水土保持研究2025，Vol.32Issue(6)：1-10,20,11.DOI:10.13869/j.cnki.rswc.2025.06.031
基于RUSLE模型和最优地理探测器的兴安盟地区1985-2023年土壤侵蚀研究
Study on soil erosion in Xing'an League from 1985 to 2023 based on RUSLE model and optimal parameter-based geodetector
摘要
Abstract
[Objective]To reveal the spatiotemporal differentiation characteristics and their causes of soil erosion in Xing'an League,thereby providing a scientific basis for soil erosion prevention and control in the region.[Methods]Using the Revised Universal Soil Loss Equation(RUSLE)model and the optimal parameter-based geodetector,the spatial distribution,variations in erosion intensity,and influencing factors of soil erosion in Xing'an League from 1985 to 2023 were analyzed.[Results](1)Mild erosion was predominant in the study area.Regions with high-intensity erosion were concentrated in the eastern and southern regions.The average erosion area accounted for 17.37％of the total area,with an average erosion modulus of 2.43 t/(hm2·a),and the annual soil erosion amount reached 11.4329 million tons.(2)An overall intensifying trend in soil erosion intensity was observed in Xing'an League.Among the areas,71.64％saw no significant changes in erosion intensity levels.The areas of mild and slight erosion decreased by 5.60％and 0.93％,respectively,while the areas of moderate,severe,very severe,and extremely severe increased.(3)Vegetation coverage,slope gradient,annual precipitation,and land use type were identified as the main factors influencing soil erosion,with their interactions significantly enhancing the explanatory power for spatial variations of erosion modulus.(4)The newly identified high-risk areas were characterized by bare land,annual precipitation of 462～466 mm,vegetation cover＜0.1％,organic carbon content of 8.19～12.2 g/kg,clay content of 274～307 g/kg,sand content of 671～800 g/kg,silt content of 16～205 g/kg,elevation of 430～589 m,slope gradient of 40.8°～45.3°,population density of 5～6 person/km2,and GDP of 311～598 yuan/km2.[Conclusion]The soil erosion intensity in Xing'an League shows an overall intensifying trend.High-risk erosion areas require prioritized remediation,and it is recommended to adopt region-specific,differentiated remediation strategies.关键词
土壤侵蚀/RUSLE/兴安盟/参数最优地理探测器Key words
soil erosion/RUSLE/Xing'an League/optimal parameter-based geodetector分类
农业科技引用本文复制引用
黄庆丽,史常青,赵廷宁,杨建英,安淼,翟雪倩,曾文杰,魏晓东,马梦遥..基于RUSLE模型和最优地理探测器的兴安盟地区1985-2023年土壤侵蚀研究[J].水土保持研究,2025,32(6):1-10,20,11.基金项目
内蒙古企事业单位项目"兴安盟历史遗留矿山水土流失现状评估"(2023-HXFW-435) （2023-HXFW-435）
