ISSN: 2222-6990
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Soil erosion in the state of Perak has long been identified as a problem, and soil erosion due to water is one of the main causes of land degradation in this state. If this problem is not seriously addressed, it will result in soil erosion affecting a vast area and suitable soil erosion risk map has to be developed to ensure effective implementation of soil conservation in a particular area. The purpose of this study was to prepare a soil erosion risk map for the state of Perak which can be used to prioritize the areas that are highly exposed to soil erosion for conservation efforts. This study used the Universal Soil Loss Equation (USLE) model integrated with a Geographic Information System (GIS) to produce a soil erosion risk map for the state of Perak. Soil erosion risk mapping was carried out using a map overlay of USLE parameters within Arc GIS which was used to identify risky areas for soil erosion and estimate soil loss in the study area. The results of the study showed that the risky areas for soil erosion were scattered all across Perak, especially on steep slopes. The development of this soil erosion risk map for Perak state is very important for conducting good environmental management and land use planning strategies.
Ayad, M. F. A. (2003). Soil erosion prediction with RS and GIS for the Northwestern Part of Hubei Province, China. Pakistan Journal of Applied Sciences, 3, 659-669.
Ali, S. A. & Hagos, H. (2016). Estimation of soil erosion using USLE and GIS in Awassa Catchment, Rift valley, Central Ethiopia. Geoderma Regional, 7(2), 159-166.
Bagarello, V., Di Stefano, C., Ferro, V., & Pampalone, V. (2017). Predicting maximum annual values of event soil loss by USLE-type models. Catena, 155, 10–19.
Diyabalanage, S., Samarakoon , K. K., Adikari, S. B., & Hewawasam, T. (2017). Impact of soil and water conservation measures on soil erosion rate and sediment yields in a tropical watershed in the Central Highlands of Sri Lanka. Applied Geography, 79, 103 – 114.
German Advisory Council on Global Change (WBGU). (1994). World in Transition – the Threat to Soils: 1994 Annual Report. Huthig Pub Ltd., p. 252.
Julio, C. N. D. S., Eunice, M. D. A., Pedro, H. A. M., Helba, A. D. Q. P., & José, R. D. A. N. (2017). Sediment delivery ratio in a small semi-arid watershed under conditions of low connectivity. Revista Ciência Agronômica, 48(1), 49-58.
Jebari, S. (2009). Water erosion modelling using fractal rainfall disaggregation – A study in semiarid Tunisia. Divison of Water resources engineering. Doctoral thesis (published). Lund University, Sweden.
Layfield Group. (2009). Erosion management factors. Retreived from https://www.layfieldgroup com/Geosynthetics/Tech-Notes/Erosion-Mgmt-Factors.aspx, 2 January 2018.
Malaysian Meteorological Department. (2017). Malaysia's climate. Retreived from http://www.met.gov.my/web/metmalaysia/118, 7 September 2017.
Department of Statistics. (2014). Malaysian statistical information book. Putrajaya: Department of Statistics.
Morgan, R. P. C. (2005). Soil erosion and conservation. Third Edition. Malden: Balckwell Publishing.
Moussa, R., Voltz, M. & Andrieux, P. (2002). Effects of the spatial organization of agricultural management on the hydrological behaviour of a farmed catchment during flood events. Hydrological Processes, 16, 393–412.
Mitchell, J. K., Bubenzer, G. D., McHenry, J. R., & Ritchie, J. C. (1980). Soil loss estimation from fallout cesium-137 measurements pp. 393-401. In: DeBoodt, M. & Gabriels, D. (eds.) Assessment of erosion. Chichester: John Wiley & Sons.
Morgan, R. P. C. (1974). Estimating regional variations in soil erosion hazard in Peninsular Malaysia. Malayan Nature Journal, 28, 94–106.
Ouyang, W., Wu, Y., Hao, Z., Zhang, Q., Bu, Q., & Gao, X. (2018). Combined impacts of land use and soil property changes on soil erosion in a mollisol area under long-term agricultural development. Science of the Total Environment, 613 – 614, 798 – 809.
Ouyang, W., Hao, F., Skidmore, A. K., & Toxopeus, A. G. (2010). Soil erosion and sediment yield and their relationships with vegetation cover in upper stream of the Yellow River. Science of Total Environment, 409(2), 396–403.
Ranya, F. A. E., Sarra, O., & Abdel, R. E. (2015). Soil erosion risk map based on geographic information system and Universal Soil Loss Equation (Case Study: Terengganu, Malaysia). Ind. J. Sci. Res. and Tech., 3(2), 38 – 43.
Reitsma, K. D., Dunn, B. H., Mishra, U., Clay, S. A., DeSuttere, T., & Clay, D. E. (2015). Land-use change impact on soil sustainability in a climate and vegetation transition zone. Agron. J., 107, 2363–2372.
Rabia, A. H. (2012), Mapping soil erosion risk using RUSLE, GIS and Remote Sensing, The 4th International Congress of ECSSS, EUROSOIL 2012 “soil science for the benefit of mankind and environment”, pp: 1-15, 2-6 June 2012, Bari, Italy.
Raissouni A., Khali, I. L., El Arrim A., Maâtouk M., & Passalacqua, R. (2012). GIS-based model to assess erosion sensitivity in Northern Morocco. Laou watershed case study. International Journal of Geosciences, 3, 610-626.
Rahman, M. R., Shi, Z. H., & Chongfa, C. (2009a). Soil erosion hazard evaluation—an integrated use of remote sensing, GIS and statistical approache
In-Text Citation: (Omar, Rahaman, & Hashim, 2018)
To Cite this Article: Omar, M. N., Rahaman, Z. A., & Hashim, M. (2018). The Development of a Soil Erosion Risk Map for Perak, Malaysia. International Journal of Academic Research in Business and Social Sciences, 8(4), 1108–1123.
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