The Application of the Analytic Hierarchy Process and GIS to Map Suitable Rainwater Harvesting Sites in (Semi-) Arid Regions in Jordan

Q4 Social Sciences
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引用次数: 0

Abstract

The current study is based on the evaluation of the assessment of rainwater harvesting (RWH) in (semi- arid) regions. Where, this study aimed to assess the implementation of RWH by developing a methodology that can be easily applied to identify rainwater harvesting locations in Hasa Basin in southwest Jordan, through integration between the Multiple Criteria Decision Models (MCDM) using an analytic hierarchy process (AHP), and Geographic Information System (GIS). The main factors considered to achieve the aim of the study were rainfall intensity, runoff, slope, flood susceptibility, soil texture, geology, land use/ cover (LULC), elevation, rivers, faults, settlement centers, roads, wells. These were reclassified and weighted to map the levels of rainwater harvesting in the study area. Rainwater harvesting suitable sites map obtained for the study area showed that areas with high and very high suitability formed, respectively, about 11.14% and 1.17%, while areas with low and very low suitability, in contrast, constituted about 46.09% and 9.68 %, respectively, of the total area of the study area.
层次分析法和GIS在约旦(半)干旱区雨水集蓄选址中的应用
目前的研究是基于对(半干旱)地区雨水收集(RWH)的评估。其中,本研究旨在通过开发一种方法来评估RWH的实施情况,该方法可以很容易地应用于确定约旦西南部哈萨盆地的雨水收集位置,通过使用层次分析法(AHP)的多标准决策模型(MCDM)和地理信息系统(GIS)之间的集成。实现研究目的的主要因素是降雨强度、径流、坡度、洪水敏感性、土壤质地、地质、土地利用/覆盖(LULC)、海拔、河流、断层、沉降中心、道路、水井。对这些数据进行了重新分类和加权,以绘制研究区域的雨水收集水平图。研究区雨水收集适宜场地图显示,适宜性高和极高的区域分别约占11.14%和1.17%,而适宜性低和极低的区域分别占研究区总面积的46.09%和9.68%。
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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