## Abstract Soil and water conservation programmes in Kenya were not always successful due to experts' negligence of the role of farmers in problem identification and conservation planning. Using farmers' knowledge of soil surface morphology to assess soil productivity may stimulate farmers to part
Modelling soil erosion and sediment yield at a catchment scale: the case of Masinga catchment, Kenya
✍ Scribed by B. M. Mutua; A. Klik; W. Loiskandl
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 317 KB
- Volume
- 17
- Category
- Article
- ISSN
- 1085-3278
- DOI
- 10.1002/ldr.753
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✦ Synopsis
Abstract
Development of improved soil erosion and sediment yield prediction technology is required to provide catchment stakeholders with the tools they need to evaluate the impact of various management strategies on soil loss and sediment yield in order to plan for the optimal use of the land. In this paper, a newly developed approach is presented to predict the sources of sediment reaching the stream network within Masinga, a large‐scale rural catchment in Kenya. The study applies the revised universal soil loss equation (RUSLE) and a developed hillslope sediment delivery distributed (HSDD) model embedded in a geographical information system (GIS). The HSDD model estimates the sediment delivery ratio (SDR) on a cell‐by‐cell basis using the concept of runoff travel time as a function of catchment characteristics. The model performance was verified by comparing predicted and measured plot runoff and sediment yield. The results show a fairly good relationship between predicted and measured sediment yield (R^2^=0·82). The predicted results show that the developed modelling approach can be used as a major tool to estimate spatial soil erosion and sediment yield at a catchment scale. Copyright © 2006 John Wiley & Sons, Ltd.
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