1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA...

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1

DEVELOPMENT OF RTDSS FOR RIVER SATLUJ AND

BEAS

2

3

4

DATA ACQUISITION

DATA PROCESSING

DATA MODELLING

VALUE ADDITION

JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING

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)

6

OLD MANUAL AND NEW AUTOMATIC FULL CLIMATIC STATION AT KALPA

7

OLD MANUAL CLIMATIC STATION AND SWE AT RAKCHAM REPLACED BY SNOW SENSOR AND FULL AUTOMATIC CLIMATIC STATION

8

THE HYDRO METEROLGICAL STATIONS AT KAZA WAS REPLACED WITH SNOW PILLOW SNOW DEPTH SENSOR AND FULL CLIMATIC

STATION

9

THE CHANGED LOCATION AND INSTRUMENTATION OF LOHAND RAINGAUGE

10

NEW STATIONS AT CHUMAR AND TSO MURARI

11

ADCP IN OPERATION - RAMPUR

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

RAINFALL RUNOFF MODEL

PRECIPITATION

TEMPERATURE

SNOW ACCUMULATION

RUNOFF

HYDRODYNAMIC MODEL

RUNOFF

INFLOW TO RESERVOIR

RIVER PROFILE(velocity, discharge, level)

14

FLOOD MODEL

RAINFALL

RELEASES FROM RESERVOIRS

INUNDATION DEPTHSFLOODING EXTENT

WATER ALLOCATION

MODEL

RELEASES FROM DAMS

SHARE/DEMAND

ALLOCATION TO DIFFERENT STATESSURPLUS/DEFICIT

RECESSION TIMES

WATER ACCOUNTING

15

RR AND HD MODELLED INFLOWS AT BHAKRA DAM

OBSERVED

SIMULATED

FLOW

PRECIPITATION

SWE

TEMPERATURE

16

RR AND HD MODELLED INFLOWS AT PONG DAM

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

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6:00

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4 6:

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4 6:

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6:00

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4 6:

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6:00

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4 6:

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014

6:00

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/201

4 6:

006/

30/2

014

6:00

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2014

6:0

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4/20

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2014

6:0

07/

8/20

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:00

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/201

4 6:

007/

12/2

014

6:00

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/201

4 6:

007/

16/2

014

6:00

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/201

4 6:

007/

20/2

014

6:00

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/201

4 6:

007/

24/2

014

6:00

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/201

4 6:

007/

28/2

014

6:00

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/201

4 6:

008/

1/20

14 6

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8/3/

2014

6:0

08/

5/20

14 6

:00

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2014

6:0

08/

9/20

14 6

:00

8/11

/201

4 6:

008/

13/2

014

6:00

8/15

/201

4 6:

008/

17/2

014

6:00

8/19

/201

4 6:

008/

21/2

014

6:00

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/201

4 6:

008/

25/2

014

6:00

8/27

/201

4 6:

008/

29/2

014

6:00

8/31

/201

4 6:

009/

2/20

14 6

:00

9/4/

2014

6:0

09/

6/20

14 6

:00

9/8/

2014

6:0

09/

10/2

014

6:00

9/12

/201

4 6:

009/

14/2

014

6:00

9/16

/201

4 6:

009/

18/2

014

6:00

9/20

/201

4 6:

009/

22/2

014

6:00

9/24

/201

4 6:

009/

26/2

014

6:00

9/28

/201

4 6:

009/

30/2

014

6:00

10/2

/201

4 6:

0010

/4/2

014

6:00

10/6

/201

4 6:

0010

/8/2

014

6:00

10/1

0/20

14 6

:00

10/1

2/20

14 6

:00

10/1

4/20

14 6

:00

10/1

6/20

14 6

:00

10/1

8/20

14 6

:00

10/2

0/20

14 6

:00

10/2

2/20

14 6

:00

10/2

4/20

14 6

:00

10/2

6/20

14 6

:00

10/2

8/20

14 6

:00

10/3

0/20

14 6

:00

11/1

/201

4 6:

0011

/3/2

014

6:00

11/5

/201

4 6:

0011

/7/2

014

6:00

11/9

/201

4 6:

0011

/11/

2014

6:0

011

/13/

2014

6:0

011

/15/

2014

6:0

011

/17/

2014

6:0

011

/19/

2014

6:0

011

/21/

2014

6:0

011

/23/

2014

6:0

011

/25/

2014

6:0

011

/27/

2014

6:0

011

/29/

2014

6:0

012

/1/2

014

6:00

12/3

/201

4 6:

0012

/5/2

014

6:00

12/7

/201

4 6:

0012

/9/2

014

6:00

12/1

1/20

14 6

:00

12/1

3/20

14 6

:00

12/1

5/20

14 6

:00

12/1

7/20

14 6

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12/1

9/20

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:00

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1/20

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3/20

14 6

:00

12/2

5/20

14 6

:00

12/2

7/20

14 6

:00

12/2

9/20

14 6

:00

0.0

500.0

1000.0

1500.0

2000.0

2500.0

Bhakra Inflow: Observed VS 24 Hour forecast

Observed Runoff (m^3/s) 24Hour Forecast

206/

3/20

14 6

:00

6/5/

2014

6:0

06/

7/20

14 6

:00

6/9/

2014

6:0

06/

11/2

014

6:00

6/13

/201

4 6:

006/

15/2

014

6:00

6/17

/201

4 6:

006/

19/2

014

6:00

6/21

/201

4 6:

006/

23/2

014

6:00

6/25

/201

4 6:

006/

27/2

014

6:00

6/29

/201

4 6:

007/

1/20

14 6

:00

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2014

6:0

07/

5/20

14 6

:00

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2014

6:0

07/

9/20

14 6

:00

7/11

/201

4 6:

