Lok Sabha Question No. 168 (UNSTARRED), answered on 2022-12-07
Subject: Early Warning System
Ministry: EARTH SCIENCES
Asked by: Shrirang Appa Barne, Ravi Kishan Shukla, Ravindra Kushawaha, Prataprao  Jadhav, Subrata Pathak, Sanjay Sadashivrao Mandlik, Vincent H Pala, Sudheer Gupta, Sambhajirao Mane Dhairyasheel, Bidyut Baran Mahato, Pradyut Bordoloi, Manoj Kumar Tiwari

## GOVERNMENT OF INDIA LOK SABHA

## MINISTRY OF EARTH SCIENCES UNSTARRED QUESTION NO. 168 TO BE ANSWERED ON WEDNESDAY, 7 TH  DECEMBER, 2022

## EARLY WARNING SYSTEM

## 168. SHRI SHRIRANG APPA BARNE:

SHRI RAVI KISHAN:

SHRI RAVINDRA KUSHWAHA:

SHRI PRATAPRAO JADHAV:

SHRI SUBRAT PATHAK:

SHRI SANJAY SADASHIVRAO MANDLIK:

SHRI VINCENT H. PALA:

SHRI SUDHEER GUPTA:

SHRI DHAIRYASHEEL SAMBHAJIRAO MANE:

SHRI BIDYUT BARAN MAHATO:

SHRI PRADYUT BORDOLOI:

SHRI MANOJ TIWARI :

Will the Minister of EARTH SCIENCES be pleased to state:

- (a) whether the Government has assessed the efficacy of India's Early Warning System (EWS) for floods and cyclones;
- (b) if  so, the  details  of  issues  faced  in  warning systems  for natural calamities and the steps being taken to address the same;
- (c) the total number of people killed due to cyclonic storms, floods and heavy rain, year-wise from 2010-11 to 2021-22;
- (d) whether there has been an increase in mortality rate due to floods and cyclones and if so, the reasons for the same;
- (e) whether the Government has developed or intend to develop a scientific system for forecasting of  flash  floods  or  improving  flash  flood  warning  capabilities  with  sufficient  lead  time  in  the country particularly in the North East in 2022 and if so, the details thereof;
- (f) whether  the  Government  is  taking  any  steps  to  improve  the  dissemination  of forecast information to affected communities in disaster-affected States like Meghalaya and Assam and if so, the details thereof; and
- (g) whether  the  Government  has  assessed  the  effectiveness  of  the  Flash  Flood  Guidance  System (FFGS) in forecasting and if so, the results thereof?

## ANSWER

THE MINISTER OF STATE (INDEPENDENT CHARGE) FOR MINISTRY OF SCIENCE AND TECHNOLOGY AND EARTH SCIENCES (DR. JITENDRA SINGH)

(a)-(b)  Flood  warning  is  under  the  mandate  of  Central  Water  Commission  (CWC),  and  India Meteorological  Department  (IMD)  supports  flood  warning  services  of  CWC  by  providing observed  and  forecasted  rainfall.  In  order  to  meet  specific  requirements  of  flood  forecasting, which  is  provided  by  CWC, IMD operates Flood Meteorological Offices (FMOs) at fourteen locations  viz.,  Agra,  Ahmedabad,  Asansol,  Bhubaneshwar,  Guwahati,  Hyderabad,  Jalpaiguri,

Lucknow,  New  Delhi,  Patna,  Srinagar,  Bengaluru,  Thiruvananthapuram  and  Chennai.  Apart from  this,  IMD  also  supports  Damodar  Valley  Corporation  (DVC)  providing  Quantitative Precipitation    Forecast  (QPF)  for   Damodar    river    basin    areas    for   their    flood  forecasting activities.  Central  Water  Commission  is  working  in  close  association  with  IMD  and  State Governments for timely flood forecast whenever the river water level rises above warning level. Flood Meteorological Offices (FMO) operated by IMD provide meteorological support to CWC for  issuing  flood  warnings  well  in  advance  in  respect of  153  river  basins.  CWC  issues  flood forecasts  6hrs.  to  30hrs.  in  advance  using  QPF  received  from  FMOs  of  IMD  and  in-situ hydrometeorological data.

