The document describes BBMB's Real Time Decision Support System (RTDSS) project. The objectives are to incorporate advanced data acquisition and communication systems to help with operational management of Bhakra and Beas reservoirs. The system collects telemetry data from over 80 stations, including rainfall, water levels, snow levels. It also downloads satellite data and forecasts. The data is analyzed using hydrological and hydrodynamic models to forecast reservoir inflows and water levels to help with flood control and water distribution.
4. RTDSS - Introduction
• BBMB – Responsible for management and operation of
• Bhakra, Pong, Nangal and Pandoh Dams
• Distribution of water from
• Ravi, Satluj and Beas Rivers
• The need for RTDSS
• For accurate inflow forecast at reservoirs
• Scenario generation for various forecasts
• Flood control and early warning systems
• Equitable distribution of water among partner states
4
Introduction
5. Real Time Decision Support System
• Project Objectives
• The objective of BBMB Real time decision support system (RTDSS) is
to incorporate state- of- the- art data acquisition system (DAS) and
advanced communication system , for real time operational
management of the BHAKRA and BEAS reservoirs in an integrated
manner
• Components of RTDSS
• Data Acquisition system
• Data Storage and management
• Modeling Tools
• Results Visualization and dissemination
5
Introduction
6. Financial Summary
6
Allocation under
the project as
per PIP
(Rs. Crores)
Expenditure
upto March 2014
(Rs. Crores)
Likely
expenditure by
May 31, 2014
(Rs. Crores)
39.23 24.02 13.93
FinancialStatus
7. Telemetry data
• Telemetry Data – Imported from DAS server every hour
• Quality checked and filtered
• Updated into Database Server
• Data received for
• Rainfall and precipitation stations (16)
• Automatic water level recorders (42)
• Full Climatic Stations Temperature, humidity, sunshine, wind etc. (12)
• Snow Water Equivalent – Snow Pillow (9)
• Snow Depth Sensors (9)
7
DataAcquisitionSystem
8. New Stations installed (10)
8
Sr. No. Name of Station
1 Sidhmukh Feeder at Haryana-Rajasthan Border- RD 123100 of Sidhmukh
Feeder (200 ft d/s of bridge at RD 122900)
2 Rajasthan Feeder at RD 15900 left bank of Rajasthan Feeder (d/s of bridge
RD 15569)
3 Rajasthan Feeder d/s of Link with Sirhind Feeder
4 Jasana Major Head D/s 100 m of curved portion D/s of Head.
5 Makhu Canal
6 Bikaner Canal at RD 86500
7 Head of Ferozepur Feeder.
8 Madhopur Beas Link at Head
9 Kashmir Canal at Head
10 D/s Thein Dam (Gammon Bridge)
9. Data Acquisition System
9
PROPOSED
STATIONS 85
SATLUJ 58
GAUGING
24
BUBBLER AND
CABLEWAY 5
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
DataAcquisitionSystem
Total stations 95 civil work completed 83
Balance 12 stations under progress
10. TelemetryData – Full Climatic Station
10
DataAcquisitionSystem
Full Climatic Station Installed at Kalpa, Elevation 9046 ft
11. TelemetryData – Full Climatic Station
11
DataAcquisitionSystem
Full Climatic Station Installed at Pandoh Dam, Elevation 2949 ft
12. TelemetryData – Snow Water Equivalent
Snow Pillow Installed at Chumar, Elevation 14668 ft
12
DataAcquisitionSystem
13. TelemetryData – Snow Water Equivalent
13
Snow Pillow Installed at Tso-Morari, Elevation 14845 ft
DataAcquisitionSystem
14. Telemetry data – Water level recorders
14
DataAcquisitionSystem
Automatic Water Level Recorder Installed at Olinda, Elevation : 1200 mft AMSL
16. Satellite Data Communication
16
Workstation
Data Transmission
through satellite Raw
Data
Module
Data
Decoding
Module
DataTransmissionfrom
RemoteStations
DAS Server
(1 TB)
DMS/ Backup
Server
(1 TB)
Modeling
Server
(300GB)
Database
Server (1 TB)
Backup
Server (1 TB)
Workstation
Workstation
DataAcquisitionSystem
19. Data Acquisition – IMD data
Rainfall and Temperature Data downloaded for 30 IMD Stations
19
DataAcquisitionSystem
Installed Stations – 28
Balance - 30
20. Data Acquisition – RIMES
Forecast
20
DataAcquisitionSystem
RIMES Forecast received for 3 days, at 6 hour interval
21. Data Acquisition – MODIS
Imageries
21
DataAcquisitionSystem
MODIS Imageries for Snow Cover downloaded twice daily
22. Data Acquisition – TRMM Satellite
Precipitation
22
DataAcquisitionSystem
Near Real time Precipitation data downloaded at 3 hours interval
23. Data Flow
• Telemetry data received from DAS system every hour
• Scheduled scripts
• Run every hour to read data
• Filter and populate into database software
• Scheduled Download using Scripts
• IMD rainfall and Temperatures, TRMM and MODIS imageries
• Automatic Email Attachment download scheduled
• Reads RIMES forecast from email
• Reads manual data received by email
• All the data populated into database in structured time series hierarchy
23
Database
24. Modeling - Process
24
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
Models
25. 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
25
Simulation Period
Forecast Period
Models
27. Outreach Activities
• SMS and Email Alerts
• Website based on Dashboard
• Real Time manager Interface
• Trainings and Workshops
• Skill Enhancements
27
Dissemination
32. POST PROJECT PLAN
• O & M RTDSS FOR TWO YEARS UNDER PROCESS
• TWO YEARS WARRANTY AND O&M FOR DAS
• THREE YEARS WARRANTY AND O&M HARDWARE
32
LessonsLearned
