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Four-Month Changes in Air Quality during and after the COVID-19 Lockdown in Six Megacities in China

https://doi.org/10.1021/acs.estlett.0c00605
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak
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Aggravating O3 pollution due to NOx emission control in eastern China
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Impact of city lockdown on the air quality of COVID-19-hit of Wuhan city
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COVID-19 control in China during mass population movements at New Year
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Quantifying Nonlinear Multiregional Contributions to Ozone and Fine Particles Using an Updated Response Surface Modeling Technique
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Strong Temperature Dependence for Light-Duty Diesel Vehicle NO x Emissions
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Substantial Changes in Nitrogen Dioxide and Ozone after Excluding Meteorological Impacts during the COVID-19 Outbreak in Mainland China
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Impact of Coronavirus Outbreak on NO 2 Pollution Assessed Using TROPOMI and OMI Observations
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The Response in Air Quality to the Reduction of Chinese Economic Activities During the COVID‐19 Outbreak
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Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China
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An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China
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Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China
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Nonlinear response of ozone to precursor emission changes in China: a modeling study using response surface methodology
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Random forest meteorological normalisation models for Swiss PM 10 trend analysis
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High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets

What points at this work

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inferred← citeshttps://doi.org/10.21203/rs.3.rs-4884134/v1openalex-snapshot
Comparison of air pollution before, during, and after restrictions on the activities of residents to prevent the transmission of COVID-19 in Jakarta, Indonesia
inferred← citeshttps://doi.org/10.21203/rs.3.rs-795086/v1openalex-snapshot
How to respond effectively to COVID-19? Reports based on environmental changes in Wuhan and Shanghai
inferred← citeshttps://doi.org/10.31893/multirev.2026094openalex-snapshot
The effect of COVID-19 lockdowns on the air quality in major cities across the world: A review
inferred← citeshttps://doi.org/10.3233/faia210095openalex-snapshot
Assessing the Lockdown Effects on Air Quality During COVID-19 Era
inferred← citeshttps://doi.org/10.3389/fclim.2021.799054openalex-snapshot
Investigating Rainfall Patterns in the Hubei Province, China and Northern Italy During the Covid-19 Lockdowns
inferred← citeshttps://doi.org/10.3389/feart.2022.1011536openalex-snapshot
Monitoring the impact of the COVID-19 lockdown on air quality in Lanzhou: Implications for future control strategies
inferred← citeshttps://doi.org/10.3389/fenrg.2021.707867openalex-snapshot
Synthetic Fuels in a Transport Transition: Fuels to Prevent a Transport Underclass
inferred← citeshttps://doi.org/10.3389/fenvs.2021.761557openalex-snapshot
Satellite-Based Analysis of Spatial–Temporal Distributions of NH3 and Factors of Influence in North China
inferred← citeshttps://doi.org/10.3389/fenvs.2022.947705openalex-snapshot
Seasonal variation, sources, and risk assessment of PM2.5-bound PAHs in Nantong, China: A pre- and post-COVID-19 case study
inferred← citeshttps://doi.org/10.3389/fpubh.2022.810098openalex-snapshot
Spatio-Temporal Heterogeneity of the Relationships Between PM2.5 and Its Determinants: A Case Study of Chinese Cities in Winter of 2020
inferred← citeshttps://doi.org/10.3390/air2010003openalex-snapshot
Application of Machine Learning to Estimate Ammonia Atmospheric Emissions and Concentrations
inferred← citeshttps://doi.org/10.3390/atmos12020184openalex-snapshot
Distinct Regimes of O3 Response to COVID-19 Lockdown in China
inferred← citeshttps://doi.org/10.3390/atmos12091137openalex-snapshot
Differential Effects of the COVID-19 Lockdown and Regional Fire on the Air Quality of Medellín, Colombia
inferred← citeshttps://doi.org/10.3390/atmos14081211openalex-snapshot
Chinese Provincial Air Pollutant Concentration Prediction over the Long Term
inferred← citeshttps://doi.org/10.3390/atmos14121806openalex-snapshot
Ambient Ozone and Fine Particular Matter Pollution in a Megacity in South China: Trends, Concurrent Pollution, and Health Risk Assessment
inferred← citeshttps://doi.org/10.3390/atmos15030382openalex-snapshot
Characteristics and Formation Mechanism of Ozone Pollution in Demonstration Zone of the Yangtze River Delta, China
inferred← citeshttps://doi.org/10.3390/atmos16020171openalex-snapshot
Exploring the Holiday Effect on Elevated Traffic-Related Air Pollution with Hyperlocal Measurements in Chengdu, China
inferred← citeshttps://doi.org/10.3390/atmos16050487openalex-snapshot
Urban Air Pollution in the Global South: A Never-Ending Crisis?
