A collaboration agreement between Google and Central Water Commission (CWC) was signed for a period of 3 years effective from 2nd June 2018. Under the agreement, the Parties agreed to share technical expertise in the fields of artificial intelligence, machine learning, geospatial mapping and analysis of hydrological observation data to collaborate on (i) improving flood prediction systems, which will help provide location-targeted, actionable flood warnings (the “Flood Forecasting initiative”); (ii) a high priority research project on the Google Earth Engine (“Earth Engine Project”); and (iii) a cultural project to build online exhibitions on the rivers of India (the “Culture Project”).
The details of State/UT-wise flood forecasting stations are given below :
|
State/UT-wise Flood Forecasting Stations |
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|
Sl. No. |
Name of State/ UT |
Number of Flood Forecasting Stations |
||
|
|
|
Level |
Inflow |
Total |
|
1 |
Andhra Pradesh |
10 |
10 |
20 |
|
2 |
Arunachal Pradesh |
3 |
1 |
4 |
|
3 |
Assam |
30 |
0 |
30 |
|
4 |
Bihar |
40 |
3 |
43 |
|
5 |
Chhattisgarh |
1 |
2 |
3 |
|
6 |
Gujarat |
6 |
8 |
14 |
|
7 |
Haryana |
1 |
1 |
2 |
|
8 |
Himachal Pradesh |
1 |
0 |
1 |
|
9 |
Jammu & Kashmir |
3 |
0 |
3 |
|
10 |
Jharkhand |
2 |
15 |
17 |
|
11 |
Karnataka |
1 |
14 |
15 |
|
12 |
Kerela |
4 |
2 |
6 |
|
13 |
Madhya Pradesh |
2 |
12 |
14 |
|
14 |
Maharashtra |
8 |
14 |
22 |
|
15 |
Odisha |
12 |
7 |
19 |
|
16 |
Rajasthan |
4 |
11 |
15 |
|
17 |
Sikkim |
3 |
5 |
8 |
|
18 |
Tamil Nadu |
4 |
11 |
15 |
|
19 |
Telangana |
5 |
9 |
14 |
|
20 |
Tripura |
2 |
0 |
2 |
|
21 |
Uttar Pradesh |
39 |
5 |
44 |
|
22 |
Uttarakhand |
4 |
4 |
8 |
|
23 |
West Bengal |
12 |
4 |
16 |
|
24 |
Daman & Diu |
1 |
0 |
1 |
|
25 |
NCT of Delhi |
2 |
0 |
2 |
|
|
Total |
200 |
138 |
338 |
CWC issues short range (upto 24 hours) flood forecast based on gauge to gauge correlation and medium range (upto 7 days) advisory flood forecast based on models to the concerned stakeholders at 338 stations (200 Level Forecast Stations + 138 Inflow Forecast Stations) across the country, including the State of Haryana. The dissemination of flood forecasts is done through dedicated web-portals, social media, flood bulletins, emails etc.
CWC maintains 2 Flood Forecasting Stations in Haryana: 1 Level Forecasting Station and 1 Inflow Forecasting Station in river Yamuna.
|
Flood Forecasting Information in Haryana |
|
|
|
|
Name of the river |
Name of FF site |
District |
Basin Name |
|
2 |
3 |
4 |
5 |
|
Yamuna |
Karnal Bridge (Level) |
Karnal |
Ganga & its tributaries |
|
Yamuna |
Tajewala Weir (Hathnikund) (Inflow) |
Yamunanagar |
Ganga & its tributaries |
Further, there are 10 Hydrological Observation (HO) stations in Haryana.
The accuracy of the forecast depends upon many factors such as rainfall forecast, structure operation and drainage congestion. Generally higher lead time forecasts have relatively lower accuracy than shorter lead time forecasts.
This information was given by the Minister of State for Jal Shakti, Shri Bishweswar Tudu in a written reply in Lok Sabha today.
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AS