重庆大气中多环芳香类物质气粒分配模型预测  

Modeling prediction of particle distribution of polycyclic aromatic compounds in the winter atmosphere over Chongqing urban area

作　　者：王子倩 郝炜伟 董玲池 陈静[1] 赵鑫泉 田密 WANG Zi-qian;HAO Wei-wei;DONG Ling-chi;CHEN Jing;ZHAO Xin-quan;TIAN Mi(College of Environmental and Ecology,Chongqing University,Chongqing 400044,China)

机构地区：[1]重庆大学环境与生态学院,重庆400044

出　　处：《中国环境科学》2024年第2期629-637,共9页China Environmental Science

基　　金：重庆市自然科学基金(cstc2020jcyj-msxmX0959)。

摘　　要：本研究以典型半挥发性有机物,多环芳烃(PAHs)及含氧PAHs(OPAHs)为研究对象,基于对重庆典型城区冬季大气样品的采集与分析,探讨不同类型多环芳香类化合物的气粒分配特征及其模型预测.结果表明,OPAHs较同环数PAHs更倾向于分配至颗粒相.PAHs的温度经验模型可较好地模拟其气粒分配行为,但已有模型对OPAHs气粒分配的预测效果均不理想.本研究借鉴PAHs温度经验模型建立方法,利用前期监测数据分别基于温度和相对湿度(RH)建立了预测OPAHs气粒分配的两种经验模型.预测值落入合理偏差区域内的百分数(67.57%及88.74%)及均方根误差(1.05及0.65)分析均表明,相较于前期模型(百分数:52.25%、4.95%、61.26%,均方根误差:1.26、2.21、1.16),基于RH的经验模型可较好地预测OPAHs的气粒分配行为.可见,与PAHs不同,RH对OPAHs气粒分配的影响不可忽略.The gas-particle partitioning of semi-volatile organic compounds(SVOCs)is an extremely important factor affecting their migration and transformation.Two families of typical SVOCs,polycyclic aromatic hydrocarbons(PAHs)and oxygenated PAHs(OPAHs),were targeted to characterize their gas-particle partitioning in the winter atmosphere over typical urban area of Chongqing.Compared to homocyclic PAHs,OPAHs were more likely to be associated with particles.The Temperature empirical model could well predict gas-particle partitioning coefficients for PAHs rather than for PAHs.Referring to the development of the Temperature empirical model for PAHs,two empirical models based on temperature and relative humidity(RH)were developed for OPAHs using the same monitoring data,and the simulation results suggest that the empirical model based on RH can better predict the gas-particle partitioning of OPAHs.Obviously,the impact of RH on the gas-particle partitioning of atmospheric OPAHs can not be ignored.

关 键 词：含氧多环芳烃 气粒分配 预测模型 相对湿度 

分 类 号：X511[环境科学与工程—环境工程]