inferred← citeshttps://doi.org/10.3390/atmos17050477openalex-snapshot
VOC Characteristics, Sources, and O3 Precursor Sensitivity During Severe Summer Photochemical Pollution in a Central China Megacity
inferred← citeshttps://doi.org/10.3390/encyclopedia1030043openalex-snapshot
Air Quality during Covid-19 Lockdown
inferred← citeshttps://doi.org/10.3390/ijerph17239055openalex-snapshot
Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State
inferred← citeshttps://doi.org/10.3390/ijerph18073528openalex-snapshot
The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia
inferred← citeshttps://doi.org/10.3390/ijerph192114235openalex-snapshot
The Long-Term Impact of COVID-19 Lockdowns in Istanbul
inferred← citeshttps://doi.org/10.3390/ijgi10120836openalex-snapshot
Analyzing the Contribution of Human Mobility to Changes in Air Pollutants: Insights from the COVID-19 Lockdown in Wuhan
inferred← citeshttps://doi.org/10.3390/pr11010296openalex-snapshot
The Impact of Coronavirus Disease of 2019 (COVID-19) Lockdown Restrictions on the Criteria Pollutants
inferred← citeshttps://doi.org/10.3390/rs14020419openalex-snapshot
Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements
inferred← citeshttps://doi.org/10.3390/rs14051285openalex-snapshot
Satellite-Based Diagnosis and Numerical Verification of Ozone Formation Regimes over Nine Megacities in East Asia
inferred← citeshttps://doi.org/10.3390/rs14246344openalex-snapshot
Ozone Pollution of Megacity Shanghai during City-Wide Lockdown Assessed Using TROPOMI Observations of NO2 and HCHO
inferred← citeshttps://doi.org/10.3390/su141811531openalex-snapshot
Air Quality Changes during the COVID-19 Lockdown in an Industrial City in North China: Post-Pandemic Proposals for Air Quality Improvement
inferred← citeshttps://doi.org/10.3390/su16114610openalex-snapshot
Developing a Practical Framework for Applying the Work from Home Concept to Technical Jobs in Electricity Utilities Using the Unified Theory of Acceptance and Use of Technology
inferred← citeshttps://doi.org/10.3390/su16145969openalex-snapshot
The Impact of City Anti-Contagion Policies (CAPs) on Air Quality Evidence from a Natural Experiment in China
inferred← citeshttps://doi.org/10.3390/toxics11060481openalex-snapshot
Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China
inferred← citeshttps://doi.org/10.3390/toxics12080580openalex-snapshot
Impact of COVID-19 Lockdown on NO2 Pollution and the Associated Health Burden in China: A Comparison of Different Approaches
inferred← citeshttps://doi.org/10.35940/ijeat.e3590.0611522openalex-snapshot
Impact of Pandemic COVID19 on Air and Water Quality in India: A Systematic Review
inferred← citeshttps://doi.org/10.3846/jeelm.2023.19472openalex-snapshot
IMPACT OF THE COVID-19 LOCKDOWN ON AIR POLLUTION IN AN INDUSTRIAL CITY IN NORTHEASTERN CHINA
inferred← citeshttps://doi.org/10.4209/aaqr.200472openalex-snapshot
Impact of COVID-19 Pandemic on Air Pollution in Poland Based on Surface Measurements and Satellite Data
inferred← citeshttps://doi.org/10.4209/aaqr.200541openalex-snapshot
A Brief Review on Changes in Air Pollution Scenario over South Asia during COVID-19 Lockdown
inferred← citeshttps://doi.org/10.5194/acp-2022-283-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/acp-2022-283-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/acp-2022-283-rc1openalex-snapshot
Comment on acp-2022-283
inferred← citeshttps://doi.org/10.5194/acp-2022-283-rc2openalex-snapshot
Comment on acp-2022-283
inferred← citeshttps://doi.org/10.5194/acp-2022-502-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/acp-2022-502-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/acp-2022-502-rc1openalex-snapshot
Comment on acp-2022-502
inferred← citeshttps://doi.org/10.5194/acp-2022-502-rc2openalex-snapshot
Comment on acp-2022-502
