Open AccessSoil Erosion Analysis using RUSLE Model at the Minitod Area, Penampang, Sabah, Malaysia
Author(s) -
Rodeano Roslee,
Kamilia Sharir
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1358/1/012066
Subject(s) - universal soil loss equation , environmental science , deforestation (computer science) , erosion , hydrology (agriculture) , soil loss , geographic information system , land degradation , soil conservation , agriculture , sustainability , soil science , geography , remote sensing , geology , ecology , geotechnical engineering , geomorphology , archaeology , computer science , biology , programming language
Soil erosion is one of the leading causes of soil degradation and is often associated with agricultural intensification, deforestation and human activities that did not take care of environmental sustainability. Assessing the soil erosion is essential, and therefore, detail assessment on the prediction of soil erosion and its impacts has been carried out spatially using the application of the Revised Universal Soil Loss Equation (RUSLE) at the Minitod area, Penampang, Sabah, Malaysia. The parameters of the RUSLE model were determined using the Geographical Information System (GIS). There are six factors parameter maps were considered in RUSLE; rainfall erosivity factor (R), soil erodibility (K), slope length and steepness (LS), cover management(C) and conservation practice (P). These factors were calculated to determine their effects on annual soil erosion in the study area. About 36.65% of the study area was classified as very low, 16% as low, 15.71% as moderate, 21.59% as high and 10.09% as very high. Soil erosion hazard has been identified using the model and found to be significant in areas with a slope above 25°. All findings showed that integration of GIS could be used for spatial analysis on a regional scale. Production of the value maps can be applied to development planning areas, especially for housing and agriculture developments.