The Hydro-meteorological support for the Flood Forecast activity of Central Water Commission  (CWC)  for  153  flood  prone  river  sub  basins  in  the  country  in  the  form  of Hydromet Bulletin from IMD include:

- a. Sub-basin wise Quantitative Precipitation Forecast (QPF) for next five days.
- b. Sub-basin wise Probabilistic QPF for next five days.
- c. Sub-basin wise Heavy rainfall warnings for day-1 to day-5.
- d. Station wise recorded significant rainfall (≥5cm).
- e. Sub-basin-wise past 24hrs realized areal average rainfall.

For  Brahmaputra,  Barak  and  other  river  sub-basin  in  the  north  eastern  states,  the  Hydromet Bulletins are issued for 20 river sub basins as per the details given in table below:

|   S. No. | Sub-Basin                    |
|----------|------------------------------|
|        1 | Barak at Silchar             |
|        2 | Barak at Badarpurghat        |
|        3 | Manu                         |
|        4 | Gumti                        |
|        5 | Dehung at Passighat          |
|        6 | Lohit at Dholla              |
|        7 | Brahmaputra at Dibrugarh     |
|        8 | Buridihing at Khowang        |
|        9 | Subansiri at Badatighat      |
|       10 | Brahmaputra at Neamatighat   |
|       11 | Dhansiri ( S ) at Golaghat   |
|       12 | Brahmaputra at Tezpur        |
|       13 | Jiabharali at NT road Xing   |
|       14 | Dhansiri ( N ) at Rly Bridge |
|       15 | Kapili at Kampur             |
|       16 | Brahmaputra at Guwahati      |
|       17 | Manas/ Beki at NHXing        |
|       18 | Brahmaputra at Goalpara      |
|       19 | Brahmaputra at Dhubri        |
|       20 | Sankosh                      |

In order to cater to the needs of Cyclone Warning Services and Marine weather services, there are seven established Warning Centers covering the east & west coasts of our country. Among these,  three  are  Area  Cyclone  Warning  Centres  (ACWCs)  located  at  Chennai,  Mumbai  and Kolkata  and  remaining  four  are  Cyclone  Warning  Centres  (CWCs)  located  at  Ahmedabad, Thiruvananthapuram, Visakhapatnam and Bhubaneswar. Area of responsibility of ACWCs and CWCs is shown in the Table & Figure below.

| Centre                 | Coastal area*                                    | Maritime State/UT                                |
|------------------------|--------------------------------------------------|--------------------------------------------------|
| ACWC Kolkata           | State: West Bengal UT: Andaman &Nicobar Islands  | State: West Bengal UT: Andaman &Nicobar Islands  |
| ACWC Chennai           | State: Tamil Nadu UT: Puducherry                 | State: Tamil Nadu UT: Puducherry                 |
| ACWC Mumbai            | State: Maharashtra &Goa                          | State: Maharashtra &Goa                          |
| CWC Thiruvananthapuram | State: Kerala& Karnataka UT: Lakshadweep         | State: Kerala& Karnataka UT: Lakshadweep         |
| CWC Ahmedabad          | State: Gujarat UT: Dadra-Nagar Haveli- Daman-Diu | State: Gujarat UT: Dadra-Nagar Haveli- Daman-Diu |
| CWC Visakhapatnam      | State: Andhra Pradesh                            | State: Andhra Pradesh                            |
| CWC Bhubaneshwar       | State: Odisha                                    | State: Odisha                                    |

*Coastal strip of responsibility extends upto 75 km from the coast line.

IMD has one of the best Early Warning Services in the  world related for Cyclones. The best practices followed by IMD related to cyclone warning services follow:

IMD has demonstrated its capability to provide early warning for Cyclones with high precision. As a result, the vulnerable population gets evacuated from the damage prone areas in a timely manner to safe shelters thereby reducing the human death toll to a bare minimum, in the recent years. It is noteworthy that death due to cyclones has been reduced to less than 100 in recent years.

IMD  has  continuously  expanded  its  infrastructure for meteorological  observations, data exchange,  monitoring  &  analysis,  forecasting  and  warning  services  using  contemporary technology. IMD uses a suite of quality observations from Satellites, Radars and conventional & automatic weather stations  for  monitoring of cyclones developing over the Bay of Bengal and  Arabian  Sea.  It  includes  INSAT  3D,  3DR  and  SCATSAT  satellites,  Doppler  Weather Radars  (DWRs)  along  the  coast  and  coastal  automated  weather  stations  (AWS),  high  wind speed recorders, automatic rain gauges (ARGs), meteorological buoys and ships.

