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Harmonizing models and measurements: Assessing soil erosion through RUSLE model

  • 0KSCSTE-Centre for Water Resources Development and Management (CWRDM), Kozhikode, Kerala, India.
Environmental Science and Pollution Research International +

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September 19, 2024

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September 19, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Soil erosion in Kozhikode, India, averages 28.7 tons/hectare annually. This study integrates field data with the Revised Universal Soil Loss Equation (RUSLE) to map erosion risks and propose targeted conservation strategies.

Area Of Science

  • Environmental Science
  • Soil Science
  • Geospatial Analysis

Background

  • Soil erosion presents significant ecological and socioeconomic challenges globally.
  • Factors like land use, extreme weather, deforestation, and farming practices exacerbate erosion.
  • Kozhikode district, Kerala, exhibits heightened soil erosion vulnerability due to its geography and land-use trends.

Purpose Of The Study

  • To assess and map soil erosion risk in Kozhikode district, Kerala, India.
  • To integrate field data with the Revised Universal Soil Loss Equation (RUSLE) for accurate erosion prediction.
  • To propose context-specific soil conservation and management strategies based on erosion risk.

Main Methods

  • Application of the Revised Universal Soil Loss Equation (RUSLE) model.
  • Integration of RUSLE factors: Rainfall erosivity (R), Slope length and steepness (LS), Cover management (C), Conservation practices (P), and Soil erodibility (K).
  • Validation of model predictions using extensive field data from agricultural plots in Kozhikode.

Main Results

  • Kozhikode district experiences an average annual soil loss of 28.7 tons per hectare.
  • Spatial analysis revealed significant variations in erosion risk, with 14.65% of the area facing extremely severe erosion.
  • High correlation between RUSLE-predicted and observed soil loss values, indicated by a low root mean square error.

Conclusions

  • The study successfully mapped soil erosion hotspots in Kozhikode, identifying areas requiring urgent intervention.
  • Tailored management strategies for low, medium, and high-priority erosion risk regions were proposed.
  • Emphasized the need for long-term field observations to improve watershed-level soil erosion understanding in data-scarce regions.

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