Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia

Autor: Shamsuddin Shahid, Ashraf Dewan, Mohamed Salem Nashwan, Ghaith Falah Ziarh, Asaduzzaman
Jazyk: angličtina
Rok vydání: 2021
Předmět:
catastrophe theory
Environmental Engineering
010504 meteorology & atmospheric sciences
lcsh:Disasters and engineering
Geography
Planning and Development
0211 other engineering and technologies
importance index
02 engineering and technology
flood risk
01 natural sciences
lcsh:River protective works. Regulation. Flood control
Risk mapping
parasitic diseases
Entropy (information theory)
Safety
Risk
Reliability and Quality
Socioeconomic status
0105 earth and related environmental sciences
Water Science and Technology
021110 strategic
defence & security studies
Flood myth
business.industry
Environmental resource management
fungi
lcsh:TC530-537
Questionnaire
food and beverages
lcsh:TA495
Multiple-criteria decision analysis
humanities
Geography
entropy theory
multi‐criteria decision‐making analysis
composite vulnerability
Household income
business
geographic locations
Decision analysis
Zdroj: Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
ISSN: 1753-318X
Popis: A major challenge in flood mapping using multi‐criteria decision analysis (MCDA) is the selection of the flood risk factors and the estimation of their relative importance. A novel MCDA method through the integration of two state‐of‐the‐art MCDA methods based on catastrophe and entropy theory is proposed for mapping flood risk in the Peninsular Malaysia, an area very susceptible to flooding events, is presented. A literature review was undertaken which identified the various socioeconomic, physical and environmental factors which can influence flood vulnerability and risk. A set of variables was selected using an importance index which was developed based on a questionnaire survey. Population density, percentage of vulnerable people, household income, local economy, percentage of foreign nationals, elevation and forest cover were all deemed highly relevant in mapping flood risk and determining the zones of maximum vulnerability. Spatial integration of factors using the proposed MCDA revealed that coastal regions are highly vulnerable to floods when compared to inland locations. Flood risk maps indicate that the northeastern coastal region of Malaysia is at greatest risk of flooding. The prediction capability of the integrated method was found to be 0.93, which suggests good accuracy of the proposed method in flood risk mapping.
Databáze: OpenAIRE
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