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Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas:Based on the geodetector method

机译:喀斯特地区不同地貌类型土壤侵蚀定量归因分析:基于地球探测方法

摘要

The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research.However,studies on the multi-factor synthesis are still relatively lacked.In this study,the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method.The influencing factors,such as land use type,slope,rainfall,elevation,lithology and vegetation cover,have been taken into consideration.Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types.Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin,especially for land use type whose power of determinant (q value) for soil erosion was much higher than other factors.The q value of slope declined with the increase of relief in mountainous areas,namely it was ranked as follows:middle elevation hill> small relief mountain> middle relief mountain.Multi-factors interactions were proven to significantly strengthen soil erosion,particularly for the combination of land use type with slope,which can explain 70% of soil erosion distribution.It can be found that soil erosion in the same land use type with different slopes (such as dry land with slopes of 5° and above 25°) or in the diverse land use types with the same slope (such as dry land and forest with a slope of 5°),varied much.These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas.Based on statistics of soil erosion difference between diverse stratifications of each influencing factor,results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas.Therefore,the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.
机译:水土流失的形成机理和影响因素识别是当前研究的核心和前沿问题。但是,关于水土流失的多因素综合研究仍相对缺乏。本研究对水土流失进行了模拟和定量归因分析。基于RUSLE模型和地球探测方法对典型喀斯特盆地不同地貌类型进行了研究。考虑了土地利用类型,坡度,降雨,海拔,岩性和植被覆盖等因素。六种影响因素与土壤侵蚀的联系强度在不同的地貌类型上差异显着。土地利用类型和坡度是三岔河流域水土流失的主要因素,尤其是对于那些具有决定因素(q值)的土地利用类型坡度的q值随山地起伏的增加而降低区域依次为:中海拔山地>小浮雕山>中浮山。多因素相互作用被证明能显着增强土壤侵蚀,特别是对于土地利用类型与坡度的结合,可以解释70%的土壤侵蚀。可以发现,相同坡度的土地利用类型(例如坡度为5°及25°以上的旱地)或坡度相同的不同土地利用类型(如旱地)的土壤侵蚀坡度为5°的土地和森林变化很大。这表明禁止陡坡耕种和退耕还林是控制喀斯特地区水土流失的合理措施。基于每种影响因素不同分层之间水土流失差异的统计数据因素,风险检测器的结果表明,在小救济山区和中救济山区至少有显着差异的分层组合数量占55%。因此,应研究不同地貌类型土壤侵蚀的空间异质性及其影响因素,以更有效地控制喀斯特土壤流失。

著录项

  • 来源
    《地理学报(英文版)》 |2019年第2期|271-286|共16页
  • 作者单位

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 04:25:30

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