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首页> 外文期刊>Environmental Science & Technology >Sorption of PFOS in 114 Well-Characterized Tropical and Temperate Soils: Application of Multivariate and Artificial Neural Network Analyses
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Sorption of PFOS in 114 Well-Characterized Tropical and Temperate Soils: Application of Multivariate and Artificial Neural Network Analyses

机译：PFOS在114次特征热带和温带土壤中的吸附：多元和人工神经网络分析的应用

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摘要

The influence of soil properties on PFOS sorption are not fully understood, particularly for variable charge soils. PFOS batch sorption isotherms were conducted for 114 temperate and tropical soils from Australia and Fiji, that were well-characterized for their soil properties, including total organic carbon (TOC), anion exchange capacity, and surface charge. In most soils, PFOS sorption isotherms were nonlinear. PFOS sorption distribution coefficients (K_d) ranged from 5 to 229 mL/ g (median: 28 mL/g), with 63% of the Fijian soils and 35% of the Australian soils showing K_d values that exceeded the observed median K_d. Multiple linear regression showed that TOC, amorphous aluminum and iron oxides contents, anion exchange capacity, pH, and silt content, jointly explained about 53% of the variance in PFOS K_d in soils. Variable charge soils with net positive surface charges, and moderate to elevated TOC content, generally displayed enhanced PFOS sorption than in temperate or tropical soils with TOC as the only sorbent phase, especially at acidic pH ranges. For the first time, two artificial neural networks were developed to predict the measured PFOS K_d (R~2 = 0.80) in the soils. Overall, both TOC and surface charge characteristics of soils are important for describing PFOS sorption.
机译：土壤性质对PFOS吸附的影响尚未完全理解，特别是对于可变电荷土壤。 PFOS分批吸附等温线于来自澳大利亚和斐济的114个温带和热带土壤，其良好地对其土壤性质，包括总有机碳（TOC），阴离子交换能力和表面电荷。在大多数土壤中，PFOS吸附等温线是非线性的。 PFOS吸附分布系数（K_D）的范围为5至229ml / g（中位数：28 ml / g），斐济土壤的63％和35％的澳大利亚土壤，显示出超过观察到的中位数K_D的K_D值。多元线性回归显示TOC，无定形铝和氧化铁含量，阴离子交换能力，pH和淤泥含量，共同解释了土壤中PFOS K_D差异的约53％。可变电荷土壤具有净阳性表面电荷，中等至升高至碳含量，一般显示增强的PFOS吸附，而不是温带或热带土壤与TOC作为唯一的吸附阶段，尤其是酸性pH范围。首次开发了两个人工神经网络以预测土壤中测量的PFOS K_D（R〜2 = 0.80）。总的来说，土壤的TOC和表面电荷特性对于描述PFOS吸附很重要。

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  • 来源
    《Environmental Science & Technology》 |2021年第3期|1779-1789|共11页
  • 作者

    Anthony C. Umeh; Ravi Naidu; Sonia Shilpi; Emmanuel B. Boateng; Aminur Rahman; Ian T. Cousins; Sreenivasulu Chadalavada; Dane Lamb; Mark Bowman;

  • 作者单位

    Global Centre for Environmental Remediation (GCER) and Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE) University of Newcastle Callaghan New South Wales 2308 Australia;

    Global Centre for Environmental Remediation (GCER) and Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE) University of Newcastle Callaghan New South Wales 2308 Australia;

    Global Centre for Environmental Remediation (GCER) University of Newcastle Callaghan New South Wales 2308 Australia;

    School of Health Sciences University of Newcastle Callaghan New South Wales 2308 Australia Department of Civil and Construction Engineering Swinburne University of Technology Victoria 3122 Australia;

    Global Centre for Environmental Remediation (GCER) University of Newcastle Callaghan New South Wales 2308 Australia;

    Department of Environmental Science Stockholm University SE-10691 Stockholm Sweden;

    Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE) University of Newcastle Callaghan New South Wales 2308 Australia;

    Global Centre for Environmental Remediation (GCER) University of Newcastle Callaghan New South Wales 2308 Australia;

    Australian Department of Defence Deakin ACT 2600 Australia;

  • 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);
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