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February 5, 2026Sustainability1 citationsOpen Access

A Data-Driven Analysis of Soil Erosion Assessment and Driving Forces in the Henan Section of the Yellow River Basin

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ZXZhongliang XieGLGuangchun LiuXWXu Wang

Key Points

  • This research examines the factors influencing soil erosion in the Henan section of the Yellow River Basin, aiming to guide effective conservation strategies.
  • Utilized monthly remote sensing data from 2010 to 2025 as the primary data source.
  • Employed the Revised Universal Soil Loss Equation (RUSLE) model for calculating soil erosion volumes.
  • Applied Geographic Information System (GIS) geographic detectors to quantitatively analyze soil erosion factors.
  • The average soil erosion in the study area was primarily micro and mild from 2010 to 2025.
  • Significant soil erosion occurs every 3–4 years, but the overall trend shows a decrease in erosion.
  • Slope was identified as the most significant factor affecting soil erosion, followed by water conservation measures and rainfall.

Abstract

Soil erosion undermines the sustainable development of land—a vital resource for human survival. Research into the spatiotemporal dynamics of soil erosion is therefore crucial for formulating effective soil and water conservation strategies and advancing ecological protection efforts. In the domain of soil erosion research, the Universal Soil Loss Equation and Revised Universal Soil Loss Equation (USLE/RUSLE) model represent the dominant approach for quantifying soil erosion volumes. While this methodology yields reliable outcomes, it fails to incorporate an assessment of the relative significance of the factors embedded within the model. This study selected the Henan section of the Yellow River Basin as the research area, using monthly remote sensing data from 2010 to 2025 as the main data source. Taking into account factors such as rainfall, slope, elevation, vegetation coverage, and hydrological conservation measures, the RUSLE model was used to calculate and combine Geographic Information System (GIS) geographic detectors for quantitative analysis of soil erosion factors. The results showed the following: (1) The average soil erosion modulus in the study area from 2010 to 2025 was mainly micro and mild erosion. (2) Soil erosion exhibits a certain periodicity, with a year of significant soil erosion occurring every 3–4 years. The overall trend of soil erosion is a decrease. (3) Geographic detector analysis shows that slope has the greatest impact on soil erosion, with larger slopes leading to more severe soil erosion. The influence of each factor ranges from large to small as slope > water conservation measures > rainfall > vegetation coverage > elevation. (4) The interaction between factors can enhance the influence on soil erosion, and the interaction between vegetation cover factors and other factors significantly increases the influence; after interacting with various factors, the slope factor will significantly increase the influence of soil erosion. The research results can provide technical support and decision-making basis for ecological protection in the Yellow River Basin, such as through soil and water conservation, returning farmland to forests, and slope greening; The dominant factors and obvious interaction factors in the research area can provide a scientific basis for subsequent scholars to optimize the parameters of regional models.

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Cite This Study

Xie et al. (2026) studied this question.

synapsesocial.com/papers/6984358ff1d9ada3c1fb48b5https://doi.org/10.3390/su18031520
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