THE MINISTER OF STATE FOR JAL SHAKTI & SOCIAL JUSTICE AND EMPOWERMENT
(SHRI RATTAN LAL KATARIA)
(a) The schemes for flood control and anti-erosion works are formulated and implemented by concerned States as per their priority. The Union Government supplements the efforts of the States by providing technical guidance and also promotional financial assistance for management of floods in critical areas. Government of India launched Flood Management Programme (FMP) during XI Plan for providing financial assistance to the State Governments for taking up works related to river management, flood control, anti-erosion, drainage development, flood proofing works, restoration of damaged flood management works and anti-sea erosion works which was continued during XII Plan and further extended up to March 2021 as a component under Flood Management and Border Areas Programme (FMBAP). State-wise central assistance released to States/UTs under FMBAP during the last three years is at Annexure-I.
(b) Central Water Commission (CWC) has established a flood forecasting network across the country and issues flood forecasts at 328 locations (198 Level Forecast for Villages/Town on the bank of the rivers and 130 Inflow Forecast Stations for Dams and Barrages) in various parts of the country. There are 43 stations in Bihar and 44 Stations in Uttar Pradesh for which forecasts are issued for taking proper mitigation measures by respective State Governments. The State-wise details are given in Annexure-II
(c) Flood Forecasts are evaluated on the following criteria-
Level Forecast: If the forecasted level is within +/-0.15 m of the actual level attained at the time of forecast, then the forecast is taken as correct.
Inflow Forecast: If the forecasted inflow is within +/- 20% of the actual inflows attained in the reservoir the forecast is taken as correct.
The overall accuracy of Flood Forecasts issued by CWC during the last 5 years is 94%, details are given in Annexure –III.
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ANNEXURE-I
ANNEXURE REFERRED TO IN REPLY TO PART (a) OF UNSTARRED QUESTION NO.2052 TO BE ANSWERED IN LOK SABHA ON 22.09.2020 REGARDING “FLOOD MANAGEMENT”
State-wise central assistance released to States/UTs under Flood Management and Border Areas Programme (FMBAP) during last three years
Rs in crores
S. No.
States
2017-18
2018-19
2019-20
Total funds released
1 Arunachal Pradesh 21.18 0 0 21.18
Assam 245.49 142.12 85.03 472.64
2 Bihar 52.57 132.27 65.29 250.13
3 Himachal Pradesh 87.5 162.6 176.41 426.51
4 Jammu & Kashmir 119.17 55.0325 97.058 271.2605
5 Kerala 19.05 0 0 19.05
6 Mizoram 0.48 0 0 0.48
7 Nagaland 0 10.84 0 10.84
8 Uttar Pradesh 103.98 87.87 39.15 231
9 Uttarakhand 0 4.63 35.58 40.21
10 Punjab 7.4725 0 0 7.4725
11 West Bengal 65.03 89.3 117.12 271.45
Total 721.923 684.663 615.638 2022.223
ANNEXURE-II
ANNEXURE REFERRED TO IN REPLY TO PART (b) OF UNSTARRED QUESTION NO.2052 TO BE ANSWERED IN LOK SABHA ON 22.09.2020 REGARDING “FLOOD MANAGEMENT”
State-wise Flood Forecasting Stations of Central Water Commission
S.No State Level
Stations Inflow
Stations Total
Stations
1 Andhra Pradesh 10 10 20
2 Arunachal Pradesh 3 0 3
3 Assam 30 0 30
4 Bihar 40 3 43
5 Chhattisgarh 1 2 3
6 Gujarat 6 7 13
7 Haryana 1 1 2
8 Himachal Pradesh 1 0 1
9 Jharkhand 2 15 17
10 Karnataka 1 14 15
11 Kerala 3 2 5
12 Madhya Pradesh 2 10 12
13 Maharashtra 8 13 21
14 Odisha 12 7 19
15 Rajasthan 3 11 14
16 Sikkim 3 5 8
17 Tamil Nadu 4 11 15
18 Telangana 5 8 13
19 Tripura 2 0 2
20 Uttar Pradesh 39 5 44
21 Uttarakhand 4 2 6
22 West Bengal 12 4 16
23 Jammu and Kashmir 3 0 3
24 NCT Delhi 2 0 2
25 Daman & Diu 1 0 1
Total 198 130 328
ANNEXURE-III
ANNEXURE REFERRED TO IN REPLY TO PART (c) OF UNSTARRED QUESTION NO.2052 TO BE ANSWERED IN LOK SABHA ON 22.09.2020 REGARDING “FLOOD MANAGEMENT”
Flood Forecasting performance from 2015 to 2019
Year
Number of Level Forecasts issued
Number of Inflow Forecasts issued Total Number of Forecasts issued
Total
Within +/-15 cm of deviation from actual
Accuracy (%)
Total
Within +/-20% cumec of deviation from actual
Accuracy (%)
Total Within +/-15 cm or +/-20% cumec of deviation from actual Accuracy (%)
2015
3500 3429 97.97 572 562 98.25 4072 3991 98.01
2016 4969 4891 98.43 1270 1057 83.23 6239 5948 95.34
2017 5085 4975 97.84 1212 926 76.40 6297 5901 93.71
2018 4969 4871 98.03 1882 1624 86.29 6851 6495 94.80
2019 6004 5773 96.15 3750 2678 71.41 9754 8451 86.64
Average 4905 4788 98 1737 1369 83 6643 6157 94
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