GIS-based multi-criteria decision making for identifying rainwater harvesting sites

IF 5.7 3区 环境科学与生态学 Q1 WATER RESOURCES
Waqed H. Hassan, Karrar Mahdi, Zahraa K. Kadhim
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Abstract

The Middle East region, with its arid and semi-arid climate, is one of the regions most affected by climate change and water scarcity. To address the severe issue of water scarcity in the western region of Iraq, this study identifies optimal potential rainwater harvesting (RWH) locations. Geographic Information System (GIS) and multi-criteria decision-making (MCDM) techniques were employed to generate themed layers for RWH. The nine primary criteria considered were rainfall, elevation, slope, stream order, soil texture, land use, groundwater depth, distance from the lake, and runoff depth. A weighted overlay assessment was used to identify probable RWH locations. The analytical hierarchical process was used to weight criteria depending on the study region, hydrological and socioeconomic parameters, and literature. The consistency ratio (CR = 3.16%) was calculated to validate the optimum weights of the comparison components, from which it was found that the weights assigned to each criterion were appropriate for comparative purposes. The results indicated that the optimum location (very high suitability) for RWH is mostly in middle regions of the study area, covering 286 km2 (13%), while for the other categories, high suitability is at 23% (498 km2), medium suitability at 29% (636 km2), low suitability at 21% (462 km2), and very low suitability at 14% (305 km2). Sensitivity analysis was used to identify the relative importance of the parameters and determine how each of the nine criteria influences the optimal RWH sites. These findings can assist decision makers and planners in devising strategies to mitigate the effects of climate change and increase any reclaimed area for agriculture.

基于gis的雨水收集点多准则决策
中东地区气候干旱、半干旱,是受气候变化和缺水影响最严重的地区之一。为了解决伊拉克西部地区严重的水资源短缺问题,本研究确定了潜在的最佳雨水收集(RWH)地点。采用地理信息系统(GIS)和多准则决策(MCDM)技术生成RWH主题层。考虑的九个主要标准是降雨、海拔、坡度、溪流顺序、土壤质地、土地利用、地下水深度、与湖泊的距离和径流深度。加权叠加评估用于确定可能的RWH位置。根据研究区域、水文和社会经济参数以及文献,采用层次分析法对标准进行加权。计算一致性比(CR = 3.16%)以验证比较成分的最佳权重,从中发现分配给每个标准的权重适合比较目的。结果表明:水乡水乡的适宜性(非常高适宜性)主要集中在研究区中部,面积为286 km2(13%),其他类群的适宜性依次为高适宜性(498 km2)占23%,中等适宜性(636 km2)占29%,低适宜性(462 km2)占21%,极低适宜性(305 km2)占14%。敏感性分析用于确定参数的相对重要性,并确定9个标准中每个标准如何影响最佳RWH地点。这些发现可以帮助决策者和规划者制定策略,以减轻气候变化的影响,并增加任何开垦的农业面积。
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
Applied Water Science
Applied Water Science WATER RESOURCES-
CiteScore
9.90
自引率
3.60%
发文量
268
审稿时长
13 weeks
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