IMD  has  a  very  effective  Decision  Support  System  for  analyzing  various  observations  at  a single  platform  and  predicting  track  and  intensity of  cyclones  as  well  as  the  adverse  weather like  heavy  rain  and  wind.  IMD  also  utilizes  storm  surge  and  coastal  inundation  models  and wave  models  output  from  Indian  National  Centre  for  Ocean  Information  Services  (INCOIS), Hyderabad) for issuing storm surge warning.

IMD  has  a  well-defined  Standard  Operation  Procedure  for  monitoring  &  forecasting  the cyclones and issue related warning. The Cyclone Warning Division (CWD) at IMD, New Delhi acts as a Regional Specialised Meteorological Centre (RSMC) for monitoring, predicting and issuing  warning  services  on  tropical  cyclones  developing  over  north  Indian  Ocean.  It  also carries out research on track, intensity,  landfall and adverse weather associated with cyclones like heavy rainfall, gale wind and storm surge monitoring and prediction.

There have been improvement of about 25% in track & intensity forecast of cyclone in recent five year (2016-21) compared to previous five years (2012-16).

IMD issues forecasts and warnings related to extreme weather events and share the same with Disaster  Management  Authorities  as  well  as  general  public  through  various  platforms  for necessary preparedness and to support mitigation measures.

While  issuing the warning suitable colour code is used to bring out the impact of the severe weather expected and to signal the Disaster Management about the course of action to be taken with respect to impending disaster weather event.  Green color corresponds to no warning hence no  action  is  needed,  yellow  color  corresponds  to  be  watchful  and  get  updated  information, orange color to be alert and be prepared to take action whereas red color signals to take action.

IMD is implementing Impact Based Forecast (IBF) which gives details of what the weather will do rather than what the weather will  be. It contains the details of  impacts expected from the severe weather elements and guidelines to general public about do's and don'ts while getting exposed  to  severe  weather.  These  guidelines  are  finalized  in  collaboration  with  National Disaster Management Authority (NDMA) and is already implemented successfully for cyclone, heat wave, thunderstorm and heavy rainfall.

In  case  of  cyclone  forecast,  to  support  the  Disaster  Management  Authorities,  there  are continuous efforts towards vulnerability assessment & resilience building related to cyclones. Towards this, the Government of India (GoI) has initiated the National Cyclone Risk Mitigation Project (NCRMP) with a view to address cyclone risks in the country. The overall objective of the Project is to undertake suitable structural and non-structural measures to mitigate the effects of  cyclones  in  the  coastal  states  and  UTs  of  India.  National  Disaster  Management  Authority (NDMA) under the aegis of Ministry of Home Affairs (MHA) will implement the Project in coordination  with  participating  State  Governments  and  the  National  Institute  for  Disaster Management (NIDM). The Project has identified 13 cyclone prone States and Union Territories (UTs), with varying levels of vulnerability.

Though  there  has  been  noteworthy  decrease  in  death  toll  due  to  cyclones  in  recent  years, containing  damage  and  economic  loss  associated  with  cyclones  is  still  a  challenge.  Various structural  measures  with  multi-institutional  support  at  national  and  state  level  are  required  to reduce damage due to cyclones.

- (c) - (d) There has been a noteworthy decrease in death toll due to cyclones in recent years. The details of people killed due to cyclone storms, floods and heavy rains during 2010-2021 as provided by National Crime Records Bureau (NCRB) are provided in  Annexure-I.
- (e) Yes Sir. In collaboration with World Meteorological Organization (WMO), Geneva, IMD has commissioned the South Asia Flash Flood Guidance System (SASIAFFGS) on 23 Oct 2020 for catering flash flood guidance services to South Asian Countries viz. India, Bangladesh, Bhutan, Nepal and Srilanka. Hydromet division of IMD viz. Regional Centre (SASIAFFGS) provides location  specific  flash  flood  guidance  alerts  every  6  hours  up  to  watershed  level  (One  lakh approx.). The system is not a predictive tool for forecasting of flash floods. It only provides guidance for vulnerable watersheds. These alerts are in the form of threats with 6 hour of lead time and risks with 24 hour lead time by  integrating near real-time gauge observations along with the satellite, IMD Radar rainfall estimates and NWP outputs and value added flash flood guidance is provided to the stakeholders.

