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Aredo, Mesfin Reta, Dinka, Megersa Olumana. (1404). Assessment of surface runoff response to climate change in a Weyib Watershed using the WeSpass-M model. سامانه مدیریت نشریات علمی, 5(ویژه نامه 1), 233-251. doi: 10.22098/mmws.2025.18248.1666
Mesfin Reta Aredo; Megersa Olumana Dinka. "Assessment of surface runoff response to climate change in a Weyib Watershed using the WeSpass-M model". سامانه مدیریت نشریات علمی, 5, ویژه نامه 1, 1404, 233-251. doi: 10.22098/mmws.2025.18248.1666
Aredo, Mesfin Reta, Dinka, Megersa Olumana. (1404). 'Assessment of surface runoff response to climate change in a Weyib Watershed using the WeSpass-M model', سامانه مدیریت نشریات علمی, 5(ویژه نامه 1), pp. 233-251. doi: 10.22098/mmws.2025.18248.1666
Aredo, Mesfin Reta, Dinka, Megersa Olumana. Assessment of surface runoff response to climate change in a Weyib Watershed using the WeSpass-M model. سامانه مدیریت نشریات علمی, 1404; 5(ویژه نامه 1): 233-251. doi: 10.22098/mmws.2025.18248.1666

Assessment of surface runoff response to climate change in a Weyib Watershed using the WeSpass-M model

مدل سازی و مدیریت آب و خاک
مقاله 14، دوره 5، ویژه نامه 1، 1404، صفحه 233-251    اصل مقاله (1.87 M)
نوع مقاله: Special issue on "Climate Change and Effects on Water and Soil"
شناسه دیجیتال (DOI): 10.22098/mmws.2025.18248.1666
نویسندگان
Mesfin Reta Aredo* ؛ Megersa Olumana Dinka
Department of Civil Engineering Sciences, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa
چکیده
Comprehending the impact of climate change on surface runoff is imperative to safeguard against excessive inundation vulnerability and management. This study estimates climate change effects on surface runoff using an ensemble of five climate models and the WetSpass-M model for the baseline period (1986 to 2015), mid-term (2031 to 2060), and long-term (2071 to 2100) periods. The downloaded climate models (CNRM-CM5, GFDL-ESM2M, IPSL-CM5A-MR, MPI-ESM-LR, and NorESM1-M) were downscaled by a dynamic downscaling technique and bias corrected by linear scaling. The model performance statistical indices, such as R2 (0.90 and 0.85), NSE (0.95 and 0.89), and RMSE (4.19 and 9.94), were obtained by comparing the WetSpass-M model and filtered baseflow and direct runoff, respectively. The mean rainfall and temperature have been increasing compared to baseline period. The overall average monthly runoff has been rising with 8.70%, 18.22%, 6.53%, and 36.09% for RCP4.5 (MidT4.5) for the mid-term, RCP4.5 (LongT4.5) for the long-term, RCP8.5 (MidT8.5) for the mid-term, and RCP8.5 (LongT8.5) for the long-term, respectively. Seasonally, surface runoff is projected to increase throughout the entire season, except for autumn. Autumn season’s surface runoff has been dropping by 23.56%, 38.85%, 29.12%, and 43.02% for MidT4.5, LongT4.5, MidT8.5, and LongT8.5, respectively. Annually, surface runoff will increase by 8.3%, 31.20%, 1.80%, and 49.30% for the MidT4.5, LongT4.5, MidT8.5, and LongT8.5, respectively. Moreover, the findings conclusively underscored a dramatically rising surface runoff due to climate change, causing inundation in central and downstream watershed areas. Therefore, this increasing surface runoff will potentially affect daily life and weaken agricultural productivity; thus, reforestation and water conservation measures are required to lessen the adverse effects.
کلیدواژه‌ها
Climate Change؛ CORDEX؛ GCM؛ RCP؛ Surface Runoff؛ WetSpass-M model
مراجع

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