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Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah

Soil erosion poses a significant environmental issue in Kundasang, Sabah, which is situated in the highlands and is recognized for its soil erosion challenges. The natural forces of water gradually wear away the topsoil of fields, leading to soil erosion. This phenomenon is often exacerbated by vari...

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Main Authors: Aiman Nabila Abdul Malik, Baba Musta, Sahibin Abd Rahim, Hennie Fitria W.S.E
Format: Article
Language:English
Published: Penerbit UMS 2024
Subjects:
S622-627 Soil conservation and protection
SD390-390.43 Forest soils
Online Access:https://eprints.ums.edu.my/id/eprint/42858/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42858/
https://doi.org/10.51200/bsj.v45i2.5881
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spelling my.ums.eprints.428582025-02-13T06:25:56Z https://eprints.ums.edu.my/id/eprint/42858/ Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah Aiman Nabila Abdul Malik Baba Musta Sahibin Abd Rahim Hennie Fitria W.S.E S622-627 Soil conservation and protection SD390-390.43 Forest soils Soil erosion poses a significant environmental issue in Kundasang, Sabah, which is situated in the highlands and is recognized for its soil erosion challenges. The natural forces of water gradually wear away the topsoil of fields, leading to soil erosion. This phenomenon is often exacerbated by various triggering factors such as agricultural practices, deforestation, and unsustainable development. The region is particularly noted for its temperate vegetable cultivation. This study aimed to spatially estimate potential soil loss or erosion using the Revised Universal Soil Loss Equation (RUSLE) model. The RUSLE model incorporates six parameters, all expressed quantitatively in an equation to calculate soil erosion for a specific area. These parameters include rainfall erosivity (R), soil erodibility factor (K), slope length and steepness factor (LS), cultivation and management factor (C), and conservation support practice factor (P). The analysis leverages databases of soil types, topography, land use, and precipitation. The results indicate that only 3.11% (271.92 ha) and 0.72% (62.51 ha) of the study area is categorized as having high and very high erosion potential, respectively. Penerbit UMS 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42858/1/FULL%20TEXT.pdf Aiman Nabila Abdul Malik and Baba Musta and Sahibin Abd Rahim and Hennie Fitria W.S.E (2024) Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah. Borneo Science, 45. pp. 1-13. ISSN 1394-4339 https://doi.org/10.51200/bsj.v45i2.5881
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic S622-627 Soil conservation and protection
SD390-390.43 Forest soils
spellingShingle S622-627 Soil conservation and protection
SD390-390.43 Forest soils
Aiman Nabila Abdul Malik
Baba Musta
Sahibin Abd Rahim
Hennie Fitria W.S.E
Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah
description Soil erosion poses a significant environmental issue in Kundasang, Sabah, which is situated in the highlands and is recognized for its soil erosion challenges. The natural forces of water gradually wear away the topsoil of fields, leading to soil erosion. This phenomenon is often exacerbated by various triggering factors such as agricultural practices, deforestation, and unsustainable development. The region is particularly noted for its temperate vegetable cultivation. This study aimed to spatially estimate potential soil loss or erosion using the Revised Universal Soil Loss Equation (RUSLE) model. The RUSLE model incorporates six parameters, all expressed quantitatively in an equation to calculate soil erosion for a specific area. These parameters include rainfall erosivity (R), soil erodibility factor (K), slope length and steepness factor (LS), cultivation and management factor (C), and conservation support practice factor (P). The analysis leverages databases of soil types, topography, land use, and precipitation. The results indicate that only 3.11% (271.92 ha) and 0.72% (62.51 ha) of the study area is categorized as having high and very high erosion potential, respectively.
format Article
author Aiman Nabila Abdul Malik
Baba Musta
Sahibin Abd Rahim
Hennie Fitria W.S.E
author_facet Aiman Nabila Abdul Malik
Baba Musta
Sahibin Abd Rahim
Hennie Fitria W.S.E
author_sort Aiman Nabila Abdul Malik
title Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah
title_short Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah
title_full Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah
title_fullStr Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah
title_full_unstemmed Soil loss prediction using Revised Universal Soil Loss Equation (RUSEL) model in Kundasang, Sabah
title_sort soil loss prediction using revised universal soil loss equation (rusel) model in kundasang, sabah
publisher Penerbit UMS
publishDate 2024
url https://eprints.ums.edu.my/id/eprint/42858/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42858/
https://doi.org/10.51200/bsj.v45i2.5881
_version_ 1825161828550836224
score 13.244413

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