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基于RUSLE模型和地理探测器的黄河"几字弯"土壤侵蚀时空演变与驱动因素研究

孙语涵 梁伟 齐文瑞

水土保持研究2026,Vol.33Issue(4):10-18,28,10.
水土保持研究2026,Vol.33Issue(4):10-18,28,10.DOI:10.13869/j.cnki.rswc.2026.04.012

基于RUSLE模型和地理探测器的黄河"几字弯"土壤侵蚀时空演变与驱动因素研究

Spatiotemporal evolution and driving factors of soil erosion in Ω-shaped bend of Yellow River based on RUSLE model and geodetector

孙语涵 1梁伟 1齐文瑞1

作者信息

  • 1. 陕西师范大学 地理科学与旅游学院,西安 710100
  • 折叠

摘要

Abstract

[Objective]This study aims to comprehensively understand the soil erosion change patterns and driving factors of the Ω-shaped bend of the Yellow River,promote the social and economic development of the Loess Plateau region,enhance ecological management and restoration efforts,and effectively carry out soil erosion prevention and control work.[Methods]The RUSLE model and GIS technique were combined with the geodetector to analyze the changes and spatiotemporal distribution characteristics of soil erosion in the Ω-shaped bend of the Yellow River from 2000 to 2020.The geodetector was then used to quantify the effects of single-factors and their interactions on soil erosion intensity,and to systematically evaluate the explanatory power of different driving factors.[Results](1)The soil erosion modulus in the Ω-shaped bend of the Yellow River exhibited a marked decreasing trend,declining from 48.76 t/(hm2·a)in 2000 to 20.89 t/(hm2·a)in 2020,representing a reduction of approximately 57.16%.(2)Vegetation coverage was identified as the primary driving factor of soil erosion,with its q value reaching up to 0.317 4.The interaction between vegetation coverage and precipitation showed the strongest explanatory power(with a maximum q value of 0.475 0),indicating that the synergistic influence of vegetation recovery and rainfall characteristics played a crucial role in reducing soil erosion risk.(3)When interacting with precipitation and vegetation coverage,the explanatory power of slope increased substantially,becoming the second and third dominant interaction factors,with maximum q values of 0.393 3 and 0.330 4,respectively.This suggested that,under multi-factor coupling,variations in precipitation and vegetation amplified the role of slope,highlighting its important control effect in shaping regional soil erosion processes.[Conclusion]From 2000 to 2020,the soil erosion in the Ω-shaped bend of the Yellow River shows an overall weakening trend,and its spatiotemporal differentiation is mainly controlled by the vegetation coverage and its interaction with precipitation.Under the condition of multi-factor coupling,the regulatory effect of slope on soil erosion is significantly enhanced.

关键词

RUSLE模型/黄河"几字弯"/土壤侵蚀/地理探测器

Key words

RUSLE model/the Ω-shaped bend of the Yellow River/soil erosion/geodetector

分类

农业科技

引用本文复制引用

孙语涵,梁伟,齐文瑞..基于RUSLE模型和地理探测器的黄河"几字弯"土壤侵蚀时空演变与驱动因素研究[J].水土保持研究,2026,33(4):10-18,28,10.

基金项目

国家自然科学基金面上项目(42571148) (42571148)

国家重点研发计划专项课题(2023YFF1305100) (2023YFF1305100)

陕西省重点研发计划资助项目(2024SF-YBXM-589) (2024SF-YBXM-589)

水土保持研究

1005-3409

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