Cargando…

Global, continental, and national variation in PM(2.5), O(3), and NO(2) concentrations during the early 2020 COVID-19 lockdown

Lockdowns implemented in response to COVID-19 have caused an unprecedented reduction in global economic and transport activity. In this study, variation in the concentration of health-threatening air pollutants (PM(2.5), NO(2), and O(3)) pre- and post-lockdown was investigated at global, continental...

Descripción completa

Detalles Bibliográficos
Autores principales:	He, Chao, Hong, Song, Zhang, Lu, Mu, Hang, Xin, Aixuan, Zhou, Yiqi, Liu, Jinke, Liu, Nanjian, Su, Yuming, Tian, Ya, Ke, Biqin, Wang, Yanwen, Yang, Lu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Turkish National Committee for Air Pollution Research and Control. Production and hosting by Elsevier B.V. 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867708/ https://www.ncbi.nlm.nih.gov/pubmed/33584105 http://dx.doi.org/10.1016/j.apr.2021.02.002

Ejemplares similares

Wildfire worsens population exposure to PM2.5 pollution in the Continental United States
por: Zhang, Danlu, et al.
Publicado: (2023)

Statistical Analysis of the Impact of COVID-19 on PM(2.5) Concentrations in Downtown Quito during the Lockdowns in 2020
por: Hernandez, Wilmar, et al.
Publicado: (2022)

Impact of the 2020 COVID-19 lockdown on NO(2) and PM(10) concentrations in Berlin, Germany
por: Schatke, Mona, et al.
Publicado: (2022)

Comparison of PM(2.5) and CO(2) Concentrations in Large Cities of China during the COVID-19 Lockdown
por: Liu, Chuwei, et al.
Publicado: (2022)

Artificial Neural Network Modeling on PM(10), PM(2.5), and NO(2) Concentrations between Two Megacities without a Lockdown in Korea, for the COVID-19 Pandemic Period of 2020
por: Choi, Soo-Min, et al.
Publicado: (2022)

PM(2.5) Concentration Exposure over the Belt and Road Region from 2000 to 2020
por: Li, Shenxin, et al.
Publicado: (2022)

PM(2.5) emissions, concentrations and air quality index during the COVID-19 lockdown()
por: Rojas, Néstor Y., et al.
Publicado: (2021)

Cause analysis of PM(2.5) pollution during the COVID-19 lockdown in Nanning, China
por: Mo, Zhaoyu, et al.
Publicado: (2021)

Impact of COVID-19 lockdown on NO(2), O(3), PM(2.5) and PM(10) concentrations and assessing air quality changes in Baghdad, Iraq
por: Hashim, Bassim Mohammed, et al.
Publicado: (2021)

Spatial Effects of Digital Transformation, PM(2.5) Exposure, Economic Growth and Technological Innovation Nexus: PM(2.5) Concentrations in China during 2010–2020
por: Ma, Fenfen, et al.
Publicado: (2023)

An application of probability density function for the analysis of PM2.5 concentration during the COVID-19 lockdown period
por: Mishra, Gaurav, et al.
Publicado: (2021)

Strict lockdown measures reduced PM(2.5) concentrations during the COVID-19 pandemic in Kolkata, India
por: Biswas, Tanmoy, et al.
Publicado: (2022)

Scientometric and multidimensional contents analysis of PM(2.5) concentration prediction
por: Gong, Jintao, et al.
Publicado: (2023)

Comparison of Geostatistical Interpolation and Remote Sensing Techniques for Estimating Long-Term Exposure to Ambient PM(2.5) Concentrations across the Continental United States
por: Lee, Seung-Jae, et al.
Publicado: (2012)

Publisher Correction: Cause analysis of PM(2.5) pollution during the COVID-19 lockdown in Nanning, China
por: Mo, Zhaoyu, et al.
Publicado: (2021)

Fusion of Environmental Sensing on PM(2.5) and Deep Learning on Vehicle Detecting for Acquiring Roadside PM(2.5) Concentration Increments
por: Wang, Wen-Cheng Vincent, et al.
Publicado: (2020)