During Flood Season 2022, India Meteorological Department issued the Flash Flood advisories with a validity of 24 hours for 5 such events that occurred in the North eastern Region of the country.

- (f) FFGS has been effectively  used  for issuing Flash Flood advisories during the ongoing Flood season 2022. North Eastern States have received multiple very heavy rainfall spells. Based on the  FFGS  model and value addition  from the  meteorologists at IMD, operational  Flash  flood advisories were issued about 24 hrs in advance in the form of colour coded flash flood risk.

RMC Guwahati issues weather forecasts and heavy rainfall warnings to various users of Central and  State  Govt.  authorities  including  like  State    Disaster  Management  Authorities,  District Authorities,  NDRF,  Power  Sector,  CWC,  Railways  etc.  and  are  being  disseminated  through whatsapp,  twitter,  email,  media  (electronic  and  print)  etc.  Associated  Flash  Flood  Bulletins have also been issued by RMC Guwahati on 15, 16, 17, 18, 20 and 21 May; 2, 6, 8, 9, 10, 12, 13,  14,  15,  16,  17,  18,  19,  28  and  29  June;  31  July;  1,  27  and  31  August  and  10,  24  and  25 October 2022. Impact Based Forecasts have been issued by RMC Guwahati:

Number of heavy rainfall warnings issued by IMD  for Northeastern state of India

| Month 2022   |   Assam | Nagaland   | Manipur   | Mizoram   |   Arunachal Pradesh | Tripura   | Meghalaya   |
|--------------|---------|------------|-----------|-----------|---------------------|-----------|-------------|
| April        |       5 | -          | -         | -         |                   4 | -         | 2           |
| May          |       5 | -          | -         | -         |                   3 | -         | 3           |
| June         |      17 | 3          | 3         | 2         |                   4 | 5         | 15          |
| July         |       3 | -          | -         | -         |                   2 | -         | -           |
| Aug          |       1 | 1          | 1         | 1         |                   2 | 8         | -           |
| Sep          |       3 | -          | -         | -         |                   4 | 10        | -           |
| Oct          |       8 | 3          | 3         | 3         |                   6 | 7         | 3           |

Very heavy and Extremely heavy rainfall warnings are also issued (2022) - 8, 9, 12-19, 27-29 June; 18-21 and 31 July; 1, 27 and 28 August and 3-5 September for Arunachal Pradesh subdivision; 3-19, 27-30 June;  13, 18-21, 24, 25, 28 and 31 July; 1, 27 and 28 August; 4, 5, 11 and 14 September for Assam and Meghalaya sub-division; 16-19 June; 3 July; 27 and 28 August and 11 September for Nagaland, Manipur, Mizoram and Tripura sub-division.

All advisoriesare sent through email, Whatsapp Groups, and Twitter to both National and State Disaster Management  Authorities, MHA,  Water  Resource  Department,  Central Water

Commission,    Ministry  of  Transport,  Prasar-Bharti  and  other  concerned    MC's  &  MO's including  Ago-Meteorological Field Units /District Agro-Meteorological  Unit.

- (g) Flash Floods are rare events and it is difficult to quantify the accuracy of its forecasting system because of the lack of vital data for its validation. However the effectiveness of the system is evaluated  on  case  to  case  basis  during  the  flood  season  based  on  data  available  in  public domain.  Numerical Weather  forecast with Radar  and  Satellite estimates of rainfall in conjunction  with  the  Geomorphological  conditions  is  used  by  SAsiaFFGS  to  delineate  the locations with a potential of having Flash Flood in next 6 hours to next 24 hours. Accordingly, the  Flash  Flood  Risks  and  Flash  Flood  Threats  are  being  issued  as  per  WMO  standard  color codes.

