首页|期刊导航|水土保持研究|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

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OA

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

中文摘要英文摘要

[目的]系统探究黄河"几字弯"土壤侵蚀时空演变规律及其驱动因素,推动黄土高原地区社会经济发展,加强生态环境治理与修复以及有效开展水土流失防治工作.[方法]通过 RUSLE模型与 GIS技术分析 2000-2020年黄河"几字弯"土壤侵蚀变化情况及时空分布特征,结合地理探测器定量分析单因子及其交互作用对土壤侵蚀强度的影响程度,系统评估了不同驱动因素的解释能力.[结果](1)黄河"几字弯"区域土壤侵蚀模数总体呈下降趋势,从2000年的48.76 t/(hm2·a)降至2020年的20.89 t/(hm2·a),下降了约57.16%.(2)植被覆盖度是土壤侵蚀最主要的驱动因子,其q值最高可达0.317 4,与降水量的交互作用对土壤侵蚀的解释力最强,最高可达0.475 0,说明植被恢复与降雨特征的协同效应对降低土壤侵蚀风险具有关键作用.(3)坡度在与降水量和植被覆盖度交互后,其解释力显著增强,成为第二、三主导交互因子,q值最高分别为0.393 3,0.330 4,说明降水与植被变化在多因子耦合条件下可放大坡度的作用,在区域侵蚀机制中具有关键控制效应.[结论]2000-2020年黄河"几字弯"土壤侵蚀整体呈减弱趋势,其时空分异主要受植被覆盖度及其与降水量的交互作用控制;在多因子耦合条件下,坡度对土壤侵蚀的调控作用显著增强.

[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.

孙语涵;梁伟;齐文瑞

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

农业科技

RUSLE模型黄河"几字弯"土壤侵蚀地理探测器

RUSLE modelthe Ω-shaped bend of the Yellow Riversoil erosiongeodetector

《水土保持研究》 2026 (4)

10-18,28,10

国家自然科学基金面上项目(42571148)国家重点研发计划专项课题(2023YFF1305100)陕西省重点研发计划资助项目(2024SF-YBXM-589)

10.13869/j.cnki.rswc.2026.04.012

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