Impact of Covid-19 partial lockdown on PM(2.5), SO(2), NO(2), O(3), and trace elements in PM(2.5) in Hanoi, Vietnam
por: Nguyen, Thi Phuong Mai, et al.
Publicado: (2021)

Reduction in concentration of PM(2.5) in India’s top most polluted cities: with special reference to post-lockdown period
por: Roy, Subham, et al.
Publicado: (2021)

Modelling the effect of local and regional emissions on PM(2.5) concentrations in Wuhan, China during the COVID-19 lockdown
por: BAI, Yong-Qing, et al.
Publicado: (2021)

The Environmental Story During the COVID-19 Lockdown: How Human Activities Affect PM2.5 Concentration in China?
Publicado: (2020)

Short-term effect of COVID-19 lockdowns on atmospheric CO(2), CH(4) and PM(2.5) concentrations in urban environment
por: Gulyaev, E., et al.
Publicado: (2022)

Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM(2.5) and O(3) in Wuhan, China()
por: Yin, Hao, et al.
Publicado: (2021)

Spatio-Temporal Heterogeneity of the Relationships Between PM(2.5) and Its Determinants: A Case Study of Chinese Cities in Winter of 2020
por: Yang, Lu, et al.
Publicado: (2022)

Personal exposure monitoring of PM(2.5) among US diplomats in Kathmandu during the COVID-19 lockdown, March to June 2020
por: Edwards, Leslie, et al.
Publicado: (2021)

An Ensemble Spatiotemporal Model for Predicting PM(2.5) Concentrations
por: Li, Lianfa, et al.
Publicado: (2017)

Impact of COVID-19 lockdown on NO(2) and PM(2.5) exposure inequalities in London, UK
por: Kazakos, Vasilis, et al.
Publicado: (2021)

Changes in air pollution due to COVID-19 lockdowns in 2020: Limited effect on NO(2), PM(2.5), and PM(10) annual means compared to the new WHO Air Quality Guidelines
por: do Nascimento, Cleonilde Maria, et al.
Publicado: (2022)

Impact of the COVID-19 lockdown on the chemical composition and sources of urban PM(2.5)
por: Jeong, Cheol-Heon, et al.
Publicado: (2022)

PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates
por: Al-Hemoud, Ali, et al.
Publicado: (2021)

Comparison of Ground-Based PM(2.5) and PM(10) Concentrations in China, India, and the U.S.
por: Yang, Xingchuan, et al.
Publicado: (2018)

Characterization and Cytotoxicity of PM(<0.2), PM(0.2–2.5) and PM(2.5–10) around MSWI in Shanghai, China
por: Cao, Lingling, et al.
Publicado: (2015)

A Novel Hybrid Method to Predict PM(2.5) Concentration Based on the SWT-QPSO-LSTM Hybrid Model
por: Du, Meng, et al.
Publicado: (2022)

PM(2.5) Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model
por: Zhang, Hang, et al.
Publicado: (2022)

Tracking Daily Concentrations of PM(2.5) Chemical Composition in China since 2000
por: Liu, Shigan, et al.
Publicado: (2022)

A new approach to evaluate regional inequity determined by PM(2.5) emissions and concentrations
por: Chuai, Xiaowei, et al.
Publicado: (2021)

The concentration-response relation between PM(2.5) and daily deaths.
por: Schwartz, Joel, et al.
Publicado: (2002)

Effects of Meteorological Conditions on PM(2.5) Concentrations in Nagasaki, Japan
por: Wang, Jianhua, et al.
Publicado: (2015)

Spatiotemporal Variations of Indoor PM(2.5) Concentrations in Nanjing, China
por: Shao, Zhijuan, et al.
Publicado: (2019)

Associations of long-term exposure to PM(1), PM(2.5), NO(2) with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations
por: Liu, Feifei, et al.
Publicado: (2019)

Variations and Source Apportionment of PM(2.5) and PM(10) Before and During COVID-19 Lockdown Phases in Delhi, India
por: Fatima, Sadaf, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_v8b2a87c2aquho5mlc0g0ebdis