dc.contributor.author | Githui, Faith | |
dc.contributor.author | Mutua, Francis | |
dc.contributor.author | Bauwens, Willy | |
dc.date.accessioned | 2013-05-30T13:11:41Z | |
dc.date.available | 2013-05-30T13:11:41Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Hydrological Sciences Journal Volume 54, Issue 5, 2009 | en |
dc.identifier.uri | http://www.tandfonline.com/doi/abs/10.1623/hysj.54.5.899#preview | |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/27777 | |
dc.description.abstract | The SWAT model was used to investigate the impact of land-cover changes on the runoff of the River Nzoia catchment, Kenya. The model was calibrated against measured daily discharge, and land-cover changes were examined through classification of satellite images. Land-cover change scenarios were generated, namely the worst- and best-case scenarios. Historical land-cover change results showed that agricultural area increased from 39.6 to 64.3% between 1973 and 2001, while forest cover decreased from 12.3 to 7.0%. A comparison between 1970–1975 and 1980–1985 showed that land-cover changes accounted for a difference in surface runoff ranging from 55 to 68% between the two time periods. The land-cover scenarios used showed the magnitude of changes in runoff due to changes in the land covers considered. Compared to the 1980–1985 runoff, the land-cover scenarios generated changes in runoff of about −16% and 30% for the best and worst case scenarios respectively. | en |
dc.language.iso | en | en |
dc.title | Estimating the impacts of land cover change on runoff using SWAT: Case study: Nzoia catchment, Kenya | en |
dc.type | Article | en |