A simulation-based optimization approach for integrated flood risk management

Tatano H., . and Okada N., . (2004) A simulation-based optimization approach for integrated flood risk management. [Proceedings Paper]

A large-scale flood in an urban area is a low-frequent and high impact event. Since conventional physical flood protection facilities such as dams and dykes have a limited capacity to prevent up to a certain level of flood disaster we have always the threat of a catastrophic flood disaster which exceeds the capacities of the facilities. This fact demands for development of risk financing tools for extreme flood risk. Hence it is necessary to integrate risk control measures and risk financing measures as to cope with a catastrophic risk. The paper proposes a methodology to design and evaluate integrated countermeasures against catastrophic flood management based on a simulation-based optimization model. As to find effective combination of integrated counter measures the simulation-based optimization approach requires us to solve huge stochastic optimization problem. The paper also shows the method to solve such large-scale stochastic optimization problem.

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Abstract

A large-scale flood in an urban area is a low-frequent and high impact event. Since conventional physical flood protection facilities such as dams and dykes have a limited capacity to prevent up to a certain level of flood disaster we have always the threat of a catastrophic flood disaster which exceeds the capacities of the facilities. This fact demands for development of risk financing tools for extreme flood risk. Hence it is necessary to integrate risk control measures and risk financing measures as to cope with a catastrophic risk. The paper proposes a methodology to design and evaluate integrated countermeasures against catastrophic flood management based on a simulation-based optimization model. As to find effective combination of integrated counter measures the simulation-based optimization approach requires us to solve huge stochastic optimization problem. The paper also shows the method to solve such large-scale stochastic optimization problem.

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Item Type:	Proceedings Paper
Additional Information:	Summary En
AGROVOC Term:	FLOODING
AGROVOC Term:	RISK
AGROVOC Term:	MANAGEMENT
AGROVOC Term:	SIMULATION
AGROVOC Term:	SIMULATION MODELS
AGROVOC Term:	DISASTERS
AGROVOC Term:	JAPAN
Geographical Term:	MALAYSIA
Depositing User:	Ms. Norfaezah Khomsan
Last Modified:	24 Apr 2025 05:27
URI:	http://webagris.upm.edu.my/id/eprint/16120

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