Rainwater harvesting in Modjo watershed, upper Awash River Basin, Ethiopia through remote sensing and fuzzy AHP
Rainwater harvesting in Modjo watershed, upper Awash River Basin, Ethiopia through remote sensing and fuzzy AHP
复制标题
通过遥感和模糊层次分析法在埃塞俄比亚阿瓦什河流域上游莫乔流域收集雨水
DOI：
10.1080/10106049.2022.2091158
复制
发表时间：
2022
影响因子：
3.8
通讯作者：
Sridhar Gummadi
中科院分区：
文献类型：
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作者：
Demisachew Yilma Gashaw;K. V. Suryabhagavan;D. Nedaw;Sridhar Gummadi
人类的一切活动和世界的全面发展都围绕着水这一基本生命物质展开。许多地方的供水主要通过雨水收集来增加。研究区需要大量的水用于农业，畜牧业和人类需求，特别是在每年的旱季。虽然有几种技术是流行的，以检测合适的RWH网站，他们的改进，特别是RWH在大型子集水区是非常需要的。因此，RS和GIS技术已经在使用中的模糊逻辑相结合，以确定和分类的网站适合RWH在埃塞俄比亚中部的Modjo流域。结果表明，研究区潜在可接受的地点被识别和分类为非常高度适合，高度适合，中度适合，低适合，非常低适合和限制的面积分别为18.1%，20.9%，20.3%，10.6%，3.1%和26.9%。因此，地理空间和层次分析法相结合的模型已被证明是非常成功的RWH网站检测。
Abstract All human activities and overall development of this world centre on the essential life substance water. Water supply at many places is augmented mainly through rainwater harvesting (RWH). The study area needs lot of water for agriculture, livestock and human needs especially during the yearly dry season. Although several techniques are in vogue to detect apt RWH sites, their improvement especially for RWH in large sub-catchment regions is much desired. Therefore, RS and GIS techniques already in use are integrated with fuzzy logic to identify and classify sites suitable for RWH in Modjo watershed in central Ethiopia. As a result, potentially acceptable sites in the study area were discerned and categorized as very highly suitable, highly suitable, moderately suitable, low suitable, very low suitable and constraints with 18.1%, 20.9%, 20.3%, 10.6%, 3.1% and 26.9% area, respectively. Thus, the model with geospatial and analytic hierarchy process combination has proved very successful in detecting RWH sites.