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An agent-based model for risk-based flood incident management

Lookup NU author(s): Professor Richard Dawson

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Abstract

Effective flood incident management (FIM) requires successful operation of complex, interacting human and technological systems. A dynamic agent-based model of FIM processes has been developed to provide new insights which can be used for policy analysis and other practical applications. The model integrates remotely sensed information on topography, buildings and road networks with empirical survey data to fit characteristics of specific communities. The multiagent simulation has been coupled with a hydrodynamic model to estimate the vulnerability of individuals to flooding under different storm surge conditions, defence breach scenarios, flood warning times and evacuation strategies. A case study in the coastal town of Towyn in the United Kingdom has demonstrated the capacity of the model to analyse the risks of flooding to people, support flood emergency planning and appraise the benefits of flood incident management measures.


Publication metadata

Author(s): Dawson RJ, Peppe R, Wang M

Publication type: Article

Publication status: Published

Journal: Natural Hazards

Year: 2011

Volume: 59

Issue: 1

Pages: 167-189

Print publication date: 24/02/2011

ISSN (print): 0921-030X

ISSN (electronic): 1573-0840

Publisher: Springer

URL: http://dx.doi.org/10.1007/s11069-011-9745-4

DOI: 10.1007/s11069-011-9745-4


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