31
1 DEVELOPMENT OF RTDSS FOR RIVER SATLUJ AND BEAS

1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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Page 1: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

1

DEVELOPMENT OF RTDSS FOR RIVER SATLUJ AND

BEAS

Page 2: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

2

Page 3: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

3

Page 4: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

4

DATA ACQUISITION

DATA PROCESSING

DATA MODELLING

VALUE ADDITION

JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING

Page 5: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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)

Page 6: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

6

OLD MANUAL AND NEW AUTOMATIC FULL CLIMATIC STATION AT KALPA

Page 7: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

7

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

Page 8: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

8

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

STATION

Page 9: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

9

THE CHANGED LOCATION AND INSTRUMENTATION OF LOHAND RAINGAUGE

Page 10: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

10

NEW STATIONS AT CHUMAR AND TSO MURARI

Page 11: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

11

ADCP IN OPERATION - RAMPUR

Page 12: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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

Page 13: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

13 DATA MODELLING

RAINFALL RUNOFF MODEL

PRECIPITATION

TEMPERATURE

SNOW ACCUMULATION

RUNOFF

HYDRODYNAMIC MODEL

RUNOFF

INFLOW TO RESERVOIR

RIVER PROFILE(velocity, discharge, level)

Page 14: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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

Page 15: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

15

RR AND HD MODELLED INFLOWS AT BHAKRA DAM

OBSERVED

SIMULATED

FLOW

PRECIPITATION

SWE

TEMPERATURE

Page 16: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

16

RR AND HD MODELLED INFLOWS AT PONG DAM

OBSERVED

SIMULATED

Page 17: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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

Page 18: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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

Page 19: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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6:00

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6:00

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6:00

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6:00

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6:00

7/2/

2014

6:0

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4/20

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2014

6:0

07/

8/20

14 6

:00

7/10

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4 6:

007/

12/2

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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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6:00

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4 6:

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6:00

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4 6:

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6:00

7/30

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4 6:

008/

1/20

14 6

:00

8/3/

2014

6:0

08/

5/20

14 6

:00

8/7/

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

8/23

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4 6:

008/

25/2

014

6:00

8/27

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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

14 6

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12/2

1/20

14 6

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12/2

3/20

14 6

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12/2

5/20

14 6

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12/2

7/20

14 6

:00

12/2

9/20

14 6

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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

Page 20: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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3/20

14 6

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6/5/

2014

6:0

06/

7/20

14 6

:00

6/9/

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6:0

06/

11/2

014

6:00

6/13

/201

4 6:

006/

15/2

014

6:00

6/17

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4 6:

006/

19/2

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6:00

6/21

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4 6:

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6:00

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4 6:

006/

27/2

014

6:00

6/29

/201

4 6:

007/

1/20

14 6

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7/3/

2014

6:0

07/

5/20

14 6

:00

7/7/

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

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4 6:

007/

21/2

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6:00

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4 6:

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25/2

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6:00

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4 6:

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29/2

014

6:00

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4 6:

008/

2/20

14 6

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8/4/

2014

6:0

08/

6/20

14 6

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6:0

08/

10/2

014

6:00

8/12

/201

4 6:

008/

14/2

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6:00

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4 6:

008/

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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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6:00

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014

6:00

9/1/

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3/20

14 6

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6:0

09/

7/20

14 6

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6:0

09/

11/2

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6:00

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/201

4 6:

009/

15/2

014

6:00

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4 6:

009/

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6:00

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4 6:

009/

23/2

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6:00

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/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

10/1

1/20

14 6

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10/1

3/20

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10/1

5/20

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10/1

7/20

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10/2

7/20

14 6

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10/2

9/20

14 6

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10/3

1/20

14 6

:00

11/2

/201

4 6:

0011

/4/2

014

6:00

11/6

/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

11/1

6/20

14 6

:00

11/1

8/20

14 6

:00

11/2

0/20

14 6

:00

11/2

2/20

14 6

:00

11/2

4/20

14 6

:00

11/2

6/20

14 6

:00

11/2

8/20

14 6

:00

11/3

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

12/1

2/20

14 6

:00

12/1

4/20

14 6

:00

12/1

6/20

14 6

:00

12/1

8/20

14 6

:00

12/2

0/20

14 6

:00

12/2

2/20

14 6

:00

12/2

4/20

14 6

:00

12/2

6/20

14 6

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12/2

8/20

14 6

:00

12/3

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)

Page 21: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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6:00

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6:00

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6:00

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2/20

14 6

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7/4/

2014

6:0

07/

6/20

14 6

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7/8/

2014

6:0

07/

10/2

014

6:00

7/12

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4 6:

007/

14/2

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6:00

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007/

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6:00

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6:00

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6:00

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30/2

014

6:00

8/1/

2014

6:0

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3/20

14 6

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8/5/

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6:0

08/

7/20

14 6

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8/9/

2014

6:0

08/

11/2

014

6:00

8/13

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4 6:

008/

15/2

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6:00

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6:00

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6:00

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6:00

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4 6:

008/

31/2

014

6:00

9/2/

2014

6:0

09/

4/20

14 6

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9/6/

2014

6:0

09/

8/20

14 6

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9/10

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4 6:

009/

12/2

014

6:00

9/14

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009/

16/2

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6:00

9/18

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4 6:

009/

20/2

014

6:00

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4 6:

009/

24/2

014

6:00

9/26

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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)

Page 22: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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

Page 23: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

23

FLOOD MODELLING

Page 24: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

24

Page 25: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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.)

Page 26: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

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

Page 27: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

27 DISSEMINATION OF INFORMATION

DASHBOARD

EMAIL/SMS OF FORECAST

Page 28: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

28

BBMB – CONTROL ROOM

Page 29: 1. 2 3 DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4

29

DASHBOARD

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30

EMAIL

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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