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 BV]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI5应助清爽的洋葱采纳,获得10
刚刚
刚刚
2秒前
5秒前
wkyt完成签到 ,获得积分10
5秒前
一一完成签到 ,获得积分10
5秒前
5秒前
清爽天川发布了新的文献求助10
6秒前
搬砖的完成签到,获得积分10
7秒前
hjygzv发布了新的文献求助10
7秒前
英俊的铭应助96采纳,获得10
7秒前
钟琪发布了新的文献求助10
8秒前
Lilith发布了新的文献求助10
8秒前
少林一只蛋完成签到,获得积分10
10秒前
共享精神应助空白采纳,获得10
11秒前
李健应助zhongzz采纳,获得10
11秒前
Athos_1992给Athos_1992的求助进行了留言
11秒前
科研通AI5应助清爽的洋葱采纳,获得30
12秒前
xuexue0001完成签到,获得积分20
12秒前
JR完成签到,获得积分10
12秒前
情怀应助yangyang采纳,获得10
14秒前
瘦瘦寄风发布了新的文献求助30
14秒前
曾玉婷发布了新的文献求助10
15秒前
15秒前
18秒前
18秒前
李健的小迷弟应助hjygzv采纳,获得10
19秒前
19秒前
zhongzz完成签到,获得积分10
20秒前
yat发布了新的文献求助10
20秒前
21秒前
22秒前
zxd1999完成签到,获得积分10
22秒前
22秒前
小a发布了新的文献求助10
23秒前
Alison发布了新的文献求助10
24秒前
25秒前
李健的粉丝团团长应助Tong采纳,获得10
25秒前
完美世界应助Lilith采纳,获得10
26秒前
27秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3738341
求助须知:如何正确求助?哪些是违规求助? 3281845
关于积分的说明 10026652
捐赠科研通 2998667
什么是DOI,文献DOI怎么找? 1645324
邀请新用户注册赠送积分活动 782749
科研通“疑难数据库(出版商)”最低求助积分说明 749901