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A paradox for air pollution controlling in China revealed by “APEC Blue” and “Parade Blue”
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2014jd022301openalex-snapshot
Pathways of sulfate enhancement by natural and anthropogenic mineral aerosols in China
inferredcites →https://doi.org/10.1007/s11356-016-6518-3openalex-snapshot
Spatial and temporal characteristics of air quality and air pollutants in 2013 in Beijing
inferredcites →https://doi.org/10.1016/0004-6981(89)90409-5openalex-snapshot
A study of the sources of acid precipitation in Ontario, Canada
inferredcites →https://doi.org/10.1016/j.atmosenv.2007.01.053openalex-snapshot
Analysis of long-range transport influences on urban PM10 using two-stage atmospheric trajectory clusters
inferredcites →https://doi.org/10.1016/j.atmosenv.2009.08.005openalex-snapshot
Long-range potential source contributions of episodic aerosol events to PM10 profile of a megacity
inferredcites →https://doi.org/10.1016/j.atmosenv.2010.03.010openalex-snapshot
Application of OMI observations to a space-based indicator of NOx and VOC controls on surface ozone formation
inferredcites →https://doi.org/10.1016/j.atmosenv.2011.01.025openalex-snapshot
Modeling study on the air quality impacts from emission reductions and atypical meteorological conditions during the 2008 Beijing Olympics
inferredcites →https://doi.org/10.1016/j.atmosenv.2011.03.015openalex-snapshot
The unique OMI HCHO/NO2 feature during the 2008 Beijing Olympics: Implications for ozone production sensitivity
inferredcites →https://doi.org/10.1016/j.atmosenv.2014.07.029openalex-snapshot
Indicators reflecting local and transboundary sources of PM 2.5 and PM COARSE in Rome – Impacts in air quality
inferredcites →https://doi.org/10.1016/j.atmosenv.2014.08.079openalex-snapshot
Weekly cycle of magnetic characteristics of the daily PM2.5 and PM2.5–10 in Beijing, China
inferredcites →https://doi.org/10.1016/j.atmosenv.2015.08.041openalex-snapshot
Observations of tropospheric NO 2 using ground based MAX-DOAS and OMI measurements during the Shanghai World Expo 2010
inferredcites →https://doi.org/10.1016/j.atmosres.2012.10.012openalex-snapshot
Comparison of transport pathways and potential sources of PM10 in two cities around a large Chinese lake using the modified trajectory analysis
inferredcites →https://doi.org/10.1016/j.atmosres.2015.04.018openalex-snapshot
The “APEC Blue” phenomenon: Regional emission control effects observed from space
inferredcites →https://doi.org/10.1016/j.atmosres.2016.01.002openalex-snapshot
Combining AOT, Angstrom Exponent and PM concentration data, with PSCF model, to distinguish fine and coarse aerosol intrusions in Southern France
inferredcites →https://doi.org/10.1016/j.envsoft.2009.01.004openalex-snapshot
TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data
inferredcites →https://doi.org/10.1016/s1352-2310(02)00104-8openalex-snapshot
Observations of BrO and its vertical distribution during surface ozone depletion at Alert
inferredcites →https://doi.org/10.1016/s1352-2310(02)00886-5openalex-snapshot
Comparison of hybrid receptor models to locate PCB sources in Chicago
inferredcites →https://doi.org/10.1021/es0107529openalex-snapshot
Source Regions for Atmospheric Aerosol Measured at Barrow, Alaska
inferredcites →https://doi.org/10.1021/es025531xopenalex-snapshot
Locating and Quantifying PCB Sources in Chicago: Receptor Modeling and Field Sampling
inferredcites →https://doi.org/10.1021/es8027764openalex-snapshot
East China Plains: A “Basin” of Ozone Pollution
inferredcites →https://doi.org/10.1021/es9007504openalex-snapshot
