Simulation of Urban Areas Exposed to Hazardous Flash Flooding Scenarios in Hail City

According to the United Nations (UN), an additional 1.35 billion people will live in cities by 2030. Well-planned measures are essential for reducing risk of flash floods. Flash floods typically inflict more damage densely populated areas. The province Hail encompasses 120,000 square kilometers, or approximately 6% total land area Kingdom Saudi Arabia. Due its innate physiographic and geologic character, city is susceptible a wide variety geo-environmental risks such as sand drifts, floods, rock falls. aim this work evaluate rate urban sprawl region using remote sensing data identify areas that would be affected simulated worst-case From 1984 2022, global urbanization increased from 467 713% region. This very high expansion, which means number exposed highest level flood rising every year. With Gridded Surface Subsurface Hydrologic Analysis (GSSHA), range hydrologic scenarios can simulated. sources soil type, infiltration, initial moisture were utilized create coverage index maps. To generate virtual we ran GSSHA model within Watershed Modeling System (WMS) program hazard map flooding. provides suitable method based on open access help planners developing countries analysis