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Mean runoff coefficient estimation for ungauged streams in the Kingdom of Saudi Arabia

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Abstract

Runoff coefficient estimation in ungauged watersheds has a priority for rain water harvesting and management of runoff water, for domestic and agriculture activities, in semi-arid and arid regions. To estimate mean runoff coefficient (C Re) for ungauged streams, Pearson's coefficient of linear correlation (r) was measured. The method of linear regression (y = mx + c) was applied for 16 gauged catchments representing several regions in the Kingdom of Saudi Arabia, such as Al Qassim, Al Madinah, Riyadh, Asir, Makkah, and Jazan. The studied catchments were equally divided into two groups based on their main streams slopes; group A includes eight gauged streams having main stream slope less than 0.01, where group B includes eight gauged streams having main stream slope equal to or greater than 0.01. The result yields the constant of the linear regression for each group and the mean runoff coefficient of basin by an independent value (basin slope) for group A and an independent value (stream slope) for group B. The results indicate that the measured runoff coefficient (C Rm) and the estimated runoff coefficient (C Re) are almost equal to each other.

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Acknowledgments

The authors are greatly indebted to Prof. Dr. Zekai Şen, Faculty of Civil Engineering, Istanbul Technical University (ITU), for critical reading and valuable comments on the manuscript. Great appreciation to all colleagues in the Department of Water Resources & Development, including Hydrology Division members, Ministry of Water & Electricity, K.S.A. for providing the rainfall and runoff data that were used in this study. The authors would also like to acknowledge the members of Information Technology Division (ITD) for helping in map processing.

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Correspondence to Abdul Aziz Saleh Al-Hasan.

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Al-Hasan, A.A.S., Mattar, Y.ES. Mean runoff coefficient estimation for ungauged streams in the Kingdom of Saudi Arabia. Arab J Geosci 7, 2019–2029 (2014). https://doi.org/10.1007/s12517-013-0892-7

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  • DOI: https://doi.org/10.1007/s12517-013-0892-7

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