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Highly Resolved Dynamic Emissions of Air Pollutants and Greenhouse Gas CO2 during COVID-19 Pandemic in East China

https://doi.org/10.1021/acs.estlett.1c00600
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What this work says

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

inferredcites →https://doi.org/10.1016/j.atmosenv.2017.08.054openalex-snapshot
Distinguishing the roles of meteorology, emission control measures, regional transport, and co-benefits of reduced aerosol feedbacks in “APEC Blue”
inferredcites →https://doi.org/10.1016/j.envpol.2020.114280openalex-snapshot
On-road emission measurements of reactive nitrogen compounds from heavy-duty diesel trucks in China
inferredcites →https://doi.org/10.1016/j.resconrec.2020.104814openalex-snapshot
Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.01.262openalex-snapshot
Air pollution reduction in China: Recent success but great challenge for the future
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.142238openalex-snapshot
Substantial nitrogen oxides emission reduction from China due to COVID-19 and its impact on surface ozone and aerosol pollution
inferredcites →https://doi.org/10.1016/s0140-6736(20)30421-9openalex-snapshot
COVID-19 control in China during mass population movements at New Year
inferredcites →https://doi.org/10.1021/acs.est.0c04941openalex-snapshot
Source–Receptor Relationship Revealed by the Halted Traffic and Aggravated Haze in Beijing during the COVID-19 Lockdown
inferredcites →https://doi.org/10.1021/acs.estlett.0c00304openalex-snapshot
Substantial Changes in Nitrogen Dioxide and Ozone after Excluding Meteorological Impacts during the COVID-19 Outbreak in Mainland China
inferredcites →https://doi.org/10.1021/acs.estlett.0c00511openalex-snapshot
Driving Forces of Changes in Air Quality during the COVID-19 Lockdown Period in the Yangtze River Delta Region, China
inferredcites →https://doi.org/10.1021/es9028167openalex-snapshot
Quantifying the Air Pollutants Emission Reduction during the 2008 Olympic Games in Beijing
inferredcites →https://doi.org/10.1029/2020gl087978openalex-snapshot
Impact of Coronavirus Outbreak on NO 2 Pollution Assessed Using TROPOMI and OMI Observations
inferredcites →https://doi.org/10.1029/2020gl090080openalex-snapshot
NOx Emission Changes Over China During the COVID‐19 Epidemic Inferred From Surface NO2 Observations
inferredcites →https://doi.org/10.1038/s41467-020-20254-5openalex-snapshot
Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic
inferredcites →https://doi.org/10.1038/s41558-020-0797-xopenalex-snapshot
Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement
inferredcites →https://doi.org/10.1038/s41560-019-0468-1openalex-snapshot
Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards
inferredcites →https://doi.org/10.1038/s41561-018-0161-1openalex-snapshot
Structural decline in China’s CO2 emissions through transitions in industry and energy systems
inferredcites →https://doi.org/10.1038/s41561-019-0464-xopenalex-snapshot
A two-pollutant strategy for improving ozone and particulate air quality in China
inferredcites →https://doi.org/10.1038/s41893-019-0398-8openalex-snapshot
Air quality and health benefits from fleet electrification in China
inferredcites →https://doi.org/10.1073/pnas.1812168116openalex-snapshot
Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China
inferredcites →https://doi.org/10.1073/pnas.1900125116openalex-snapshot
Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes
inferredcites →https://doi.org/10.1073/pnas.2013297117openalex-snapshot
The quest for improved air quality may push China to continue its CO 2 reduction beyond the Paris Commitment
inferredcites →https://doi.org/10.1093/nsr/nwaa137openalex-snapshot
Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China
inferredcites →https://doi.org/10.1093/nsr/nwab078openalex-snapshot
Pathways of China's PM2.5 air quality 2015–2060 in the context of carbon neutrality
inferredcites →https://doi.org/10.1126/sciadv.aaq0390openalex-snapshot
City-level climate change mitigation in China
inferredcites →https://doi.org/10.1126/sciadv.abd4998openalex-snapshot
Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic
inferredcites →https://doi.org/10.1126/science.abb7431openalex-snapshot
Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China
inferredcites →https://doi.org/10.3390/atmos11040433openalex-snapshot
NOx Emission Reduction and Recovery during COVID-19 in East China
inferredcites →https://doi.org/10.3390/rs71115224openalex-snapshot
Analysis of the 2014 “APEC Blue” in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures
inferredcites →https://doi.org/10.48550/arxiv.2004.08442openalex-snapshot
Spring Festival points the way to cleaner air in China
inferredcites →https://doi.org/10.5194/acp-18-14095-2018openalex-snapshot
Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions
inferredcites →https://doi.org/10.5194/acp-19-13627-2019openalex-snapshot
Development and application of observable response indicators for design of an effective ozone and fine-particle pollution control strategy in China
inferredcites →https://doi.org/10.5194/acp-20-14347-2020openalex-snapshot
Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: a response modeling study
inferredcites →https://doi.org/10.5194/acp-20-5963-2020openalex-snapshot
Spatial–temporal variations and process analysis of O 3 pollution in Hangzhou during the G20 summit
inferredcites →https://doi.org/10.5194/acp-21-2003-2021openalex-snapshot
Emission inventory of air pollutants and chemical speciation for specific anthropogenic sources based on local measurements in the Yangtze River Delta region, China