Atmospheric Particulate Matter Pollution during the 2008 Beijing Olympics
inferredcites →https://doi.org/10.1021/es902531wopenalex-snapshot
Response to Comments on “Atmospheric Particulate Matter Pollution during the 2008 Beijing Olympics”
inferredcites →https://doi.org/10.1029/1999jd900876openalex-snapshot
A new lumped structure photochemical mechanism for large‐scale applications
inferredcites →https://doi.org/10.1029/2000jd900463openalex-snapshot
Global Modeling Initiative assessment model: Model description, integration, and testing of the transport shell
inferredcites →https://doi.org/10.1029/2002gl015311openalex-snapshot
A generalized approach to parameterizing convection combining ensemble and data assimilation techniques
inferredcites →https://doi.org/10.1029/2002jd003296openalex-snapshot
Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model
inferredcites →https://doi.org/10.1029/2003jd003453openalex-snapshot
Global inventory of nitrogen oxide emissions constrained by space‐based observations of NO 2 columns
inferredcites →https://doi.org/10.1029/2005jd006618openalex-snapshot
MAX‐DOAS O 4 measurements: A new technique to derive information on atmospheric aerosols: 2. Modeling studies
inferredcites →https://doi.org/10.1029/2007jd008782openalex-snapshot
Model for Simulating Aerosol Interactions and Chemistry (MOSAIC)
inferredcites →https://doi.org/10.1029/2007jd009168openalex-snapshot
Comparison of OMI and ground‐based in situ and MAX‐DOAS measurements of tropospheric nitrogen dioxide in an urban area
inferredcites →https://doi.org/10.1029/2007jd009216openalex-snapshot
Assessment of three dynamical climate downscaling methods using the Weather Research and Forecasting (WRF) model
inferredcites →https://doi.org/10.1029/94jd02953openalex-snapshot
The use of NOy, H2O2, and HNO3 as indicators for ozone‐NOx‐hydrocarbon sensitivity in urban locations
inferredcites →https://doi.org/10.1029/97jd00237openalex-snapshot
Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated‐k model for the longwave
inferredcites →https://doi.org/10.1038/srep20668openalex-snapshot
“APEC Blue”: Secondary Aerosol Reductions from Emission Controls in Beijing
inferredcites →https://doi.org/10.1109/tgrs.2006.872333openalex-snapshot
The ozone monitoring instrument
inferredcites →https://doi.org/10.1175/1520-0450(1983)022<1065:bpotsf>2.0.co;2openalex-snapshot
Bulk Parameterization of the Snow Field in a Cloud Model
inferredcites →https://doi.org/10.1175/1520-0469(1999)056<0127:smoamm>2.0.co;2openalex-snapshot
SCIAMACHY: Mission Objectives and Measurement Modes
inferredcites →https://doi.org/10.1175/1520-0469(1999)056<0151:tgomeg>2.0.co;2openalex-snapshot
The Global Ozone Monitoring Experiment (GOME): Mission Concept and First Scientific Results
inferredcites →https://doi.org/10.1175/jcli-d-14-00365.1openalex-snapshot
Direct Radiative Effect by Multicomponent Aerosol over China*
inferredcites →https://doi.org/10.3155/1047-3289.57.4.394openalex-snapshot
Analysis of Trace Elements and Ions in Ambient Fine Particulate Matter at Three Elementary Schools in Ohio
inferredcites →https://doi.org/10.5094/apr.2013.034openalex-snapshot
Integrated modeling of urban–scale pollutant transport: application in a semi–arid urban valley, Northwestern China
inferredcites →https://doi.org/10.5167/uzh-75117openalex-snapshot
High-resolution NO₂ remote sensing from the Airborne Prism EXperiment (APEX) imaging spectrometer
inferredcites →https://doi.org/10.5194/acp-10-4725-2010openalex-snapshot
Intercomparison methods for satellite measurements of atmospheric composition: application to tropospheric ozone from TES and OMI
inferredcites →https://doi.org/10.5194/acp-10-7603-2010openalex-snapshot
