Vulnerability to Disasters: A Gendered
Analysis on Water Availability and Livelihoods in Nadu Colony, Kovalam, Chennai, India
Group No: 02
- Sumaia Kashem
- Shreeya Lohani
- Shanmuga Priya. G
- Meththa Prabodhani Menike
Introduction What is Disaster vulnerability? Vulnerability is the - - PowerPoint PPT Presentation
Vulnerability to Disasters: A Gendered Analysis on Water Availability and Livelihoods in Nadu Colony, Kovalam, Chennai, India Group No: 02 Sumaia Kashem Shreeya Lohani Shanmuga Priya. G Meththa Prabodhani Menike
“Vulnerability is the inability to resist a hazard or to respond when a disaster has
“Both women and men are part of the same society. However, they do not have the same rights, education and options to manage, when a disaster strikes.”
(UNISDR Secretariat, 2003)”
“The concept of livelihood reflects the ability of people to sustain their daily needs on a combination of resources which are natural, physical, human, social, financial, and political in nature. These resources strongly interplay with the ability of people to face the threat of and recover from the impact of natural hazards” ( https://link.springer.com)
Religion, Gender)
Floods
Droughts
Quantity Deterioration
Cyclones
houses
fishing
Tsunami
Rehabilitation programs Tourism
value
Water Scarcity
Chennai Source: Google Earth Imagery, 2019
October to December.
to April.
is 28.6 °C.
1197 mm.
Source: en.climate-data.org
b) Tracks of cyclones and depressions 2000-2018 a) Tracks of cyclones and depressions 1971-1980
2 4 6 8 10 12 14 frequency of cyclones Year severe cyclonics storms cyclonic storms depressions
Source: IMD Cyclone Atlas
The study area which is located south of Chennai has hardly hit by Tsunami in 2004
https://www.thehindu.com
Data Analysis and Interpretations Quantitative Data Qualitative Data Transect Walk Study Area Selection Primary Data Collection Secondary Data/ Information Questionnaire Survey (14 Households) KPI (03) IDI (03) Field Observations Time Use Survey for Peak and Lean Season Resource Mapping with Men and Women Impacts of Disasters on Men and Women and their livelihoods
Types of Activities Economic Activities Non-Economic Activities SNA Works Non- SNA Works Livelihood Activity Water Child Care Domestic Activities Water Personal Care Free Time Social & Cultural Activities Recreation
Keeper
canned water
Operator
School
children
with neighbors
TV
Festivals
Resource Map Male Resource Map- Female Resource maps clearly show the differences in perception of males and females on resources around them
64% 22% 14%
Ownership of House
rented
15% 64% 21%
Kutcha Semi Pucca Pucca
71% 29%
Family type
Man-headed Women-headed
& dry period has made the water totally saline.
fishing.
than recharge, the waterbodies in the area got dried and became saline.
Peak period(highest rainfall period) Lean period(Driest Period) Backwater Polluted water in well Polluted water infront of SC people
93% 7% 57% 15% 14% 14%
Primary Sources of Drinking Water
Can Water public well rain water
Lean Period Peak Period 50% 29% 14% 7% 7% 7% 22% 29% 21% 14%
Primary Sources of Domestic Water
Tap water tank water ponds private wells
Lean Period
Lean drinking Peak drinking Lean Domestic Peak Domestic Tap water 1 3 2 Public well 1 1 2 Pond 2 2 1 3 Rain water 1 1 Tank water 2 2 6
1 2 3 4 5 6 7
Secondary Sources of Water
Can Water Well Water Tank Water Tap Water
0.000 0.200 0.400 0.600 0.800 1.000 1.200
Seasonal Variation of Male Activities
SNA Activities(Male lean) Non-SNA Activities (Male lean) SNA Activities (Male Peak) Non-SNA Activities (Male Peak) 0.000 0.100 0.200 0.300 0.400 0.500 0.600 0.700 0.800
Seasonal Variation of Female Activities
SNA Activities (Female lean) Non-SNA Activities (Female lean) SNA Activities (Female peak) Non-SNA Activities (Female peak)
0.000 0.200 0.400 0.600 0.800 1.000 1.200 6 AM- 7 AM 7 AM- 8 AM 8 AM- 9 AM 9 AM- 10 AM 10 AM- 11 AM 11AM- 12 PM 12 PM- 1 PM 1PM- 2PM 2PM- 3PM 3PM- 4PM 4PM- 5PM 5PM- 6PM 6PM-7PM 7PM- 8PM 8PM- 9PM 9PM- 10PM 10PM-11PM 11PM- 12AM 12AM- 1 AM 1 AM- 2 AM 2 AM- 3AM 3 AM- 4 AM 4 AM- 5 AM 5 AM- 6 AM
Variation of Activities in lean Period
