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首页> 外文期刊>The Science of the Total Environment >Geostatistical analyses and co-occurrence correlations of heavy metals distribution with various types of land use within a watershed in eastern QingHai-Tibet Plateau, China
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Geostatistical analyses and co-occurrence correlations of heavy metals distribution with various types of land use within a watershed in eastern QingHai-Tibet Plateau, China

机译:青藏高原东部流域内重金属分布与各种土地利用的地统计学分析及共现关系

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摘要

Due to increasing anthropogenic disturbance, various pollutants have been frequently detected in QingHai-Tibet Plateau, where the environment is extremely fragile and sensitive to human activities. In this study, 51 sampling siteswith different land coverswere selected in a sub-basin in theHuangshui watershed in eastern QingHai-Tibet Plateau. A total of 102 soil samples were collected at surface (0-20 cm) and subsurface (20-40 cm) depths for studying on heavy metal pollution in this region. The relationships between land cover types and spatial distribution of five heavy metals Cr, Cu, Cd, Pb, and Zn were systematically analyzed combing field survey, remotesensing database, and geostatistical methods. The relationships between soil physiochemical properties and heavy metals were assessed by geostatistics, co-occurrence network analysis and geographically weighted regression (GWR) model. The results indicated that the average concentrations of all five heavy metals in soil were higher than the local background values, indicating the influence of anthropogenic inputs of these elements into environment. Strong positive correlations were observed between some heavy metals and soil physicchemical properties in different land covers, combinedwith the geoaccumulation index, human activities contribution can be interpolated. The Cr and Zn in surface soils are explainers for Cr and Zn in subsurface soils in the GWRmodels respectively, as well as the area of different land cover. Cd contamination was specifically analyzed due to its degree of contamination and then the sources of Cd were identified such as energy production as well as chemical fertilizers. The results of this study can provide basic data for long-termaccumulation of heavymetals in soils under different land uses in QingHai-Tibet Plateau. (c) 2018 Elsevier B. V. All rights reserved.
机译:由于越来越多的人为干扰,青藏高原经常发现各种污染物,那里的环境极为脆弱,对人类活动敏感。本研究在青藏高原东部uang水流域的一个小流域选择了51个不同土地覆盖的采样点。在表面(0-20厘米)和地下(20-40厘米)深度收集了总共102个土壤样品,用于研究该地区的重金属污染。结合野外调查,遥感数据库和地统计学方法,系统地分析了五种重金属Cr,Cu,Cd,Pb和Zn的土地覆盖类型与空间分布的关系。通过地统计学,共现网络分析和地理加权回归(GWR)模型评估了土壤理化性质与重金属之间的关系。结果表明,土壤中所有五种重金属的平均浓度均高于当地背景值,表明这些元素的人为输入对环境的影响。在不同土地覆盖下,某些重金属与土壤理化性质之间存在很强的正相关关系,结合地积累指数,可以推断人类活动的贡献。 GWR模型中表层土壤中的Cr和Zn分别解释了地下土壤中的Cr和Zn,以及不同土地覆被的面积。由于镉的污染程度,对其进行了专门分析,然后确定了镉的来源,例如能源生产和化学肥料。该研究结果可为青藏高原不同土地利用方式下土壤中重金属的长期积累提供基础数据。 (c)2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第25期|849-859|共11页
  • 作者单位

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China;

    Suzhou Acad Agr Sci, Suzhou 215155, Peoples R China;

    Suzhou Acad Agr Sci, Suzhou 215155, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Heavy metal; Co-occurrence network; Geostatistics; Geographically weighted regression; Soil;

    机译:重金属;共现网络;地统计学;地理加权回归;土壤;

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