Lee Yunah, Lee Dong Soo, Kim Seung-Kyu, Kim Yoon Kwan, Kim Dong Won
Graduate School of Environmental Studies, Seoul National University, Kwanak ku, Shilimdong San 56-1, Seoul 151-742, Korea.
Environ Sci Technol. 2004 Feb 15;38(4):1079-88.
With no confident emission information, a dynamic multimedia model (POPsME) was evaluated by comparing predicted and measured relative concentrations (defined as the ratio of concentration in a medium to that in soil) for 12 polycyclic aromatic hydrocarbons (PAHs) (phenanthrene, anthracene, fluoranthene, pyrene, chrysene, benz[a]anthracene, benzo[b]fluoranthene, benzo[k]fluoranthene, benzo[a]pyrene, dibenz[a,h]anthracene, benzo[g,h,i]perylene, and indeno[1,2,3-c,d]pyrene). Field monitoring for multimedia (air particulates, water (dissolved phase and suspended solids), soil, sediment, and leaves of Pinus koraiensis and Prunus serrulata) was conducted seasonally over 1 yr from August 1999 to July 2000 at seven sites in Seoul and neighboring areas (150 km x 150 km) in Korea. The model was calibrated using the monitoring data of four PAHs (phenanthrene, pyrene, benzo[a]pyrene, and benzo[g,h,i]perylene) and tested with the remaining eight PAHs. For C(suspended solids)/C(soil) and C(sediment)/C(soil) (Ci, concentration (mol/m3) in medium i), the model prediction changed with octanol-water partition coefficient (Kow) from underestimation to overestimation, revealing a limitation to the use of sorption equilibrium assumption and/or Kow for the description of sorption. Nonetheless, the model prediction generally agreed with the measured within a factor of 10 for all the monitored media. The relative concentration was shown to be a useful means to evaluate and improve the model.
由于缺乏可靠的排放信息，通过比较12种多环芳烃（PAHs）（菲、蒽、荧蒽、芘、 Chrysene、苯并[a]蒽、苯并[b]荧蒽、苯并[k]荧蒽、苯并[a]芘、二苯并[a,h]蒽、苯并[g,h,i]苝和茚并[1,2,3-c,d]芘）的预测相对浓度和实测相对浓度（定义为某一介质中的浓度与土壤中浓度之比），对一个动态多媒体模型（POPsME）进行了评估。于1999年8月至2000年7月的一年时间里，在韩国首尔及其周边地区（150 km×150 km）的7个地点，按季节对空气颗粒物、水（溶解相和悬浮固体）、土壤、沉积物以及红松和山樱花的树叶等多媒体进行了实地监测。该模型利用4种PAHs（菲、芘、苯并[a]芘和苯并[g,h,i]苝）的监测数据进行校准，并对其余8种PAHs进行测试。对于C（悬浮固体）/C（土壤）和C（沉积物）/C（土壤）（Ci，介质i中的浓度（mol/m³）），模型预测随正辛醇-水分配系数（Kow）从低估变为高估，这表明使用吸附平衡假设和/或Kow来描述吸附存在局限性。尽管如此，对于所有监测介质，模型预测结果与实测值总体上在10倍的范围内相符。相对浓度被证明是评估和改进该模型的一种有用手段。
