Literature DB >> 12831031

Fate modeling of phenanthrene with regional variation in Tianjin, China.

Shu Tao1, Hongying Cao, Wenxin Liu, Bengang Li, Jun Cao, Fuliu Xu, Xuejun Wang, Raymond M Coveney, Weiran Shen, Baoping Qin, Ren Sun.   

Abstract

A multimedia fate model with spatially resolved air and soil phases was developed and evaluated. The model was used for calculation of phenanthrene concentrations in air, water, soil, and sediment in Tianjin area and transport fluxes between the adjacent bulk phases under steady-state assumption. Both air and soil phases were divided into 3113 individual compartments of 4 km2 each to assess the spatial variation of phenanthrene concentrations and fluxes. Independently measured phenanthrene concentrations in air, water, and soil were used for model validation. The spatial variation in soil was validated using a set of measured phenanthrene concentrations of 188 surface soil samples collected from the area. Most data used either for model calculation or for model validation were collected during the last 5 years. As the results of the model validation, the calculated mean values for phenanthrene concentrations in various bulk phases are in fair agreement with those independently observed and are very close to those calculated using the model without spatial variation. The absolute difference between the calculated and the measured mean concentrations are 0.14, 0.48, and 0.13 log-units (mol/m3) for air, water, and soil, respectively. The spatial distribution patterns of phenanthrene in both air and soil were well modeled. Spatially, however, the model overestimated the soil phenanthrene level at low concentration range and underestimated it at high concentration range. The calculated distribution of phenanthrene in the air matches well with the emission from fossil fuel combustion, while the calculated distribution pattern in the soil is similar to that observed.

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Year:  2003        PMID: 12831031     DOI: 10.1021/es021023b

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  10 in total

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Journal:  Environ Sci Technol       Date:  2010-12-22       Impact factor: 9.028

2.  Basin-scale emission and multimedia fate of triclosan in whole China.

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4.  Spatial distribution and seasonal variation of atmospheric bulk deposition of polycyclic aromatic hydrocarbons in Beijing-Tianjin region, North China.

Authors:  Wentao Wang; Staci L Massey Simonich; Basant Giri; Miao Xue; Jingyu Zhao; Shejun Chen; Huizhong Shen; Guofeng Shen; Rong Wang; Jun Cao; Shu Tao
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5.  Occurrence and geographic distribution of polycyclic aromatic hydrocarbons in agricultural soils in eastern China.

Authors:  Zhe Sun; Jing Liu; Shaojie Zhuo; Yuanchen Chen; Yanyan Zhang; Huizhong Shen; Xiao Yun; Guofeng Shen; Weiping Liu; Eddy Y Zeng; Shu Tao
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6.  Evaluating officially reported polycyclic aromatic hydrocarbon emissions in the Athabasca oil sands region with a multimedia fate model.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-03       Impact factor: 11.205

7.  Pollution assessment and source identifications of polycyclic aromatic hydrocarbons in sediments of the Yellow River Delta, a newly born wetland in China.

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Journal:  Environ Monit Assess       Date:  2008-10-30       Impact factor: 2.513

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Authors:  Xiang-zhen Kong; Wei He; Ning Qin; Qi-Shuang He; Bin Yang; Huiling Ouyang; Qingmei Wang; Chen Yang; Yujiao Jiang; Fuliu Xu
Journal:  ScientificWorldJournal       Date:  2012-12-18

9.  Distributions, sources, and backward trajectories of atmospheric polycyclic aromatic hydrocarbons at Lake Small Baiyangdian, Northern China.

Authors:  Ning Qin; Xiang-Zhen Kong; Ying Zhu; Wei He; Qi-Shuang He; Bin Yang; Hui-Ling Ou-Yang; Wen-Xiu Liu; Qing-Mei Wang; Fu-Liu Xu
Journal:  ScientificWorldJournal       Date:  2012-10-15

10.  Developing a Black Carbon-Substituted Multimedia Model for Simulating the PAH Distributions in Urban Environments.

Authors:  Chunhui Wang; Shenglu Zhou; Yue He; Junxiao Wang; Fei Wang; Shaohua Wu
Journal:  Sci Rep       Date:  2017-11-06       Impact factor: 4.379

  10 in total

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