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评估 COVID-19 前后中国江苏省的大气环境质量模式变化。

Assessing the change of ambient air quality patterns in Jiangsu Province of China pre-to post-COVID-19.

机构信息

School of Geography, Nanjing Normal University, Nanjing, 210023, China; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, No. 1 Wenyuan Road, Nanjing, China.

Kymeta Corporation, Redmond, WA, USA.

出版信息

Chemosphere. 2022 Feb;288(Pt 2):132569. doi: 10.1016/j.chemosphere.2021.132569. Epub 2021 Oct 14.

Abstract

Following the outbreak of the novel coronavirus in early 2020, to effectively prevent the spread of the disease, major cities across China suspended work and production. While the rest of the world struggles to control COVID-19, China has managed to control the pandemic rapidly and effectively with strong lockdown policies. This study investigates the change in air pollution (focusing on the air quality index (AQI), six ambient air pollutants nitrogen dioxide (NO), ozone (O), sulphur dioxide (SO), carbon monoxide (CO), particulate matter with aerodynamic diameters ≤10 μm (PM) and ≤2.5 μm (PM)) patterns for three periods: pre-COVID (from 1 January to May 30, 2019), active COVID (from 1 January to May 30, 2020) and post-COVID (from 1 January to May 30, 2021) in the Jiangsu province of China. Our findings reveal that the change in air pollution from pre-COVID to active COVID was greater than in previous years due to the government's lockdown policies. Post-COVID, air pollutant concentration is increasing. Mean change PM from pre-COVID to active COVID decreased by 18%; post-COVID it has only decreased by 2%. PM decreased by 19% from pre-COVID to active COVID, but post-COVID pollutant concentration has seen a 23% increase. Air pollutants show a positive correlation with COVID-19 cases among which PM, PM and NO show a strong correlation during active COVID-19 cases. Metrological factors such as minimum temperature, average temperature and humidity show a positive correlation with COVID-19 cases while maximum temperature, wind speed and air pressure show no strong positive correlation. Although the COVID-19 pandemic had numerous negative effects on human health and the global economy, the reduction in air pollution and significant improvement in ambient air quality likely had substantial short-term health benefits; the government must implement policies to control post-COVID environmental issues.

摘要

自 2020 年初新冠病毒爆发以来,为了有效阻止疾病传播,中国各大城市暂停了工作和生产。当世界其他地区努力控制 COVID-19 时,中国通过强有力的封锁政策迅速有效地控制了疫情。本研究调查了新冠疫情爆发前(2019 年 1 月 1 日至 5 月 30 日)、新冠疫情活跃期(2020 年 1 月 1 日至 5 月 30 日)和新冠疫情后(2021 年 1 月 1 日至 5 月 30 日)三个时期江苏省空气污染(重点是空气质量指数(AQI)、六种环境空气污染物二氧化氮(NO)、臭氧(O)、二氧化硫(SO)、一氧化碳(CO)、空气动力学直径≤10μm(PM)和≤2.5μm(PM))的变化模式。我们的研究结果表明,由于政府的封锁政策,从新冠疫情前到活跃期空气污染的变化大于往年。新冠疫情后,空气污染物浓度呈上升趋势。从新冠疫情前到活跃期,PM 的平均变化量减少了 18%;新冠疫情后,仅减少了 2%。从新冠疫情前到活跃期,PM 减少了 19%,但新冠疫情后污染物浓度增加了 23%。空气污染物与 COVID-19 病例呈正相关,其中 PM、PM 和 NO 在活跃的 COVID-19 病例中呈强相关。气象因素如最低温度、平均温度和湿度与 COVID-19 病例呈正相关,而最高温度、风速和气压与 COVID-19 病例没有强正相关。尽管 COVID-19 大流行对人类健康和全球经济造成了许多负面影响,但空气污染的减少和环境空气质量的显著改善可能带来了实质性的短期健康益处;政府必须实施政策来控制新冠疫情后的环境问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2219/8514250/13a20ae5c06e/ga1_lrg.jpg

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