1
2
3
4
JOURNEY OF RTDSS FROM DATA
COLLECTION TO DECISION MAKING
DATA
ACQUISITION
DATA
PROCESSING
VALUE
ADDITION
DATA
MODELLING
5
DATA ACQUISITION
 HISTORICAL DATA
 REAL TIME DATA
1. TELEMETRY (DAS AND EXISTING BBMB NETWORK – POINT DATA)
2. TRMM (PRECIPITATION – 27X27 KM2 GRIDS)
3. IMD (PRECIPITATION, TEMPERATURE – POINT DATA)
4. MODIS (SNOW IMAGERIES – 500 M RESOLUTION)
 FORECAST
1. NCMRWF (PRECIPITATION, TEMPERATURE – 9X9 KM2 GRIDS)
OLD MANUAL AND NEW AUTOMATIC FULL CLIMATIC STATION AT KALPA
6
OLD MANUAL CLIMATIC STATION AND SWE AT RAKCHAM REPLACED BY SNOW SENSOR AND
FULL AUTOMATIC CLIMATIC STATION
7
THE HYDRO METEROLGICAL STATIONS AT KAZA WAS REPLACED WITH SNOW
PILLOW SNOW DEPTH SENSOR AND FULL CLIMATIC STATION
8
THE CHANGED LOCATION AND INSTRUMENTATION OF LOHAND RAINGAUGE
9
NEW STATIONS AT CHUMAR AND TSO MURARI
10
ADCP IN OPERATION - RAMPUR
11
12
DATA PROCESSING
 DATA FORMAT
1.
POINT OR GRID WISE DATA TO CATCHMENT AVERAGE
2.
DIFFERENT DATA TYPES LIKE NetCDF TO dfs0 OR TEXT TO dfs0
 QUALITY ASSURANCE
1.
INSANITY CHECKS
2.
SETTING MIN-MAX LIMITS
3.
GAP FILLING IN CASE OF MISSING DATA VALUES
 DATA STORAGE AND SECURITY
1.
STRUCTURED STORAGE OF RAW AND PROCESSED DATA
2.
BACK UP OF STORED DATA (DAILY, WEEKLY, MONTHLY AND PERMANENT TO TAPE LIBRARIES)
3.
PASSWORD RESTRICTED ACCESS
4.
SYSTEM FIREWALL MONITORED ACCESS
5.
VIRTUAL PRIVATE NETWORKING FOR REMOTE USERS
13
DATA MODELLING
SNOW
ACCUMULATION
PRECIPITATION
TEMPERATURE
RAINFALL RUNOFF
MODEL
RUNOFF
INFLOW TO
RESERVOIR
RUNOFF
HYDRODYNAMIC
MODEL
RIVER PROFILE
(velocity, discharge, level)
14
INUNDATION DEPTHS
RAINFALL
RELEASES FROM
RESERVOIRS
RELEASES FROM
DAMS
SHARE/DEMAND
FLOOD MODEL
FLOODING EXTENT
RECESSION TIMES
ALLOCATION TO
DIFFERENT STATES
WATER
ALLOCATION
MODEL
SURPLUS/DEFICIT
WATER ACCOUNTING
RR AND HD MODELLED INFLOWS AT BHAKRA DAM
15
FLOW
PRECIPITATION
OBSERVED
SWE
TEMPERATURE
SIMULATED
RR AND HD MODELLED INFLOWS AT PONG DAM
16
OBSERVED
SIMULATED
17
SHORT TERM FORECASTS
 72 HOURS INFLOW FORECASTS TO RESERVOIRS FROM THE PRECIPITATION
AND TEMPERATURE FORECAST DATA
 RESERVOIR OPERATIONS AND ROUTING OF FLOODS DURING PEAK
MONSOONS
 OPEARTION OF SMALL RESERVOIRS, DAMS, POWER STATIONS FOR REPAIR,
EMERGENT DIVERSIONS, PEAK GENERATION, DREDGING ETC.
