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
April 2013
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, Liverpool, 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.
Text
GISRUK2013_abstract.pdf
- Author's Original
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Published date: April 2013
Venue - Dates:
GIS Research UK 2013, Liverpool, United Kingdom, 2013-04-03 - 2013-04-05
Organisations:
Geography & Environment
Identifiers
Local EPrints ID: 373244
URI: http://eprints.soton.ac.uk/id/eprint/373244
PURE UUID: 19aecd5a-c426-41f0-a805-b99b9a231c52
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Date deposited: 13 Jan 2015 12:18
Last modified: 15 Mar 2024 03:10
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Author:
Alan Smith
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