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Prediction of Runoff in Watersheds Located within Data-Scarce Regions

Author

Listed:
  • Abdulnoor A. J. Ghanim

    (Department of Civil Engineering, College of Engineering, Najran University, Najran 61441, Saudi Arabia)

  • Salmia Beddu

    (Department of Civil Engineering, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang 43000, Selangor Darul Ehsan, Malaysia)

  • Teh Sabariah Binti Abd Manan

    (Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Terengganu 21300, Terengganu, Malaysia)

  • Saleh H. Al Yami

    (Department of Civil Engineering, College of Engineering, Najran University, Najran 61441, Saudi Arabia)

  • Muhammad Irfan

    (Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia)

  • Salim Nasar Faraj Mursal

    (Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia)

  • Nur Liyana Mohd Kamal

    (Department of Civil Engineering, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang 43000, Selangor Darul Ehsan, Malaysia)

  • Daud Mohamad

    (Department of Civil Engineering, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang 43000, Selangor Darul Ehsan, Malaysia)

  • Affiani Machmudah

    (Industrial Engineering, Faculty of Advanced Technology and Multidisciplinary, Universitas Airlangga, Jalan Mulyorejo, Kampus C, Surabaya 60115, East Java, Indonesia
    Hydrodynamics Technology Research Center, National Research and Innovation Agency (BRIN), Jl. Hidro Dinamika, Keputih, Sukolilo, Surabaya 60112, East Java, Indonesia)

  • Saba Yavari

    (Civil and Environmental Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia)

  • Wan Hanna Melini Wan Mohtar

    (Civil Engineering Department, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia)

  • Amirrudin Ahmad

    (Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Terengganu 21300, Terengganu, Malaysia
    Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu Darul Iman, Malaysia)

  • Nadiah Wan Rasdi

    (Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Terengganu 21300, Terengganu, Malaysia
    Faculty of Fisheries and Food Science, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu Darul Iman, Malaysia)

  • Taimur Khan

    (Department of Civil Engineering, College of Engineering, Najran University, Najran 61441, Saudi Arabia
    Civil and Environmental Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia
    Dr. Taimur Khan son of Abdar Khan was an expert in Environmental Engineering, Wastewater Engineering and Water Resources Engineering. An intelligent young man from Swat KPK, a scientist, a loyal son, a dear brother, a great uncle, a thoughtful person, beloved by his family members and friends. Al-Fatihah (Deceased: 28 February 2022).)

Abstract

The interest in the use of mathematical models for the simulation of hydrological processes has largely increased especially in the prediction of runoff. It is the subject of extreme research among engineers and hydrologists. This study attempts to develop a simple conceptual model that reflects the features of the arid environment where the availability of hydrological data is scarce. The model simulates an hourly streamflow hydrograph and the peak flow rate for any given storm. Hourly rainfall, potential evapotranspiration, and streamflow record are the significant input prerequisites for this model. The proposed model applied two (2) different hydrologic routing techniques: the time area curve method (wetted area of the catchment) and the Muskingum method (catchment main channel). The model was calibrated and analyzed based on the data collected from arid catchment in the center of Jordan. The model performance was evaluated via goodness of fit. The simulation of the proposed model fits both (a) observed and simulated streamflow and (b) observed and simulated peak flow rate. The model has the potential to be used for peak discharges’ prediction during a storm period. The modeling approach described in this study has to be tested in additional catchments with appropriate data length in order to attain reliable model parameters.

Suggested Citation

  • Abdulnoor A. J. Ghanim & Salmia Beddu & Teh Sabariah Binti Abd Manan & Saleh H. Al Yami & Muhammad Irfan & Salim Nasar Faraj Mursal & Nur Liyana Mohd Kamal & Daud Mohamad & Affiani Machmudah & Saba Ya, 2022. "Prediction of Runoff in Watersheds Located within Data-Scarce Regions," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7986-:d:852432
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    Citations

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    Cited by:

    1. Abdulnoor A. J. Ghanim, 2023. "Monthly Water Balance of Ungauged Watersheds Using Empirical and Conceptual Models: A Case Study of the Semiarid Mountainous Watersheds, Southwest of Saudi Arabia," Sustainability, MDPI, vol. 15(11), pages 1-22, May.

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