• 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

亚太地区前 20 大都市城市 COVID-19 影响的环境空间异质性。

Environmental spatial heterogeneity of the impacts of COVID-19 on the top-20 metropolitan cities of Asia-Pacific.

机构信息

College of Management, Shenzhen University, Shenzhen, 518060, Guangdong, China.

Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong.

出版信息

Sci Rep. 2021 Oct 13;11(1):20339. doi: 10.1038/s41598-021-99546-9.

DOI:10.1038/s41598-021-99546-9
PMID:34645879
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8514535/
Abstract

This study investigated the environmental spatial heterogeneity of novel coronavirus (COVID-19) and spatial and temporal changes among the top-20 metropolitan cities of the Asia-Pacific. Remote sensing-based assessment is performed to analyze before and during the lockdown amid COVID-19 lockdown in the cities. Air pollution and mobility data of each city (Bangkok, Beijing, Busan, Dhaka, Delhi, Ho Chi Minh, Hong Kong, Karachi, Mumbai, Seoul, Shanghai, Singapore, Tokyo, Wuhan, and few others) have been collected and analyzed for 2019 and 2020. Results indicated that almost every city was impacted positively regarding environmental emissions and visible reduction were found in Aerosol Optical Depth (AOD), sulfur dioxide (SO), carbon monoxide (CO), and nitrogen dioxide (NO) concentrations before and during lockdown periods of 2020 as compared to those of 2019. The highest NO emission reduction (~ 50%) was recorded in Wuhan city during the lockdown of 2020. AOD was highest in Beijing and lowest in Colombo (< 10%). Overall, 90% movement was reduced till mid-April, 2020. A 98% reduction in mobility was recorded in Delhi, Seoul, and Wuhan. This analysis suggests that smart mobility and partial shutdown policies could be developed to reduce environmental pollutions in the region. Wuhan city is one of the benchmarks and can be replicated for the rest of the Asian cities wherever applicable.

摘要

本研究调查了新型冠状病毒(COVID-19)的环境空间异质性以及亚太地区前 20 大都市的时空变化。采用基于遥感的评估方法分析了这些城市在 COVID-19 封锁期间前后的情况。收集和分析了每个城市(曼谷、北京、釜山、达卡、德里、胡志明市、香港、卡拉奇、孟买、首尔、上海、新加坡、东京、武汉等)的空气污染和流动性数据,分别对 2019 年和 2020 年的数据进行了分析。结果表明,几乎所有城市的环境排放都受到了积极影响,与 2019 年相比,2020 年封锁期间的气溶胶光学深度(AOD)、二氧化硫(SO)、一氧化碳(CO)和二氧化氮(NO)浓度明显降低。在 2020 年的封锁期间,武汉的 NO 排放量降幅最大(约 50%)。北京的 AOD 最高,科伦坡的 AOD 最低(< 10%)。总体而言,2020 年 4 月中旬之前,移动减少了 90%。德里、首尔和武汉的移动减少了 98%。这项分析表明,智能移动和部分关闭政策的制定可以减少该地区的环境污染。武汉是一个基准城市,可以在适用于亚洲其他城市的情况下进行复制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/6efc25a4421e/41598_2021_99546_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/2906275d60e6/41598_2021_99546_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/62df1215e302/41598_2021_99546_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/f74f13d456dd/41598_2021_99546_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/350a14babdc8/41598_2021_99546_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/6efc25a4421e/41598_2021_99546_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/2906275d60e6/41598_2021_99546_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/62df1215e302/41598_2021_99546_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/f74f13d456dd/41598_2021_99546_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/350a14babdc8/41598_2021_99546_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b41/8514535/6efc25a4421e/41598_2021_99546_Fig5_HTML.jpg

