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辽东湾大气中多环芳烃的含量组成及气粒分配
引用本文:张玉凤,宋永刚,田金,赵海勃,杨爽,吴金浩.辽东湾大气中多环芳烃的含量组成及气粒分配[J].环境科学,2018,39(4):1527-1536.
作者姓名:张玉凤  宋永刚  田金  赵海勃  杨爽  吴金浩
作者单位:辽宁省海洋水产科学研究院, 大连 116023;辽宁省海洋环境监测总站, 大连 116023;中国海洋大学化学化工学院, 青岛 266100,辽宁省海洋水产科学研究院, 大连 116023;辽宁省海洋环境监测总站, 大连 116023,辽宁省海洋水产科学研究院, 大连 116023;辽宁省海洋环境监测总站, 大连 116023,辽宁省海洋水产科学研究院, 大连 116023;辽宁省海洋环境监测总站, 大连 116023,辽宁省海洋水产科学研究院, 大连 116023;辽宁省海洋环境监测总站, 大连 116023,辽宁省海洋水产科学研究院, 大连 116023;辽宁省海洋环境监测总站, 大连 116023
基金项目:辽宁省自然科学基金项目(201602409);辽宁省国家大型仪器设备共享服务能力建设补贴项目(2016);辽宁省海洋与渔业厅科研项目(201416)
摘    要:2016年5月和8月对辽东湾大气环境中气相和颗粒相样品进行了走航和定点采集,并对24种PAHs在气相和颗粒相中的含量和组成进行探讨,对15种PAHs的气粒分配过程进行了分析.结果表明:5月和8月辽东湾大气气相和颗粒相中∑24PAHs总平均含量分别为28.8 ng·m-3和24.0 ng·m-3,气相中∑24PAHs含量5月小于8月,颗粒态∑24PAHs含量5月大于8月,低分子量PAHs主要分布在气相中,高分子量PAHs组分主要分布在颗粒相,中等分子量PAHs的气粒分配更容易受到气温等环境条件影响;气粒分配系数Kp随着PAHs分子量增加而增加;lgKp-lgPL模型和lgKp-lgKOA模型的斜率m分别为-0.35和0.37,偏离平衡态m为-1或+1,辽东湾气粒分配未达到平衡;假设达到平衡态时的lgKp-lgKOA模型、lgKp-lgPL模型和碳黑-空气模型均表明,5环PAHs的模型预测结果与实际测定结果之间的吻合程度较好,15种PAHs的碳黑-空气模型能够更好地接近野外实际测定值,低分子量和中等分子量PAHs的气粒分配受到碳黑影响较大.

关 键 词:多环芳烃  大气  气粒分配  辽东湾  分布
收稿时间:2017/8/18 0:00:00
修稿时间:2017/9/26 0:00:00

Occurrence and Gas-particle Partitioning of Polycyclic Aromatic Hydrocarbons in the Air of Liaodong Bay
ZHANG Yu-feng,SONG Yong-gang,TIAN Jin,ZHAO Hai-bo,YANG Shuang and WU Jin-hao.Occurrence and Gas-particle Partitioning of Polycyclic Aromatic Hydrocarbons in the Air of Liaodong Bay[J].Chinese Journal of Environmental Science,2018,39(4):1527-1536.
Authors:ZHANG Yu-feng  SONG Yong-gang  TIAN Jin  ZHAO Hai-bo  YANG Shuang and WU Jin-hao
Institution:Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, China;Liaoning Ocean Environment Monitoring Station, Dalian 116023, China;College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China,Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, China;Liaoning Ocean Environment Monitoring Station, Dalian 116023, China,Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, China;Liaoning Ocean Environment Monitoring Station, Dalian 116023, China,Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, China;Liaoning Ocean Environment Monitoring Station, Dalian 116023, China,Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, China;Liaoning Ocean Environment Monitoring Station, Dalian 116023, China and Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, China;Liaoning Ocean Environment Monitoring Station, Dalian 116023, China
Abstract:The gas-and particle-phase polycyclic aromatic hydrocarbons (PAHs) were collected from the air of Liaodong Bay in May and August to investigate their occurrence and gas/particle distribution. The 24 PAHs were analyzed for gas-and particle-phase samples, and the concentrations of total gas-and particle-phase PAHs were found to be 28.8 ng·m-3 and 24.0 ng·m-3, respectively. The concentrations of the gas-phase PAHs were higher in August than in May, and the concentrations of the particle-phase PAHs were higher in May than in August. The low molecular weight PAHs were mainly distributed in the gas-phase, and the high molecular weight PAHs were mainly distributed in the particle-phase; the medium molecular weight PAHs were more easily affected by the environmental conditions than the low and high molecular weight PAHs. The value of Kp increased with an increase in the molecular weight. The slopes m for regressed lgKp-lgPL and lgKp-lgKOA plots were -0.35 and 0.37, deviated from -1 and+1 for the equilibrium states of gas/particle partitioning. The equilibrium states of the lgKp-lgKOA, lgKp-lgPL, and soot-air models were applied; the predicted results of the 5-ring PAHs fitted well with the field measure results. The predicted results of the soot-air model were much closer to the field measure results than the results of the lgKP-lgKOA and lgKP-lgPL models; compared to their heavier counterparts, the low and medium molecular weight PAHs were influenced to a greater extent by soot.
Keywords:PAHs  atmosphere  gas-particle partitioning  Liaodong Bay  distribution
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