Air quality during the 2008 Beijing Olympics: secondary pollutants and regional impact
inferredcites →https://doi.org/10.5194/acp-11-12437-2011openalex-snapshot
Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games
inferredcites →https://doi.org/10.5194/acp-11-5289-2011openalex-snapshot
Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts
inferredcites →https://doi.org/10.5194/acp-12-2757-2012openalex-snapshot
Spatial-temporal variations in surface ozone in Northern China as observed during 2009–2010 and possible implications for future air quality control strategies
inferredcites →https://doi.org/10.5194/acp-13-1547-2013openalex-snapshot
Tropospheric NO 2 vertical column densities over Beijing: results of the first three years of ground-based MAX-DOAS measurements (2008–2011) and satellite validation
inferredcites →https://doi.org/10.5194/acp-13-2133-2013openalex-snapshot
MAX-DOAS measurements of NO 2 , HCHO and CHOCHO at a rural site in Southern China
inferredcites →https://doi.org/10.5194/acp-14-1441-2014openalex-snapshot
Retrieving tropospheric nitrogen dioxide from the Ozone Monitoring Instrument: effects of aerosols, surface reflectance anisotropy, and vertical profile of nitrogen dioxide
inferredcites →https://doi.org/10.5194/acp-17-935-2017openalex-snapshot
MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP
inferredcites →https://doi.org/10.5194/acp-4-231-2004openalex-snapshot
Multi axis differential optical absorption spectroscopy (MAX-DOAS)
inferredcites →https://doi.org/10.5194/acp-6-3181-2006openalex-snapshot
Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature)
inferredcites →https://doi.org/10.5194/acp-8-341-2008openalex-snapshot
First retrieval of tropospheric aerosol profiles using MAX-DOAS and comparison with lidar and sky radiometer measurements
inferredcites →https://doi.org/10.5194/acp-8-6577-2008openalex-snapshot
Validation of OMI tropospheric NO 2 column data using MAX-DOAS measurements deep inside the North China Plain in June 2006: Mount Tai Experiment 2006
inferredcites →https://doi.org/10.5194/acp-9-5237-2009openalex-snapshot
Ozone air quality during the 2008 Beijing Olympics: effectiveness of emission restrictions
inferredcites →https://doi.org/10.5194/amt-3-863-2010openalex-snapshot
Multiple wavelength retrieval of tropospheric aerosol optical properties from MAXDOAS measurements in Beijing
inferredcites →https://doi.org/10.5194/amt-5-2211-2012openalex-snapshot
High-resolution NO 2 remote sensing from the Airborne Prism EXperiment (APEX) imaging spectrometer
inferredcites →https://doi.org/10.5194/amt-5-901-2012openalex-snapshot
NO 2 measurements in Hong Kong using LED based long path differential optical absorption spectroscopy
inferredcites →https://doi.org/10.5194/amt-8-19-2015openalex-snapshot
Updated Smithsonian Astrophysical Observatory Ozone Monitoring Instrument (SAO OMI) formaldehyde retrieval
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.4500471openalex-extracted
Vertical Distribution and Source Analysis of Aerosols, Nitrogen Dioxide, and Formaldehyde in the Island and Inland Regions Over the Yangtze River Delta, China
inferred← citeshttps://doi.org/10.1002/2017jd027631openalex-snapshot
Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter
inferred← citeshttps://doi.org/10.1007/978-981-10-5657-4_12openalex-snapshot
Perspective for Future Research Direction About Health Impact of Ambient Air Pollution in China
inferred← citeshttps://doi.org/10.1007/978-981-92-0910-1_22openalex-snapshot
Spatio-Temporal Impact of Major Events on Air Quality Based on Spatial Differences-in-Differences Model: Big Data Analysis from China
