Soil erosion assessment on hillslope of GCE using RUSLE model

Journal of earth system science

Lai Sai Hin^1¹  Md Rabiul Islam^1²  Wan Zurina Wan Jaafar^1³  Normaniza Osman^2⁴  Moktar Aziz Mohd Din^1⁵ 

[1] Department of Chemical Engineering, University of Malaya, Kuala Lumpur, Malaysia.^3;Department of Civil Engineering, University of Malaya, Kuala Lumpur, Malaysia.^1;Institute of Biological Sciences, University of Malaya, Kuala Lumpur, Malaysia.^2;Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India.^4;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.^5

关键词: Soil erosion;    RUSLE;    vegetation cover factor;    GIS;    hillslope;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

A new method for obtaining the C factor (i.e., vegetation cover and management factor) of the RUSLE model is proposed. The method focuses on the derivation of the C factor based on the vegetation density to obtain a more reliable erosion prediction. Soil erosion that occurs on the hillslope along the highway is one of the major problems in Malaysia, which is exposed to a relatively high amount of annual rainfall due to the two different monsoon seasons. As vegetation cover is one of the important factors in the RUSLE model, a new method that accounts for a vegetation density is proposed in this study. A hillslope near the Guthrie Corridor Expressway (GCE), Malaysia, is chosen as an experimental site whereby eight square plots with the size of 8×8 and 5×5 m are set up. A vegetation density available on these plots is measured by analyzing the taken image followed by linking the C factor with the measured vegetation density using several established formulas. Finally, erosion prediction is computed based on the RUSLE model in the Geographical Information System (GIS) platform. The C factor obtained by the proposed method is compared with that of the soil erosion guideline Malaysia, thereby predicted erosion is determined by both the C values. Result shows that the C value from the proposed method varies from 0.0162 to 0.125, which is lower compared to the C value from the soil erosion guideline, i.e., 0.8. Meanwhile predicted erosion computed from the proposed C value is between 0.410 and 3.925 t ha⁻¹ yr⁻¹ compared to 9.367 to 34.496 t ha⁻¹ yr⁻¹ range based on the C value of 0.8. It can be concluded that the proposed method of obtaining a reasonable C value is acceptable as the computed predicted erosion is found to be classified as a very low zone, i.e. less than 10 t ha⁻¹ yr⁻¹ whereas the predicted erosion based on the guideline has classified the study area as a low zone of erosion, i.e., between 10 and 50 t ha⁻¹ yr⁻¹.

【 授权许可】

CC BY