Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia
Abstract 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 theo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-03-01
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| Series: | Journal of Flood Risk Management |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jfr3.12686 |
| _version_ | 1818650822676840448 |
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| author | Ghaith Falah Ziarh Md Asaduzzaman Ashraf Dewan Mohamed Salem Nashwan Shamsuddin Shahid |
| author_facet | Ghaith Falah Ziarh Md Asaduzzaman Ashraf Dewan Mohamed Salem Nashwan Shamsuddin Shahid |
| author_sort | Ghaith Falah Ziarh |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-17T01:56:20Z |
| format | Article |
| id | doaj.art-214d590e5ebc4f2f961819d16cbdb8e1 |
| institution | Directory Open Access Journal |
| issn | 1753-318X |
| language | English |
| last_indexed | 2024-12-17T01:56:20Z |
| publishDate | 2021-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Flood Risk Management |
| spelling | doaj.art-214d590e5ebc4f2f961819d16cbdb8e12022-12-21T22:07:57ZengWileyJournal of Flood Risk Management1753-318X2021-03-01141n/an/a10.1111/jfr3.12686Integration of catastrophe and entropy theories for flood risk mapping in peninsular MalaysiaGhaith Falah Ziarh0Md Asaduzzaman1Ashraf Dewan2Mohamed Salem Nashwan3Shamsuddin Shahid4Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru MalaysiaDepartment of Engineering, School of Digital, Technologies and Arts Staffordshire University Stoke‐on‐Trent UKSchool of Earth and Planetary Sciences Curtin University Bentley Perth AustraliaDepartment of Construction and Building Engineering, College of Engineering and Technology, Arab Academy for Science Technology and Maritime Transport (AASTMT) Cairo EgyptDepartment of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru MalaysiaAbstract 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.https://doi.org/10.1111/jfr3.12686catastrophe theorycomposite vulnerabilityentropy theoryflood riskimportance indexmulti‐criteria decision‐making analysis |
| spellingShingle | Ghaith Falah Ziarh Md Asaduzzaman Ashraf Dewan Mohamed Salem Nashwan Shamsuddin Shahid Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia Journal of Flood Risk Management catastrophe theory composite vulnerability entropy theory flood risk importance index multi‐criteria decision‐making analysis |
| title | Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia |
| title_full | Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia |
| title_fullStr | Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia |
| title_full_unstemmed | Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia |
| title_short | Integration of catastrophe and entropy theories for flood risk mapping in peninsular Malaysia |
| title_sort | integration of catastrophe and entropy theories for flood risk mapping in peninsular malaysia |
| topic | catastrophe theory composite vulnerability entropy theory flood risk importance index multi‐criteria decision‐making analysis |
| url | https://doi.org/10.1111/jfr3.12686 |
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