inferred← citeshttps://doi.org/10.1007/s00704-021-03898-1openalex-snapshot
The deep blue day is decreasing in China
inferred← citeshttps://doi.org/10.1007/s10311-017-0642-2openalex-snapshot
High reduction of ozone and particulate matter during the 2016 G-20 summit in Hangzhou by forced emission controls of industry and traffic
inferred← citeshttps://doi.org/10.1007/s10311-018-0735-6openalex-snapshot
Residential emissions predicted as a major source of fine particulate matter in winter over the Yangtze River Delta, China
inferred← citeshttps://doi.org/10.1007/s10311-020-00976-0openalex-snapshot
Common source areas of air pollution vary with haze intensity in the Yangtze River Delta, China
inferred← citeshttps://doi.org/10.1007/s10311-020-01028-3openalex-snapshot
Unexpected rise of ozone in urban and rural areas, and sulfur dioxide in rural areas during the coronavirus city lockdown in Hangzhou, China: implications for air quality
inferred← citeshttps://doi.org/10.1007/s10346-021-01703-8openalex-snapshot
Failure mechanism of the Yaoba loess landslide on March 5, 2020: the early-spring dry spell in Southwest China
inferred← citeshttps://doi.org/10.1007/s10874-018-9374-3openalex-snapshot
Re-examine the APEC blue in Beijing 2014
inferred← citeshttps://doi.org/10.1007/s11069-021-04517-yopenalex-snapshot
Spatiotemporal impact of major events on air quality based on spatial differences-in-differences model: big data analysis from China
inferred← citeshttps://doi.org/10.1007/s11869-024-01676-2openalex-snapshot
Identification of potential regional sources of ambient criteria air pollutants at a national-controlled air quality observational site in Guiyang
inferred← citeshttps://doi.org/10.1016/j.apr.2025.102421openalex-snapshot
Effect of turbulent diffusion parameters optimization on O3 simulation in Beijing-Tianjin-Hebei and surrounding areas
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2017.09.041openalex-snapshot
Assessment of long-term and large-scale even-odd license plate controlled plan effects on urban air quality and its implication
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2018.12.009openalex-snapshot
Estimation of winter time NOx emissions in Hefei, a typical inland city of China, using mobile MAX-DOAS observations
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2019.116853openalex-snapshot
Citizen perception of APEC blue and air pollution management
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2022.119453openalex-snapshot
Satellite-based estimates of daily NO2 exposure in urban agglomerations of China and application to spatio-temporal characteristics of hotspots
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2025.121205openalex-snapshot
Source attribution of near-surface ozone pollution in Jiangsu Province of China over 2013–2019
inferred← citeshttps://doi.org/10.1016/j.atmosres.2020.105037openalex-snapshot
Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions
inferred← citeshttps://doi.org/10.1016/j.atmosres.2021.105777openalex-snapshot
Evaluating the feasibility of formaldehyde derived from hyperspectral remote sensing as a proxy for volatile organic compounds
inferred← citeshttps://doi.org/10.1016/j.atmosres.2024.107314openalex-snapshot
Studies on regional ozone formation sensitivities and transport with higher spatiotemporal resolutions in a stereoscopic dimension: GEMS and vertical observations
inferred← citeshttps://doi.org/10.1016/j.earscirev.2022.103958openalex-snapshot
Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects
inferred← citeshttps://doi.org/10.1016/j.ecolecon.2023.107750openalex-snapshot
Has Central Government Environmental Protection Interview Improved Air Quality in China?
