Gao Ping, Zhuang Li-Yue, Wang Long, Chen Yu-Ping, Yan Hui, Shen Jin, Fan Li-Ya, Ye Dai-Qi
School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
Guangdong Province Academy of Environmental Science, Guangzhou 510045, China.
Huan Jing Ke Xue. 2020 Aug 8;41(8):3527-3538. doi: 10.13227/j.hjkx.202002097.
Surface ozone (O) 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 O were studied at each station. The results showed that the diurnal variation of O and NO exhibit unimodal and bimodal characteristics (except for NO 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), whereas that at the GMC station was the lowest (44.83 μg·m). The NO inflection point intervals for O at different sites were:GMC:55-90 μg·m; PMS:30-60 μg·m; MFS:10-20 μg·m. The temperature inflection point intervals affecting the rate of O 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 O concentration. The O concentration at the PMS site was the highest in the northwest wind direction, and the O concentration at the MFS site was the highest in the other wind directions. By analyzing the multivariate linear fitting of impact factors on the O concentration, the main controlling factors at each site were:GMC:WS and ; PMS and HNS: 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-limited regime, and PMS had a transition regime.
地表臭氧(O)已成为广州的主要空气污染物。由于地形、气象条件以及前体物排放差异的影响,同一城市不同区域的臭氧在特征、形成机制和影响因素方面也存在较大差异。基于代表广州不同类型区域的4个空气质量监测站[市区:广州监测中心(GMC);上风向郊区:花都师范学校(HNS);下风向郊区:番禺中学(PMS);山区:帽峰山(MFS)]2015年10月的地面监测数据以及WRF模拟的气象数据,研究了各站点O的变化特征、影响因素及敏感性。结果表明,O和NO的日变化呈现单峰和双峰特征(MFS站的NO除外)。GMC、HNS和MFS站的臭氧浓度峰值出现在周六,PMS站出现在周四。MFS站的臭氧浓度最高(98.61μg·m),而GMC站最低(44.83μg·m)。不同站点O的NO拐点区间为:GMC:55 - 90μg·m;PMS:30 - 60μg·m;MFS:10 - 20μg·m。不同站点影响O生成速率的温度拐点区间为:GMC:28 - 30℃;HNS:26 - 28℃;PMS:24 - 26℃;但在MFS站不明显。相对湿度拐点区间为:GMC:55% - 65%;HNS和PMS:60% - 70%;MFS:80% - 85%。微风类型的风速(WS)与O浓度成正比。PMS站点在西北风方向时O浓度最高,MFS站点在其他风向时O浓度最高。通过分析影响因素对O浓度的多元线性拟合,各站点的主要控制因素为:GMC:WS和;PMS和HNS:和RH;MFS:RH和WS。各站点的臭氧敏感性如下:GMC和HNS处于VOCs限制型,MFS处于NO限制型,PMS处于过渡型。