基于层次分析法和GIS的洪水灾害制图评价——在印尼肯聪县的应用

Muhammad Asyroful Mujib, B. Apriyanto, F. A. Kurnianto, F. Ikhsan, E. Nurdin, E. I. Pangastuti, S. Astutik
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引用次数: 8

摘要

洪水是造成经济损失的最常见的水文气象灾害之一。减灾工作的第一步是绘制脆弱地区的地图。Kencong区经常受到每年一度的水灾事件的影响。本研究旨在将AHP方法与地理信息系统相结合,对洪水灾害图进行评估。本研究采用描述性定量方法,通过AHP模型中各物理环境因素的相关矩阵。这些因素包括坡度、海拔、与河流的距离、土壤类型、地形湿度指数(TWI)和曲率。此外,利用地理信息系统(GIS)进行加权叠加阶段,以获得洪水易发地区的结果。基于AHP分析,确定洪水易发区的最重要因素是与河流的距离、坡度和TWI。将洪水易发区制图结果分为五类:不足0.02%、低4.26%、中等37.11%、高51.89%和极高6.72%。将AHP方法与地理信息系统相结合进行洪水灾害评估,可以建立一个评估洪水易发区空间分布的模型。关键词:洪水灾害绘图;多准则决策分析;AHP模型;GIS;Jember版权所有(c)2021 Geosfera Indonesia和Jember大学地理教育系本作品根据知识共享署名共享类似4.0的国际许可证获得许可
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Flood Hazard Mapping Based on Analytical Hierarchy Process (AHP) and GIS: Application in Kencong District, Jember Regency, Indonesia
Flood is one of the most frequent hydrometeorological disasters which leads in economic losses. The first step in flood disaster mitigation efforts is mapping vulnerable areas. Kencong District frequently affected by the annual flooding event. This study aims to assess flood hazard mapping by integrating the AHP method and Geographic Information System. This study used a descriptive quantitative approach through the correlation matrix of the AHP model for each physical environmental factor. These factors include slope, altitude, distance from the river, soil type, Topographic Wetness Index (TWI), and Curvature. Furthermore, with the Geographic Information System (GIS), the weighted overlay stage was carried out to obtain the results of flood-prone areas. Based on the AHP analysis, the most significant factors in determining flood-prone areas were the distance from rivers, slopes, and TWI. The results of flood-prone areas mapping were divided into five classes: from deficient 0.02%, low 4.26%, medium 37.11%, high 51.89%, and very high 6.72%. Validation of GIS mapping results with data in the field has an AUC value of 84%, which indicates that the prediction of the AHP-GIS model is perfect in flood-prone areas mapping in the Kencong District. The integration of AHP method and Geographic Information System in flood hazard assessment were able to produce a model to evaluate the spatial distribution of flood-prone areas. Keywords : Flood Hazard Mapping; Multi-criteria decision analysis; AHP Model; GIS; Jember   Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
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