007/

13/2

014

6:00

7/15

/201

4 6:

007/

17/2

014

6:00

7/19

/201

4 6:

007/

21/2

014

6:00

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/201

4 6:

007/

25/2

014

6:00

7/27

/201

4 6:

007/

29/2

014

6:00

7/31

/201

4 6:

008/

2/20

14 6

:00

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2014

6:0

08/

6/20

14 6

:00

8/8/

2014

6:0

08/

10/2

014

6:00

8/12

/201

4 6:

008/

14/2

014

6:00

8/16

/201

4 6:

008/

18/2

014

6:00

8/20

/201

4 6:

008/

22/2

014

6:00

8/24

/201

4 6:

008/

26/2

014

6:00

8/28

/201

4 6:

008/

30/2

014

6:00

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2014

6:0

09/

3/20

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:00

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2014

6:0

09/

7/20

14 6

:00

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2014

6:0

09/

11/2

014

6:00

9/13

/201

4 6:

009/

15/2

014

6:00

9/17

/201

4 6:

009/

19/2

014

6:00

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/201

4 6:

009/

23/2

014

6:00

9/25

/201

4 6:

009/

27/2

014

6:00

9/29

/201

4 6:

0010

/1/2

014

6:00

10/3

/201

4 6:

0010

/5/2

014

6:00

10/7

/201

4 6:

0010

/9/2

014

6:00

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1/20

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1/20

14 6

:00

11/2

/201

4 6:

0011

/4/2

014

6:00

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/201

4 6:

0011

/8/2

014

6:00

11/1

0/20

14 6

:00

11/1

2/20

14 6

:00

11/1

4/20

14 6

:00

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6/20

14 6

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14 6

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14 6

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14 6

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14 6

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11/2

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14 6

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14 6

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0/20

14 6

:00

12/2

/201

4 6:

0012

/4/2

014

6:00

12/6

/201

4 6:

0012

/8/2

014

6:00

12/1

0/20

14 6

:00

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2/20

14 6

:00

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4/20

14 6

:00

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0/20

14 6

:00

0.0

500.0

1000.0

1500.0

2000.0

2500.0

Bhakra Inflow: Observed VS 48 Hour forecast

Observed Runoff (m^3/s) 48 Hour Forecast

Runo

ff (m

3̂/s)

216/

4/20

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:00

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/201

4 6:

006/

12/2

014

6:00

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/201

4 6:

006/

16/2

014

6:00

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/201

4 6:

006/

20/2

014

6:00

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/201

4 6:

006/

24/2

014

6:00

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/201

4 6:

006/

28/2

014

6:00

6/30

/201

4 6:

007/

2/20

14 6

:00

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6:0

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6/20

14 6

:00

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6:0

07/

10/2

014

6:00

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/201

4 6:

007/

14/2

014

6:00

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/201

4 6:

007/

18/2

014

6:00

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/201

4 6:

007/

22/2

014

6:00

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/201

4 6:

007/

26/2

014

6:00

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/201

4 6:

007/

30/2

014

6:00

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2014

6:0

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3/20

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:00

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6:0

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7/20

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6:0

08/

11/2

014

6:00

8/13

/201

4 6:

008/

15/2

014

6:00

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/201

4 6:

008/

19/2

014

6:00

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/201

4 6:

008/

23/2

014

6:00

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/201

4 6:

008/

27/2

014

6:00

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/201

4 6:

008/

31/2

014

6:00

9/2/

2014

6:0

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4/20

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:00

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6:0

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/201

4 6:

009/

12/2

014

6:00

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/201

4 6:

009/

16/2

014

6:00

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/201

4 6:

009/

20/2

014

6:00

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/201

4 6:

009/

24/2

014

6:00

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/201

4 6:

009/

28/2

014

6:00

9/30

/201

4 6:

0010

/2/2

014

6:00

10/4

/201

4 6:

0010

/6/2

014

6:00

10/8

/201

4 6:

0010

/10/

2014

6:0

010

/12/

2014

6:0

010

/14/

2014

6:0

010

/16/

2014

6:0

010

/18/

2014

6:0

010

/20/

2014

6:0

010

/22/

2014

6:0

010

/24/

2014

6:0

010

/26/

2014

6:0

010

/28/

2014

6:0

010

/30/

2014

6:0

011

/1/2

014

6:00

11/3

/201

4 6:

0011

/5/2

014

6:00

11/7

/201

4 6:

0011

/9/2

014

6:00

11/1

1/20

14 6

:00

11/1

3/20

14 6

:00

11/1

5/20

14 6

:00

11/1

7/20

14 6

:00

11/1

9/20

14 6

:00

11/2

1/20

14 6

:00

11/2

3/20

14 6

:00

11/2

5/20

14 6

:00

11/2

7/20

14 6

:00

11/2

9/20

14 6

:00

12/1

/201

4 6:

0012

/3/2

014

6:00

12/5

/201

4 6:

0012

/7/2

014

6:00

12/9

/201

4 6:

0012

/11/

2014

6:0

012

/13/

2014

6:0

012

/15/

2014

6:0

012

/17/

2014

6:0

012

/19/

2014

6:0

012

/21/

2014

6:0

012

/23/

2014

6:0

012

/25/

2014

6:0

012

/27/

2014

6:0

012

/29/

2014

6:0

012

/31/

2014

6:0

0

0.0

500.0

1000.0

1500.0

2000.0

2500.0

Bhakra Inflow: Observed VS 72 Hour forecast

Observed Runoff (m^3/s) 72 Hour Forecast

Runo

ff (m

3̂/s)

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

23

FLOOD MODELLING

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

28

BBMB – CONTROL ROOM

29

DASHBOARD

30

EMAIL

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

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