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Spatial distribution, source identification, and potential risk assessment of toxic contaminants in surface waters from Yulin, China

机译:中国榆林市地表水中有毒污染物的空间分布,来源识别和潜在风险评估

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摘要

The Yulin Energy and Chemical Industry Base is widely known for its rich mineral resources and multiple types of fossil-fuel-based chemical industries; nevertheless, information regarding the level of toxic contaminants in the surface waters is lacking in this area. Therefore, this study investigates the distributions, sources, and risks of various toxic contaminants, including heavy metals, organochlorine pesticides (OCPs), and polycyclic aromatic hydrocarbons (PAHs), from 35 sampling sites in eight rivers. The sigma HCH concentration ranged from 1.28 to 6.64ng/L with predominant -HCH, and the sigma DDT concentration was less than 0.35ng/L. The OCPs were derived from the recent input of lindane, residual technical-grade HCHs, and DDTs. The soil type can affect the environmental fate of DDT, and p,p-DDE was widespread in the sandy land and loess areas. p,p-DDD was rarely detected in the Mu Us Sandy Land area. The calculated ratios of isomers indicated that petroleum was the major source of PAHs. OCP and PAH contamination in the surface waters posed potential risks at several sampling sites. Due to the impacts by industrial emissions, agricultural sources, and vehicular traffic, the distribution of contaminant concentrations in the surface waters exhibited a significant spatial relationship with the land use pattern in the study region according to the results of principal component analysis and cluster analysis.
机译:榆林能源化工基地以其丰富的矿产资源和多种以化石燃料为基础的化学工业而闻名。但是,该地区缺乏有关地表水中有毒污染物水平的信息。因此,本研究调查了八条河流中35个采样点的各种有毒污染物的分布,来源和风险,包括重金属,有机氯农药(OCP)和多环芳烃(PAH)。西格玛六氯环己烷的浓度范围为1.28至6.64ng / L,主要为-六氯环己烷,而西格玛滴滴涕的浓度小于0.35ng / L。 OCP来自林丹,残留的工业级六氯环己烷和滴滴涕的最新投入。土壤类型会影响滴滴涕的环境命运,p,p-DDE广泛分布在沙地和黄土地区。在Mu Us Sandy Land地区很少检测到p,p-DDD。计算出的异构体比例表明,石油是多环芳烃的主要来源。在几个采样点,地表水中的OCP和PAH污染构成潜在风险。由于工业排放,农业资源和车辆交通的影响,根据主成分分析和聚类分析的结果,研究区域地表水中污染物浓度的分布与土地利用格局表现出显着的空间关系。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2019年第5期|293.1-293.17|共17页
  • 作者单位

    Xian Univ Architecture & Technol, Minist Educ, Key Lab Northwest Water Resource Ecol & Environm, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China|Yulin Univ, Sch Civil Engn, Yulin 719000, Peoples R China;

    Xian Univ Architecture & Technol, Minist Educ, Key Lab Northwest Water Resource Ecol & Environm, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China|Yanan Univ, Sch Petr & Environm Engn, Yanan 716000, Peoples R China;

    Xian Univ Architecture & Technol, Minist Educ, Key Lab Northwest Water Resource Ecol & Environm, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

    Xian Univ Architecture & Technol, Minist Educ, Key Lab Northwest Water Resource Ecol & Environm, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

    Xian Univ Architecture & Technol, Minist Educ, Key Lab Northwest Water Resource Ecol & Environm, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

    Xian Univ Architecture & Technol, Minist Educ, Key Lab Northwest Water Resource Ecol & Environm, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Spatial distribution; Source identification; OCPs; PAHs; Chemical industry;

    机译:空间分布;源识别;OCPs;PAHs;化工;

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