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DEM Study on Hydrological Response in Makkah City, Saudi Arabia

Author

Listed:
  • Asep Hidayatulloh

    (Department of Hydrology and Water Resources Management, Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Anis Chaabani

    (Department of Hydrology and Water Resources Management, Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Lifu Zhang

    (The State Key Laboratory of Remote Sensing, Aerospace Information Institute, Chinese Academy of Sciences, Beijing 100101, China)

  • Mohamed Elhag

    (Department of Hydrology and Water Resources Management, Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    The State Key Laboratory of Remote Sensing, Aerospace Information Institute, Chinese Academy of Sciences, Beijing 100101, China
    Department of Geoinformation in Environmental Management, CI-HEAM/Mediterranean Agronomic Institute of Chania, 73100 Chania, Greece
    Department of Applied Geosciences, Faculty of Science, German University of Technology in Oman, Muscat 1816, Oman)

Abstract

The changes in catchments can be analyzed through the generation of DEM, which is important as input data in hydrologic modeling. This study aims to analyze the effect of anthropogenic activities on hydrological studies based on DEM comparison and GIUH hydrographs. The four DEM datasets (SRTM, ALOS, Copernicus, Sentinel-1) were compared to the topographic map of Makkah City and GPS data in order to assess the quality of the DEM elevation. The GIS Arc Hydro toolbox was used to extract morphometric and Horton–Strahler ratio characteristics to generate a GIUH hydrograph of the catchments of Wadi Nouman and Wadi Ibrahim inside Makkah City. Based on the DEM comparison, Copernicus and SRTM have the highest accuracy, with R 2 = 0.9788 and 0.9765, and the lowest RMSE, 3.89 m and 4.23 m, respectively. ALOS and Sentinel-1 have the lowest R 2 , 0.9687 and 0.9028, and the highest RMSE, 4.27 m and 6.31 m, respectively. GIUH Copernicus DEM on Wadi Nouman has a higher q p and lower t p (0.21 1/h and 2.66 h) than SRTM (0.20 1/h and 2.75 h), respectively. On Wadi Ibrahim, the SRTM has a greater q p and lower t p than Copernicus due to the wadi having two shapes. Based on the anthropogenic effect, the stream network in the mountain area is quite similar for SRTM and Copernicus due to the dominant influence of the mountainous relief and relatively inconsequential influence of anthropogenic activities and DEM noise. In the urban area, the variation of the stream network is high due to differing DEM noise and significant anthropogenic activities such as urban redevelopment. The Copernicus DEM has the best performance of the others, with high accuracy, less RMSE, and stream flow direction following the recent condition.

Suggested Citation

  • Asep Hidayatulloh & Anis Chaabani & Lifu Zhang & Mohamed Elhag, 2022. "DEM Study on Hydrological Response in Makkah City, Saudi Arabia," Sustainability, MDPI, vol. 14(20), pages 1-26, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13369-:d:944846
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    References listed on IDEAS

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    1. Jarbou Bahrawi & Hatem Ewea & Ahmed Kamis & Mohamed Elhag, 2020. "Potential flood risk due to urbanization expansion in arid environments, Saudi Arabia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 795-809, October.
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    Cited by:

    1. Mohamed Hafedh Hamza & Afnan Mohammed Saegh, 2023. "Flash Flood Risk Assessment Due to a Possible Dam Break in Urban Arid Environment, the New Um Al-Khair Dam Case Study, Jeddah, Saudi Arabia," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    2. Quansheng Li & Feiyue Li & Junting Guo & Li Guo & Shanshan Wang & Yaping Zhang & Mengyuan Li & Chengye Zhang, 2023. "The Synergistic Effect of Topographic Factors and Vegetation Indices on the Underground Coal Mine Utilizing Unmanned Aerial Vehicle Remote Sensing," IJERPH, MDPI, vol. 20(4), pages 1-23, February.

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