Soil erosion assessment on hillslope of GCE using RUSLE model

Islam, Md Rabiul and Jaafar, Wan Zurina Wan and Lai, Sai Hin and Osman, Normaniza and Din, Moktar Aziz Mohd and Zuki, Fathiah Mohamed and Srivastava, Prashant and Islam, Tanvir and Adham, Md Ibrahim (2018) Soil erosion assessment on hillslope of GCE using RUSLE model. Journal of Earth System Science, 127 (4). p. 50. ISSN 0253-4126

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Official URL: https://doi.org/10.1007/s12040-018-0951-2

Abstract

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 3.925tha-1yr-1 compared to 9.367 to 34.496tha-1yr-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 10tha-1yr-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 50tha-1yr-1.

Item Type: Article
Uncontrolled Keywords: GIS; hillslope; RUSLE; Soil erosion; vegetation cover factor
Subjects: Q Science > QH Natural history
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TP Chemical technology
Divisions: Faculty of Engineering
Faculty of Science > Institute of Biological Sciences
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 05 Aug 2019 08:26
Last Modified: 05 Aug 2019 08:26
URI: http://eprints.um.edu.my/id/eprint/21792

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