In this study, an integrated approach has been adopted for optimum selection of locations for rain water harvesting (RWH) in Kohat district of Pakistan. Various thematic layers including runoff depth, land cover/land use, slope and drainage density have been incorporated as input to the analysis. Other biophysical criteria such as geological setup, soil texture and drainage streams characteristics were also taken into account. Drainage density and slope were derived from digital elevation model, and map of land use/land cover was prepared using supervised classification of multi-spectral Sentinel-2 images of the area. Aforementioned thematic layers are assigned respective weights of their importance and combined in GIS environment to form a RWH potential map of the region. The generated suitability map is classified into three potential zones: high, moderate and low suitability zones consisting of area 638 km² (21%), 1859 km² (62%) and 519 km² (17%), respectively. The suitability map has been used to mark accumulation points on the down streams as potential spots of water storage. In addition, site suitability of artificial structures for RWH consisting of farm ponds, check dams and percolation tanks has also been assessed, showing 3.2%, 3% and 4.5% of the total area as a fit for each of the structure, respectively. The derived suitability will aid policy makers to easily determine potential sites for RWH structures to store water and tackle acute paucity of water in the area.

中文翻译：

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基于RS和GIS的模型，用于雨水收集系统中的最佳选址：SCS-CN方法

在这项研究中，采用了一种综合方法来优化选择巴基斯坦Kohat地区雨水收集（RWH）的位置。包括径流深度，土地覆盖/土地利用，坡度和排水密度在内的各个专题层已纳入分析。还考虑了其​​他生物物理标准，例如地质构造，土壤质地和排水流特征。从数字高程模型导出排水密度和坡度，并使用该区域的多光谱Sentinel-2图像的监督分类来绘制土地利用/土地覆盖图。前述主题层被分配了各自的重要性权重，并在GIS环境中进行组合以形成该区域的RWH潜力图。生成的适用性地图分为三个潜在区域：²（21％），1859 km ²（62％）和519 km ²（17％）。适宜性图已被用于标记下游蓄水点作为蓄水的潜在地点。此外，还评估了人工结构对RWH的现场适应性，包括农场池塘，检查水坝和渗滤池，分别占总面积的3.2％，3％和4.5％。得出的适用性将帮助政策制定者轻松确定RWH结构的潜在地点，以储存水和解决该地区严重缺水的问题。