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Prediction of Soil and Nutrient Losses from the Lake Chini Watershed, Pahang, Malaysia
For this study, the Revised Universal Soil Loss Equation (RUSLE) was used to predict the average annual soil loss. The prediction of annual nutrient (phosphorus, potassium and magnesium) loss caused by soil erosion processes using RUSLE was also conducted. Soil and nutrient movements associated with...
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Published in: | Journal of physical science 2015-01, Vol.26 (1), p.53-53 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | For this study, the Revised Universal Soil Loss Equation (RUSLE) was used to predict the average annual soil loss. The prediction of annual nutrient (phosphorus, potassium and magnesium) loss caused by soil erosion processes using RUSLE was also conducted. Soil and nutrient movements associated with several alternative methods of land use were studied. The rainfall erosivity (R), topographic factor (LS), land cover (C) and management factor (P) values were calculated from rainfall data together with the use of topographic and land-use maps. Soil was analysed to obtain the soil erodibility factor. Physical properties, such as particle size distribution, texture, hydraulic conductivity and organic matter content, were analysed to support the erosion rate analysis. The annual soil loss in the study area ranged from 0.10 to 180.49 ton ha^sup -1^. Nutrient losses of phosphorus, potassium and magnesium were investigated in the study. The findings of the present study will help in the formulation of better conservation and management options for future land-use patterns of the Lake Chini watershed. |
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ISSN: | 1675-3402 2180-4230 |