## Annexure-I

## State/UT-wise Number of Accidental Deaths due to Cyclone during 2011-2021

| SN             | State/UT                    | 2011   | 2012   | 2013   |   2014 |   2015 |   2016 |   2017 |   201 8 |   201 9 |   202 0 |   2021 |
|----------------|-----------------------------|--------|--------|--------|--------|--------|--------|--------|---------|---------|---------|--------|
| 1              | Andhra Pradesh              | 8      | 12     | 8      |     41 |      0 |      3 |      1 |       7 |       0 |       3 |      0 |
| 2              | Arunachal Pradesh           | 0      | 0      | 0      |      0 |      0 |      2 |      0 |       1 |       0 |       0 |      0 |
| 3              | Assam                       | 0      | 6      | 0      |      0 |      1 |      1 |      0 |       0 |       0 |       2 |      0 |
| 4              | Bihar                       | 22     | 5      | 1      |      1 |      0 |      4 |      5 |       3 |       0 |       0 |      0 |
| 5              | Chhattisgarh                | 0      | 0      | 1      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 6              | Goa                         | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 7              | Gujarat                     | 6      | 2      | 7      |      6 |      0 |      0 |      0 |       0 |       3 |       0 |     40 |
| 8              | Haryana                     | 6      | 0      | 1      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 9              | Himachal Pradesh            | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 10             | Jharkhand                   | 2      | 0      | 1      |      3 |      0 |      0 |      2 |       3 |       0 |       0 |      0 |
| 11             | Karnataka                   | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       1 |       2 |      0 |
| 12             | Kerala                      | 0      | 0      | 0      |      0 |      0 |      0 |    113 |       1 |       0 |       0 |      0 |
| 13             | Madhya Pradesh              | 4      | 6      | 2      |      2 |      1 |      0 |      0 |       0 |       0 |       0 |      0 |
| 14             | Maharashtra                 | 3      | 1      | 6      |      2 |      0 |      3 |      0 |       1 |       0 |       2 |     72 |
| 15             | Manipur                     | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       3 |       0 |      0 |
| 16             | Meghalaya                   | 0      | 0      | 1      |      0 |      0 |      0 |      2 |       0 |       0 |       0 |      1 |
| 17             | Mizoram                     | 0      | 2      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 18             | Nagaland                    | 0      | 0      | 0      |      0 |      0 |      0 |      1 |       0 |       0 |       0 |      0 |
| 19             | Odisha                      | 0      | 0      | 1      |      0 |      0 |      0 |      0 |       6 |      14 |       0 |      0 |
| 20             | Punjab                      | 0      | 0      | 1      |      0 |      0 |      0 |      0 |       0 |       1 |       0 |      0 |
| 21             | Rajasthan                   | 2      | 1      | 2      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 22             | Sikkim                      | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 23             | Tamil Nadu                  | 10     | 1      | 0      |      0 |      0 |      2 |      6 |      95 |       0 |       0 |      0 |
| 24             | Telangana                   | -      | -      | -      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 25             | Tripura                     | 0      | 0      | 1      |      0 |      0 |      0 |      0 |       2 |       0 |       0 |      0 |
| 26             | Uttar Pradesh               | 40     | 11     | 18     |      7 |     13 |      0 |      3 |       5 |      11 |       0 |      0 |
| 27             | Uttarakhand                 | 3      | 0      | 1      |      0 |      0 |      0 |      0 |       0 |       0 |       4 |      0 |
| 28             | West Bengal                 | 1      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |      22 |      2 |
| TOTAL STATE(S) | TOTAL STATE(S)              | 107    | 47     | 52     |     62 |     15 |     15 |    133 |     124 |      33 |      35 |    115 |
| 29             | 29                          | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      2 |
| 30             | A&NIslands Chandigarh       | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |
| 31             | D&N Haveli and Daman&Diu@ + | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      1 |
| 32             | Delhi UT                    | 0      | 0      | 0      |      0 |      0 |      0 |      0 |       0 |       0 |       0 |      0 |

| 33                | Jammu & Kashmir@*   | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 1   | 0   |   2 |   0 |
|-------------------|---------------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
| 34                | Ladakh@             | -   | -   | -   | -   | -   | -   | -   | -   | -   |   0 |   0 |
| 35                | Lakshadweep         | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   |   0 |   0 |
| 36                | Puducherry          | 10  | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   |   0 |   0 |
| TOTAL UT(S)       | TOTAL UT(S)         | 10  | 0   | 0   | 0   | 0   | 0   | 0   | 1   | 0   |   2 |   3 |
| TOTAL (ALL INDIA) | TOTAL (ALL INDIA)   | 117 | 47  | 52  | 62  | 15  | 15  | 133 | 125 | 33  |  37 | 118 |

