Soil erosion prediction using RUSLE for central Kenyan highland conditions
Soil erosion by water is serious global problem. In Africa, about 5 Mg ha-1 of productive topsoil is lost to lakes and oceans each year. This study was conducted at the Kianjuki catchment in central Kenya to predict annual soil loss using the Revised Universal Soil Loss Equation (RUSLE Version 1.06) to determine the erosion hazard in the area and target locations for appropriate initiation of conservation measures. All factors used in RUSLE were calculated for the catchment using local data. The rainfall erosivity R-factor was 8527 MJ mm ha-1 h-1 per year and the annual average soil erodibility K-factor was 0.016 Mg h MJ-1 mm-1. Slopes in the catchment varied between 0 and 53
Main Authors: | , , , , |
---|---|
Format: | biblioteca |
Published: |
2003
|
Subjects: | COFFEA ARABICA, MUSA PARADISIACA, PHASEOLUS VULGARIS, ZEA MAYS, BANANO, CAFE, EROSION, ZONA DE MONTAÑA, PERDIDAS DESDE SUELOS, MAÍZ, MODELOS, ROTACION DE CULTIVOS, TERRENO EN DECLIVE, CONSERVACION DE SUELOS, CAPA ARABLE DEL SUELO, EROSION POR EL AGUA, CUENCAS HIDROGRAFICAS, KENIA, |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Soil erosion by water is serious global problem. In Africa, about 5 Mg ha-1 of productive topsoil is lost to lakes and oceans each year. This study was conducted at the Kianjuki catchment in central Kenya to predict annual soil loss using the Revised Universal Soil Loss Equation (RUSLE Version 1.06) to determine the erosion hazard in the area and target locations for appropriate initiation of conservation measures. All factors used in RUSLE were calculated for the catchment using local data. The rainfall erosivity R-factor was 8527 MJ mm ha-1 h-1 per year and the annual average soil erodibility K-factor was 0.016 Mg h MJ-1 mm-1. Slopes in the catchment varied between 0 and 53 |
---|