Islam, Md. Rabiul and Wan Jaafar, Wan Zurina and Lai, Sai Hin and Osman, Normaniza and Karim, Md. Razaul (2020) Development of an erosion model for Langat River Basin, Malaysia, adapting GIS and RS in RUSLE. Applied Water Science, 10 (7). ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-020-01185-4.
Full text not available from this repository.Abstract
This study is aimed to predict potential soil erosion in the Langat River Basin, Malaysia by integrating Remote Sensing (RS) and Geographical Information System (GIS) with the Revised Universal Soil Loss Equation (RUSLE) model. In RUSLE model, parameters such as rainfall erosivity factor (R), soil erodibility factor (K), slope length and steepness factor (LS), vegetation cover and management factor (C) and support practice factor (P) are determined based on the input data followed by the spatial analysis process in the GIS platform. Rainfall data from 2008-2015 are collected from the 29 rain gauge stations located within the study area. From the analysis, the magnitude of RUSLE model obtained corresponding to the parameter R,K, LS,CandPfactors is varied between 800 to 3000 MJ mm ha(- 1)h(- 1)yr(- 1), 0.035-0.5 Mg h MJ(- 1)mm(- 1), 0-73.00, 0.075-0.77 and 0.2-1.00, respectively. Findings of this study indicates that based on the calculated RUSLE parameter values, about 95% of the Langat River Basin area have been classified as a very low to a low erosion vulnerability. Findings of this study would greatly benefits a decision maker in proposing a suitable soil management and conservation practices for the river basin.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya, University of Malaya Research Grant (UMRG) PR005B-13SUS |
| Uncontrolled Keywords: | Erosion model GIS; RS; RUSLE; Langat river basin |
| Subjects: | Q Science > QE Geology |
| Divisions: | Faculty of Engineering > Department of Civil Engineering Faculty of Science > Institute of Biological Sciences |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 14 Nov 2023 02:41 |
| Last Modified: | 14 Nov 2023 02:41 |
| URI: | http://eprints.um.edu.my/id/eprint/36611 |
Actions (login required)
 |
View Item |
