• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于RAMS-CMAQ的2020年初新冠疫情防控期间污染物减排对空气质量的影响

[Impact of Pollutant Emission Reduction on Air Quality During the COVID-19 Pandemic Control in Early 2020 Based on RAMS-CMAQ].

作者信息

Liu Hou-Feng, Xu Wei, Wei Min, Sui Xiao, Xu Peng-Ju, Li Ming-Yan, Zhang Mei-Gen

机构信息

College of Geography and Environment, Shandong Normal University, Ji'nan 250014, China.

Environmental Technology and Policy Research Center, Shandong Normal University, Ji'nan 250014, China.

出版信息

Huan Jing Ke Xue. 2021 Mar 8;42(3):1215-1227. doi: 10.13227/j.hjkx.202007246.

DOI:10.13227/j.hjkx.202007246
PMID:33742919
Abstract

In this work, the relationships between air quality and pollutant emissions were investigated during the COVID-19 pandemic in Shandong Province. During the quarantine period (from January 24 to February 7, 2020), the concentrations of atmospheric pollutants decreased significantly relative to the period before controls were imposed (from January 15 to 23, 2020). Specifically, except for an increase in the concentration of O, concentrations of PM, PM, NO, SO, and CO decreased for 72.6 μg·m (45.86%), 47.4 μg·m(41.24%), 25.6 μg·m (58.00%), 3.0 μg·m (17.71%), and 0.5 mg·m (31.40%), respectively. RAMS-CMAQ simulation showed that meteorological diffusion had an essential role in improving air quality. Influenced by meteorological factors, emissions of PM, PM, NO, SO and CO were reduced 26.04%, 33.03%, 28.35%, 43.27%, and 23.29%, respectively. Furthermore, the concentrations of PM, PM, NO, SO, and CO were reduced by 19.82%, 8.21%, 29.65%, -25.56%, and 8.12%, respectively, due to pollution emissions reductions during the quarantine period. O concentrations increased by 20.51% during quarantine, caused by both meteorological factors (10.47%) and human activities (10.04%). These results indicate that primary pollutants were more sensitive to emissions reductions; however, secondary pollutants demonstrated a lagged response the emissions reduction and were significantly affected by meteorological factors. The linear relationship between ozone and the emissions reduction was not significant, and was inverse overall. Further investigation are now required on the impact of emissions reduction on ozone pollution control.

摘要

本研究调查了山东省新冠疫情期间空气质量与污染物排放之间的关系。在隔离期(2020年1月24日至2月7日),大气污染物浓度相对于管控措施实施前的时期(2020年1月15日至23日)显著下降。具体而言,除O浓度有所增加外,PM、PM、NO、SO和CO浓度分别下降了72.6μg·m(45.86%)、47.4μg·m(41.24%)、25.6μg·m(58.00%)、3.0μg·m(17.71%)和0.5mg·m(31.40%)。RAMS-CMAQ模拟表明,气象扩散对改善空气质量起着至关重要的作用。受气象因素影响,PM、PM、NO、SO和CO的排放量分别减少了26.04%、33.03%、28.35%、43.27%和23.29%。此外,由于隔离期内污染排放减少,PM、PM、NO、SO和CO的浓度分别降低了19.82%、8.21%、29.65%、-25.56%和8.12%。隔离期间O浓度增加了20.51%,这是由气象因素(10.47%)和人类活动(10.04%)共同导致的。这些结果表明,一次污染物对排放减少更为敏感;然而,二次污染物对排放减少表现出滞后响应,并且受气象因素影响显著。臭氧与排放减少之间的线性关系不显著,总体呈负相关。目前需要进一步研究排放减少对臭氧污染控制的影响。

相似文献

1
[Impact of Pollutant Emission Reduction on Air Quality During the COVID-19 Pandemic Control in Early 2020 Based on RAMS-CMAQ].基于RAMS-CMAQ的2020年初新冠疫情防控期间污染物减排对空气质量的影响
Huan Jing Ke Xue. 2021 Mar 8;42(3):1215-1227. doi: 10.13227/j.hjkx.202007246.
2
A global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions.一项旨在了解人为排放异常低的情况下空气质量变化的全球观测分析。
Environ Int. 2021 Dec;157:106818. doi: 10.1016/j.envint.2021.106818. Epub 2021 Aug 20.
3
[Simulation Analysis of the Impact of COVID-19 Pandemic Control on Air Quality in Henan Province based on Machine Learning Algorithm].基于机器学习算法的河南省新冠疫情防控对空气质量影响的模拟分析
Huan Jing Ke Xue. 2021 Sep 8;42(9):4126-4139. doi: 10.13227/j.hjkx.202012288.
4
How mobility restrictions policy and atmospheric conditions impacted air quality in the State of São Paulo during the COVID-19 outbreak.在 COVID-19 疫情期间,流动性限制政策和大气条件如何影响圣保罗州的空气质量。
Environ Res. 2021 Jul;198:111255. doi: 10.1016/j.envres.2021.111255. Epub 2021 May 8.
5
The impact of the congestion charging scheme on air quality in London. Part 1. Emissions modeling and analysis of air pollution measurements.拥堵收费计划对伦敦空气质量的影响。第1部分。排放建模与空气污染测量分析。
Res Rep Health Eff Inst. 2011 Apr(155):5-71.
6
[Analysis of Changes and Factors Influencing Air Pollutants in the Beijing-Tianjin-Hebei Region During the COVID-19 Pandemic].[新冠疫情期间京津冀地区空气污染物变化及影响因素分析]
Huan Jing Ke Xue. 2021 Mar 8;42(3):1205-1214. doi: 10.13227/j.hjkx.202007249.
7
[Response of Air Quality to COVID-19 Lockdown in Xiamen Bay].[厦门湾空气质量对新冠疫情封锁措施的响应]
Huan Jing Ke Xue. 2021 Oct 8;42(10):4650-4659. doi: 10.13227/j.hjkx.202103009.
8
[Impacts of Emission and Meteorological Conditions on Air Pollutants at Various Sites Around the COVID-19 Lockdown in Wuhan].[排放与气象条件对武汉新冠疫情封控期间各站点空气污染物的影响]
Huan Jing Ke Xue. 2023 Feb 8;44(2):670-679. doi: 10.13227/j.hjkx.202203269.
9
Implications for air quality management of changes in air quality during lockdown in Auckland (New Zealand) in response to the 2020 SARS-CoV-2 epidemic.2020 年 SARS-CoV-2 疫情期间奥克兰(新西兰)封城期间空气质量变化对空气质量管理的影响。
Sci Total Environ. 2020 Dec 1;746:141129. doi: 10.1016/j.scitotenv.2020.141129. Epub 2020 Jul 27.
10
Diurnal and temporal changes in air pollution during COVID-19 strict lockdown over different regions of India.新冠疫情严格封控期间印度不同地区空气污染的日变化和时变化。
Environ Pollut. 2020 Nov;266(Pt 3):115368. doi: 10.1016/j.envpol.2020.115368. Epub 2020 Aug 13.