TY - JOUR AU - Ashraf Abd Elkarim, AU - Mohsen M. Awawdeh, AU - Haya M. Alogayell, AU - Seham S. S. Al-Alola , PY - 2020/06/27 Y2 - 2024/03/29 TI - INTERGRATION REMOTE SENSING AND HYDROLOGIC, HYDROULIC MODELLING ON ASSESSMENT FLOOD RISK AND MITIGATION: AL-LITH CITY, KSA JF - GEOMATE Journal JA - INTERNATIONAL JOURNAL OF GEOMATE VL - 18 IS - 70 SE - Articles DO - UR - https://geomatejournal.com/geomate/article/view/647 SP - 252-280 AB - <p>This study aims to evaluate and identify potential floods in coastal areas with simple slopes of the Al-Lith valley basin, and to identify urban areas exposed to flooding with flood water in the coastal city of Al-Lith during the period between 1988-2019 as a model for the coastal city of Saudi Arabia, and designing strategies to mitigate the effects of floods and the establishment of a Department of Urban Planning Flood Risk. These are very important things for political and planning decision-makers, as the city suffers from repeated <br>exposure to the risk of floods as a result of its occurrence directly below the Al-Lith valley basin. In order to reach these goals, the (Light Detection and Ranging, Lidar) data was analyzed to build and develop a twodimensional model of the depth, speed and spread of water using a hydraulic model (Hydrologic Engineering Center-River Analysis System, HEC-RAS) to calculate the risk matrix of floods. Changes in Earth's use of the city of Al-Lith were monitored by analyzing consecutive satellite visualizations made by the American satellite Landsat in the years 1988, 2000, 2013, and 2019. The hydrological model (Hydrologic Engineering CenterHydrologic Modelling System, HEC-HMS) was applied in calculating the floods hydrograph curve for the AlLith Valley basin during different return periods, and estimating the calculation of the amounts of flood water and flow rates depending on the (SCS Unit Hydrograph) method. </p> ER -