Smith, A, Newing, A, Quinn, N et al. (3 more authors) (2015) Assessing the Impact of Seasonal Population Fluctuation on Regional Flood Risk Management. ISPRS International Journal of Geo-Information, 4. 1118 - 1141. ISSN 2220-9964
Abstract
Human populations are not static or uniformly distributed across space and time. This consideration has a notable impact on natural hazard analyses which seek to determine population exposure and risk. This paper focuses on the coupling of population and environmental models to address the effect of seasonally varying populations on exposure to flood risk. A spatiotemporal population modelling tool, SurfaceBuilder247, has been combined with LISFLOOD-FP flood inundation model outputs for a study area centred on the coastal resort town of St Austell, Cornwall, United Kingdom (UK). Results indicate strong seasonal cycles in populations and their exposure to flood hazard which are not accounted for in traditional population datasets and flood hazard assessments. Therefore, this paper identifies and demonstrates considerable enhancements to the current handling of spatiotemporal population variation within hazard exposure assessment and disaster risk management.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license(http://creativecommons.org/licenses/by/4.0/). |
Keywords: | flood risk; LISFLOOD-FP; seasonality; spatiotemporal population modelling; SurfaceBuilder247; St Austell |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Jul 2015 11:53 |
Last Modified: | 01 Mar 2019 11:43 |
Published Version: | http://dx.doi.org/10.3390/ijgi4031118 |
Status: | Published |
Publisher: | MDPI AG |
Identification Number: | 10.3390/ijgi4031118 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:87981 |