Prediction of Runoff in Watersheds Located within Data-Scarce Regions

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 Yavari, Wan Hanna Melini Wan Mohtar, Amirrudin Ahmad, Nadiah Wan Rasdi and Taimur Khan
Additional contact information
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
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
Nadiah Wan Rasdi: Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Terengganu 21300, Terengganu, Malaysia
Taimur Khan: Department of Civil Engineering, College of Engineering, Najran University, Najran 61441, Saudi Arabia

Sustainability, 2022, vol. 14, issue 13, 1-16

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.

Keywords: rainfall–runoff relation; hydrologic modelling; design flood; catchment modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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