Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia

Many places in Malaysia suffer from annual floods that sometimes affect the environment, properties, and infrastructures. In this contribution, we attempt to provide a flood information system through the development of a flood risk map. The study was conducted in Maran district from 2017 to 2021 wi...

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發表在:International Journal of Geoinformatics
主要作者: 2-s2.0-85177172670
格式: Article
語言:English
出版: Association for Geoinformation Technology 2023
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177172670&doi=10.52939%2fijg.v19i9.2873&partnerID=40&md5=408146939ba9e0e967f1a55c9f6962b1
id Mohd Rasu M.S.; Suhandri H.F.; Khalifa N.A.; Abdul Rasam A.R.; Hamid A.
spelling Mohd Rasu M.S.; Suhandri H.F.; Khalifa N.A.; Abdul Rasam A.R.; Hamid A.
2-s2.0-85177172670
Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia
2023
International Journal of Geoinformatics
19
10
10.52939/ijg.v19i9.2873
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177172670&doi=10.52939%2fijg.v19i9.2873&partnerID=40&md5=408146939ba9e0e967f1a55c9f6962b1
Many places in Malaysia suffer from annual floods that sometimes affect the environment, properties, and infrastructures. In this contribution, we attempt to provide a flood information system through the development of a flood risk map. The study was conducted in Maran district from 2017 to 2021 with the available data of Digital Elevation Model (DEM), land use map, topographic map, rainfall intensity, and soil type. The Geographic Information System (GIS) was integrated with the Multi-Criteria Decision Analysis (MCDA) to analyze the potential flood risk area. The distribution of rainfall intensity in the study area is developed using the Inverse Distance Weighted (IDW) interpolation method. The Analytic Hierarchy Process (AHP) is used to determine the weight value of flood hazard criteria. In our study area, there are some natural factors that determine flood risk, such as land use criteria (41.55%), terrain slope (28.95%), rainfall intensity (16.93%), and soil type (12.58%). The value of the consistency ratio is less than 10%, showing that the assessment for each criterion is consistent. It was found that the study area is likely to be at risk of flooding because it has a low slope, has clayey soils, has little vegetation, and is subject to heavy rainfall. © Geoinformatics International.
Association for Geoinformation Technology
16866576
English
Article
All Open Access; Hybrid Gold Open Access
author 2-s2.0-85177172670
spellingShingle 2-s2.0-85177172670
Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia
author_facet 2-s2.0-85177172670
author_sort 2-s2.0-85177172670
title Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia
title_short Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia
title_full Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia
title_fullStr Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia
title_full_unstemmed Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia
title_sort Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang-Malaysia
publishDate 2023
container_title International Journal of Geoinformatics
container_volume 19
container_issue 10
doi_str_mv 10.52939/ijg.v19i9.2873
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177172670&doi=10.52939%2fijg.v19i9.2873&partnerID=40&md5=408146939ba9e0e967f1a55c9f6962b1
description Many places in Malaysia suffer from annual floods that sometimes affect the environment, properties, and infrastructures. In this contribution, we attempt to provide a flood information system through the development of a flood risk map. The study was conducted in Maran district from 2017 to 2021 with the available data of Digital Elevation Model (DEM), land use map, topographic map, rainfall intensity, and soil type. The Geographic Information System (GIS) was integrated with the Multi-Criteria Decision Analysis (MCDA) to analyze the potential flood risk area. The distribution of rainfall intensity in the study area is developed using the Inverse Distance Weighted (IDW) interpolation method. The Analytic Hierarchy Process (AHP) is used to determine the weight value of flood hazard criteria. In our study area, there are some natural factors that determine flood risk, such as land use criteria (41.55%), terrain slope (28.95%), rainfall intensity (16.93%), and soil type (12.58%). The value of the consistency ratio is less than 10%, showing that the assessment for each criterion is consistent. It was found that the study area is likely to be at risk of flooding because it has a low slope, has clayey soils, has little vegetation, and is subject to heavy rainfall. © Geoinformatics International.
publisher Association for Geoinformation Technology
issn 16866576
language English
format Article
accesstype All Open Access; Hybrid Gold Open Access
record_format scopus
collection Scopus
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