Increasing Groundwater Levels
Jal Shakti Abhiyan (JSA), a time-bound, mission mode water conservation campaign, was implemented in the July – November 2019 period, in only 1,592 blocks out of 2,836 blocks of 256 water-stressed districts of the country. These blocks fell under critical or over-exploited groundwater category, where groundwater was being exploited faster than it could be replenished. During JSA, five target interventions to promote water conservation and water resource management, viz. water conservation & rainwater harvesting, renovation of traditional & other water-bodies/tanks, reuse and recharge of bore-wells, watershed development and intensive afforestation etc were implemented. Huge public awareness in water conservation/harvesting was generated due to JSA and further, it has been observed that various stakeholders, viz. Government departments/agencies, NGOs, Panchayats, individuals etc. have started taking steps towards water conservation. The outcome of JSA is improved water conservation. Further, Central Ground Water Board is periodically monitoring the ground water levels throughout the Country on a regional scale, through a network of monitoring wells. In order to assess the decline in water level on a long-term basis, Pre-monsoon water level data collected by CGWB during November 2020 has been compared with the decadal average (2010-2019). Analysis of water level data (Annexure I) indicates that about 62% of the wells monitored have registered rise in ground water levels. Increase in ground water level is the cumulative effect of various factors including regulation and augmentation of ground water by the State and Central Government.
No specific study has been commissioned for the water scarcity crisis in the country. However, Dynamic Ground Water Resources of the country are periodically assessed jointly by Central Ground Water Board (CGWB) and State Governments. As per the 2017 assessment, out of the total 6881 assessment units (Block/ Taluks/ Mandals/ watersheds/ Firkas) in the country, 1186 units in 17 States/UTs have been categorized as ‘Over-exploited’ where the Annual Ground Water Extraction is more than Annual Extractable Ground Water Resource. 313 units have been categorized as ‘Critical’, 972 units as ‘Semi- critical.
Central Water Commission is monitoring live storage status of 130 reservoirs of the country on weekly basis and issues weekly bulletin on every Thursday. The total live storage capacity of these 130 reservoirs is 174.233 BCM which is about 67.58% of the live storage capacity of 257.812 BCM approximately.
This information was given by the Minister of State for Jal Shakti & Social Justice and Empowerment, Shri. Rattan Lal Kataria in a written reply in Rajya Sabha today.
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BY/AS
Annexure-I
Annexure referred to in reply to part (a) to (b) of Rajya Sabha Unstarred Question No.1520 to be answered on the 08.03.2021 regarding “Increasinggroundwaterlevels”.
State-wise Decadal Water Level Fluctuation with Mean [November (2010 to 2019] and November 2020
S. No. | Name of State | No. of wells Analysed | Rise | Fall | Rise | Fall | Wells showing no change | |||||||||||||
0-2 m | 2-4 m | >4 m | 0-2 m | 2-4 m | >4 m | |||||||||||||||
No | % | No | % | No | % | No | % | No | % | No | % | No | % | No | % | No | % | |||
1 | Andhra Pradesh | 688 | 395 | 57.4 | 92 | 13.4 | 38 | 5.5 | 146 | 21.2 | 12 | 1.7 | 5 | 0.7 | 525 | 76 | 163 | 24 | 0 | 0 |
2 | Arunachal Pradesh | 3 | 3 | 100.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 3 | 100 | 0 | 0 | 0 | 0 |
3 | Assam | 158 | 113 | 71.5 | 5 | 3.2 | 2 | 1.3 | 35 | 22.2 | 3 | 1.9 | 0 | 0.0 | 120 | 76 | 38 | 24 | 0 | 0 |
