Hydrological risks based on basin characteristics based on modeling and automated analysis using GIS and remote sensing

Objectives: The current study aimed to conduct a comprehensive geomorphological survey of the region for the most important environmental stimuli of risks through field study and remote sensing data. It also aimed to identify the values ​​of morphometric and hydrological coefficients, and finally formulate appropriate models based on mathematical methods and multivariate analysis.Methodology: The research relied on the regional and analytical approach in order to provide the required data on phenomena and delve into the surrounding conditions, and use space visualizations and the Digital Elevation Model (DEM) and the deductive approach in producing the outputs of the technologies and analyzing them to reach the desired results.Results: After analyzing the data of the current research, the results showed that the actual reality of the road requires some measures to reduce the effects of floods, the most important of which is that Road 12 should be low in its level in a way that allows water to pass without any retention, which exacerbates its danger on the road, as the road is exposed to collapse due to the excess loads formed by flood waters carrying large amounts of sediments that move at high speeds, and the road that is higher than the valley level cannot cope with these loads.Conclusion: The study area varies among itself in terms of the degrees of hydrological risks and in terms of the areas it covers and the extent of its impact on the studied road, as a group of natural characteristics combined in distributing those levels of that risk, and the rates of risk degrees reached (67.4) for the first model and (68.6) for the second model, and from this the study area was divided into five levels.