inferred← citeshttps://doi.org/10.1016/j.eiar.2021.106668openalex-snapshot
Joint prevention and control mechanism for air pollution regulations in China: A policy simulation approach with evolutionary game
inferred← citeshttps://doi.org/10.1016/j.eng.2021.02.019openalex-snapshot
Ground-Based Hyperspectral Stereoscopic Remote Sensing Network: A Promising Strategy to Learn Coordinated Control of O3 and PM2.5 over China
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Identification of ozone sensitivity for NO2 and secondary HCHO based on MAX-DOAS measurements in northeast China
inferred← citeshttps://doi.org/10.1016/j.envpol.2018.02.051openalex-snapshot
Ground ozone concentrations over Beijing from 2004 to 2015: Variation patterns, indicative precursors and effects of emission-reduction
inferred← citeshttps://doi.org/10.1016/j.envpol.2020.115617openalex-snapshot
Air pollution episodes during the COVID-19 outbreak in the Beijing–Tianjin–Hebei region of China: An insight into the transport pathways and source distribution
inferred← citeshttps://doi.org/10.1016/j.envpol.2021.118691openalex-snapshot
First global observation of tropospheric formaldehyde from Chinese GaoFen-5 satellite: Locating source of volatile organic compounds
inferred← citeshttps://doi.org/10.1016/j.jclepro.2017.08.164openalex-snapshot
The “APEC blue” endeavor: Causal effects of air pollution regulation on air quality in China
inferred← citeshttps://doi.org/10.1016/j.jenvman.2022.115721openalex-snapshot
Vertical distributions and potential sources of wintertime atmospheric pollutants and the corresponding ozone production on the coast of Bohai Sea
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Investigating the impact of Glyoxal retrieval from MAX-DOAS observations during haze and non-haze conditions in Beijing
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Modeling of spatial and temporal variations of ozone-NO -VOC sensitivity based on photochemical indicators in China
inferred← citeshttps://doi.org/10.1016/j.jes.2022.09.014openalex-snapshot
MAX-DOAS and in-situ measurements of aerosols and trace gases over Dongying, China: Insight into ozone formation sensitivity based on secondary HCHO
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A CNN-SVR model for NO2 profile prediction based on MAX-DOAS observations: The influence of Chinese New Year overlapping the 2020 COVID-19 lockdown on vertical distributions of tropospheric NO2 in Nanjing, China
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Evaluating Hangzhou’s urgent source-specific regulatory policies for the 2024 New Year haze: A receptor model and machine learning approach
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112852openalex-snapshot
Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification
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A synchronous observation of enhanced aerosol and NO2 over Beijing, China, in winter 2015
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2017.03.231openalex-snapshot
Characteristics and emission-reduction measures evaluation of PM 2.5 during the two major events: APEC and Parade
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Identifying the wintertime sources of volatile organic compounds (VOCs) from MAX-DOAS measured formaldehyde and glyoxal in Chongqing, southwest China
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2022.153879openalex-snapshot
Development of GRAPES-CUACE adjoint model version 2.0 and its application in sensitivity analysis of ozone pollution in north China
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2022.154045openalex-snapshot
Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China
inferred← citeshttps://doi.org/10.1016/j.uclim.2023.101409openalex-snapshot
The pattern and mechanism of an unhealthy air pollution event in Lanzhou, China
inferred← citeshttps://doi.org/10.1021/acs.est.1c07814openalex-snapshot
Is Urban Greening an Effective Solution to Enhance Environmental Comfort and Improve Air Quality?