SNA Activities(Male lean) Non-SNA Activities (Male lean) SNA Activities (Female lean) Non-SNA Activities (Female lean)
0.000 0.100 0.200 0.300 0.400 0.500 0.600 0.700 0.800
Variation of Activities of Peak Season
SNA Activities (Male Peak) Non-SNA Activities (Male Peak) SNA Activities (Female peak) Non-SNA Activities (Female peak)
6 AM- 7 AM 7 AM- 8 AM 8 AM- 9 AM 9 AM- 10 AM 10 AM- 11 AM 11AM- 12 PM 12 PM- 1 PM 1PM- 2PM 2PM- 3PM 3PM- 4PM 4PM- 5PM 5PM- 6PM 6PM-7PM 7PM- 8PM 8PM- 9PM 9PM- 10PM 10PM-11PM 11PM- 12AM 12AM- 1 AM 1 AM- 2 AM 2 AM- 3AM 3 AM- 4 AM 4 AM- 5 AM 5 AM- 6 AM
Lean
0.000 0.100 0.200 0.300 0.400 0.500 0.600 0.700 0.800 6 AM- 7 AM 7 AM- 8 AM 8 AM- 9 AM 9 AM- 10 AM 10 AM- 11 AM 11AM- 12 PM 12 PM- 1 PM 1PM- 2PM 2PM- 3PM 3PM- 4PM 4PM- 5PM 5PM- 6PM 6PM-7PM 7PM- 8PM 8PM- 9PM 9PM- 10PM 10PM-11PM 11PM- 12AM 12AM- 1 AM 1 AM- 2 AM 2 AM- 3AM 3 AM- 4 AM 4 AM- 5 AM 5 AM- 6 AM
Peak
Non SNA Activity of Male Non SNA Activity of Female
Peak
0.000 0.200 0.400 0.600 0.800 1.000 1.200 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 SNA Activities(Male lean) SNA Activities (Female lean) 0.000 0.100 0.200 0.300 0.400 0.500 0.600 0.700 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 SNA Activities (Male Peak) SNA Activities (Female peak)
Lean
SNA Activity of Male SNA Activity of Female
Type of House Stories of building Ownership of house weightage Category Ranking Pucca 1 Owned 1 1 Higher Class Semi pucca 2 Owned 2 Semi pucca 1 Owned 3 Pucca 2 Rented 4 2 Middle Class Pucca 1 Owned 4 Semi pucca 1 Rented 5 Semi pucca 1 Donated 6 3 Lower Class Kutcha 1 Owned 7 Richest Poorest
Type of source Source Higher Class Middle Class Lower Class
Primary
Can Water 7 3 3 Tap water 1
Secondary
Public Well 1 Type of source Source
Higher Class Middle Class Lower Class Primary Can Water 5 3 Tap water 2 Public Well 2 1 rain water 2 Secondary ponds 2 2 rain water 1 1 Source of drinking water for Peak period * economic index Cross tabulation Source of drinking water for Lean period * economic index Cross tabulation
Drinking Water in Lean Drinking water in Peak Higher Class Middle Class Lower class Higher Class Middle Class Lower class Paid Water 7 3 3 5 3 Unpaid Water 1 2 4
Paid water – can and supplied water Unpaid water – Public wells, pond, rainwater
S NO INTERVIEWEE WATER AVAILABILITY LIVELIHOODS OCCUPATION ADAPTATION & MANAGEMENT RISKS 1 KALIAMMAL AGE: 47 NADU COLONY Vulnerable to access the natural water sources and panchayat water
sea fishing
access good quality of water
Men do prawn catching
salt production
collect rain water for domestic purpose
condition 2 BUVANESHWARI & JAYAKUMAR NADU COLONY Vulnerable to access good quality of water from common resources
he will take leave for 10 days to fetch water from 6 AM- 9:30 AM
and it will take 15 minutes
his traditional
waste discharge into the Back water.
during rainy season
seasonal pattern changes
S NO INTERVIEWEE WATER AVAILABILITY LIVELIHOODS OCCUPATION ADAPTATION & MANAGEMENT RISKS 3 DHAKSANA MOORTHI Vulnerable to access good quality of water after 2015 flood event
Driver
production and this also get worsen because of less income
legs after work
network for drinking water
peoples voice are voiceless 4 ETHTHU RAJAM
fetching good quality of water (public water sources)
wells quality getting worse day by day. There may be a cause like multiple well for
paddy vegetables cultivation
flooding which takes place often
implemented in a correct way( Desalination plant)
functioning well
S NO INTERVIEWEE WATER AVAILABILITY LIVELIHOODS ADAPTATION & MANAGEMENT RISKS 5 AMZED AHMED, NADU COLONY Initially depend on tap water due to uncertainty they used to take well
water intrusion reduced the availability of water. Now they are preferring for can water. Some times their less income push them to use saline water for cooking purpose 6 THIRUNAKAR, NADU COLONY Initially the rainfall pattern is certain one and now the intensity gets increased and inundation of houses
satisfies their water needs. lack of proper maintenance and dumping of garbage on lake the water on pond was worst lack of proper maintenance and dumping of garbage on lake the water on pond was worst