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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
投稿时间:2023-03-15  修订日期:2024-05-15
DOI:10.19316/j.issn.1002-6002.2024.05.04
中文关键词:  新冠疫情  人为减排  空气质量  臭氧  污染源
英文关键词:COVID-19 pandemic  anthropogenic emission reduction  air quality  ozone  pollution source
基金项目:江苏省重点研发计划项目(BE2019387);苏州市科技计划项目(SS2019033)
作者单位
吴珂 昆山市气象局, 江苏 昆山 215337 
陈慧敏* 苏州市气象局, 江苏 苏州 215000 
曾山佰 苏州市气象局, 江苏 苏州 215000 
郁泰立 昆山市气象局, 江苏 昆山 215337 
吴俊梅 昆山市气象局, 江苏 昆山 215337 
夏蕴玉 昆山市气象局, 江苏 昆山 215337 
汪婷 昆山市气象局, 江苏 昆山 215337 
王晓春 昆山市气象局, 江苏 昆山 215337 
通讯作者:陈慧敏*  苏州市气象局, 江苏 苏州 215000  
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中文摘要:
      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。
英文摘要:
      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.
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