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Intergration of GIS in Estimation of Soil Erosion Rate at Kota Kinabalu Area, Sabah, Malaysia

Intergration of GIS in Estimation of Soil Erosion Rate at Kota Kinabalu Area, Sabah, Malaysia

Authors                   : Rodeano Roslee, Kawi Bidin, Baba Musta & Sanudin Tahir

Publication Date    :  February 2017

Journal                    : Advance Science Letters

Volume                    : 23

Issue                        : 2

Pages                       : 1352-1356

Abstract - Soil erosion is an issue which is still under debate in the newspapers or any electronic media, especially in Kota Kinabalu, Sabah. Triggering factor of soil erosion is often associated with agricultural, deforestation and development activities that did not take care of environmental sustainability. Kota Kinabalu, Sabah have been used as experimental laboratories for Universal Soil Loss Equation (USLE) study. The main objective of this study is to determine the annual soil loss rate (A) value by comparison of the models for the average annual of soil loss rate (RKLSCP), average annual of soil loss rate without conservation supporting practices factor (RKLSC), and average annual of soil loss rate without conservation supporting practices factor and crop and management factors (RKLS). There are six factors parameter maps were considered in USLE as rainfall erosivity factor (R), soil erodibility factor (K), slope length factor (L), slope steepness factor (S), crop and management factor (C), and conservation supporting practices factor (P ). Analyses results indicate that the influence of the C and P are important in the determination of the soil erosion rate for an area. The result of RKLSCP (6,804,787 tons/ha/year) showed lower value compared to RKLSC (20,176,101 tons/ha/years) and RKLS (106,698,426 tons/ha/year) values. In terms of average soil erosion susceptibility classification, for low risk, the result of RKLSCP showed highest value of 3,382,690 tons/ha/year with a total area about 1,520 hectares. However, there are differ in very low to low risk in which the result for RKLSC recorded the highest value of 7,422,190 and 5,797,510 tons/ha/year respectively with the total area about 1,093 hectares. In contrast to a very high risk, the result of RKLS recorded highest value of total 100,393,000 tons/ha/year with a total area about 2,082 hectares. All findings showed that integration of GIS can be used for spatial analysis in a large scale. Production of A total value maps can be applied to particular development planning areas especially for housing and agriculture developments.