As per data provided by states/UTs

Source: Accidental Deaths & Suicide in India

'+' Combined data of erstwhile D & N HAVELI AND DAMAN & DIU UT during 2011- 2019

'*' Data of erstwhile JAMMU & KASHMIR State Including LADAKH during 2011-2019

#' Newly carved State from Andhra Pradesh during 2014

'@' Data of newly created UT 2020

## State/UT-wise Number of Accidental Deaths due to Flood during 2011-2021

| SN             | State/UT          | 2011   | 2012   | 2013   |   201 4 |   201 5 |   201 6 |   2017 |   2018 |   201 9 | 20 20   |   2021 |
|----------------|-------------------|--------|--------|--------|---------|---------|---------|--------|--------|---------|---------|--------|
| 1              | Andhra Pradesh    | 3      | 25     | 45     |       4 |      16 |       1 |      0 |      0 |       1 | 4       |     36 |
| 2              | Arunachal Pradesh | 0      | 8      | 0      |       0 |       0 |       0 |      0 |      6 |       0 | 0       |      0 |
| 3              | Assam             | 61     | 79     | 72     |      75 |     196 |      28 |      7 |     15 |     100 | 18      |      6 |
| 4              | Bihar             | 186    | 55     | 131    |      97 |      12 |     520 |    346 |    231 |     480 | 78 6    |    351 |
| 5              | Chhattisgarh      | 11     | 10     | 3      |      10 |       1 |      11 |      1 |     10 |      10 | 14      |      5 |
| 6              | Goa               | 0      | 0      | 0      |       0 |       0 |       0 |      0 |      0 |       0 | 0       |      0 |
| 7              | Gujarat           | 50     | 37     | 61     |      21 |      57 |      17 |     23 |      4 |      16 | 35      |     22 |
| 8              | Haryana           | 0      | 0      | 1      |       0 |      20 |       0 |      0 |      0 |       0 | 0       |      0 |
| 9              | Himachal Pradesh  | 9      | 30     | 10     |      19 |       1 |      10 |      0 |      2 |       6 | 1       |     15 |
| 10             | Jharkhand         | 3      | 2      | 1      |       0 |       2 |       0 |      3 |      7 |       4 | 1       |      0 |
| 11             | Karnataka         | 6      | 17     | 11     |       8 |       6 |       0 |      0 |     13 |      38 | 11      |     21 |
| 12             | Kerala            | 1      | 0      | 0      |       0 |       0 |       0 |      2 |    125 |      32 | 0       |     27 |
| 13             | Madhya Pradesh    | 46     | 30     | 87     |      59 |      26 |      56 |     15 |      8 |      27 | 11      |     12 |
| 14             | Maharashtra       | 111    | 55     | 185    |      35 |      47 |      96 |     49 |     51 |     190 | 64      |    155 |
| 15             | Manipur           | 0      | 0      | 0      |       0 |       0 |       0 |      2 |      0 |       0 | 0       |      0 |
| 16             | Meghalaya         | 0      | 0      | 0      |       9 |       0 |       0 |      1 |      1 |       0 | 1       |      0 |
| 17             | Mizoram           | 0      | 3      | 0      |       1 |       0 |       0 |      0 |      0 |       0 | 0       |      0 |
| 18             | Nagaland          | 0      | 0      | 0      |       0 |       0 |       0 |      0 |      0 |       0 | 0       |      0 |
| 19             | Odisha            | 3      | 2      | 3      |       4 |       2 |       1 |      1 |      2 |       0 | 0       |      0 |
| 20             | Punjab            | 0      | 0      | 0      |       0 |       0 |       0 |      0 |      0 |       1 | 0       |      0 |
| 21             | Rajasthan         | 0      | 2      | 1      |       0 |       5 |       9 |      3 |      0 |       3 | 0       |      0 |
| 22             | Sikkim            | 0      | 5      | 0      |       0 |       0 |       0 |      0 |      0 |       0 | 0       |      0 |
| 23             | Tamil Nadu        | 18     | 4      | 6      |       0 |     249 |       2 |      0 |      0 |       3 | 0       |      1 |
| 24             | Telangana         | -      | -      | -      |       2 |       0 |       0 |      0 |      0 |       0 | 8       |      3 |
| 25             | Tripura           | 0      | 0      | 0      |       0 |       0 |       0 |      0 |      1 |       0 | 0       |      0 |
| 26             | Uttar Pradesh     | 47     | 24     | 66     |      66 |     188 |      22 |     39 |     24 |      28 | 0       |      0 |
| 27             | Uttarakhand       | 14     | 15     | 13     |       2 |       0 |       0 |      1 |      0 |       9 | 4       |      2 |
| 28             | West Bengal       | 5      | 8      | 1      |       0 |      12 |       0 |      3 |      0 |       0 | 0       |      0 |
| TOTAL STATE(S) | TOTAL STATE(S)    | 574    | 411    | 697    |     412 |     840 |     773 |    496 |    500 |     948 | 95      |    656 |

