Assessment of soil erosion and sediment transport susceptibility in the Shambhavi River Basin of India’s Western Ghats using RUSLE model

Soil erosion is a critical issue, especially during the monsoon season in the Western Ghats of Karnataka, India. Consequently, estimating soil erosion is crucial for informed decision-making to prevent further land degradation. Therefore, this study focuses on estimating soil erosion and sediment transport susceptibility in the Shambhavi River Basin of Western Ghats, India, using a GIS-based approach and the Revised Universal Soil Loss Equation (RUSLE) model. The input data include rainfall records from 1990 to 2021 to derive the rainfall-runoff erosivity (R) factor map, the FAO/UNESCO soil map for the soil erodibility (K) factor map, Sentinel-2 multispectral satellite imagery for the land use land cover (LULC) (C) factor map, and the SRTM DEM (30 m spatial resolution) to create topography-related (LS and P) factor maps. Soil loss estimates derived from the RUSLE model were mapped, and two composite indices — Soil Erosion Susceptibility Index (SESI) and Sediment Transport Susceptibility Index (STSI) — were produced using the Weighted Overlay approach. The results revealed that the total soil loss was estimated to be 23,805 t yr-1 with a mean annual soil loss of 0.69 t ha-1. Compared to the maximum permissible soil loss of 11.2 t ha-1 yr-1 in India, the estimated annual loss of 0.69 t ha-1 yr-1 is relatively low. Additionally, 87.13% of the basin lies below 1 t ha-1 yr-1. SESI classifies approximately 41% of the basin as high, 39% moderate and 20% low susceptibility. While STSI indicates 34.25% high, 48.35% moderate and 17.40% low susceptibility to sediment transport. The estimates were validated and found to align with those results reported in similar studies. The novelty of this study lies in: (i) providing quantitative soil erosion estimates and sediment transport assessment for the Shambhavi River Basin; (ii) combining RUSLE model with dual susceptibility indices (SESI and STSI); and (iii) translating spatial results into actionable conservation priorities. These contributions strengthen the scientific foundation for region-specific land management in the Western Ghats. Understanding the spatial heterogeneity of soil erosion supports improved land management practices and helps mitigate downstream impacts.

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Journal
Discover Applied Sciences
Published
2026-01-07
DOI
https://doi.org/10.1007/s42452-025-08177-6
Primary Topic
Soil erosion and sediment transport
Type
article
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article

Assessment of soil erosion and sediment transport susceptibility in the Shambhavi River Basin of India’s Western Ghats using RUSLE model

Dhanush Devadiga, Ranadheer Reddy Mandadi, Santhosh Lakkur Gurunarayan, B. E. Bhojaraja
Discover Applied Sciences
Soil erosion and sediment transport
article

Assessment of soil erosion and sediment transport susceptibility in the Shambhavi River Basin of India’s Western Ghats using RUSLE model

Dhanush Devadiga, Ranadheer Reddy Mandadi, Santhosh Lakkur Gurunarayan, B. E. Bhojaraja
article en

Abstract

Soil erosion is a critical issue, especially during the monsoon season in the Western Ghats of Karnataka, India. Consequently, estimating soil erosion is crucial for informed decision-making to prevent further land degradation. Therefore, this study focuses on estimating soil erosion and sediment transport susceptibility in the Shambhavi River Basin of Western Ghats, India, using a GIS-based approach and the Revised Universal Soil Loss Equation (RUSLE) model. The input data include rainfall records from 1990 to 2021 to derive the rainfall-runoff erosivity (R) factor map, the FAO/UNESCO soil map for the soil erodibility (K) factor map, Sentinel-2 multispectral satellite imagery for the land use land cover (LULC) (C) factor map, and the SRTM DEM (30 m spatial resolution) to create topography-related (LS and P) factor maps. Soil loss estimates derived from the RUSLE model were mapped, and two composite indices — Soil Erosion Susceptibility Index (SESI) and Sediment Transport Susceptibility Index (STSI) — were produced using the Weighted Overlay approach. The results revealed that the total soil loss was estimated to be 23,805 t yr-1 with a mean annual soil loss of 0.69 t ha-1. Compared to the maximum permissible soil loss of 11.2 t ha-1 yr-1 in India, the estimated annual loss of 0.69 t ha-1 yr-1 is relatively low. Additionally, 87.13% of the basin lies below 1 t ha-1 yr-1. SESI classifies approximately 41% of the basin as high, 39% moderate and 20% low susceptibility. While STSI indicates 34.25% high, 48.35% moderate and 17.40% low susceptibility to sediment transport. The estimates were validated and found to align with those results reported in similar studies. The novelty of this study lies in: (i) providing quantitative soil erosion estimates and sediment transport assessment for the Shambhavi River Basin; (ii) combining RUSLE model with dual susceptibility indices (SESI and STSI); and (iii) translating spatial results into actionable conservation priorities. These contributions strengthen the scientific foundation for region-specific land management in the Western Ghats. Understanding the spatial heterogeneity of soil erosion supports improved land management practices and helps mitigate downstream impacts.

Discover Applied SciencesVol. 8(2)
National Institute of Technology Karnataka (IN), Nitte University (IN), M S Ramaiah University of Applied Sciences (IN), Asian Institute of Technology (TH)
Life in Land
Openalex Percentile: Top 95%
Soil erosion and sediment transport
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