Soil Loss Prediction (Using Rusle) and Comparison With Measured Soil Loss

Research Article
Soil Loss Prediction (Using Rusle) and Comparison With Measured Soil Loss

Pakistan Journal of Biological Sciences, 1999, 2(4), 1536-1539.

Abstract

The main objective of this study was to predict soil loss from various field experiments and to compare the results with measured soil loss from the field to see the performance of Revised Universal Soil Loss Equation (RUSLE) in predicting the soil loss. The results of this study showed that there was no significant difference in measured and predicted soil loss with the exception of few bare plots. Therefore it can be concluded that the RUSLE model has a potential to be used for predicting soil loss under different treatments and management practices in Malaysia. Its results are more accurate at high levels of erosivity. Only the improvement need is to estimate factor values for different annual crops, fruit crops and different crop and soil management practices used under Malaysian condition. Soil loss computed with RUSLE will be the best available estimates to be used for soil conservation planning.

ASCI-ID: 1-1166

Cited References Fulltext

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Development of an erosion model for Langat River Basin, Malaysia, adapting GIS and RS in RUSLE

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