Alternative Approaches for Modeling Gas-Particle Partitioning of Semivolatile Organic Chemicals:Model Development and Comparison

CHRISTIAN W.GOTZ; MARTIN SCHERINGER; MATTHEW MACLEOD

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Alternative Approaches for Modeling Gas-Particle Partitioning of Semivolatile Organic Chemicals:Model Development and Comparison

机译：Alternative Approaches for Modeling Gas-Particle Partitioning of Semivolatile Organic Chemicals:Model Development and Comparison

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We present a novel model of gas-particle partitioning based on polyparameter linear free energy relationships (ppLFERs) that is capable of representing a broad range of aerosol properties.We apply the model to semivolatile organic chemicals including PCBs,DDT,and polar pesticides,and compare it to a widely adopted model based on the octanol-air partition coefficient (K_(OA)).For nonpolar chemicals and cases where sorption to aerosols is dominated by absorption into organic matter,the two models are highly correlated and both are appropriate.Significant differences between the models are found for (a) polar chemicals and (b) aerosols with low organic matter content.The explicit description of polar interactions in the ppLFER approach implies stronger interactions between chemicals and aerosols than the K_(OA)-based model,which describes polar interactions only implicitly and to a limited extent.Practical application of the ppLFER-based model to a wide range of chemicals is currently limited by data gaps in measured Abraham solvation parameters and uncertainties in estimation methods.

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《Environmental Science & Technology: ES&T》 |2007年第4期|1272-1278|共7页
作者
CHRISTIAN W.GOTZ; MARTIN SCHERINGER; MATTHEW MACLEOD;
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作者单位

Safety and Environmental Technology Group,Institute for Chemical and Bioengineering,Swiss Federal Institute of Technology,ETH Zurich,Switzerland,and Department of Environmental Health,Harvard School of Public Health,Boston,Massachusetts 02215;

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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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正文语种英语
中图分类环境化学;
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Alternative Approaches for Modeling Gas-Particle Partitioning of Semivolatile Organic Chemicals:Model Development and Comparison

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