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Estimating the in situ Sediment-Porewater Distribution of PAHs and Chlorinated Aromatic Hydrocarbons in Anthropogenic Impacted Sediments

机译:估算人为影响沉积物中多环芳烃和氯化芳烃的原位沉积物-孔隙水分布

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摘要

It has become increasingly apparent that the in situ sediment-porewater distribution behavior of organic compounds within anthropogenic impacted sediments is quite diverse, and challenging to generalize. Traditional models based on octanol-water partitioning generally overestimate native porewater concentrations, and modern approaches accounting for multiple carbon fractions, including black carbon, appear sediment specific. To assess the diversity of this sorption behavior, we collected all peer-reviewed total organic carbon (TOC)-normalized in situ sediment-porewater distribution coefficients, K_(TOC), for impacted sediments. This entailed several hundreds of data for PAHs, PCBs, PCDD/Fs, and chlorinated benzenes, covering a large variety of sediments, locations, and experimental methods. Compound-specific K_(TOC) could range up to over 3 orders of magnitude. Output from various predictive models for individual carbonaceous phases found in impacted sediments, based on peer-reviewed polyparameter linear free energy relationships (PP-LFERs), Raoult's Law, and the SPARC online-calculator, were tested to see if any of the models could consistently predict literature K_(TOC) values within a factor of 30 (i.e., ~1.5 orders of magnitude, or half the range of K_(TOC) values). The Raoult's Law model and coal tar PP-LFER achieved the sought-after accuracy for all tested compound classes, and are recommended for general, regional-scale modeling purposes. As impacted sediment-porewater distribution models are unlikely to get more accurate than this, this review underpins that the only way to accurately obtain accurate porewater concentrations is to measure them directly, and not infer them from sediment concentrations.
机译:越来越明显的是,人为影响的沉积物中有机化合物的原位沉积物-孔隙水分布行为非常多样,并且难以推广。基于辛醇-水分配的传统模型通常会高估天然孔隙水的浓度,而考虑了包括黑碳在内的多种碳组分的现代方法似乎具有特定的沉积物。为了评估这种吸附行为的多样性,我们收集了所有同行评议的受影响沉积物的总有机碳(TOC)归一化原位沉积物-孔隙水分配系数K_(TOC)。这涉及到PAH,PCB,PCDD / F和氯化苯的数百个数据,涵盖了各种各样的沉积物,位置和实验方法。特定于化合物的K_(TOC)范围可能超过3个数量级。根据同行评审的多参数线性自由能关系(PP-LFERs),拉乌尔定律和SPARC在线计算器,对受影响沉积物中各个碳相的各种预测模型的输出进行了测试,以查看是否有任何模型可以始终在30倍(即〜1.5个数量级,或K_(TOC)值范围的一半)内预测文献K_(TOC)值。 Raoult定律模型和煤焦油PP-LFER在所有测试的化合物类别中都达到了人们追捧的准确性,因此建议将其用于一般的区域规模建模。由于受影响的沉积物-孔隙水分布模型不可能比该模型更准确,因此,这篇综述强调了准确获得准确孔隙水浓度的唯一方法是直接测量孔隙水浓度,而不是从沉积物浓度中推断出它们。

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  • 来源
    《Environmental Science & Technology》 |2009年第15期|5576-5585|共10页
  • 作者单位

    Department of Environmental Engineering, Norwegian Geotechnical Institute (NGI), P.O. Box 3930 Ulleval Stadion. N-0806 Oslo. Norway;

    Department of Environmental Engineering, Norwegian Geotechnical Institute (NGI), P.O. Box 3930 Ulleval Stadion. N-0806 Oslo. Norway Department of Geoseienees, University of Oslo, P.O. Box 1047 Blindern, N-0316 Oslo, Norway;

    Department of Environmental Engineering, Norwegian Geotechnical Institute (NGI), P.O. Box 3930 Ulleval Stadion. N-0806 Oslo. Norway Department of Applied Environmental Sciences (ITM), Stockholm University, 10691 Stockholm, Sweden;

  • 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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  • 正文语种 eng
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