| dc.description.abstract |
Over the past years the population within Baringo has been increasing. This has lead to the increase of intense human activities such as livestock rearing, charcoal burning, fishing and farming. This activities has negatively affected the catchment basin of lake Baringo by increasing the sediments deposited in the lake. This study was aimed at predicting soil erosion risk in Lake Baringo basin in Baringo county using Revised Universal Soil Loss Equation (RUSLE) model, GIS and Remote Sensing. The various
RUSLE factors were estimated using datasets obtained from CHIRPS, FAO, USGS, and RCMRD. All the parameters were represented in raster format and they were multiplied in ArcMap raster calculator to produce potential soil loss maps. It was realized that over the years the sediment yields have been increasing. The sediment yields in the year 1990 was estimated to be approximately 300 tonnes per hectare per year while that of the year 2018 was 5000 tonnes per hectare per year. A linear regression analysis was perfomed on the RUSLE parameters to come up with a prediction equation that can estimate the potential soil loss given all the RUSLE parameters. |
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