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3978864openalex-extracted
Anthropogenic CO 2 Emission Reduction During the COVID-19 Pandemic: Evidence from Three Years of Urban Atmospheric Observations in Eastern China
inferred← citeshttps://doi.org/10.1007/s11356-023-25778-zopenalex-snapshot
Evaluation of heavy metal pollution with uneven spatial sampling distribution based on Voronoi area density
inferred← citeshttps://doi.org/10.1007/s43621-025-02402-3openalex-snapshot
Assessing the spatiotemporal patterns and drivers of pollutant-carbon reduction synergistic efficiency in the Yangtze River Delta region
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2022.119308openalex-snapshot
Hourly organic tracers-based source apportionment of PM2.5 before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2023.120112openalex-snapshot
Influence of ship emissions on PM2.5 in Shanghai: From COVID19 to OMICRON22 lockdown episodes
inferred← citeshttps://doi.org/10.1016/j.atmosres.2022.106035openalex-snapshot
The transition from a nitrogen oxides-limited regime to a volatile organic compounds-limited regime in the petrochemical industrialized Lanzhou City, China
inferred← citeshttps://doi.org/10.1016/j.envpol.2022.119767openalex-snapshot
Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China
inferred← citeshttps://doi.org/10.1016/j.envres.2025.121748openalex-snapshot
Spatiotemporal evolutions and drivers of ground-level ozone in China (2015–2020): A GTWR-Kriging approach
inferred← citeshttps://doi.org/10.1016/j.envsoft.2023.105745openalex-snapshot
Dynamic nowcast of the New Zealand greenhouse gas inventory
inferred← citeshttps://doi.org/10.1016/j.jenvman.2026.128941openalex-snapshot
County-level emission inventory reveals substantial contributions of small and medium-sized cities to air pollutants and CO2 emissions in China
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2025.137308openalex-snapshot
Spatiotemporal estimates of anthropogenic NOx emissions across China during 2015–2022 using a deep learning model
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.167521openalex-snapshot
Impact of spatial scales of control measures on the effectiveness of ozone pollution mitigation in eastern China
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2025.178884openalex-snapshot
Observed CO2 concentration reveals steep decrease of anthropogenic emissions in winters of 2021 and 2022 in Hangzhou and Yangtze River Delta region, China
inferred← citeshttps://doi.org/10.1021/acs.est.2c09386openalex-snapshot
Direct Observation of HONO Emissions from Real-World Residential Natural Gas Heating in China
inferred← citeshttps://doi.org/10.1021/acs.estlett.5c00065openalex-snapshot
High Spatiotemporal Resolution Inventory Finely Depicts the Rebound Characteristics of Greenhouse Gas Emissions from Vehicles in Beijing after the COVID-19 Epidemic
inferred← citeshttps://doi.org/10.1029/2023jd038512openalex-snapshot
Quantifying the Impact of COVID‐19 Pandemic on the Spatiotemporal Changes of CO 2 Concentrations in the Yangtze River Delta, China
inferred← citeshttps://doi.org/10.1029/2023jd039496openalex-snapshot
Different Response Mechanisms of N‐Bearing Components to Emission Reduction Across China During COVID‐19 Lockdown Period
inferred← citeshttps://doi.org/10.1038/s41612-025-00991-4openalex-snapshot
Notable uncertainties in near real-time CO2 emission estimates in China
inferred← citeshttps://doi.org/10.21203/rs.3.rs-7970628/v1openalex-snapshot
A daily emission inventory based on multi-source data and its impact on air quality simulations over Jiangsu province
inferred← citeshttps://doi.org/10.29157/etusbed.1436615openalex-snapshot
Çevre Vergileri, Hava Taşımacılığı ve CO2 Emisyonları İlişkisi: Avrupa Ülkeleri Üzerine Bir Çalışma
inferred← citeshttps://doi.org/10.3389/fenvs.2022.836191openalex-snapshot
Increasing but Variable Trend of Surface Ozone in the Yangtze River Delta Region of China
inferred← citeshttps://doi.org/10.3390/rs17061087openalex-snapshot
Spatial Distribution of Urban Anthropogenic Carbon Emissions Revealed from the OCO-3 Snapshot XCO2 Observations: A Case Study of Shanghai
inferred← citeshttps://doi.org/10.3390/rs18091410openalex-snapshot
Detecting the Response of Column Carbon Dioxide Concentration to Anthropogenic Emissions Using the OCO Series Satellites
inferred← citeshttps://doi.org/10.3390/su16219338openalex-snapshot
The Synergy Between CO2 and Air Pollution Emissions in Chinese Cities by 2060: An Assessment Based on the Emissions Inventory and Dynamic Projection Model
inferred← citeshttps://doi.org/10.5194/acp-26-8913-2026openalex-snapshot
Technical note: Rapid assessment of drivers and air quality effects of regional daily changes in air pollutant emissions based on near-real-time techniques
inferred← citeshttps://doi.org/10.5194/essd-15-2279-2023openalex-snapshot
Emission trends of air pollutants and CO 2 in China from 2005 to 2021
inferred← citeshttps://doi.org/10.5194/essd-2022-464-ac1openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/essd-2022-464-ac2openalex-snapshot
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inferred← citeshttps://doi.org/10.5194/essd-2022-464-ac3openalex-snapshot
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inferred← citeshttps://doi.org/10.5194/essd-2022-464-rc1openalex-snapshot
Comment on essd-2022-464
inferred← citeshttps://doi.org/10.5194/essd-2022-464-rc2openalex-snapshot
Comment on essd-2022-464
inferred← citeshttps://doi.org/10.5194/essd-2022-464-rc3openalex-snapshot
Comment on essd-2022-464
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.