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A spatiotemporal population subgroup model of radiation exposure

A spatiotemporal population subgroup model of radiation exposure
A spatiotemporal population subgroup model of radiation exposure
Understanding the whereabouts of vulnerable population subgroups during emergencies can improve
the targeting and implementation of countermeasures, including evacuation and sheltering. This paper
uses spatiotemporal population density modelling and atmospheric dispersal modelling to estimate the
radiation exposure of a specific population at different times of day, during the start of a hypothetical
radiation accident scenario in Exeter, UK. The model outputs are analysed by GIS to discern
spatiotemporal trends in population exposure, and to identify the times of day when population
subgroups may be most at risk.
Martin, Becky
298e53a5-2d3b-4867-9575-4bec1500129d
Martin, David
e5c52473-e9f0-4f09-b64c-fa32194b162f
Cockings, Samantha
53df26c2-454e-4e90-b45a-48eb8585e800
Martin, Becky
298e53a5-2d3b-4867-9575-4bec1500129d
Martin, David
e5c52473-e9f0-4f09-b64c-fa32194b162f
Cockings, Samantha
53df26c2-454e-4e90-b45a-48eb8585e800

Martin, Becky, Martin, David and Cockings, Samantha (2015) A spatiotemporal population subgroup model of radiation exposure. At GISRUK 2015 GISRUK 2015, United Kingdom. 15 - 17 Apr 2015. (doi:10.6084/m9.figshare.1491375).

Record type: Conference or Workshop Item (Paper)

Abstract

Understanding the whereabouts of vulnerable population subgroups during emergencies can improve
the targeting and implementation of countermeasures, including evacuation and sheltering. This paper
uses spatiotemporal population density modelling and atmospheric dispersal modelling to estimate the
radiation exposure of a specific population at different times of day, during the start of a hypothetical
radiation accident scenario in Exeter, UK. The model outputs are analysed by GIS to discern
spatiotemporal trends in population exposure, and to identify the times of day when population
subgroups may be most at risk.

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More information

e-pub ahead of print date: April 2015
Venue - Dates: GISRUK 2015, United Kingdom, 2015-04-15 - 2015-04-17
Organisations: Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 391257
URI: https://eprints.soton.ac.uk/id/eprint/391257
PURE UUID: ac124915-6ad9-4b97-8de7-93f140ec8347
ORCID for David Martin: ORCID iD orcid.org/0000-0003-0397-0769

Catalogue record

Date deposited: 07 Apr 2016 11:50
Last modified: 06 Jun 2018 13:09

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Contributors

Author: Becky Martin
Author: David Martin ORCID iD

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