在埃及探索基于地理信息系统的空间洪水风险评估分层分析程序:达米埃塔分部案例研究

IF 6 3区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Mohamed Zhran, Karim Ghanem, Aqil Tariq, Fahad Alshehri, Shuanggen Jin, Jayanta Das, Chaitanya Baliram Pande, Malay Pramanik, Fahdah Falah Ben Hasher, Ashraf Mousa
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引用次数: 0

摘要

洪水是全球最常见、损失最大的灾害,但由于观测数据较少和方法的局限性,洪水风险的空间评估仍具有挑战性。在本研究中,通过将遥感与地理信息系统和层次分析法(AHP)相结合,对埃及达米埃塔分部尼罗河地区的洪水风险区划进行了划分和评估。12 个专题图层(高程、坡度、归一化差异植被指数、地形湿润指数、修正的归一化差异水指数、地形定位指数、溪流动力指数、修正的福尼尔指数、排水密度、到河流的距离、泥沙输运指数和岩性)用于生成洪水易发区划(FSZ),6 个参数(总人口、到医院的距离、土地利用/土地覆盖、人口密度、道路密度和到道路的距离)用于生成洪水易发区划。采用多重共线性分析来确定高度相关的自变量。敏感性研究用于评估 AHP 模型的有效性。结果表明,高洪水风险等级和极高洪水风险等级分别覆盖了 21.40% 和 8.26% 的区域。分别有 14.07%、27.01% 和 29.26% 的研究区域被划分为极低、低和中等洪水风险区。最后,利用接收器工作特性曲线和曲线下面积(AUC)分析对 FSZ 进行了验证。验证结果中较高的 AUC 值(0.741)证明了这种 AHP 方法的有效性。这项研究的结果将有助于规划人员、水文学家和水资源管理人员管理易受洪水影响的地区,减少潜在的危害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch

Floods are the most common and costly disasters worldwide, while spatial flood risk assessment is still challenging due to fewer observations and method limitations. In this study, the flood risk zonation in the Nile districts of the Damietta branch, Egypt, is delineated and assessed by integrating remote sensing with a geographic information system, and an analytical hierarchy process (AHP). Twelve thematic layers (elevation, slope, normalized difference vegetation index, topographic wetness index, modified normalized difference water index, topographic positioning index, stream power index, modified Fournier index, drainage density, distance to the river, sediment transport index, and lithology) are used for producing flood susceptibility zonation (FSZ) and six parameters (total population, distance to hospital, land use/land cover, population density, road density, and distance to road) are utilized for producing flood vulnerability zonation. Multicollinearity analysis is applied to identify highly correlated independent variables. Sensitivity studies have been used to assess the effectiveness of the AHP model. The results indicate that the high and very high flood risk classes cover 21.40% and 8.26% of the area, respectively. In 14.07%, 27.01%, and 29.26% of the research area, respectively, flood risk zones classified as very low, low, and moderate are found. Finally, FSZ is validated using the receiver operating characteristics curve and area under curve (AUC) analysis. A higher AUC value (0.741) in the validation findings demonstrated the validity of this AHP approach. The results of this study will help planners, hydrologists, and managers of water resources manage areas that are susceptible to flooding and reduce potential harm.

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来源期刊
Environmental Sciences Europe
Environmental Sciences Europe Environmental Science-Pollution
CiteScore
11.20
自引率
1.70%
发文量
110
审稿时长
13 weeks
期刊介绍: ESEU is an international journal, focusing primarily on Europe, with a broad scope covering all aspects of environmental sciences, including the main topic regulation. ESEU will discuss the entanglement between environmental sciences and regulation because, in recent years, there have been misunderstandings and even disagreement between stakeholders in these two areas. ESEU will help to improve the comprehension of issues between environmental sciences and regulation. ESEU will be an outlet from the German-speaking (DACH) countries to Europe and an inlet from Europe to the DACH countries regarding environmental sciences and regulation. Moreover, ESEU will facilitate the exchange of ideas and interaction between Europe and the DACH countries regarding environmental regulatory issues. Although Europe is at the center of ESEU, the journal will not exclude the rest of the world, because regulatory issues pertaining to environmental sciences can be fully seen only from a global perspective.
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