首页> 外文期刊>Journal of Degraded and Mining Lands Management >Potential rainwater harvesting suitable land selection and management by using GIS with MCDA in Ebenat District, Northwestern Ethiopia
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Potential rainwater harvesting suitable land selection and management by using GIS with MCDA in Ebenat District, Northwestern Ethiopia

机译:埃塞俄比亚埃比亚州埃比特区的MCDA含有GIS潜在雨水采伐和管理

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Rainwater harvesting (RWH) is the way to reduce the effects of mid-season dry spells and drought, which often reduce crop yields. Geographic information system (GIS) with multi-criteria decision making (MCDA) is a powerful tool to identify and solve spatial problems like the identification of the suitable site of RWH. Sentinel image, soil, metrological row data, geological data, and digital elevation model (DEM) data were the source of a dataset to undertake the preprocessing, manipulation, and analysis the suitable site identification by using GIS and remote sensing spatial analysis. More than seven parameters where identified based on an extensive literature review which is land use/land-cover, soil textural, rainfall, lineament, slope, runoff density and curve number, distance from settlement and road. The multi-criteria decision-making method was used for weight value estimation of each criterion and finally, the rainwater harvesting suitability map was generated. The potentially suitable site was grouped into four levels of suitability, which accounts in hectare 3,620, 16,0618, 69,867, and 14,010 ha of highly suitable, moderately suitable, less suitable, and restricted respectively from the total area coverage of 248,115 ha respectively.
机译:雨水收获(RWH)是减少季后期干法术和干旱影响的方法,这通常会降低作物产量。地理信息系统(GIS)具有多标准决策(MCDA)是一种强大的工具,可以识别和解决空间问题,如RWH的合适站点的识别。 Sentinel图像,土壤,计量行数据,地质数据和数字高度模型(DEM)数据是数据集的来源,用于通过使用GIS和遥感空间分析来进行预处理,操纵和分析合适的网站识别。基于广泛的文献综述识别的超过七个参数,该综述是土地使用/陆地覆盖,土壤纹理,降雨,划线,坡度,径流密度和曲线数,距离和道路的距离。多标准决策方法用于每个标准的重量值估计,最后,产生雨水收集适用性图。将可能合适的部位分为四种适当性,其在公顷的3,620,16,0618,69,867和14,010公顷的高度适当,适度,不太合适,并且分别从248,115公顷的总面积覆盖范围内限制。

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