4 | Bihar | 536 | 284 | 53.0 | 41 | 7.6 | 4 | 0.7 | 184 | 34.3 | 17 | 3.2 | 6 | 1.1 | 329 | 61 | 207 | 39 | 0 | 0 |
5 | Chandigarh | 11 | 3 | 27.3 | 2 | 18.2 | 0 | 0.0 | 5 | 45.5 | 0 | 0.0 | 1 | 9.1 | 5 | 45 | 6 | 55 | 0 | 0 |
6 | Chhattisgarh | 700 | 261 | 37.3 | 41 | 5.9 | 15 | 2.1 | 312 | 44.6 | 53 | 7.6 | 18 | 2.6 | 317 | 45 | 383 | 55 | 0 | 0 |
7 | Dadra & Nagar Haveli # | 17 | 11 | 64.7 | 2 | 11.8 | 1 | 5.9 | 3 | 17.6 | 0 | 0.0 | 0 | 0.0 | 14 | 82 | 3 | 18 | 0 | 0 |
8 | Daman & Diu | 9 | 7 | 77.8 | 0 | 0.0 | 0 | 0.0 | 2 | 22.2 | 0 | 0.0 | 0 | 0.0 | 7 | 78 | 2 | 22 | 0 | 0 |
9 | Delhi | 80 | 11 | 13.8 | 3 | 3.8 | 4 | 5.0 | 31 | 38.8 | 19 | 23.8 | 12 | 15.0 | 18 | 23 | 62 | 78 | 0 | 0 |
10 | Goa | 65 | 7 | 10.8 | 0 | 0.0 | 1 | 1.5 | 50 | 76.9 | 7 | 10.8 | 0 | 0.0 | 8 | 12 | 57 | 88 | 0 | 0 |
11 | Gujarat | 736 | 279 | 37.9 | 93 | 12.6 | 116 | 15.8 | 179 | 24.3 | 49 | 6.7 | 20 | 2.7 | 488 | 66 | 248 | 34 | 0 | 0 |
12 | Haryana | 312 | 83 | 26.6 | 5 | 1.6 | 7 | 2.2 | 94 | 30.1 | 44 | 14.1 | 78 | 25.0 | 95 | 30 | 216 | 69 | 1 | 0 |
13 | Himachal Pradesh | 88 | 31 | 35.2 | 3 | 3.4 | 2 | 2.3 | 47 | 53.4 | 3 | 3.4 | 2 | 2.3 | 36 | 41 | 52 | 59 | 0 | 0 |
14 | Jammu & Kashmir | 163 | 42 | 25.8 | 3 | 1.8 | 2 | 1.2 | 106 | 65.0 | 9 | 5.5 | 1 | 0.6 | 47 | 29 | 116 | 71 | 0 | 0 |
15 | Jharkhand | 276 | 162 | 58.7 | 42 | 15.2 | 17 | 6.2 | 49 | 17.8 | 5 | 1.8 | 1 | 0.4 | 221 | 80 | 55 | 20 | 0 | 0 |
16 | Karnataka | 1316 | 632 | 48.0 | 181 | 13.8 | 123 | 9.3 | 325 | 24.7 | 33 | 2.5 | 22 | 1.7 | 936 | 71 | 380 | 29 | 0 | 0 |
17 | Kerala | 1334 | 537 | 40.3 | 24 | 1.8 | 6 | 0.4 | 738 | 55.3 | 23 | 1.7 | 6 | 0.4 | 567 | 43 | 767 | 57 | 0 | 0 |
18 | Madhya Pradesh | 1294 | 594 | 45.9 | 160 | 12.4 | 43 | 3.3 | 372 | 28.7 | 83 | 6.4 | 42 | 3.2 | 797 | 62 | 497 | 38 | 0 | 0 |
19 | Maharashtra** | 3611 | 1815 | 50.3 | 592 | 16.4 | 262 | 7.3 | 869 | 24.1 | 53 | 1.5 | 20 | 0.6 | 2669 | 74 | 942 | 26 | 0 | 0 |
20 | Meghalaya | 23 | 13 | 56.5 | 1 | 4.3 | 0 | 0.0 | 9 | 39.1 | 0 | 0.0 | 0 | 0.0 | 14 | 61 | 9 | 39 | 0 | 0 |
21 | Nagaland | 2 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 1 | 50.0 | 1 | 50.0 | 0 | 0.0 | 0 | 0 | 2 | 100 | 0 | 0 |
22 | Odhisha | 1204 | 762 | 63.3 | 47 | 3.9 | 6 | 0.5 | 366 | 30.4 | 19 | 1.6 | 3 | 0.2 | 815 | 68 | 388 | 32 | 1 | 0 |
23 | Pondicherry | 6 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 4 | 66.7 | 2 | 33.3 | 0 | 0.0 | 0 | 0 | 6 | 100 | 0 | 0 |
24 | Punjab | 250 | 55 | 22.0 | 10 | 4.0 | 3 | 1.2 | 89 | 35.6 | 38 | 15.2 | 54 | 21.6 | 68 | 27 | 181 | 72 | 1 | 0 |
25 | Rajasthan | 962 | 271 | 28.2 | 89 | 9.3 | 69 | 7.2 | 288 | 29.9 | 105 | 10.9 | 137 | 14.2 | 429 | 45 | 530 | 55 | 3 | 0 |
26 | Tamil Nadu | 629 | 211 | 33.5 | 64 | 10.2 | 44 | 7.0 | 192 | 30.5 | 55 | 8.7 | 62 | 9.9 | 319 | 51 | 309 | 49 | 1 | 0 |
27 | Telangana | 549 | 200 | 36.4 | 121 | 22.0 | 177 | 32.2 | 45 | 8.2 | 3 | 0.5 | 3 | 0.5 | 498 | 91 | 51 | 9 | 0 | 0 |
28 | Tripura | 21 | 18 | 85.7 | 0 | 0.0 | 0 | 0.0 | 2 | 9.5 | 1 | 4.8 | 0 | 0.0 | 18 | 86 | 3 | 14 | 0 | 0 |
29 | Uttar Pradesh | 632 | 264 | 41.8 | 43 | 6.8 | 14 | 2.2 | 240 | 38.0 | 48 | 7.6 | 23 | 3.6 | 321 | 51 | 311 | 49 | 0 | 0 |
30 | Uttarakhand | 47 | 13 | 27.7 | 2 | 4.3 | 1 | 2.1 | 21 | 44.7 | 8 | 17.0 | 2 | 4.3 | 16 | 34 | 31 | 66 | 0 | 0 |
31 | West Bengal | 633 | 264 | 41.7 | 65 | 10.3 | 42 | 6.6 | 167 | 26.4 | 45 | 7.1 | 49 | 7.7 | 371 | 59 | 261 | 41 | 1 | 0 |
Total | 16355 | 7341 | 44.9 | 1731 | 10.6 | 999 | 6.1 | 4971 | 30.4 | 738 | 4.5 | 567 | 3.5 | 10071 | 62 | 6276 | 38 | 8 | 0 | |
** State Govt Data used in respect of Maharashtra | ||||||||||||||||||||
# November 2019 data used in respect of Dadra Nagar Haveli Source: CGWB |