Globally, flash floods are the most damaging natural hazards, because of its sudden nature and difficulty in forecasting that restrains emergency responses. Flash floods triggered by thunderstorms are frequent in the high mountainous area of Hindukush Himalaya in the north of Pakistan. The current study employed two widely used approaches for flash flood risk modeling, i.e., morphometric ranking approaches (MRAs) and El-Shamy’s approach to analyzing their effectiveness for flash flood susceptibility modeling in Swat river watershed, district Swat, Pakistan. The digital elevation model was utilized to delineate the watershed and drainage network using the ArcHydro tool of ArcGIS. A total of 15 morphometric parameters have been used for flash flood modeling. The analysis suggests that the Swat river watershed consists of 17 sub-basins. The MRA-based flash flood risk assessment suggests that sub-basins B1 and B2 (12% of total sub-basins) are highly susceptible to flash flooding. While sub-basins B4, B6, B11, B13, and B17 (59% of the total sub-basin) are moderately susceptible to flash flood risk. El-Shamy-based modeling suggests that sub-basins B12, B14, and B16 (18% of total sub-basins) have high flood susceptibility while sub-basin B5 has the lowest. The field observation and 2010 flood reports by WHO and NDMA suggest that the flash flood susceptibility modeling results by the MRA are more accurate as compared with El-Shamy’s approach. The results of the study perceived to help execute appropriate remedial measures to extenuate the potential flash floods in the study area.

在全球范围内，山洪暴发是自然灾害中最具破坏力的自然灾害，因为它的突发性和难以预测的特性限制了应急响应。在巴基斯坦北部的欣杜库什·喜马拉雅山高山区，经常发生雷暴引发的山洪暴发。当前的研究采用了两种广泛使用的山洪暴发风险建模方法，即形态计量等级法（MRA）和El-Shamy的方法来分析其对巴基斯坦斯瓦特地区斯瓦特河流域的山洪敏感性分析的有效性。使用数字高程模型通过ArcGIS的ArcHydro工具来描绘流域和排水网络。总共有15个形态计量学参数已用于山洪泛滥建模。分析表明，斯瓦特河流域由17个子流域组成。基于MRA的山洪风险评估表明，子流域B1和B2（占子流域总数的12％）极易遭受山洪泛滥的影响。子流域B4，B6，B11，B13和B17（占子流域总数的59％）中等程度易受山洪暴发的危险。基于El-Shamy的模型表明，子盆地B12，B14和B16（占子盆地总数的18％）具有较高的洪水敏感性，而子盆地B5的洪水敏感性最低。WHO和NDMA的现场观察和2010年洪水报告表明，与El-Shamy的方法相比，MRA的山洪敏感性分析结果更为准确。研究结果被认为有助于执行适当的补救措施，以减轻研究区内潜在的山洪暴发。