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首页> 外文期刊>Environmental Pollution >Tracing sulfate origin and transformation in an area with multiple sources of pollution in northern China by using environmental isotopes and Bayesian isotope mixing model
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Tracing sulfate origin and transformation in an area with multiple sources of pollution in northern China by using environmental isotopes and Bayesian isotope mixing model

机译:利用环境同位素和贝叶斯同位素混合模型跟踪中国北方多种污染源地区的硫酸盐的原产地和转化

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摘要

Sulfate (SO42-) contamination in groundwater and surface water is an environmental problem of wide-spread concern. In this study, we combined stable isotope analyses of SO42- (delta S-34 and delta O-18) and water (delta H-2 and delta O-18) with a Bayesian mixing model (SIAR), for the first time, to identify sources and transformation of SO42- in an area of northern China with multiple potential sources of pollution. The overall values of delta S-34 and delta O-18-SO42- ranged from 1.3 parts per thousand to 16.3 parts per thousand and -3.8 parts per thousand-8.8 parts per thousand in groundwater, and from -1.1 parts per thousand to 9.3 parts per thousand and 2.7 parts per thousand-9.2 parts per thousand in surface waters, respectively. Analyses of SO42- isotopes and water chemistry indicated that SO42- in groundwater and surface water mainly originated from mixing of oxidation of sulfate, sewage, chemical fertilizers, dissolution of evaporite and precipitation. There was no significant correlation between delta S-34 and delta O-18 and SO42- concentration in groundwater, indicating that bacterial sulfate reduction did not affect the SO42- isotopic composition. SIAR model showed the main sources of SO42- in groundwater and surface water comprised oxidation of sulfide minerals and sewage. In groundwater, oxidation of sulfide minerals and sewage accounted for 37.5-44.5% and 35.5-42.7% of SO42-, respectively. In regard to surface waters, the contribution of oxidation of sulfide minerals to SO42- was higher in the wet season (31.8 +/- 9.9%) than in the intermediate (22.4 +/- 7.8%) and dry (20.9 +/- 8.2%) seasons, but the contribution proportion of sewage was slightly lower in the wet season (19.9 +/- 8.5%) than in the intermediate (23.8 +/- 8.7%) and dry (24.2 +/- 8.5%) seasons. This study indicates that it is necessary for local government to improve the treatment infrastructure for domestic sewage and optimize methods of agricultural fertilization and irrigation to prevent SO42- contamination of groundwater and surface water. (C) 2020 Elsevier Ltd. All rights reserved.
机译:地下水和地表水中的硫酸盐(SO42-)污染是广泛关注的环境问题。在这项研究中,我们首次将SO42-(Delta S-34和Delta O-18)和水(Delta H-2和Delta O-18)的稳定同位素分析与贝叶斯混合模型(SAR)相结合,以多种潜在的污染来源确定SO42的来源和转型 - 在中国北方地区。 Delta S-34和Delta O-18-SO42的总体值在地下水中每千千至8.8份/千分之千分之千至16.3份/份千分之一,从-1.1份千分之一到9.3各千元和2.7份千分之一千分之一千分之一的地表水域。 SO42-同位素和水化学的分析表明,SO42-地下水和地表水主要源于硫酸盐氧化,污水,化肥,蒸发釜溶解和沉淀的混合。 Delta S-34和Delta O-18和地下水中SO42浓度之间没有显着相关性,表明细菌硫酸盐还原不影响SO42-同位素组合物。 SIAR模型显示SO42-地下水和地表水的主要来源,包括氧化硫化物矿物和污水。在地下水中,硫化物矿物和污水的氧化分别占SO42-的37.5-44.5%和35.5-42.7%。关于表面水,耐硫化物矿物氧化在湿季节(31.8 +/- 9.9%)中氧化至SO42-比中间体(22.4 +/- 7.8%)和干燥(20.9 +/- 8.2 %)季节,但污水的贡献比例在湿季节(19.9 +/- 8.5%)略低于中间体(23.8 +/- 8.7%)和干燥(24.2 +/- 8.5%)季节。本研究表明,当地政府有必要改善国内污水的处理基础设施,优化农业施肥和灌溉方法,以防止地下水和地表水污染。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2020年第2期|115105.1-115105.11|共11页
  • 作者单位

    Chinese Acad Geol Sci Hebei & China Geol Survey Key Lab Groundwater Rem Inst Hydrogeol & Environm Geol Shijiazhuang 050061 Hebei Peoples R China|Chinese Acad Sci Inst Geol & Geophys Key Lab Cenozo Geol & Environm Beijing 100029 Peoples R China;

    Chinese Acad Geol Sci Hebei & China Geol Survey Key Lab Groundwater Rem Inst Hydrogeol & Environm Geol Shijiazhuang 050061 Hebei Peoples R China;

    Chinese Acad Geol Sci Hebei & China Geol Survey Key Lab Groundwater Rem Inst Hydrogeol & Environm Geol Shijiazhuang 050061 Hebei 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《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Sulfate; Stable isotope; Bayesian isotope mixing model; Water environment; Pollution sources;

    机译:硫酸盐;稳定同位素;贝叶斯同位素混合模型;水环境;污染源;

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