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Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio

Flash flood are natural disasters that frequently occur in Malaysia especially in urban areas. Due to this, the development of flash flood susceptibility mapping one of the tools used to aid the local authority in reducing and managing the flash flood impact. Frequency Ratio (FR) is a popular method...

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Main Authors: Azlan Saleh,, Ali Yuzir,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/18347/1/5.pdf
http://journalarticle.ukm.my/18347/
https://www.ukm.my/jsm/malay_journals/jilid51bil1_2022/KandunganJilid51Bil1_2022.html
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spelling my-ukm.journal.183472022-04-11T06:15:05Z http://journalarticle.ukm.my/18347/ Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio Azlan Saleh, Ali Yuzir, Flash flood are natural disasters that frequently occur in Malaysia especially in urban areas. Due to this, the development of flash flood susceptibility mapping one of the tools used to aid the local authority in reducing and managing the flash flood impact. Frequency Ratio (FR) is a popular method in predictive modeling because of its capabilities to determine the critical conditioning factor of flash flood. The aim of this research was to compare the standalone FR with Ensemble FR-AHP. This ensemble method uses pair-wise comparison method between Frequency Ratio and Analytical Hierarchy Process (AHP). For this research, ten conditioning factors were selected which were slope, aspect, curvature, Topographic Wetness Index (TWI), Stream Power Index (SPI), Normalized Difference Vegetation Index (NDVI), distance from river, rainfall, elevation, and land use/land cover (LULC). The flash flood inventory was obtained from local authorities where the flash flood occurred in Penang, Malaysia on November 2017. 70% of 110 flooded locations were used as training dataset to assess the spatial distribution of flooding whereas the remaining 30% flooded locations were used as validation dataset. Based on the results, the prediction rate of FR-AHP method is slightly better accuracy compared to FR method which 88.33% (FR-AHP) and 85.62% (FR). The output of this research is crucial to assist local authority in land use planning and drainage system of the study area. Penerbit Universiti Kebangsaan Malaysia 2022-01 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18347/1/5.pdf Azlan Saleh, and Ali Yuzir, (2022) Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio. Sains Malaysiana, 51 (1). pp. 51-65. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid51bil1_2022/KandunganJilid51Bil1_2022.html
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Flash flood are natural disasters that frequently occur in Malaysia especially in urban areas. Due to this, the development of flash flood susceptibility mapping one of the tools used to aid the local authority in reducing and managing the flash flood impact. Frequency Ratio (FR) is a popular method in predictive modeling because of its capabilities to determine the critical conditioning factor of flash flood. The aim of this research was to compare the standalone FR with Ensemble FR-AHP. This ensemble method uses pair-wise comparison method between Frequency Ratio and Analytical Hierarchy Process (AHP). For this research, ten conditioning factors were selected which were slope, aspect, curvature, Topographic Wetness Index (TWI), Stream Power Index (SPI), Normalized Difference Vegetation Index (NDVI), distance from river, rainfall, elevation, and land use/land cover (LULC). The flash flood inventory was obtained from local authorities where the flash flood occurred in Penang, Malaysia on November 2017. 70% of 110 flooded locations were used as training dataset to assess the spatial distribution of flooding whereas the remaining 30% flooded locations were used as validation dataset. Based on the results, the prediction rate of FR-AHP method is slightly better accuracy compared to FR method which 88.33% (FR-AHP) and 85.62% (FR). The output of this research is crucial to assist local authority in land use planning and drainage system of the study area.
format Article
author Azlan Saleh,
Ali Yuzir,
spellingShingle Azlan Saleh,
Ali Yuzir,
Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio
author_facet Azlan Saleh,
Ali Yuzir,
author_sort Azlan Saleh,
title Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio
title_short Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio
title_full Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio
title_fullStr Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio
title_full_unstemmed Flash flood susceptibility mapping of sungai pinang catchment using frequency ratio
title_sort flash flood susceptibility mapping of sungai pinang catchment using frequency ratio
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2022
url http://journalarticle.ukm.my/18347/1/5.pdf
http://journalarticle.ukm.my/18347/
https://www.ukm.my/jsm/malay_journals/jilid51bil1_2022/KandunganJilid51Bil1_2022.html
_version_ 1731226524492759040
score 13.211869

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