video
Cummulative Rainfall – 15-20 June 2013uttrakhand trmm.mp4
Black Cells shows heavily affected areas
38THANK YOU
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