Sneha Krishnan
Post Graduate Student,
Disaster Management Program,
Tata Institute of Social Science (TISS), Mumbai, India

110 Introduction
 Scope of the study Aim and Objectives

 Study area
 Literature Review
 Methodology
 Data Generation
 GIS data Integration
 Data analysis
 Output Results and Discussions111 Urban areas facing the threat of environment

degradation, earthquakes, floods, cyclones
 Developing nations further burdened Bangladesh, Sub-Saharan Africa, India, Nepal Floods of different types, nature, and areaspecific Mumbai on 26th of July 2005 Accounts on
 What went wrong?

 Are remedial measures the solutions?
112 Floods every monsoons
 Unplanned urban development
 Improper drainage management
 Health and housing concerns Economic damages
 Transport services disrupted

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 AIM:-The main aim of the study is flood risk
mapping in Kalyan-Dombivli area with respect tothe physical, demographical and socio-economicalvulnerability indicators.
 OBJECTIVE: To identify the low-lying areas with built-up
lands.
 Land use/land cover map
 To analyze the flood risk factors and provide thestructures which will help to minimize the floodrisk


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 Floods :- Defined as relatively high flow thatovertakes natural channel provided for run-off.
(Chow)
 Flood as a body of water that overflows landthat is not normally submerged.(Ward) Types of floods:- Flash floods, Single-event
floods, Multiple event floods and seasonalfloods.
 Causes of floods:- Meteorological Anthropogenic and geomorphic causes117 GIS and remote sensing applications in Cyclones

and downpours drawing from international,
national and studies in Mumbai
 Flood damages
 Remedial measures

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REMOTE SENSINGTOPOSHEETSFIELD DATASELECTION OF
INUNDATION AREAS

LAND USE/LAND COVERMAP

BASE MAP

FLOOD INUNDATION MAP

CONTOUR MAPSFLOOD WATER LEVELMAPDAMAGEASSESSMENT MAP

ORGANIZATIONALDATAWARD MAPS
DEMARCATION OF
LOW-LYINGSETTLEMENTS

GPS MEASUREMENTS

ELEVATION AND
LOCATION MAP(LAT/LONG)

GIS- DATA GENERATIONDATA INTEGRATION AND
ANALYSISFLOOD RISK ASSESSMENT120 Primary Data

Field Surveys, House
Hold Interviews(60) Secondary Data
Kdmc, Web Links,Journals, Articles.
 Rainfall data

 GIS DATAGENERATION
 Study area map
 Contour map
 DEM LU/LC map
 Drainage map From bothToposheet as well as
Satellite image

 Water level map
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Areas visited-GPS coordinates
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Drainage map of KDMC

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DEM
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Demographymap ofKDMCward-wise136

 Physical Indicators
 Residential areas
 Commercial areas
 Industrial
 Transport Mixed Urban

 Socio-economicIndicators

 Education andEmployment
 Flood impacts

 Hazard Indicators
 Rainfall data Water level Flood duration

 GIS Data Analysis

 Urban Rural Land without scrub Marshy

Areas/Swampy Areas Rivers
 Reservoirs
 Stone quarry137

 Increase in urban areas-LU/LC maps
 Risk areas-low, moderate and high.
 Irregular drainage systems

 Industrial waste lead into major nullahs.
 Decay of river systems.
 Clogged drainages and improper sewage

disposal systems.

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 Risk=Vulnerability *Hazard
 V=E*S/C (White et. al. 2005)

Where V-Vulnerability
E-Exposure
S-Susceptibility
C-Coping capacity

140Risk Prone Areas- Physical and socio-economic indicators

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Risk prone areas- Demographic indicators

1421.Concentration of population due to increase in
the income opportunities in the suburbanregions.
2. Changes in land use/ land cover patterns.
3. Unsafe housing practices which are vulnerable
to floods.
4. Improper drainage networks.
5. Increased value of infrastructure and property.
6. Relocation and Rehabilitation.
7. Hygienic and sanitation issues.
8. Regional growth143 Mainstreaming Disaster Risk Reduction

strategies into development concerns Remote sensing applications
 Socio-economic aspects of flood management
 GIS Database management
 Economic and population growth scenarios
 Environmental consideration
 Technological support and using them fordatabase management Regulatory activities and promotion of floodresistant structures and Comprehensive land use planning.

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