Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation

空气质量指数 环境科学 空气污染 三角洲 污染 污染物 臭氧 大气科学 环境工程 2019年冠状病毒病(COVID-19) 空气污染物 气象学
作者
Li Li,Qing Li,Ling Huang,Qian Wang,Ansheng Zhu,Jian Xu,Ziyi Liu,Hongli Li,Lishu Shi,Rui Li,Majid Azari,Yangjun Wang,Xiaojuan Zhang,Zhiqiang Liu,Yonghui Zhu,Kun Zhang,Shuhui Xue,Maggie Chel Gee Ooi,Dongping Zhang,Andy Chan
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:732: 139282-139282 被引量:262
标识
DOI:10.1016/j.scitotenv.2020.139282
摘要

The outbreak of COVID-19 has spreaded rapidly across the world. To control the rapid dispersion of the virus, China has imposed national lockdown policies to practise social distancing. This has led to reduced human activities and hence primary air pollutant emissions, which caused improvement of air quality as a side-product. To investigate the air quality changes during the COVID-19 lockdown over the YRD Region, we apply the WRF-CAMx modelling system together with monitoring data to investigate the impact of human activity pattern changes on air quality. Results show that human activities were lowered significantly during the period: industrial operations, VKT, constructions in operation, etc. were significantly reduced, leading to lowered SO 2 , NO x , PM 2.5 and VOCs emissions by approximately 16–26%, 29–47%, 27–46% and 37–57% during the Level I and Level II response periods respectively. These emission reduction has played a significant role in the improvement of air quality. Concentrations of PM 2.5 , NO 2 and SO 2 decreased by 31.8%, 45.1% and 20.4% during the Level I period; and 33.2%, 27.2% and 7.6% during the Level II period compared with 2019. However, ozone did not show any reduction and increased greatly. Our results also show that even during the lockdown, with primary emissions reduction of 15%–61%, the daily average PM 2.5 concentrations range between 15 and 79 μg m −3 , which shows that background and residual pollutions are still high. Source apportionment results indicate that the residual pollution of PM 2.5 comes from industry (32.2–61.1%), mobile (3.9–8.1%), dust (2.6–7.7%), residential sources (2.1–28.5%) in YRD and 14.0–28.6% contribution from long-range transport coming from northern China. This indicates that in spite of the extreme reductions in primary emissions, it cannot fully tackle the current air pollution. Re-organisation of the energy and industrial strategy together with trans-regional joint-control for a full long-term air pollution plan need to be further taken into account. • Air quality changes during the COVID-19 in YRD region are analyzed. • The WRF-CAMx modelling system is applied to investigate impact of lowered human activities on air quality changes. • Sources of the residual pollution are figured out for policy implications for future air pollution control.

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