双月刊

ISSN 1006-9895

CN 11-1768/O4

新冠疫情防控措施对昆山市空气质量的影响
作者:
作者单位:

1.昆山市气象局;2.南京大学

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基金项目:

国家重点研究发展计划(2019YFA0606803);国家自然科学基金(42075099, 41675143, 42077192, 41621005);中央高校基本科研基金(0207-14380169)


Impact of the COVID-19 Lockdown on Air Quality in Kunshan, Eastern China
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Affiliation:

Nanjing Univeristy

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    摘要:

    为了应对新冠疫情,昆山市严格遵守国家防疫规定,自2020年1月24日开始采取了严格的封锁管控措施。以机动车活动为首的人为排放量因而减少,空气质量也因此发生变化。利用昆山市环境监测网络,并结合气象观测系统,综合运用数理统计和空间分析方法,针对疫情防控前期(2020年1月1日-1月20日)和疫情管控期间(2020年1月27日-2月15日)两个阶段,调查人类活动模式变化对昆山市空气质量的影响。结果表明,昆山市污染治理工作取得良好进展,与过去3年同期(1月1日至2月15日)相比,颗粒物(PM2.5和PM10)超标天数减少了4天,但日最大8小时臭氧浓度(MDA8 O3)升高了14%,表明严重的O3污染已不局限于夏季,而即将成为全年多发性问题。由于疫情期间以交通部门为首的排放量减少,O3的重要前体物二氧化氮(NO2)以及颗粒物浓度均显著下降,疫情管控期间内MDA8 O3的升高(62%)。选取污染个例研究发现,即使在减排的情况下也可能发生严重的污染事件,因而气象条件对空气质量的影响是不可忽视的。本研究进一步了解了昆山市主要污染物在冬季的浓度特征,并探究了人为源及气象要素对污染物的影响,也将为长三角城市尺度的气溶胶的模拟和预测结果提供科学参考。

    Abstract:

    In order to deal with the COVID-19 outbreak, Kunshan has strictly followed the national epidemic prevention regulations and has taken strict lockdown measures since January 24, 2020. Anthropogenic emissions, led by motor vehicle activity, have been reduced and air quality has changed as a result. Based on the environmental monitoring network, combined with the meteorological observation system, the integrated use of mathematical statistics and spatial analysis methods have been applied to investigate the impact of variations in human activity patterns on the air quality of Kunshan city before (from January 1, 2020 - January 20) and during the lockdown (from January 27, 2020 - February 15). The results show that great progress has been made in pollution control comparing with the same period (from January 1 to February 15) in the past three years, in that the days of exceeding the standard of particulate matter (PM2.5 and PM10) have decreased by 4 days. The daily maximum 8-hour ozone concentration (MDA8 O3), however, has increased by 14%, indicating that severe O3 pollution is about to be a problem throughout whole year rather than limited in summertime. Due to the reduction of emissions mainly from transportation sector during the lockdown, the concentration of nitrogen dioxide (NO2), an important precursor of O3, and particulate matter decreased significantly while MDA8 O3 increased during this period (62%). It is found that severe pollution events may occur even in the case of emission reduction, so the influence of meteorological conditions on air quality cannot be ignored. It is found that serious pollution events may occur even in the case of emission reduction, so the influence of meteorological conditions on air quality cannot be ignored. This study further improves the insights into the characteristics of main pollutants in Kunshan in winter, and explores the impact of anthropogenic emissions and meteorological factors on pollutants, which will provide a scientific reference for the simulation and prediction of aerosol at the urban scale in the Yangtze River Delta, China.

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历史
  • 收稿日期:2021-09-09
  • 最后修改日期:2022-01-18
  • 录用日期:2022-01-19
  • 在线发布日期: 2022-02-28
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