inferred← citeshttps://doi.org/10.5194/acp-2022-9-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/acp-2022-9-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/acp-21-4169-2021openalex-snapshot
COVID-19 lockdowns highlight a risk of increasing ozone pollution in European urban areas
inferred← citeshttps://doi.org/10.5194/acp-22-12153-2022openalex-snapshot
Chemical characteristics and sources of PM 2.5 in Hohhot, a semi-arid city in northern China: insight from the COVID-19 lockdown
inferred← citeshttps://doi.org/10.5194/acp-22-13371-2022openalex-snapshot
Rapid reappearance of air pollution after cold air outbreaks in northern and eastern China
inferred← citeshttps://doi.org/10.5194/acp-22-16073-2022openalex-snapshot
Decoupling impacts of weather conditions on interannual variations in concentrations of criteria air pollutants in South China – constraining analysis uncertainties by using multiple analysis tools
inferred← citeshttps://doi.org/10.5194/acp-23-10313-2023openalex-snapshot
Reduction in vehicular emissions attributable to the Covid-19 lockdown in Shanghai: insights from 5 years of monitoring-based machine learning
inferred← citeshttps://doi.org/10.5194/acp-24-7773-2024openalex-snapshot
Identifying decadal trends in deweathered concentrations of criteria air pollutants in Canadian urban atmospheres with machine learning approaches
inferred← citeshttps://doi.org/10.5194/acp-24-8569-2024openalex-snapshot
Concentration and source changes of nitrous acid (HONO) during the COVID-19 lockdown in Beijing
inferred← citeshttps://doi.org/10.5194/amt-14-6233-2021openalex-snapshot
Tropospheric and stratospheric NO retrieved from ground-based Fourier-transform infrared (FTIR) measurements
inferred← citeshttps://doi.org/10.5194/amt-15-1511-2022openalex-snapshot
Ozone formation sensitivity study using machine learning coupled with the reactivity of volatile organic compound species
inferred← citeshttps://doi.org/10.5194/amt-2021-119-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/amt-2021-367-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/amt-2021-367-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/amt-2021-367-rc1openalex-snapshot
Comment on amt-2021-367
inferred← citeshttps://doi.org/10.5194/amt-2021-367-rc2openalex-snapshot
Comment on amt-2021-367
inferred← citeshttps://doi.org/10.5194/egusphere-2023-204-ac1openalex-snapshot
Comment on egusphere-2023-204
inferred← citeshttps://doi.org/10.5194/egusphere-2023-204-rc2openalex-snapshot
Comment on egusphere-2023-204
inferred← citeshttps://doi.org/10.5194/egusphere-2023-2968-ac1openalex-snapshot
Supplementary Information to egusphere-2023-2968
inferred← citeshttps://doi.org/10.5194/egusphere-2023-2968-ac2openalex-snapshot
Response to Referee #1
inferred← citeshttps://doi.org/10.5194/egusphere-2023-2968-ac3openalex-snapshot
Response to Referee #2
inferred← citeshttps://doi.org/10.5194/egusphere-2023-2968-rc1openalex-snapshot
Comment on egusphere-2023-2968
inferred← citeshttps://doi.org/10.5194/egusphere-2023-2968-rc2openalex-snapshot
Comment on egusphere-2023-2968
inferred← citeshttps://doi.org/10.5194/egusphere-2023-3139-ac1openalex-snapshot
Reply to reviewer 1
inferred← citeshttps://doi.org/10.5194/egusphere-2023-3139-ac2openalex-snapshot
Reply to reviewer 2
inferred← citeshttps://doi.org/10.5194/egusphere-2023-3139-rc1openalex-snapshot
Comment on egusphere-2023-3139
inferred← citeshttps://doi.org/10.5194/egusphere-2023-3139-rc2openalex-snapshot
Comment on egusphere-2023-3139
inferred← citeshttps://doi.org/10.62810/jnsr.v3i3.238openalex-snapshot
The COVID-19 lockdown impact on air quality: A Case Study of Two Districts in Kabul City, Afghanistan
inferred← citeshttps://doi.org/10.7307/ptt.v34i5.4143openalex-snapshot
How the Volume of Traffic Affected Air Quality During the Extreme Event of COVID-19 Lockdown in a Small City
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.