Soil erosion analysis for flood disaster assessment using GIS-based RUSLE model in Kota Belud, Sabah, Malaysia

Soil erosion is one of the significant environmental problems and main contributors to flood events, especially in the Kota Belud district of Sabah, Malaysia. A detailed assessment of soil loss prediction and its consequences was carried out in this district using the revised soil loss equation (RUSLE) model with a geographical information system (GIS). A thematic data layering method was used to analyze risk areas and identify possible high-risk erosion zones. The RUSLE model used GIS as the spatial information analysis method for calculating the amount of soil loss (tons/ac/year). Approximately 61.50% (89 ac) of the area was classified as very low risk, 2.67% (4 ac) low risk, 4.76% (7 ac) moderate risk, 3.57% (5 ac) high risk, and 27.50% (40 ac) very high risk. All the outcomes revealed that GIS integration might be used for regional spatial analysis. Total value maps can be used to plan inevitable development, such as housing, farming, and hazard and risk management.

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Publication Details

Journal
Science, Engineering and Health Studies
Published
2024-11-21
DOI
https://doi.org/10.69598/sehs.18.24020005
Primary Topic
Flood Risk Assessment and Management
Type
article
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article

Soil erosion analysis for flood disaster assessment using GIS-based RUSLE model in Kota Belud, Sabah, Malaysia

Rodeano Roslee, Kamilia Sharir, Amirah Saidin
Science, Engineering and Health Studies
Flood Risk Assessment and Management
article

Soil erosion analysis for flood disaster assessment using GIS-based RUSLE model in Kota Belud, Sabah, Malaysia

Rodeano Roslee, Kamilia Sharir, Amirah Saidin
article en

Abstract

Soil erosion is one of the significant environmental problems and main contributors to flood events, especially in the Kota Belud district of Sabah, Malaysia. A detailed assessment of soil loss prediction and its consequences was carried out in this district using the revised soil loss equation (RUSLE) model with a geographical information system (GIS). A thematic data layering method was used to analyze risk areas and identify possible high-risk erosion zones. The RUSLE model used GIS as the spatial information analysis method for calculating the amount of soil loss (tons/ac/year). Approximately 61.50% (89 ac) of the area was classified as very low risk, 2.67% (4 ac) low risk, 4.76% (7 ac) moderate risk, 3.57% (5 ac) high risk, and 27.50% (40 ac) very high risk. All the outcomes revealed that GIS integration might be used for regional spatial analysis. Total value maps can be used to plan inevitable development, such as housing, farming, and hazard and risk management.

Science, Engineering and Health Studies
Universiti of Malaysia Sabah (MY)
Climate action
Openalex Percentile: Top 82%
Flood Risk Assessment and Management
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Soil erosion analysis for flood disaster assessment using GIS-based RUSLE model in Kota Belud, Sabah, Malaysia — Rodeano Roslee, Kamilia Sharir, et al. · Science, Engineering and Health Studies (2024) | TGRS Research Map | TGRS