Fate Modeling of Phenanthrene with Regional Variation in Tianjin, China

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• 作者：Shu Tao ; Hongying Cao ; Wenxin Liu ; Bengang Li ; Jun Cao ; Fuliu Xu ; Xuejun Wang ; Raymond M. Coveney ; Jr. ; Weiran Shen ; Baoping Qin ; and Ren Sun
• 刊名：Environmental Science & Technology
• 出版年：2003
• 出版时间：June 1, 2003
• 年：2003
• 卷：37
• 期：11
• 页码：2453 - 2459
• 全文大小：410K
• 年卷期：v.37,no.11(June 1, 2003)
• ISSN：1520-5851

文摘

A multimedia fate model with spatially resolved air andsoil phases was developed and evaluated. The model wasused for calculation of phenanthrene concentrations inair, water, soil, and sediment in Tianjin area and transportfluxes between the adjacent bulk phases under steady-state assumption. Both air and soil phases were divided into3113 individual compartments of 4 km² each to assessthe spatial variation of phenanthrene concentrations andfluxes. Independently measured phenanthrene concentrationsin air, water, and soil were used for model validation.The spatial variation in soil was validated using a set ofmeasured phenanthrene concentrations of 188 surface soilsamples collected from the area. Most data used eitherfor model calculation or for model validation were collectedduring the last 5 years. As the results of the modelvalidation, the calculated mean values for phenanthreneconcentrations in various bulk phases are in fair agreementwith those independently observed and are very close tothose calculated using the model without spatial variation.The absolute difference between the calculated and themeasured mean concentrations are 0.14, 0.48, and 0.13 log-units (mol/m³) for air, water, and soil, respectively. Thespatial distribution patterns of phenanthrene in both air andsoil were well modeled. Spatially, however, the modeloverestimated the soil phenanthrene level at low concentrationrange and underestimated it at high concentrationrange. The calculated distribution of phenanthrene in theair matches well with the emission from fossil fuel combustion,while the calculated distribution pattern in the soil issimilar to that observed.