| COVID-19疫情期间京津冀大气污染物变化及影响因素分析 |
| 摘要点击 3517 全文点击 868 投稿时间：2020-07-27 修订日期：2020-08-22 |
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| 中文关键词 COVID-19疫情 京津冀地区 空气质量 污染特征 人为影响 |
| 英文关键词 COVID-19 epidemic Beijing-Tianjin-Hebei region air quality pollution characteristics human influence |
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| 中文摘要 |
| 为了应对COVID-19疫情，京津冀地区采取了一系列严格的管控措施，这些措施导致了大气污染物人为源排量的减少，为探究大气污染受人类活动的影响程度提供了时机.将疫情防控分为前期、初期、中期和后期这4个阶段，并结合气象、交通量和工业数据，综合运用数理统计和空间分析方法，得出各时间段大气污染物的变化情况及影响因素，为京津冀地区进一步治理大气污染提出了合理化建议.结果表明：①京津冀三地在疫情防控期总体的AQI值和6项污染物同比2019年均有下降，其中SO2、PM10和NO2的降幅较大（分别为26.5%、24.3%和16.9%）；由初期到后期，各污染物（除O3）总体处于下降趋势；O3在初期增幅大（76.2%），中后期增幅放缓.②防控初期北京市的重污染天气是污染物本地积累、二次转化和区域传输共同作用的结果；北京2月份的PM2.5浓度同比相似气象条件下的2014年2月偏低近6成；若仅考虑人为减排的影响，则各污染物浓度同比2019年均有下降.③防控中后期，随着交通量和工业复工率进一步扩大，各污染物变化趋于平稳或有微升；重工业城市的热异常辐射强度与主要污染物的灰色关联度大于0.6，即控制工业排量仍是治理大气污染的关键. |
| 英文摘要 |
| A series of strict control measures were imposed in the Beijing-Tianjin-Hebei region in early 2020 to control the spread of COVID-19. These measures have led to a reduction of anthropogenic air pollutants, providing an opportunity to observe the contribution of human activities to local air pollution. In this study, the control period was divided into four stages:the before, early, middle, and later stages. Based on a variety of data including meteorological, traffic, and industrial manufacturing datasets, statistical methods were combined with spatial analysis to evaluate changes in air pollution and associated human impacts during each stage. In addition, suggestions are made for further regional air pollution control in the Beijing-Tianjin-Hebei area. Key results are as follows:① Overall, the AQI and the concentrations of six air pollutants, especially SO2, PM10, and NO2, were lower during control period than during the equivalent period in 2019 (reductions of 26.5%, 24.3%, and 16.9%, respectively). From the before to later stages, pollutants (except O3) showed a downward trend while O3 increased significantly during the before stage (by 76.2%) and the growth rate slowed during the middle and later stages; ②During the prior stage, Beijing experienced two periods with heavy air pollution days as a result of the local accumulation of pollutants, secondary transformation, and regional transport. The concentration of PM2.5 in February was nearly 60% lower than in February 2014 under similar meteorological conditions in Beijing; ③ Following an increase in traffic volume and industrial activity, changes in air pollutants tended to be stable or slightly increase during the middle and later stages of the control period. The grey relation coefficients between thermal radiation intensity anomalies and the main pollutants in heavy industrial cities were greater than 0.6, which means that the control of industrial emissions remains key to controlling air pollution. |
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