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新冠疫情期间影响全球九个城市臭氧浓度短期上升的气象因素分析。

Analysis of the meteorological factors affecting the short-term increase in O concentrations in nine global cities during COVID-19.

作者信息

Bi Zhongsong, Ye Zhixiang, He Chao, Li Yunzhang

机构信息

College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.

School of Architecture and Civil Engineering, Huangshan University, Huangshan, 245041, China.

出版信息

Atmos Pollut Res. 2022 Sep;13(9):101523. doi: 10.1016/j.apr.2022.101523. Epub 2022 Aug 17.

Abstract

Surface ozone (O) is a major air pollutant around the world. This study investigated O concentrations in nine cities during the Coronavirus disease 2019 (COVID-19) lockdown phases. A statistical model, named Generalized Additive Model (GAM), was also developed to assess different meteorological factors, estimate daily O release during COVID-19 lockdown and determine the relationship between the two. We found that: (1) Daily O significantly increased in all selected cities during the COVID-19 lockdown, presenting relative increases from -5.7% (in São Paulo) to 58.9% (in Guangzhou), with respect to the average value for the same period in the previous five years. (2) In the GAM model, the adjusted coefficient of determination (R) ranged from 0.48 (Sao Paulo) to 0.84 (Rome), and it captured 51-85% of daily O variations. (3) Analyzing the expected O concentrations during the lockdown, using GAM fed by meteorological data, showed that O anomalies were dominantly controlled by meteorology. (4) The relevance of different meteorological variables depended on the cities. The positive O anomalies in Beijing, Wuhan, Guangzhou, and Delhi were mostly associated with low relative humidity and elevated maximum temperature. Low wind speed, elevated maximum temperature, and low relative humidity were the leading meteorological factors for O anomalies in London, Paris, and Rome. The two other cities had different leading factor combinations.

摘要

地表臭氧(O)是全球主要的空气污染物。本研究调查了2019年冠状病毒病(COVID-19)封锁阶段九个城市的臭氧浓度。还开发了一种名为广义相加模型(GAM)的统计模型,以评估不同的气象因素,估算COVID-19封锁期间的每日臭氧排放量,并确定两者之间的关系。我们发现:(1)在COVID-19封锁期间,所有选定城市的每日臭氧浓度均显著增加,相对于前五年同期的平均值,相对增幅从-5.7%(圣保罗)到58.9%(广州)不等。(2)在GAM模型中,调整后的决定系数(R)范围为0.48(圣保罗)至0.84(罗马),该模型解释了51%-85%的每日臭氧浓度变化。(3)利用气象数据输入的GAM分析封锁期间的预期臭氧浓度,结果表明臭氧异常主要受气象因素控制。(4)不同气象变量的相关性因城市而异。北京、武汉、广州和德里的正臭氧异常主要与低相对湿度和最高气温升高有关。低风速、最高气温升高和低相对湿度是伦敦、巴黎和罗马臭氧异常的主要气象因素。另外两个城市有不同的主导因素组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a8/9385202/72d422e1929a/ga1_lrg.jpg

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