相似文献

1
Environmental spatial heterogeneity of the impacts of COVID-19 on the top-20 metropolitan cities of Asia-Pacific.亚太地区前 20 大都市城市 COVID-19 影响的环境空间异质性。
Sci Rep. 2021 Oct 13;11(1):20339. doi: 10.1038/s41598-021-99546-9.
2
Part 5. Public health and air pollution in Asia (PAPA): a combined analysis of four studies of air pollution and mortality.第五部分. 亚洲的公共卫生与空气污染(PAPA):四项空气污染与死亡率研究的综合分析
Res Rep Health Eff Inst. 2010 Nov(154):377-418.
3
Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis.揭示 COVID-19 期间城市空气质量动态:Sentinel-5P TROPOMI 热点分析。
Sci Rep. 2024 Sep 16;14(1):21624. doi: 10.1038/s41598-024-72276-4.
4
COVID-19's impact on the atmospheric environment in the Southeast Asia region.COVID-19 对东南亚地区大气环境的影响。
Sci Total Environ. 2020 Sep 20;736:139658. doi: 10.1016/j.scitotenv.2020.139658. Epub 2020 May 25.
5
In-depth analysis of ambient air pollution changes due to the COVID-19 pandemic in the Asian Monsoon region.深入分析 COVID-19 疫情对亚洲季风区大气污染变化的影响。
Sci Total Environ. 2024 Sep 1;941:173145. doi: 10.1016/j.scitotenv.2024.173145. Epub 2024 May 18.
6
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.
7
Revisiting the levels of Aerosol Optical Depth in south-southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations.利用卫星观测,重新审视 COVID-19 大流行期间东南亚、欧洲和美国的气溶胶光学深度水平。
Environ Res. 2021 Feb;193:110514. doi: 10.1016/j.envres.2020.110514. Epub 2020 Nov 25.
8
Impact of Covid-19 lockdown on PM, SO and NO concentrations in Salé City (Morocco).新冠疫情封锁措施对摩洛哥萨莱市 PM、SO 和 NO 浓度的影响。
Sci Total Environ. 2020 Sep 15;735:139541. doi: 10.1016/j.scitotenv.2020.139541. Epub 2020 May 19.
9
Changes in temporal pattern and spatial distribution of environmental pollutants in 8 Asian countries owing to COVID-19 pandemic.由于 COVID-19 大流行,8 个亚洲国家的环境污染物在时间格局和空间分布上的变化。
Chemosphere. 2022 Dec;308(Pt 1):136075. doi: 10.1016/j.chemosphere.2022.136075. Epub 2022 Aug 22.
10
Ambient air pollution, meteorology, and COVID-19 infection in Korea.韩国的大气污染、气象与 COVID-19 感染。
J Med Virol. 2021 Feb;93(2):878-885. doi: 10.1002/jmv.26325. Epub 2020 Jul 27.

引用本文的文献

1
Influencing Factors and Realization Path of Power Decarbonization-Based on Panel Data Analysis of 30 Provinces in China from 2011 to 2019.基于 2011 年至 2019 年中国 30 个省份面板数据的电力脱碳影响因素及实现路径分析。
Int J Environ Res Public Health. 2022 Nov 29;19(23):15930. doi: 10.3390/ijerph192315930.
2
Financial Institutional and Market Deepening, and Environmental Quality Nexus: A Case Study in G-11 Economies Using CS-ARDL.金融机构与市场深化,以及环境质量的关系:基于 CS-ARDL 的 G-11 经济体案例研究。
Int J Environ Res Public Health. 2022 Sep 22;19(19):11984. doi: 10.3390/ijerph191911984.
3
Time series cross-correlation between home range and number of infected people during the COVID-19 pandemic in a suburban city.

