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Use of the Relative Concentration To Evaluate a Multimedia Model for PAHs in the Absence of Emission Estimates

机译:在没有排放估算的情况下使用相对浓度评估PAHs的多媒体模型

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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 × 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{sub}(suspended solids)/C{sub}(soil) and C{sub}(sediment)/C{sub}(soil) (C{sub}i, concentration (mol/m{sup}3) in medium i), the model prediction changed with octanol-water partition coefficient (K{sub}(ow)) from underestimation to overestimation, revealing a limitation to the use of sorption equilibrium assumption and/or K{sub}(ow) 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.
机译:在没有可靠的排放信息的情况下,通过比较预测和测量的12种多环芳烃(PAH)(菲,蒽,荧蒽,pyr,苯,苯并[a]-蒽,苯并[b]荧蒽,苯并[k]荧蒽,苯并[a] py,苯并[a,h]蒽,苯并[g,h,i] per和茚并[1,2,3-c,d] py)。从1999年8月至2000年7月的1年中,在汉城及其邻近地区的7个站点进行了为期一年的季节性多媒体监测(空气颗粒,水(溶解相和悬浮固体,悬浮物,土壤,沉积物和叶子),红松和樱桃李)。 (150 km×150 km)在韩国。使用四个PAH(菲,pyr,苯并[a] re和苯并[g,h,i] ylene)的监测数据对模型进行校准,并使用其余八个PAH进行测试。对于C {sub}(悬浮固体)/ C {sub}(土壤)和C {sub}(沉积物)/ C {sub}(土壤)(C {sub} i,浓度(mol / m {sup} 3)在介质i)中,模型预测随辛醇-水分配系数(K {sub}(ow))从低估到高估变化,揭示了吸附平衡假设和/或K {sub}(ow)的使用存在局限性吸附的描述。但是,对于所有受监视的媒体,模型预测通常与测量值相符(在10的范围内)。相对浓度被证明是评估和改进模型的有用手段。

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