|                   |                            |     |     |     |     |     |     |     |     |     |   8 |     |
|-------------------|----------------------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
| 29                | A&NIslands                 | 0   | 0   | 0   | 0   | 0   | 1   | 0   | 0   | 0   |   0 |   0 |
| 30                | Chandigarh                 | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   |   0 |   0 |
| 31                | D&N Haveli and Daman&Diu@+ | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   |   0 |   0 |
| 32                | Delhi UT                   | 3   | 1   | 0   | 0   | 0   | 0   | 0   | 0   | 0   |   0 |   0 |
| 33                | Jammu &Kashmir@ *          | 8   | 8   | 3   | 129 | 6   | 1   | 0   | 0   | 0   |   1 |   0 |
| 34                | Ladakh@                    | -   | -   | -   | -   | -   | -   | -   | -   | -   |   0 |   0 |
| 35                | Lakshadweep                | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   |   0 |   0 |
| 36                | Puducherry                 | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   | 0   |   0 |   0 |
| TOTAL UT(S)       | TOTAL UT(S)                | 11  | 9   | 3   | 129 | 6   | 2   | 0   | 0   | 0   |   1 |   0 |
| TOTAL (ALL INDIA) | TOTAL (ALL INDIA)          | 585 | 420 | 700 | 541 | 846 | 775 | 496 | 500 | 948 | 959 | 656 |

As per data provided by states/UTs

Source: Accidental Deaths & Suicide in India

- '+' Combined data of erstwhile D & N HAVELI AND DAMAN & DIU UT during 2011- 2019
- '*' Data of erstwhile JAMMU & KASHMIR State Including LADAKH during 2011-2019

#' Newly carved State from Andhra Pradesh during 2014

'@' Data of newly created UT 2020

State/UT-wise Number of Accidental Deaths due to Torrential rain during 20112021

|   SN | State/UT          |   201 1 |   201 2 |   201 3 |   20 14 |   20 15 |   20 16 |   20 17 |   20 18 |   20 19 |   2020 |   2021 |
|------|-------------------|---------|---------|---------|---------|---------|---------|---------|---------|---------|--------|--------|
|    1 | Andhra Pradesh    |       2 |       2 |       0 |       2 |       2 |       4 |       1 |       0 |       0 |      7 |      0 |
|    2 | Arunachal Pradesh |       2 |       0 |       0 |       2 |       0 |       0 |       0 |       0 |       0 |      0 |      0 |
|    3 | Assam             |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |      1 |      0 |
|    4 | Bihar             |      28 |      14 |       6 |       1 |       0 |       7 |      87 |      59 |      13 |      1 |      5 |
|    5 | Chhattisgarh      |       0 |       0 |       0 |      54 |       0 |      62 |      63 |       0 |       0 |      0 |      0 |
|    6 | Goa               |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |      0 |      1 |
|    7 | Gujarat           |      14 |      72 |      11 |      45 |      45 |       5 |      78 |       0 |       1 |      0 |      0 |
|    8 | Haryana           |       2 |       1 |       2 |       2 |       0 |       1 |       0 |       0 |       0 |      0 |      0 |
|    9 | Himachal Pradesh  |       0 |       0 |       0 |       0 |       0 |       0 |       1 |      16 |       1 |      0 |      0 |
|   10 | Jharkhand         |      28 |       8 |       0 |       5 |       2 |      41 |       4 |       8 |       3 |     10 |     12 |
|   11 | Karnataka         |      32 |       0 |       1 |       0 |       0 |       0 |       0 |       3 |       6 |      2 |     10 |
|   12 | Kerala            |       0 |       0 |       0 |       0 |       1 |       0 |       0 |       5 |       2 |      0 |      0 |
|   13 | Madhya Pradesh    |      17 |       1 |      14 |       1 |       1 |       6 |       3 |       1 |       1 |      1 |      0 |
|   14 | Maharashtra       |       1 |       4 |       3 |       6 |       3 |       7 |       4 |       3 |       5 |      5 |      8 |
|   15 | Manipur           |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |      0 |      0 |
|   16 | Meghalaya         |       0 |       0 |       0 |       0 |       0 |       0 |       3 |       0 |       0 |      6 |      0 |
|   17 | Mizoram           |       0 |       0 |       0 |       0 |       1 |       0 |       0 |       0 |       0 |      0 |      0 |
|   18 | Nagaland          |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |      0 |      0 |
|   19 | Odisha            |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |      0 |      0 |
|   20 | Punjab            |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |       0 |      0 |      0 |
|   21 | Rajasthan         |       6 |       4 |      11 |      21 |       4 |       1 |       1 |       0 |       3 |      3 |      9 |
|   22 | Sikkim            |       0 |       0 |       0 |       0 |       1 |       0 |       0 |       0 |       0 |      0 |      0 |
|   23 | Tamil Nadu        |       1 |       0 |       0 |       0 |       2 |       0 |      13 |       0 |       5 |      1 |      2 |