本文引用的文献

1
The impact of COVID-19 on air pollution: Evidence from global data.新冠疫情对空气污染的影响:来自全球数据的证据
J Clean Prod. 2021 May 20;298:126755. doi: 10.1016/j.jclepro.2021.126755. Epub 2021 Mar 18.
2
Knowledge, awareness and practices of Pakistani professionals amid-COVID-19 outbreak.巴基斯坦专业人士在 COVID-19 疫情期间的知识、意识和实践。
Sci Rep. 2021 Sep 2;11(1):17543. doi: 10.1038/s41598-021-96705-w.
3
The impact of COVID-19 lockdowns on surface urban heat island changes and air-quality improvements across 21 major cities in the Middle East.
城市郊区间歇性冠状病毒病大流行期间,疫区与受感染者数量的时间序列交叉关联。
PLoS One. 2022 Sep 1;17(9):e0267335. doi: 10.1371/journal.pone.0267335. eCollection 2022.
4
Exploring channels and gaps in information dissemination and acquisition among energy scientists and the public: The southeast Asian context.探索能源科学家和公众之间信息传播和获取的渠道和差距:以东南亚为例。
PLoS One. 2022 Aug 29;17(8):e0273626. doi: 10.1371/journal.pone.0273626. eCollection 2022.
5
Changes in temporal pattern and spatial distribution of environmental pollutants in 8 Asian countries owing to COVID-19 pandemic.由于 COVID-19 大流行,8 个亚洲国家的环境污染物在时间格局和空间分布上的变化。
Chemosphere. 2022 Dec;308(Pt 1):136075. doi: 10.1016/j.chemosphere.2022.136075. Epub 2022 Aug 22.
6
A spatiotemporal analysis of NO concentrations during the Italian 2020 COVID-19 lockdown.2020年意大利新冠疫情封锁期间一氧化氮浓度的时空分析
Environmetrics. 2022 Jun;33(4):e2723. doi: 10.1002/env.2723. Epub 2022 Mar 12.
7
Characterizing Brand Knowledge and Identification as Predictors of Consumer-Based Brand Equity: Mediating Role of Employee-Based Brand Equity.将品牌知识和品牌识别作为基于消费者的品牌资产预测指标进行特征分析:基于员工的品牌资产的中介作用。
Front Psychol. 2022 Apr 27;13:858619. doi: 10.3389/fpsyg.2022.858619. eCollection 2022.
8
Role of Knowledge Management on the Sustainable Environment: Assessing the Moderating Effect of Innovative Culture.知识管理在可持续环境中的作用:评估创新文化的调节作用。
Front Psychol. 2022 Apr 7;13:861813. doi: 10.3389/fpsyg.2022.861813. eCollection 2022.
9
Satisfaction with the walking-related environment during COVID-19 in South Korea.在新冠疫情期间,韩国人对步行相关环境的满意度。
PLoS One. 2022 Apr 20;17(4):e0266183. doi: 10.1371/journal.pone.0266183. eCollection 2022.
10
Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown.巴基斯坦封城期间空气污染浓度与能源生产动态的关联。
Environ Sci Pollut Res Int. 2022 May;29(23):35036-35047. doi: 10.1007/s11356-021-18071-4. Epub 2022 Jan 19.
新冠疫情封锁措施对中东 21 个主要城市地表城市热岛变化和空气质量改善的影响。
Environ Pollut. 2021 Nov 1;288:117802. doi: 10.1016/j.envpol.2021.117802. Epub 2021 Jul 16.
4
Climate and the spread of COVID-19.气候与 COVID-19 的传播。
Sci Rep. 2021 Apr 27;11(1):9042. doi: 10.1038/s41598-021-87692-z.
5
The impact of the COVID-19 outbreak on the air quality in China: Evidence from a quasi-natural experiment.新冠疫情爆发对中国空气质量的影响:来自一项准自然实验的证据。
J Clean Prod. 2021 May 10;296:126475. doi: 10.1016/j.jclepro.2021.126475. Epub 2021 Feb 23.
6
A global association between Covid-19 cases and airborne particulate matter at regional level.新冠病毒病例与区域水平气载颗粒物之间的全球关联。
Sci Rep. 2021 Mar 18;11(1):6256. doi: 10.1038/s41598-021-85751-z.
7
The impact of environmental variables on the spread of COVID-19 in the Republic of Korea.环境变量对韩国 COVID-19 传播的影响。
Sci Rep. 2021 Mar 16;11(1):5977. doi: 10.1038/s41598-021-85493-y.
8
Changes in air quality during COVID-19 'lockdown' in the United Kingdom.英国 COVID-19“封城”期间空气质量的变化。
Environ Pollut. 2021 Mar 1;272:116011. doi: 10.1016/j.envpol.2020.116011. Epub 2020 Nov 20.
9
How air quality and COVID-19 transmission change under different lockdown scenarios? A case from Dhaka city, Bangladesh.不同封锁情景下空气质量和 COVID-19 传播如何变化?来自孟加拉国达卡市的案例。
Sci Total Environ. 2021 Mar 25;762:143161. doi: 10.1016/j.scitotenv.2020.143161. Epub 2020 Oct 21.
10
Global prediction system for COVID-19 pandemic.新型冠状病毒肺炎大流行的全球预测系统。
Sci Bull (Beijing). 2020 Nov 30;65(22):1884-1887. doi: 10.1016/j.scib.2020.08.002. Epub 2020 Aug 2.