 TRAVEL TIME DOWNSTREAM IMMEDIATELY COMMUNICATED IN CASE OF
FLASH FLOODS
18
LONG TERM FORECASTS
 FOR RESERVOIR MANAGEMENT FROM APRIL TO JUNE
 EARLIER NRSC HYDERABAD USING BBMB’S PRECIPITAION AND TEMPERATURE
DATA PROVIDED FORTNIGHTLY SNOW MELT RUNOFF FOR THE ABOVE
MENTIONED PERIOD
 RTDSS HELP EQUIP BBMB WITH MORE ACCURATE SNOW ACCUMULATION
ESTIMATIONS
Observed Runoff (m^3/s)
24Hour Forecast
12/29/2014
12/22/2014
12/15/2014
12/8/2014
12/1/2014
11/24/2014
11/17/2014
11/10/2014
11/3/2014
10/27/2014
10/20/2014
10/13/2014
10/6/2014
9/29/2014
9/22/2014
9/15/2014
9/8/2014
9/1/2014
8/25/2014
8/18/2014
8/11/2014
8/4/2014
7/28/2014
7/21/2014
7/14/2014
7/7/2014
6/30/2014
6/23/2014
6/16/2014
6/9/2014
6/2/2014
Bhakra Inflow: Observed VS 24 Hour forecast
2500.0
19
2000.0
1500.0
1000.0
500.0
0.0
Observed Runoff (m^3/s)
48 Hour Forecast
12/30/2014
12/23/2014
12/16/2014
12/9/2014
12/2/2014
11/25/2014
11/18/2014
11/11/2014
11/4/2014
10/28/2014
10/21/2014
10/14/2014
10/7/2014
9/30/2014
9/23/2014
9/16/2014
9/9/2014
9/2/2014
8/26/2014
8/19/2014
8/12/2014
8/5/2014
7/29/2014
7/22/2014
7/15/2014
7/8/2014
7/1/2014
6/24/2014
6/17/2014
6/10/2014
6/3/2014
Runoff (m^3/s)
Bhakra Inflow: Observed VS 48 Hour forecast
2500.0
20
2000.0
1500.0
1000.0
500.0
0.0
Observed Runoff (m^3/s)
72 Hour Forecast
12/31/2014
12/24/2014
12/17/2014
12/10/2014
12/3/2014
11/26/2014
11/19/2014
11/12/2014
11/5/2014
10/29/2014
10/22/2014
10/15/2014
10/8/2014
10/1/2014
9/24/2014
9/17/2014
9/10/2014
9/3/2014
8/27/2014
8/20/2014
8/13/2014
8/6/2014
7/30/2014
7/23/2014
7/16/2014
7/9/2014
7/2/2014
6/25/2014
6/18/2014
6/11/2014
6/4/2014
Runoff (m^3/s)
Bhakra Inflow: Observed VS 72 Hour forecast
2500.0
21
2000.0
1500.0
1000.0
500.0
0.0
22
FLOOD WARNING
 FLOOD WARNING BASED ON REAL TIME OUTPUT OF HD MODEL
 ACCURACY AND EFFICACY DEPENDS ON DEM, XSECTION, STRUCTURE
DETAILS, GROUND REALITIES AND MORPHOLOGY OF FLOOD PLAIN
FLOOD MODELLING
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24
25
GENERAL BENEFITS
 HOLISTIC APPROACH
 DYNAMIC NATURE
 INSTANTANEOUS DISSEMINATION OF INFORMATION
METEOROLOGICAL
INFORMATION
(precipitation,
temperature etc.)
HYDROLOGICAL
INFORMATION
(runoff, water levels etc.)
DECISION
MAKING
(releases, flood
warnings etc.)
26
TECHNOLOGICAL IMPROVEMENTS
 MACHINE HAS SUPPLEMENTED MAN
 LATEST EQUIPMENTS FOR HYDROMETEOROGICAL SETUP
 OBSERVATIONS DURING EXTREME WEATHER CONDITIONS
 FULL COVERAGE OF BBMB NETWORK AREA
 QUICKER MULTIPLE SCENARIO GENERATIONS
 REQUEST ON A CLICK OF BUTTON
 TRANSPARENCY
 PUBLIC DOMAIN
 TRAINING OF MANPOWER
 SKILL ENHANCEMENT/ INTERNATIONAL EXPOSURE
 COMPUTERIZED DOCUMENTATION
27
DISSEMINATION OF INFORMATION
 DASHBOARD
 EMAIL/SMS OF FORECAST
BBMB – CONTROL ROOM
28
DASHBOARD
29
EMAIL
30
31
FUTURE SCOPE
 STRENGTHEN TRANSMISSION THROUGH ALTERNATE SOURCES
 SURVEYS NEAR THE RIVERS FOR CROSS SECTIONS AND DEM LIKE LIDAR, 3D
ETC.
 DENSIFICATION OF NETWORK
 SEDIMENTATION REAL TIME MONITORING