Potensi hakisan tanih di lembangan Sungai Bilut, Raub, Pahang menggunakan integrasi RUSLE dan GIS

Translated title of the contribution: Soil erosion potential at Sungai Bilut catchment, Raub, Pahang using integration of RUSLE and GIS

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1 Citation (Scopus)

Abstract

Land use activities within catchment area are one of the factors contributing to deterioration of river water quality due to soil erosion. Potential soil erosion at the Sungai Bilut catchment, which is the main source of water supply in Raub district, can be determined using Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS). The aims of this research were to determine the potential soil loss and also to determine the main factors that influence the rate of soil erosion. This study involved analysis of secondary data of rainfall, soil series and topography data to generate factors of rainfall erosivity (R), soil erodibility (K) and length and steepness of slope (LS). Vegetation coverage and conservation practices factors were generated from satellite image of Landsat 8 (2014). The results showed that the R factor value in the study area is 8927.68-9775.18 MJ mm ha-1 h-1 yr-1, K value is 0.0036-0.500 tones h-1 MJ-1 mm-1, LS value is 0-514, C value is 0.03-0.80 and P value is 0.1-0.7. The area that has very low to low erosion potential is 81%, while medium to very high erosion potential is 19% of total study area. The model has an accuracy of 81%. The main factors that contribute to the potential of soil erosion in the study area are topography, vegetation cover, and soil erodibility. The results indicated the potential of integration of RUSLE and GIS analysis in determination of potential soil erosion in wide area consisting of various land use, topography and soil type.

Original languageMalay
Pages (from-to)2241-2249
Number of pages9
JournalSains Malaysiana
Volume47
Issue number10
DOIs
Publication statusPublished - 1 Oct 2018

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Revised Universal Soil Loss Equation
soil erosion
GIS
catchment
erodibility
topography
soil
erosion
land use
erosivity
rainfall
systems analysis
vegetation cover
Landsat
river water
soil type
water supply
water quality
vegetation

ASJC Scopus subject areas

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Cite this

@article{2d283602a284475aae3755e1337bcfea,
title = "Potensi hakisan tanih di lembangan Sungai Bilut, Raub, Pahang menggunakan integrasi RUSLE dan GIS",
abstract = "Land use activities within catchment area are one of the factors contributing to deterioration of river water quality due to soil erosion. Potential soil erosion at the Sungai Bilut catchment, which is the main source of water supply in Raub district, can be determined using Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS). The aims of this research were to determine the potential soil loss and also to determine the main factors that influence the rate of soil erosion. This study involved analysis of secondary data of rainfall, soil series and topography data to generate factors of rainfall erosivity (R), soil erodibility (K) and length and steepness of slope (LS). Vegetation coverage and conservation practices factors were generated from satellite image of Landsat 8 (2014). The results showed that the R factor value in the study area is 8927.68-9775.18 MJ mm ha-1 h-1 yr-1, K value is 0.0036-0.500 tones h-1 MJ-1 mm-1, LS value is 0-514, C value is 0.03-0.80 and P value is 0.1-0.7. The area that has very low to low erosion potential is 81{\%}, while medium to very high erosion potential is 19{\%} of total study area. The model has an accuracy of 81{\%}. The main factors that contribute to the potential of soil erosion in the study area are topography, vegetation cover, and soil erodibility. The results indicated the potential of integration of RUSLE and GIS analysis in determination of potential soil erosion in wide area consisting of various land use, topography and soil type.",
keywords = "GIS, RUSLE, Soil erosion",
author = "Tukimat Lihan and Khodri, {Nur Fatin} and {Ahmad Mustapha}, Muzzneena and {Ali Rahman}, Zulfahmi and Idris, {Wan Mohd Razi}",
year = "2018",
month = "10",
day = "1",
doi = "10.17576/jsm-2018-4710-01",
language = "Malay",
volume = "47",
pages = "2241--2249",
journal = "Sains Malaysiana",
issn = "0126-6039",
publisher = "Penerbit Universiti Kebangsaan Malaysia",
number = "10",

}

TY - JOUR

T1 - Potensi hakisan tanih di lembangan Sungai Bilut, Raub, Pahang menggunakan integrasi RUSLE dan GIS

AU - Lihan, Tukimat

AU - Khodri, Nur Fatin

AU - Ahmad Mustapha, Muzzneena

AU - Ali Rahman, Zulfahmi

AU - Idris, Wan Mohd Razi

PY - 2018/10/1

Y1 - 2018/10/1

N2 - Land use activities within catchment area are one of the factors contributing to deterioration of river water quality due to soil erosion. Potential soil erosion at the Sungai Bilut catchment, which is the main source of water supply in Raub district, can be determined using Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS). The aims of this research were to determine the potential soil loss and also to determine the main factors that influence the rate of soil erosion. This study involved analysis of secondary data of rainfall, soil series and topography data to generate factors of rainfall erosivity (R), soil erodibility (K) and length and steepness of slope (LS). Vegetation coverage and conservation practices factors were generated from satellite image of Landsat 8 (2014). The results showed that the R factor value in the study area is 8927.68-9775.18 MJ mm ha-1 h-1 yr-1, K value is 0.0036-0.500 tones h-1 MJ-1 mm-1, LS value is 0-514, C value is 0.03-0.80 and P value is 0.1-0.7. The area that has very low to low erosion potential is 81%, while medium to very high erosion potential is 19% of total study area. The model has an accuracy of 81%. The main factors that contribute to the potential of soil erosion in the study area are topography, vegetation cover, and soil erodibility. The results indicated the potential of integration of RUSLE and GIS analysis in determination of potential soil erosion in wide area consisting of various land use, topography and soil type.

AB - Land use activities within catchment area are one of the factors contributing to deterioration of river water quality due to soil erosion. Potential soil erosion at the Sungai Bilut catchment, which is the main source of water supply in Raub district, can be determined using Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS). The aims of this research were to determine the potential soil loss and also to determine the main factors that influence the rate of soil erosion. This study involved analysis of secondary data of rainfall, soil series and topography data to generate factors of rainfall erosivity (R), soil erodibility (K) and length and steepness of slope (LS). Vegetation coverage and conservation practices factors were generated from satellite image of Landsat 8 (2014). The results showed that the R factor value in the study area is 8927.68-9775.18 MJ mm ha-1 h-1 yr-1, K value is 0.0036-0.500 tones h-1 MJ-1 mm-1, LS value is 0-514, C value is 0.03-0.80 and P value is 0.1-0.7. The area that has very low to low erosion potential is 81%, while medium to very high erosion potential is 19% of total study area. The model has an accuracy of 81%. The main factors that contribute to the potential of soil erosion in the study area are topography, vegetation cover, and soil erodibility. The results indicated the potential of integration of RUSLE and GIS analysis in determination of potential soil erosion in wide area consisting of various land use, topography and soil type.

KW - GIS

KW - RUSLE

KW - Soil erosion

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U2 - 10.17576/jsm-2018-4710-01

DO - 10.17576/jsm-2018-4710-01

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JO - Sains Malaysiana

JF - Sains Malaysiana

SN - 0126-6039

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ER -