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

Q4 Social Sciences
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Abstract

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.
基于gis多准则决策分析的马来西亚彭亨州马兰地区洪水风险图开发评价
马来西亚的许多地方每年都会遭受洪水,有时会影响环境、财产和基础设施。在这篇文章中,我们试图通过开发洪水风险图来提供一个洪水信息系统。该研究于2017 - 2021年在马兰地区进行,利用数字高程模型(DEM)、土地利用图、地形图、降雨强度和土壤类型等数据。地理信息系统(GIS)与多准则决策分析(MCDA)相结合,分析潜在的洪水风险区域。采用逆距离加权插值法,得到了研究区降雨强度的分布。采用层次分析法(AHP)确定洪水灾害标准权重值。研究区土地利用标准(41.55%)、地形坡度(28.95%)、降雨强度(16.93%)、土壤类型(12.58%)等自然因素决定了洪涝风险。一致性比小于10%,说明各指标的评价是一致的。研究发现,由于研究区坡度低,土壤粘稠,植被少,且受暴雨影响,可能面临洪水风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
CiteScore
1.00
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