SWAT simulation of streamflow in Sironko catchment on Mt. Elgon, Eastern Uganda

We determined the 2025-2040 impact of climate and land use land cover change on streamflow in the Sironko catchment. LULCC was predicted using Cellular Automata Markov. The climate was statistically downscaled from the 29 GCMs of the IPCC Fifth Coupled Model Intercomparison Project using the delta method of the Agricultural Model Inter-comparison and Improvement Project under five climate regimes and Representative Concentration Pathways 4.5 and 8.5. Streamflow was simulated using the Soil and Water Assessment Tool. One sample t-test confirmed significant differences in the 1980–2010 and 2025–2040 streamflow. A second-degree regression model computed the contributions of climate and LULCC on streamflow. Significant differences (p < 0.05) were detected in the 1980–2010 and 2025–2040 streamflow. Climate change will increase streamflow by 7.6–49.20% and 6.50–59.20% under RCP 4.5 and RCP 8.5 while LULCC will increase streamflow by 4.10–39.20% and 1.30–45.30% under RCP 4.5 and RCP 8.5 calling for a multifaceted approach to mitigate the identified impacts.

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Publication Details

Journal
Journal of Applied Water Engineering and Research
Published
2025-04-25
DOI
https://doi.org/10.1080/23249676.2025.2492599
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

SWAT simulation of streamflow in Sironko catchment on Mt. Elgon, Eastern Uganda

Majaliwa Mwanjalolo, Justine Kilama Luwa, Espoir Mukengere Bagula, Petter Pilesjö et al.
Journal of Applied Water Engineering and Research
Hydrology and Watershed Management Studies
article

SWAT simulation of streamflow in Sironko catchment on Mt. Elgon, Eastern Uganda

Majaliwa Mwanjalolo, Justine Kilama Luwa, Espoir Mukengere Bagula, Petter Pilesjö, Yazidhi Bamutaze
article en

Abstract

We determined the 2025-2040 impact of climate and land use land cover change on streamflow in the Sironko catchment. LULCC was predicted using Cellular Automata Markov. The climate was statistically downscaled from the 29 GCMs of the IPCC Fifth Coupled Model Intercomparison Project using the delta method of the Agricultural Model Inter-comparison and Improvement Project under five climate regimes and Representative Concentration Pathways 4.5 and 8.5. Streamflow was simulated using the Soil and Water Assessment Tool. One sample t-test confirmed significant differences in the 1980–2010 and 2025–2040 streamflow. A second-degree regression model computed the contributions of climate and LULCC on streamflow. Significant differences (p < 0.05) were detected in the 1980–2010 and 2025–2040 streamflow. Climate change will increase streamflow by 7.6–49.20% and 6.50–59.20% under RCP 4.5 and RCP 8.5 while LULCC will increase streamflow by 4.10–39.20% and 1.30–45.30% under RCP 4.5 and RCP 8.5 calling for a multifaceted approach to mitigate the identified impacts.

Journal of Applied Water Engineering and ResearchVol. 13(3)
Gulu University (UG), Lund University (SE), Institut Supérieur de Développement Rural (CD), Université Evangélique en Afrique (CD), Makerere University (UG)
Styrelsen för Internationellt Utvecklingssamarbete, Makerere University
Openalex Percentile: Top 90%
Hydrology and Watershed Management Studies
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SWAT simulation of streamflow in Sironko catchment on Mt. Elgon, Eastern Uganda — Majaliwa Mwanjalolo, Justine Kilama Luwa, et al. · Journal of Applied Water Engineering and Research (2025) | TGRS Research Map | TGRS