Development of an agent-based model to improve emergency planning for floods and dam failures

Autor: Darren Lumbroso, Mark Davison, Mark Wetton
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Hydroinformatics, Vol 25, Iss 5, Pp 1610-1628 (2023)
Druh dokumentu: article
ISSN: 1464-7141
1465-1734
DOI: 10.2166/hydro.2023.194
Popis: The Life Safety Model (LSM) is an agent-based model which assists with emergency planning and risk assessments for floods and dam failures by providing estimates of fatalities and evacuation times. The LSM represents the interactions of agents (i.e. people, vehicles, and buildings) with the floodwater. The LSM helps to increase the accuracy of estimates of loss of life and evacuation times for these events by taking into account a number of parameters which are not described in empirical models, such as the people's characteristics (e.g. age and gender), building construction types, and the road network. The LSM has been applied to three historic flood-related disasters: the 1953 coastal floods, in the UK; the 1959 Malpasset Dam failure, in France; the 2019 Brumadinho tailings dam disaster, in Brazil. These illustrate how the LSM has been verified and improvements to evacuation routes, early warnings, and the refuge locations could have reduced the number of fatalities. The value of using the LSM is not to calculate the ‘exact’ number of flood deaths or evacuation times, but to assess if emergency management interventions can significantly reduce them. The LSM can also be used to assess whether the societal risk posed by dams and flood defences is ‘acceptable’. HIGHLIGHTS Novel agent-based model which allows interactions of people, buildings, and vehicles with the floodwater to be modelled.; Model can be used to assess emergency management interventions for floods and dam failures and provide quantitative estimates of the risks to people.; Summary of the use of the model for three historic events including Malpasset and Brumadinho dam failures, and the 1953 coastal flood in the UK.;
Databáze: Directory of Open Access Journals
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