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, C and P factors 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.

中文翻译：

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利用RUSLE中的GIS和RS开发马来西亚Langat流域的侵蚀模型

这项研究旨在通过将遥感（RS）和地理信息系统（GIS）与经修订的通用土壤流失方程（RUSLE）模型相集成，预测马来西亚兰加特河流域的潜在土壤侵蚀。在RUSLE模型中，根据降雨系数确定降雨侵蚀力因子（R），土壤易蚀性因子（K），坡长和陡度因子（LS），植被覆盖率和管理因子（C）和支持实践因子（P）等参数。输入数据，然后在GIS平台中进行空间分析。从研究区域内的29个雨量计站收集了2008-2015年的降雨数据。通过分析，获得了与参数对应的RUSLE模型的大小 R，K，LS，C和P因子在800到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和0.2-之间变化分别为1.00。这项研究的结果表明，根据计算出的RUSLE参数值，约有95％的Langat流域地区被划为非常低至低侵蚀的脆弱性。这项研究的结果将极大地有助于决策者提出适合流域的土壤管理和保护措施。