Quantifying the influence of climate change on streamflow of Rietspruit sub-basin, South Africa

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dc.contributor.authorBanda, Vincent Dzulani
dc.contributor.authorKanyerere, Thokozani
dc.contributor.authorDzwairo, Rimuka Bloodless
dc.date.accessioned2025-01-17T09:14:07Z
dc.date.available2025-01-17T09:14:07Z
dc.date.issued2024
dc.description.abstractThis study integrated climate projections from five global climate models (GCMs) into the soil and water assessment tool to evaluate the potential impact of climate alterations on the Rietspruit River sub-basin under two representative concentration pathways (RCP4.5 and 8.5). The model’s performance was evaluated based on the coefficient of determination (R2), percent bias (PBIAS), Nash–Sutcliffe efficiency (NSE), probability (P)-factor and correlation coefficient (R)-factor. Calibration results showed an R2 of 0.62, NSE of 0.60, PBIAS of 20, P-factor of 0.86 and R-factor of 0.91, while validation produced an R2 of 0.64, NSE of 0.61, PBIAS of 40, P-factor of 0.85 and R-factor of 1.22. Precipitation is predicted to increase under both RCPs. Maximum temperature is projected to increase under both RCPs, with a major increase in the winter months. Minimum temperatures are projected to decrease under RCP4.5 in the near (0.99 °C) and mid (0.23 °C) futures, while the far future is projected to experience an increase of 0.14 °C. Precipitation and temperature changes correspond to increases in streamflow by an average of 53% (RCP4.5) and 47% (RCP8.5)
dc.identifier.citationPandit, S., Shimada, S. and Dube, T., 2024. Selected Driver Variables for the Simulation of Land-Use and Land-Cover Change for the Republic of Djibouti: A Study from Semi-Arid Region. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, pp.555-565.
dc.identifier.urihttps://doi.org/10.2166/wcc.2024.690
dc.identifier.urihttps://hdl.handle.net/10566/19806
dc.language.isoen
dc.publisherIWA Publishing
dc.subjectglobal climate models
dc.subjecthydrological modelling
dc.subjectland use
dc.subjectrepresentative concentration pathways
dc.subjectSWAT model
dc.titleQuantifying the influence of climate change on streamflow of Rietspruit sub-basin, South Africa
dc.typeArticle

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