中文关键词近地面臭氧氮氧化物城区郊区山区气象因素广州 英文关键词surface ozonenitrogen oxidesurban sitesuburban sitemountain sitemeteorological factorsGuangzhou

作者	单位	E-mail
高平	华南理工大学环境与能源学院, 广州 510006	1914907317@qq.com
庄立跃	华南理工大学环境与能源学院, 广州 510006
王龙	广东省环境科学研究院, 广州 510045
陈瑜萍	华南理工大学环境与能源学院, 广州 510006
闫慧	华南理工大学环境与能源学院, 广州 510006
沈劲	广东省环境监测中心, 广州 510308
范丽雅	华南理工大学环境与能源学院, 广州 510006 挥发性有机物污染治理技术与装备国家工程实验室, 广州 510006 广东省大气环境与污染控制重点实验室, 广州 510006 广东省环境风险防控与应急处置工程技术研究中心, 广州 510006	fanly@scut.edu.cn
叶代启	华南理工大学环境与能源学院, 广州 510006 挥发性有机物污染治理技术与装备国家工程实验室, 广州 510006 广东省大气环境与污染控制重点实验室, 广州 510006 广东省环境风险防控与应急处置工程技术研究中心, 广州 510006

中文摘要 近地面臭氧（O₃）已成为广州市的主要空气污染物.由于受地形、气象条件和前体物排放差异的影响，同一个城市内不同地区臭氧的变化特征与影响因素也存在较大差异.基于2015年10月广州4个代表不同站点类型［城区：广州市监测站（GMC）、上风向郊区：花都师范（HNS）、下风向郊区：番禺中学（PMS）和山区：帽峰山森林公园（MFS）］的空气质量监测站数据，结合WRF模拟的气象数据，研究了各站点O₃的变化特征、影响因素及敏感性.结果表明，4个站点的O₃和NO_x日变化分别呈现单、双峰分布特征（MFS站点NO_x除外），GMC、HNS和MFS站点的O₃峰值出现在周六，而PMS出现在周四.MFS的O₃日均浓度最高（98.61 μg·m^-3），GMC的O₃日均浓度最低（44.83 μg·m^-3）.不同站点臭氧浓度超标的NO_x拐点区间分别为：GMC：55～90 μg·m^-3，PMS：30～60 μg·m^-3，MFS：10～20 μg·m^-3.O₃增长率的温度（T）拐点区间分别为：GMC：28～30℃，HNS：26～28℃，PMS：24～26℃，MFS的拐点温度不明显；湿度（RH）拐点区间分别为：GMC 55%～65%，HNS和PMS 60%～70%，MFS 80%～85%.轻风类风速（WS：1.5～3.3m·s^-1）与O₃呈现正相关；当风向为西北风向时，PMS站点的O₃浓度最高，其他风向下MFS的O₃浓度最高.通过各影响因子与O₃的多元线性拟合发现，影响各站点O₃的主控因子是，GMC：WS和T；PMS和HNS：T和RH，MFS：RH和WS.各站点O₃敏感性分别是，GMC和HNS为VOCs控制区，MFS为NO_x控制区，PMS为协同控制区. 英文摘要 Surface ozone (O₃) has become the primary air pollutant in Guangzhou. Due to the influences of topography, meteorological conditions, and differences in precursor emissions, there are also large differences in the characteristics, formation mechanisms, and influencing factors of ozone in different areas of the same city. Based on the ground measurement data for October 2015 at four air quality monitoring stations that represent different types of regions in Guangzhou [urban area:Guangzhou Monitoring Center (GMC); upwind suburbs:Huadu Normal School (HNS); downwind suburbs:Panyu Middle School (PMS); Mountain area:Maofengshan (MFS)] and the WRF simulated meteorological data, the changing characteristics, influencing factors, and sensitivity of O₃ were studied at each station. The results showed that the diurnal variation of O₃ and NO_x exhibit unimodal and bimodal characteristics (except for NO_x at the MFS station). The peak ozone concentration appeared on Saturday at the GMC, HNS, and MFS stations, and on Thursday at the PMS station. The ozone concentration at the MFS station was the highest (98.61 μg·m^-3), whereas that at the GMC station was the lowest (44.83 μg·m^-3). The NO_x inflection point intervals for O₃ at different sites were:GMC:55-90 μg·m^-3; PMS:30-60 μg·m^-3; MFS:10-20 μg·m^-3. The temperature inflection point intervals affecting the rate of O₃ formation at different sites were:GMC:28-30℃; HNS:26-28℃; PMS:24-26℃; however, this was not obvious at the MFS station. The relative humidity inflection point intervals were:GMC:55%-65% ; HNS and PMS:60%-70% ; MFS:80%-85%. The wind speed(WS) of the light wind type was proportional to the O₃ concentration. The O₃ concentration at the PMS site was the highest in the northwest wind direction, and the O₃ concentration at the MFS site was the highest in the other wind directions. By analyzing the multivariate linear fitting of impact factors on the O₃ concentration, the main controlling factors at each site were:GMC:WS and T; PMS and HNS:T and RH; MFS:RH and WS. The ozone sensitivity at each site was as follows:GMC and HNS had a VOCs-limited regime, MFS had a NO_x-limited regime, and PMS had a transition regime.

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