Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System
Large-scale development in the upstream area has a catastrophic impact on soil erosion on the surrounding community and property in Cameron Highland. The massive land-use activities give a negative impact if inadequate protection of assets cannot be controlled which led the sedimentation issue to ea...
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my.uniten.dspace-258172023-05-29T16:14:45Z Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System Ishak N.A. Mohd Sidek L. Yalit M.R. Razad S.K.A.Z.A. Sinnakaudan S.A. Aziz A.M.A. 57205235934 35070506500 57208674669 57212464798 7801642246 57212462716 Large-scale development in the upstream area has a catastrophic impact on soil erosion on the surrounding community and property in Cameron Highland. The massive land-use activities give a negative impact if inadequate protection of assets cannot be controlled which led the sedimentation issue to each reservoir in Cameron Highland. Therefore, this research was conducted to forecast the source of soil erosion and sedimentation rate using the Revised Universal Soil Loss Equation (RUSLE) empirical model technique in the integration of Geographic Information System (GIS). Spaceborne IFSAR with an accuracy of �5�m was used and generated Digital Elevation Model (DEM) for terrain and elevation conditions. Rainfall Erosivity (R), Soil Erodibility (K), Topographic (LS), Cover Management (C), Support Practice (P) are the factors need to be included in the RUSLE�s formula. The annual rainfall data of 11 rainfall stations were used in the study for modeling the R factor, an average annual amount of rainfall was collected from the year 2007 until 2017. Land use maps comprising three different years namely; 2003, 2006 and 2017 have been used to calculate the C factor and P factor. The result indicated that the rate of potential soil loss was increased by almost 94.8% between 2006 and 2017. Sediment yield was expected to be higher due to an increment of soil loss in the year 2003, 2006 and 2017. The sediment yield for Sultan Abu Bakar Dam situated at Ringlet Reservoir was indicated 349,633.99�m3/year in 2003, whilst 142,970.71�m3/year in 2006 was expected to decrease after 2003 where recorded 59% of reduction. Subsequently, the sediment yield rate was projected to increase by about 56% or 331,449.01�m3/year in 2017. Hence, these findings have significant implications for soil loss and sediment yield because of major land-use changes which depend on topography and rainfall factor. � 2020, Springer Nature Singapore Pte Ltd. Final 2023-05-29T08:14:45Z 2023-05-29T08:14:45Z 2020 Book Chapter 10.1007/978-981-15-1971-0_10 2-s2.0-85076758119 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076758119&doi=10.1007%2f978-981-15-1971-0_10&partnerID=40&md5=e6b5f5dfa30038e1089be99f0b3a6eae https://irepository.uniten.edu.my/handle/123456789/25817 103 114 Springer Scopus |
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Large-scale development in the upstream area has a catastrophic impact on soil erosion on the surrounding community and property in Cameron Highland. The massive land-use activities give a negative impact if inadequate protection of assets cannot be controlled which led the sedimentation issue to each reservoir in Cameron Highland. Therefore, this research was conducted to forecast the source of soil erosion and sedimentation rate using the Revised Universal Soil Loss Equation (RUSLE) empirical model technique in the integration of Geographic Information System (GIS). Spaceborne IFSAR with an accuracy of �5�m was used and generated Digital Elevation Model (DEM) for terrain and elevation conditions. Rainfall Erosivity (R), Soil Erodibility (K), Topographic (LS), Cover Management (C), Support Practice (P) are the factors need to be included in the RUSLE�s formula. The annual rainfall data of 11 rainfall stations were used in the study for modeling the R factor, an average annual amount of rainfall was collected from the year 2007 until 2017. Land use maps comprising three different years namely; 2003, 2006 and 2017 have been used to calculate the C factor and P factor. The result indicated that the rate of potential soil loss was increased by almost 94.8% between 2006 and 2017. Sediment yield was expected to be higher due to an increment of soil loss in the year 2003, 2006 and 2017. The sediment yield for Sultan Abu Bakar Dam situated at Ringlet Reservoir was indicated 349,633.99�m3/year in 2003, whilst 142,970.71�m3/year in 2006 was expected to decrease after 2003 where recorded 59% of reduction. Subsequently, the sediment yield rate was projected to increase by about 56% or 331,449.01�m3/year in 2017. Hence, these findings have significant implications for soil loss and sediment yield because of major land-use changes which depend on topography and rainfall factor. � 2020, Springer Nature Singapore Pte Ltd. |
| author2 |
57205235934 |
| author_facet |
57205235934 Ishak N.A. Mohd Sidek L. Yalit M.R. Razad S.K.A.Z.A. Sinnakaudan S.A. Aziz A.M.A. |
| format |
Book Chapter |
| author |
Ishak N.A. Mohd Sidek L. Yalit M.R. Razad S.K.A.Z.A. Sinnakaudan S.A. Aziz A.M.A. |
| spellingShingle |
Ishak N.A. Mohd Sidek L. Yalit M.R. Razad S.K.A.Z.A. Sinnakaudan S.A. Aziz A.M.A. Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System |
| author_sort |
Ishak N.A. |
| title |
Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System |
| title_short |
Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System |
| title_full |
Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System |
| title_fullStr |
Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System |
| title_full_unstemmed |
Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System |
| title_sort |
development of soil loss erosion forecasting using the revised universal soil loss equation and geographic information system |
| publisher |
Springer |
| publishDate |
2023 |
| _version_ |
1806426541792428032 |
| score |
13.223943 |