| 24                | 24                          | Telangana #   | -   | -   | -    | 3    | 6    | 0    | 0    | 0 0   |   0 |   0 |
|-------------------|-----------------------------|---------------|-----|-----|------|------|------|------|------|-------|-----|-----|
| 25                | Tripura                     | 0             | 0   | 1   | 0    | 0    | 0    | 0    | 0    | 4     |   0 |   0 |
| 26                | Uttar Pradesh               | 20            | 21  | 30  | 14   | 12 6 | 9    | 1    | 3    | 17    |   0 |   0 |
| 27                | Uttarakhand                 | 0             | 53  | 63  | 0    | 0    | 0    | 0    | 3    | 7     |   0 |  16 |
| 28                | West Bengal                 | 17            | 23  | 0   | 0    | 1    | 0    | 0    | 0    | 1     |   0 |   0 |
| TOTAL STATE(S)    | TOTAL STATE(S)              | 170           | 203 | 142 | 15 6 | 19 5 | 14 3 | 25 9 | 10 1 | 69    |  37 |  63 |
| 29                | A &NIslands                 | 0             | 0   | 0   | 0    | 0    | 0    | 0    | 0    | 0     |   0 |   0 |
| 30                | Chandigarh                  | 0             | 0   | 0   | 0    | 0    | 0    | 0    | 0    | 0     |   0 |   0 |
| 31                | D&N Haveli and Daman&Diu @+ | 0             | 0   | 0   | 0    | 0    | 0    | 0    | 0    | 0     |   5 |   0 |
| 32                | Delhi UT                    | 0             | 0   | 0   | 0    | 0    | 0    | 0    | 0    | 0     |   1 |   0 |
| 33                | Jammu &Kashmir@*            | 0             | 0   | 0   | 0    | 0    | 0    | 0    | 0    | 0     |   0 |   0 |
| 34                | Ladakh@                     | -             | -   | -   | -    | -    | -    | -    | -    | -     |   0 |   0 |
| 35                | Lakshadweep                 | 0             | 0   | 0   | 0    | 0    | 0    | 0    | 0    | 0     |   0 |   0 |
| 36                | Puducherry                  | 0             | 0   | 0   | 0    | 0    | 0    | 0    | 0    | 0     |   0 |   0 |
| TOTAL UT(S)       | TOTAL UT(S)                 | 0             | 0   | 0   | 0    | 0    | 0    | 0    | 0    | 0     |   6 |   0 |
| TOTAL (ALL INDIA) | TOTAL (ALL INDIA)           | 170           | 203 | 142 | 15 6 | 19 5 | 14 3 | 25 9 | 10 1 | 69    |  43 |  63 |

As per data provided by states/UTs

Source: Accidental Deaths & Suicide in India

'+' Combined data of erstwhile D & N HAVELI AND DAMAN & DIU UT during 2011- 2019

'*' Data of erstwhile JAMMU & KASHMIR State Including LADAKH during 2011-2019

#' Newly carved State from Andhra Pradesh during 2014

'@' Data of newly created UT 2020

However for the year 2022 the figures are provided below as per the IMD reports.

|   YEAR |   FLOODS AND HEAVY RAINS |   CYCLONIC STORM |   TOTAL |
|--------|--------------------------|------------------|---------|
|   2022 |                      804 |                0 |     804 |

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