Spatial-Temporal Variation in Population and Household Infrastructure Exposed to Urban Flood Risks in India, 2000–2014

Jessie Pinchoff , Population Council
Mark R. Montgomery, Population Council
Deborah L. Balk, CUNY Institute for Demographic Research (CIDR)
Hasim Engin, Baruch College, City University of New York (CUNY)

India is at high risk of both inland and coastal flooding, and simultaneously transitioning from rural to urban, exposing millions of people to flood risks. Flooding affects fresh water access and household sanitation, contributing to the spread of water and vector-borne diseases. Flood and population data will be overlaid using R software to measure spatial-temporal exposure. Urbanization, total population, and population by indicators of vulnerability will be quantified using the Global Human Settlement Layer (GHSL) and the 2011 Indian Census. Flooding will be characterized by multiple datasets including the low elevation coastal zone (LECZ), the Dartmouth Flood Observatory flood event catalogue, passive microwave flood detection data, Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) and cyclone and tropical storm tracks datasets. Results will highlight variation in urban population and household infrastructure exposed to flood risks to guide better-targeted disaster preparedness efforts, adaptation policies, and city planning regarding water and safety.

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 Presented in Session 5. Health & Mortality 1