淄博市城郊臭氧污染特征及影响因素分析

本文基于淄博市2019年18个自动监测站连续1 a的O₃与前体物（NO_x、 VOCs和CO）,及常规气象监测数据（气温、相对湿度、风速和能见度）,选取城区和郊区代表性站点,研究了O₃与前体物的污染特征以及O₃生成的影响因素.结果表明,淄博市2019年O₃-8h浓度超标率为25.8%,超标天多出现在5～9月;城区NO_x浓度高于郊区,而O₃和VOCs浓度较低;各污染物的小时变化率具有明显的季节特征,秋冬季节O₃上升和前体物下降时间均较春夏季节晚1 h左右,且O₃生成累积的高峰时段缩短,城区O₃浓度的整体上升速率高于郊区;对O₃及各影响因素的相关性分析、偏相关分析及线性回归分析得到,O₃与前体物和相对湿度呈负相关,与能见度、气温和风速呈正相关,各因素间存在相互影响;城区站点O₃生成的主控因子有相对湿度、 NO<...

Characteristics of Ozone Pollution and Influencing Factors in Urban and Suburban Areas in Zibo

In this study, we obtained monitoring data of O₃ and its precursors (NO_x, VOCs, and CO), as well as meteorological data (temperature, relative humidity, wind speed, and visibility), in 2019 to analyze the characteristics of O₃ pollution and the influencing factors in urban and suburban areas. The results showed that the O₃ episodes accounted for 25.8% of the whole observation period, mostly occurring from May to September. The concentration of NO_x in urban areas was higher than that in suburban areas, whereas the concentrations of O₃ and VOCs were lower. The hourly rate of variation in each pollutant had obvious seasonal characteristics; for example, the time of O₃ rise and precursor decline in autumn and winter was approximately 1 h later than that in summer, and the peak period of O₃ generation and accumulation was shortened. The increase rate in O₃ in urban areas was higher than that in suburban areas. Correlation analysis and partial correlation analysis were used to study the relationship between O₃ and its influencing factors. The results showed that O₃ was negatively correlated with precursors and relative humidity and positively correlated with visibility, temperature, and wind speed, and these factors interacted with each other. According to the multivariate linear regression analysis, the main controlling factors in urban areas were relative humidity, NO_x, visibility, and VOCs, whereas in suburban areas they were relative humidity, temperature, NO_x, and VOCs.