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首页> 外文期刊>Journal of soils & sediments >Source apportionment of soil heavy metals in fluvial islands, Anhui section of the lower Yangtze River: comparison of APCS-MLR and PMF
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Source apportionment of soil heavy metals in fluvial islands, Anhui section of the lower Yangtze River: comparison of APCS-MLR and PMF

机译：河流岛土壤重金属土壤重金属的源分摊，下长江安徽段：APCS-MLR和PMF的比较

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摘要

Purpose Source apportionment is a crucial step toward reducing heavy metal (HM) pollution within soils. Although comparison of receptor models to apportion sources is well-established in air and water pollution, it has been poorly implemented in evaluations of soil pollution. This study aimed (1) to assess the accumulation of As, Cr, Cu, Ni, Pb, Zn, Cd and Hg in soils of fluvial islands of the lower Yangtze River and (2) to apportion sources in a comparative evaluation of two receptor models, thus providing basic information for rational management of soil pollution in the study area. Materials and methods Soil samples were collected from representative fluvial islands in the Anhui section of the lower Yangtze River, China. A total of 207 topsoil samples (0-20 cm) were collected at a density of 1 sample per 1 km(2) and 43 subsoil samples (150-180 cm) were collected at a density of 1 sample per 4 km(2). The extent of pollution was estimated by determining total soil HM concentrations and calculating the geoaccumulation index (I-geo). The Local Moran's index (LMI) was applied to detect the spatial distribution of HMs. Absolute principal component scores-multiple linear regression (APCS-MLR) and positive matrix factorization (PMF) were adopted to apportion the sources of HMs. Results and discussion The mean degree of contamination of the HMs can be ranked as follows: Cd Hg Cu Ni Cr Zn As Pb. Average HM concentrations in topsoil were consistently higher than those in subsoil, with total HM concentrations varying between fluvial islands. Source apportionments suggested that the particle size effect was the dominant factor (59.3%) in the APCS-MLR model, whereas in the PMF model, calcium minerals played the most important role (50.2%). Concentrations of Cr and Ni were mainly related to the particle size effect, whereas concentrations of As, Cu, Pb and Zn were mainly related to the particle size effect, fixation by calcium minerals and atmospheric deposition from mining activities. The primary source for Cd anomalies was associated with calcium minerals and atmospheric deposition, whereas the accumulation of soil Hg was mainly driven by coal combustion. Conclusions This study indicated there was no extensive HM contamination in the study area except for Cd. Compared with APCS-MLR, PMF provided an optimal reconstruction of HM concentrations in soils. Thus, the PMF model could be applied to soils for HM pollution management in areas with multiple emission sources.
机译：目的源分配是减少土壤中重金属（HM）污染的关键步骤。尽管受体模型对分摊源的比较是在空气和水污染中的良好建立的，但它在土壤污染的评估中得到了很差。本研究旨在（1）评估下长江下部河流群体土壤中AS，Cr，Cu，Ni，Pb，Zn，Cd和Hg的积累，并在两次受体的比较评估中分配给分配来源模型，为研究区的土壤污染理性管理提供基本信息。材料和方法在中国下长江市安徽群中从代表性河岛收集土壤样品。在每1km（2）的密度为每1km（2）时收集总共207个表泡样品（0-20cm），并以每4公里/每4 km的密度收集43个替替物液（150-180cm）（2） 。通过确定总土壤HM浓度并计算地质累积指数（I-Geo）来估算污染程度。应用本地莫兰的指数（LMI）被应用于检测HMS的空间分布。采用绝对主成分分数 - 采用多元线性回归（APCS-MLR）和正矩阵分组（PMF）来分配HMS源。结果与讨论HMS的平均污染程度可以如下排名：CD> Hg> Cu> Ni> Cr> Zn> As> Pb。表土的平均HM浓度始终高于诸如诸如诸如诸如氟虫岛之间的总HM浓度。源分配表明，粒径效应是APCS-MLR模型中的主要因素（59.3％），而在PMF模型中，钙矿物发挥了最重要的作用（50.2％）。 Cr和Ni的浓度主要与粒度效应有关，而AS，Cu，Pb和Zn的浓度主要与粒径效应，通过钙矿物和大气沉积的粒度效应相关。 Cd异常的主要来源与钙矿物质和大气沉积有关，而土壤Hg的积累主要由煤燃烧驱动。结论本研究表明，除CD外，研究区内没有广泛的HM污染。与APCS-MLR相比，PMF提供了土壤中HM浓度的最佳重建。因此，可以将PMF模型应用于具有多个排放来源的地区的HM污染管理的土壤。

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  • 来源
    《Journal of soils & sediments》 |2020年第9期|3380-3393|共14页
  • 作者

    Wu Jingtao; Margenot Andrew J.; Wei Xiao; Fan Manman; Zhang Huan; Best James L.; Wu Pengbao; Chen Furong; Gao Chao;

  • 作者单位

    Nanjing Univ Sch Geog & Ocean Sci Nanjing 210023 Peoples R China|Univ Illinois Ven Te Chow Hydrosyst Lab Dept Geol Urbana IL 61801 USA|Univ Illinois Ven Te Chow Hydrosyst Lab Dept Geog & GIS Urbana IL 61801 USA|Univ Illinois Ven Te Chow Hydrosyst Lab Dept Mech Sci & Engn Urbana IL 61801 USA;

    Univ Illinois Dept Crop Sci Urbana IL 61801 USA;

    Nanjing Univ Sch Geog & Ocean Sci Nanjing 210023 Peoples R China;

    Nanjing Univ Sch Geog & Ocean Sci Nanjing 210023 Peoples R China;

    Nanjing Univ Sch Geog & Ocean Sci Nanjing 210023 Peoples R China;

    Univ Illinois Ven Te Chow Hydrosyst Lab Dept Geol Urbana IL 61801 USA|Univ Illinois Ven Te Chow Hydrosyst Lab Dept Geog & GIS Urbana IL 61801 USA|Univ Illinois Ven Te Chow Hydrosyst Lab Dept Mech Sci & Engn Urbana IL 61801 USA;

    Huizhou Univ Sch Geog & Tourism Huizhou 516007 Guangdong Peoples R China;

    Anhui Geol Survey Inst Hefei 230001 Peoples R China;

    Nanjing Univ Sch Geog & Ocean Sci Nanjing 210023 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 metals; Fluvial islands; Yangtze River; Source appointment; APCS-MLR; PMF;

    机译：重金属;河群;长江;源预约;APCS-MLR;PMF;

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