Flash floods are severe disasters that devastate the environment, society, and economy in arid regions. Due to the scarcity of observed data from prior incidents, flash flood hazard mapping (FFHM) using Remote Sensing (RS), Geographic Information System (GIS) and hydrological modeling elements has recently become a feasible method for the fundamental management of basins. El-Shamy approach is a straightforward, widely used method for FFHM. This is the first study to investigate the effect of a stream threshold (St) change on the results of El-Shamy approach. Furthermore, runoff peak discharge- and runoff volume-based flash flood hazard degrees (Rp-HD and Rv-HD) were explored. For El-Shamy approach, St = 0.1?km2 was found to be the best among the considered values for well-distributed estimates of flash flooding potential. A Receiver Operating Characteristic (ROC) curve using historical data was employed to evaluate the considered methods and revealed that El-Shamy suffered from a precision lack, with an Area Under Curve (AUC) equal to 0.36 and 0.45 for low and high hazard basins, respectively, indicating a slight reverse prediction tendency. While Rp-HD and Rv-HD attained a similarly significant and reliable accuracy, with an AUC equal to 1.0 and around 0.865 for low and high hazard basins, respectively. Moreover, Rp-HD was recommended due to its cautious prediction. Accordingly, the FFHM for the study area was presented and associated guiding sustainable management measures were suggested to help decision-makers partially achieve Sustainable Development Goals (SDGs).
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