School of Natural Resources and Environmental Studies

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Author: search.filters.author.Mwangi, WambuguHas files: Yes

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    Application Of Hydrological Models In Poorly Gauged Watersheds: A Review Of The Usage Of The Soil And Water Assessment Tool (SWAT) In Kenya
    (International Journal of Scientific & Technology Research, 2017-08) Mwangi, Wambugu; Nyandega, Isaiah; Kıthiia, Shadrack
    In water-scarce developing countries, river basins are some of the most valued natural resources, but many are poorly gauged and have incomplete hydrological and climate records. In the recent years, tropical rivers are increasingly becoming erratic, with many hydrologists attributing this variability to combined effects of landscape-specific anthropogenic activities and climate change. Uncertainties about the impacts of climate change compound the challenges attributed to poor and often inconsistent river monitoring data. Under data-scarce conditions and with the increasing land use intensification and urbanization, modelling approaches become a useful tool in planning and management of water resources. In this paper, we review the application and usability of the Soil and Water Assessment Tool (SWAT) model in conventional planning practice in the management of water resources is poorly-gauged tropical watersheds of Kenya. We assess the technical implications of the model in Intergrated Water Resources management (IWRM) and its applicability as a planning and management tool for water resources in the era of climate change
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    Spatio-temporal dynamics of land use practices on rivers in tropical regions: A case study of Ruiru and Ndarugu Basins, Kiambu County, Kenya
    (2017-03) Mwangi, Wambugu; Isaiah, Nyandega; Shadrack, Kıthiia
    Land use dynamics are known to cause considerable modifications to the environment with broad and sometimes severe impacts on water quality and aquatic natural resources. In this study, the impacts of land use practices on water quality were estimated during the dry and wet seasons in Ruiru and Ndarugu Rivers, Kenya using remote sensing, geographic information systems and statistical techniques. A total of 12 sampling sites associated with three different land use types (forest, agriculture and urban) were selected. All water quality parameters were measured in situ in two dry seasons and two wet seasons and subjected to Kruskal Wallis statistical analyses. Significant variations were seen in water quality parameters between land use types. Higher temperatures were associated with urban dominated sub-basins, while dissolved oxygen was highest in forest sites. Turbidity was highest in agricultural sites and lowest in forested sites, but pH did not differ significantly across all sites. Seasonal impacts were recorded for most water quality parameters tested in all land use types, with agriculture and urban land use showing stronger impacts on water quality in the wet season than in the dry season. This study indicates that both agricultural and urban land use are key factors that affect water quality change. Land-use specific water conservation measures should be enhanced to limit both point and non-point sources of pollution in the study area
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