The University of Southampton
University of Southampton Institutional Repository

24/7 population modelling for enhanced assessment of exposure to natural hazards

24/7 population modelling for enhanced assessment of exposure to natural hazards
24/7 population modelling for enhanced assessment of exposure to natural hazards
There is a growing need for accurate spatio-temporal population estimates free from arbitrary administrative boundaries and temporal divisions to make enhanced assessments of population exposure to natural hazards. The approach proposed here combines the use of a spatio-temporal gridded population model to estimate temporary variations in population with natural hazard exposure estimations. It has been exemplified through a Southampton (UK) centred application using Environment Agency flood map inundation data. Results demonstrate that large fluctuations in the population within flood risk zones occur. Analysis indicates a diurnal shift in exposure to fluvial and tidal flooding, particularly attributed to the working age population. This highlights the improvements achievable to flood risk management as well as potential application to other natural hazard scenarios both within the UK and globally.
Smith, Alan
63ec33c7-fa1d-41ae-a0e1-5a96b7140664
Martin, David
e5c52473-e9f0-4f09-b64c-fa32194b162f
Cockings, Samantha
53df26c2-454e-4e90-b45a-48eb8585e800
Smith, Alan
63ec33c7-fa1d-41ae-a0e1-5a96b7140664
Martin, David
e5c52473-e9f0-4f09-b64c-fa32194b162f
Cockings, Samantha
53df26c2-454e-4e90-b45a-48eb8585e800

Smith, Alan, Martin, David and Cockings, Samantha (2013) 24/7 population modelling for enhanced assessment of exposure to natural hazards. GIS Research UK 2013, United Kingdom. 03 - 05 Apr 2013.

Record type: Conference or Workshop Item (Paper)

Abstract

There is a growing need for accurate spatio-temporal population estimates free from arbitrary administrative boundaries and temporal divisions to make enhanced assessments of population exposure to natural hazards. The approach proposed here combines the use of a spatio-temporal gridded population model to estimate temporary variations in population with natural hazard exposure estimations. It has been exemplified through a Southampton (UK) centred application using Environment Agency flood map inundation data. Results demonstrate that large fluctuations in the population within flood risk zones occur. Analysis indicates a diurnal shift in exposure to fluvial and tidal flooding, particularly attributed to the working age population. This highlights the improvements achievable to flood risk management as well as potential application to other natural hazard scenarios both within the UK and globally.

PDF
GISRUK2013_abstract.pdf - Author's Original
Download (820kB)

More information

Published date: April 2013
Venue - Dates: GIS Research UK 2013, United Kingdom, 2013-04-03 - 2013-04-05
Organisations: Geography & Environment

Identifiers

Local EPrints ID: 373244
URI: https://eprints.soton.ac.uk/id/eprint/373244
PURE UUID: 19aecd5a-c426-41f0-a805-b99b9a231c52
ORCID for David Martin: ORCID iD orcid.org/0000-0003-0397-0769

Catalogue record

Date deposited: 13 Jan 2015 12:18
Last modified: 06 Jun 2018 13:09

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×