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Estimating the long-term historic evolution of exposure to flooding of coastal populations

Estimating the long-term historic evolution of exposure to flooding of coastal populations
Estimating the long-term historic evolution of exposure to flooding of coastal populations
Coastal managers face the task of assessing and managing flood risk. This requires knowledge of the area of land, the number of people, properties and other infrastructure potentially affected by floods. Such analyses are usually static; i.e. they only consider a snapshot of the current situation. This misses the opportunity to learn about the role of key drivers of historical changes in flood risk, such as development and population rise in the coastal flood plain, as well as sea-level rise.

In this paper, we develop and apply a method to analyse the temporal evolution of residential population exposure to coastal flooding. It uses readily available data in a GIS environment. We examine how population and sea-level change have modified exposure over two centuries in two neighbouring coastal sites: Portsea and Hayling Islands on the UK south coast. The analysis shows that flood exposure changes as a result of increases in population, changes in coastal population density and sea level rise. The results indicate that to date, population change is the dominant driver of the increase in exposure to flooding in the study sites, but climate change may outweigh this in the future. A full analysis of changing flood risk is not possible as data on historic defences and wider vulnerability are not available. Hence, the historic evolution of flood exposure is as close as we can get to a historic evolution of flood risk.

The method is applicable anywhere that suitable floodplain geometry, sea level and population data sets are available and could be widely applied, and will help inform coastal managers of the time evolution in coastal flood drivers.
1684-9981
1215-1229
Stevens, A.J.
fab8e88b-0e62-488b-be4f-c8a3cb9988db
Clarke, D.
9746f367-1df2-4e0e-8d71-5ecfc9ddd000
Nicholls, R.J.
4ce1e355-cc5d-4702-8124-820932c57076
Wadey, M.P.
e712b840-f36b-41aa-ae28-d4d81de31831
Stevens, A.J.
fab8e88b-0e62-488b-be4f-c8a3cb9988db
Clarke, D.
9746f367-1df2-4e0e-8d71-5ecfc9ddd000
Nicholls, R.J.
4ce1e355-cc5d-4702-8124-820932c57076
Wadey, M.P.
e712b840-f36b-41aa-ae28-d4d81de31831

Stevens, A.J., Clarke, D., Nicholls, R.J. and Wadey, M.P. (2015) Estimating the long-term historic evolution of exposure to flooding of coastal populations. Natural Hazards and Earth System Sciences, 15 (6), 1215-1229. (doi:10.5194/nhess-15-1215-2015).

Record type: Article

Abstract

Coastal managers face the task of assessing and managing flood risk. This requires knowledge of the area of land, the number of people, properties and other infrastructure potentially affected by floods. Such analyses are usually static; i.e. they only consider a snapshot of the current situation. This misses the opportunity to learn about the role of key drivers of historical changes in flood risk, such as development and population rise in the coastal flood plain, as well as sea-level rise.

In this paper, we develop and apply a method to analyse the temporal evolution of residential population exposure to coastal flooding. It uses readily available data in a GIS environment. We examine how population and sea-level change have modified exposure over two centuries in two neighbouring coastal sites: Portsea and Hayling Islands on the UK south coast. The analysis shows that flood exposure changes as a result of increases in population, changes in coastal population density and sea level rise. The results indicate that to date, population change is the dominant driver of the increase in exposure to flooding in the study sites, but climate change may outweigh this in the future. A full analysis of changing flood risk is not possible as data on historic defences and wider vulnerability are not available. Hence, the historic evolution of flood exposure is as close as we can get to a historic evolution of flood risk.

The method is applicable anywhere that suitable floodplain geometry, sea level and population data sets are available and could be widely applied, and will help inform coastal managers of the time evolution in coastal flood drivers.

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Published date: 15 June 2015
Organisations: Physical Oceanography, Civil Maritime & Env. Eng & Sci Unit

Identifiers

Local EPrints ID: 380118
URI: http://eprints.soton.ac.uk/id/eprint/380118
ISSN: 1684-9981
PURE UUID: 810cd257-5b06-4145-97ba-beb749ede4bf
ORCID for D. Clarke: ORCID iD orcid.org/0000-0002-5433-5258
ORCID for R.J. Nicholls: ORCID iD orcid.org/0000-0002-9715-1109

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Date deposited: 05 Aug 2015 16:03
Last modified: 15 Mar 2024 03:18

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Contributors

Author: A.J. Stevens
Author: D. Clarke ORCID iD
Author: R.J. Nicholls ORCID iD
Author: M.P. Wadey

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