The potential streamflow responses to climate change in the upper Nzoia River basin are studied. The Soil and Water Assessment Tool (SWAT) was forced with monthly temperature and precipitation change scenarios for the periods 2011–2040 (2020s), 2041–2070 (2050s) and 2071–2100 (2080s). Data from 10 climate models and three greenhouse gases emission scenarios was downscaled using the delta change method and used in the SWAT model. Streamflow data for the periods 1986–1998 and 1973–1985 was used for model calibration and validation respectively.
Comparison between the simulated baseline and future streamflow shows that in the Koitobos and Kimilili watersheds, August to December streamflow is likely to be highly altered. In the Kuywa watershed, March to June flows is likely to change considerably due to climate change. Major streamflow changes are likely in March to June and August to November in the Rongai watershed. Projected changes differed between the four watersheds despite their proximity, indicating different sensitivities to climate change and uncertainty about the potential hydrological impacts of climate change in the area.
This document is an output of a CIFOR-led project, entitled: "Adaptation of people to climate change in East Africa: Ecosystem services, risk reduction and human well-being". (AdaptEA). This project is being implemented in collaboration with Makerere University, the Kenya Forestry Research Institute (KEFRI) and the World Agroforestry Centre (ICRAF). Primary funding for this project was provided through a grant from the Rockefeller Foundation (2011 CRD 306). Complementary funding was received from two CIFOR-led projects funded by AusAID (63560) and UNITAR (G.EGP.2011.03). Additional project information and publications are found on the project manager’s staff page, Aaron J.M. Russell.
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DOI:
https://doi.org/10.1016/j.ejrh.2014.12.001Altmetric score:
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Publication year
2015
Authors
Musau, J.; Sang, J.; Gathenya, J.; Luedeling, E.
Language
English
Keywords
climate change, hydrology, watershed management
Geographic
Kenya