This study evaluated the spatial distribution of groundwater potential zones in Kabul Province, Afghanistan using the geospatial multi-influencing factor approach. The influencing parameters employed for the assessment of groundwater potential zones were land slope, geology, soil type, land use/land cover, lineament density, rainfall, and drainage density. The subclasses within each influencing parameter were subdivided based on their influence on groundwater potential as major, minor, and no effect, and were subsequently assigned a score value. The combined score value of these parameters was used for calculating their relative weights. The delineated groundwater potential zones were classified in four groups, i.e., poor, moderate, good, and very good. The study results revealed that zones with a very good groundwater potential covered an area of 355 km² (2% of the total area), good 1524 km² (20%), moderate 2251 km² (73%), and poor 477 km² (5%). The study concluded that the geospatial-assisted multi-influencing factor approach was very useful and efficient technique for the assessment of groundwater potential zones and can be effectively employed to enhance the conceptual understanding of groundwater resources of Kabul Basin, Afghanistan.

本研究使用地理空间多影响因素方法评估了阿富汗喀布尔省地下水潜在区的空间分布。用于评估地下水潜力区的影响参数是土地坡度、地质、土壤类型、土地利用/土地覆盖、线性密度、降雨量和排水密度。每个影响参数内的子类根据它们对地下水潜力的影响细分为主要、次要和无影响，然后分配一个分值。这些参数的组合分值用于计算它们的相对权重。划定的地下水潜力区分为四组，即差、中等、好和非常好。²（占总面积的 2%），良好 1524 km ² (20%)，中等 2251 km ² (73%)，差 477 km ² (5%)。该研究得出的结论是，地理空间辅助多影响因素方法是评估地下水潜在区的非常有用和有效的技术，可以有效地用于增强对阿富汗喀布尔盆地地下水资源的概念理解。