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Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System

Water-borne erosion problem is one of the environmental problems faced globally particularly in developing countries. The objective of this study was to estimate the erosion rate at the Pansoon sub-basin using combination of conventional approach and remote sensing technology. Pansoon sub-basin is t...

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Main Authors: Noor Fadzilah Yusof,, Tukimat Lihan,, Wan Mohd Razi Idris,, Zulfahmi Ali Rahman,, Muzzneena Ahmad Mustapha,, Mohd. Abdul Wahab Yusof,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2019
Online Access:http://journalarticle.ukm.my/14438/1/26%20Noor%20Fadzilah%20Yusof.pdf
http://journalarticle.ukm.my/14438/
http://www.ukm.my/jsm/malay_journals/jilid48bil11_2019/KandunganJilid48Bil11_2019.html
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spelling my-ukm.journal.144382020-04-01T13:31:46Z http://journalarticle.ukm.my/14438/ Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System Noor Fadzilah Yusof, Tukimat Lihan, Wan Mohd Razi Idris, Zulfahmi Ali Rahman, Muzzneena Ahmad Mustapha, Mohd. Abdul Wahab Yusof, Water-borne erosion problem is one of the environmental problems faced globally particularly in developing countries. The objective of this study was to estimate the erosion rate at the Pansoon sub-basin using combination of conventional approach and remote sensing technology. Pansoon sub-basin is the upper stream of Langat watershed, Malaysia located in the mountainous area dominated by steep slopes and various type of soils which are the important factors contributed to soil erosion. The Revised Universal Soil Loss Equation (RUSLE) integrated in a Geographical Information System used to predict the soil erosion rate and spatially maps its distribution using rainfall, soil series and topography data to generate rainfall erosivity factor, soil erodibility factor and topography factor. Land use map was used to produce coverage and management practice factor. The result shows that 66% (7433 ha) of the Pansoon sub-basin is classified at very low risk, 22% of low risk (2433 ha), 5% of moderate (582 ha), 2% of the area with high risk (251 ha) and 5% of very high risk of erosion (549 ha). Pansoon sub-basin is prone to soil erosion problem on the southwest region may due to soil erodibility factor, slope length and slope steepness. Accuracy assessment was obtained between prediction model and field observation data (p=0.97) which means the RUSLE approach integrated in GIS is suitable to be used to predict and assessing the soil erosion rate. In conclusion, the prediction of soil erosion using RUSLE in GIS can be accurately assessed with the combination of field observation data. Penerbit Universiti Kebangsaan Malaysia 2019-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/14438/1/26%20Noor%20Fadzilah%20Yusof.pdf Noor Fadzilah Yusof, and Tukimat Lihan, and Wan Mohd Razi Idris, and Zulfahmi Ali Rahman, and Muzzneena Ahmad Mustapha, and Mohd. Abdul Wahab Yusof, (2019) Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System. Sains Malaysiana, 48 (11). pp. 2565-2574. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid48bil11_2019/KandunganJilid48Bil11_2019.html
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Water-borne erosion problem is one of the environmental problems faced globally particularly in developing countries. The objective of this study was to estimate the erosion rate at the Pansoon sub-basin using combination of conventional approach and remote sensing technology. Pansoon sub-basin is the upper stream of Langat watershed, Malaysia located in the mountainous area dominated by steep slopes and various type of soils which are the important factors contributed to soil erosion. The Revised Universal Soil Loss Equation (RUSLE) integrated in a Geographical Information System used to predict the soil erosion rate and spatially maps its distribution using rainfall, soil series and topography data to generate rainfall erosivity factor, soil erodibility factor and topography factor. Land use map was used to produce coverage and management practice factor. The result shows that 66% (7433 ha) of the Pansoon sub-basin is classified at very low risk, 22% of low risk (2433 ha), 5% of moderate (582 ha), 2% of the area with high risk (251 ha) and 5% of very high risk of erosion (549 ha). Pansoon sub-basin is prone to soil erosion problem on the southwest region may due to soil erodibility factor, slope length and slope steepness. Accuracy assessment was obtained between prediction model and field observation data (p=0.97) which means the RUSLE approach integrated in GIS is suitable to be used to predict and assessing the soil erosion rate. In conclusion, the prediction of soil erosion using RUSLE in GIS can be accurately assessed with the combination of field observation data.
format Article
author Noor Fadzilah Yusof,
Tukimat Lihan,
Wan Mohd Razi Idris,
Zulfahmi Ali Rahman,
Muzzneena Ahmad Mustapha,
Mohd. Abdul Wahab Yusof,
spellingShingle Noor Fadzilah Yusof,
Tukimat Lihan,
Wan Mohd Razi Idris,
Zulfahmi Ali Rahman,
Muzzneena Ahmad Mustapha,
Mohd. Abdul Wahab Yusof,
Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System
author_facet Noor Fadzilah Yusof,
Tukimat Lihan,
Wan Mohd Razi Idris,
Zulfahmi Ali Rahman,
Muzzneena Ahmad Mustapha,
Mohd. Abdul Wahab Yusof,
author_sort Noor Fadzilah Yusof,
title Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System
title_short Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System
title_full Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System
title_fullStr Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System
title_full_unstemmed Prediction of soil erosion in Pansoon sub-basin, Malaysia using RUSLE integrated in Geographical Information System
title_sort prediction of soil erosion in pansoon sub-basin, malaysia using rusle integrated in geographical information system
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2019
url http://journalarticle.ukm.my/14438/1/26%20Noor%20Fadzilah%20Yusof.pdf
http://journalarticle.ukm.my/14438/
http://www.ukm.my/jsm/malay_journals/jilid48bil11_2019/KandunganJilid48Bil11_2019.html
_version_ 1665895634404638720
score 13.211869

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