首页|基于数理统计探究部分城市O3污染的影响因素

基于数理统计探究部分城市O3污染的影响因素

扫码查看
对全国及不同区域部分城市O3污染状况及其影响因素进行重点分析.结果表明,北部城市(石家庄市、郑州市)的O3与PM2.5浓度在冬季均呈负相关,其他季节均呈正相关;中南部城市(荆门市、赣州市)的O3与PM2.5浓度全年基本均呈正相关关系;在O3污染显著月份,O3与PM2.5年际浓度基本均呈同升同降的协同变化趋势.2022年5月~9月,当日0:00~6:00 O3与NO2平均浓度呈正相关,O3超标天的NO2浓度明显高于达标天,石家庄市、郑州市、荆门市、赣州市O3生成的NO2敏感拐点质量浓度分别为32,24,17,14 μg/m3,NO2浓度若降至敏感点以下时,O3污染可能会有所改善.
Research on the Influencing Factors of Ozone Pollution in Some Cities of China Based on Mathematical Statistics
This paper focused on the analysis of O3 pollution and its influencing factors in cities in different regions of China.The results showed that the concentration of O3 and PM2.5 in northern cities(Shijiazhuang and Zhengzhou)were negatively correlated in winter and positively correlated in other seasons while the central and southern cities(Jingmen and Ganzhou)were generally positively correlated throughout the year.In months with significant O3 pollution,the interannual concentrations of O3 and PM2.5 showed a synergistic trend.From May to September 2022,there was a positive correlation between O3 and NO2 from 0 to 6 o'clock In four cities,NO2 concentration on the day when O3 exceeded the standard was significantly higher than that in standard days.The NO2 sensitive inflection point mass concentrations in Shijiazhuang,Zhengzhou,Jingmen and Ganzhou were respectively 32,24,17 and 14 µg/m3.If the NO2 concentration could be reduced below the sensitive point,and the O3 pollution might be improved.

Cities in different regionsO3PM2.5NO2

张彤、陈荣强、马景金、张佳崎、王春迎、潘本锋

展开 >

河北先河环保科技股份有限公司,河北 石家庄 050035

河北先进环保产业创新中心有限公司,河北石家庄 050035

生态环境物联网与大数据应用技术国家地方联合工程研究中心,北京 100096

不同区域城市 O3 PM2.5 NO2

2024

环境科技
徐州市环境监测中心站 江苏省环境科学研究院

环境科技

CSTPCD
影响因子:0.969
ISSN:1674-4829
年,卷(期):2024.37(6)