首页|2022年新冠疫情期间昆山市近地面臭氧特征及成因分析

2022年新冠疫情期间昆山市近地面臭氧特征及成因分析

Analysis on the Characteristics and Causes of Near-Surface Ozone in Kunshan During the COVID-19 Epidemic in 2022

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为研究 2022 年新冠疫情期间管控措施对昆山市空气质量产生的影响,分析了疫情前期及管控期大气污染物(尤其是臭氧 O3)浓度的变化特征,并对 O3 的空间分布、成因及来源进行了解析.结果表明:疫情管控后,一次污染物浓度呈递进式降低,而 O3 日最大 8 h滑动平均质量浓度(O3-8 h)显著上升,其中管控中期的污染最严重,明显超过历史同期水平.空间分布上O3-8 h高值区主要集中在市区西部(高新区)及西北部区域,较 2021 年增幅显著.NO2 浓度下降比与O3-8 h上升比的空间分布呈现出良好的对应关系,NO2 降幅高的区域 O3-8 h 增幅也高,同时两者浓度变化呈非线性相关,当 NO2 浓度达到一个临界值时,O3 浓度随之出现下降.典型污染过程中 O3 日变化仍为显著的"单峰型",但振幅明显增大,O3 与气温、能见度、日照呈显著正相关,与相对湿度和气压呈显著负相关.结合风向及后向轨迹聚类分析来看,此次污染气团主要来自浙江、安徽等地,占总气团输入的 64%左右.
In order to study the impact of control measures on air quality in Kunshan City during the COVID-19 pandemic in 2022,this paper analyzed the variation characteristics of atmospheric pollutants,especially ozone concentration during the pre-epidemic and control periods,the spatial distribution,causes and sources of ozone pollution were researched.The results showed that under the pandemic control measures,the concentration of primary pollutants decreased progressively,while O3-8 h concentration increased significantly,and the pollution was the most severe during middle period of epidemic control,obviously surpassing the historical level in the same period.The high values of O3-8 h were mainly concentrated in the western(New&High-tech Industrial Development Zone)and northwestern areas of the city,showed a significant increase compared to 2021.The spatial distribution of the reduction rate of NO2 and the rise rate of O3-8 h showed a good correspondence,the regions with high NO2 reduction also had high O3-8 h increase.They also showed a nonlinear correlation,when the NO2 concentration reached a critical value,the ozone concentration decreased accordingly.The daily change of ozone showed an obvious"single-peak"pattern with a significant increase in amplitude during the typical pollution events,ozone concentration was significantly positive correlation with air temperature,visibility and sunshine,and negative correlation with relative humidity and air pressure.Combined with the wind direction and backward trajectory cluster analysis,the air masses of pollution mainly came from Zhejiang Province,Anhui Province,accounting for about 64%of the total input air masses.

COVID-19 pandemicanthropogenic emission reductionair qualityozonepollution source

吴珂、陈慧敏、曾山佰、郁泰立、吴俊梅、夏蕴玉、汪婷、王晓春

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昆山市气象局,江苏 昆山 215337

苏州市气象局,江苏 苏州 215000

新冠疫情 人为减排 空气质量 臭氧 污染源

江苏省重点研发计划项目苏州市科技计划项目

BE2019387SS2019033

2024

中国环境监测
中国环境监测总站

中国环境监测

CSTPCD北大核心
影响因子:1.761
ISSN:1002-6002
年,卷(期):2024.40(5)