2010
DOI: 10.5194/hessd-7-5851-2010
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A modeling approach to determine the impacts of land use and climate change scenarios on the water flux of the upper Mara River

Abstract: With the flow of the Mara River becoming increasingly erratic especially in the upper reaches, attention has been directed to land use change as the major cause of this problem. The semi-distributed hydrological model Soil and Water Assessment Tool (SWAT) and Landsat imagery were utilized in the upper Mara River Basin in order to 1) map existing field scale land use practices in order to determine their impact 2) determine the impacts of land use change on water flux; and 3) determine the impacts of rainfall (… Show more

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Cited by 8 publications
(5 citation statements)
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“…Mango et al . () used SWAT to explore the impacts of LULC and climate change scenarios on the water flux of the upper Mara River in Africa. They found that deforestation resulted in a slightly more erratic discharge while precipitation and air temperature changes had a more predictable impact on the discharge and water balance components.…”
Section: Introductionmentioning
confidence: 99%
“…Mango et al . () used SWAT to explore the impacts of LULC and climate change scenarios on the water flux of the upper Mara River in Africa. They found that deforestation resulted in a slightly more erratic discharge while precipitation and air temperature changes had a more predictable impact on the discharge and water balance components.…”
Section: Introductionmentioning
confidence: 99%
“…Climate change and land use/cover change alter hydrological processes such as surface runoff, base flow, evapotranspiration, and streamflow and impact the variability of these processes over time and space ( Mango et al., 2010 ; Rahman et al., 2015 ). With the advancement in hydrological modeling, researchers globally have been able to investigate the impact of climate change and land use/cover change on hydrology at different scales ( Mahe, 2006 ; Lafontaine et al., 2015 ; Pervez and Henebry, 2015 ; Zhang et al., 2016 ; Thi et al., 2017 ; Yang et al., 2019 ; Osei et al., 2019 ; Nyatuame et al., 2020 ; Ragab, 2020 ; Chim et al., 2021 ; Hu et al., 2021 ; Teklay et al., 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Modelling is an improved alternative approach to data analysis. Modelling can potentially provide a better understanding of changes in surface and groundwater processes, especially where climatic variability might mask other signals, as well as providing future predictive capabilities (Bouwer et al, 2006; Garg, Singh, et al, 2020; Mango et al, 2010; Singh et al, 2020; Sridhar & Nayak, 2010; Zhan et al, 2014). Typically, several studies have focussed on either surface water hydrology or groundwater hydrology of the catchment using conceptual models.…”
Section: Introductionmentioning
confidence: 99%