inferred← citeshttps://doi.org/10.1029/2020gl087978openalex-snapshot
Impact of Coronavirus Outbreak on NO 2 Pollution Assessed Using TROPOMI and OMI Observations
inferred← citeshttps://doi.org/10.1029/2026jd046668openalex-snapshot
Reduced Responsiveness of Peroxyacetyl Nitrate (PAN) to Temporary Control Measures: A Case Study in Chengdu, China
inferred← citeshttps://doi.org/10.1038/s41598-017-17646-xopenalex-snapshot
Characterization of ozone in the lower troposphere during the 2016 G20 conference in Hangzhou
inferred← citeshttps://doi.org/10.1038/s41598-018-22803-xopenalex-snapshot
The impacts of regional transport and meteorological factors on aerosol optical depth over Beijing, 1980–2014
inferred← citeshttps://doi.org/10.1038/s41612-023-00366-7openalex-snapshot
The contribution of industrial emissions to ozone pollution: identified using ozone formation path tracing approach
inferred← citeshttps://doi.org/10.1057/s41599-023-01773-0openalex-snapshot
Has the establishment of green finance reform and innovation pilot zones improved air quality? Evidence from China
inferred← citeshttps://doi.org/10.1080/16742834.2020.1768025openalex-snapshot
A review of surface ozone source apportionment in China
inferred← citeshttps://doi.org/10.1088/1748-9326/ab29bbopenalex-snapshot
Chinese blue days: a novel index and spatio-temporal variations
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3061476openalex-snapshot
Prediction of Vertical Profile of NO₂ Using Deep Multimodal Fusion Network Based on the Ground-Based 3-D Remote Sensing
inferred← citeshttps://doi.org/10.1111/1468-5973.70161openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2018/6597186openalex-snapshot
Spatial Distribution and Temporal Trend of Tropospheric NO 2 over the Wanjiang City Belt of China
inferred← citeshttps://doi.org/10.1175/bams-d-20-0217.1openalex-snapshot
Stereoscopic Monitoring: A Promising Strategy to Advance Diagnostic and Prediction of Air Pollution
inferred← citeshttps://doi.org/10.11834/jrs.20221632openalex-snapshot
Advances of ozone satellite remote sensing in 60 years
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3691123/v1openalex-snapshot
Identification of potential regional sources of ambient criteria air pollutants at a national controlled air quality observation site in Guiyang
inferred← citeshttps://doi.org/10.3389/fpubh.2023.1075262openalex-snapshot
Characteristics, health risks, and premature mortality attributable to ambient air pollutants in four functional areas in Jining, China
inferred← citeshttps://doi.org/10.3390/atmos13050697openalex-snapshot
Analysis of the Effect of Economic Development on Air Quality in Jiangsu Province Using Satellite Remote Sensing and Statistical Modeling
inferred← citeshttps://doi.org/10.3390/atmos13060860openalex-snapshot
Temporal Variation of NO2 and HCHO Vertical Profiles Derived from MAX-DOAS Observation in Summer at a Rural Site of the North China Plain and Ozone Production in Relation to HCHO/NO2 Ratio
inferred← citeshttps://doi.org/10.3390/rs11131524openalex-snapshot
Ground-Based MAX-DOAS Observations of CHOCHO and HCHO in Beijing and Baoding, China
inferred← citeshttps://doi.org/10.3390/rs13091798openalex-snapshot
Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation
inferred← citeshttps://doi.org/10.3390/rs13163326openalex-snapshot
Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar
inferred← citeshttps://doi.org/10.3390/rs13173518openalex-snapshot
Observations by Ground-Based MAX-DOAS of the Vertical Characters of Winter Pollution and the Influencing Factors of HONO Generation in Shanghai, China
inferred← citeshttps://doi.org/10.3390/rs13244996openalex-snapshot
Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project
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/rs14081869openalex-snapshot
How Does COVID-19 Lockdown Impact Air Quality in India?
inferred← citeshttps://doi.org/10.3390/rs15051295openalex-snapshot
Air Quality Index (AQI) Did Not Improve during the COVID-19 Lockdown in Shanghai, China, in 2022, Based on Ground and TROPOMI Observations
inferred← citeshttps://doi.org/10.3390/rs16173192openalex-snapshot
Spatiotemporal Distribution, Sources, and Impact on Atmospheric Oxidation of Reactive Nitrogen Oxides in the North China Plain Agricultural Regions in Summer
inferred← citeshttps://doi.org/10.3390/su14127459openalex-snapshot
Impact of Major Events on Interprovincial Carbon Emissions—Based on PSM-DID Analysis
inferred← citeshttps://doi.org/10.4209/aaqr.2017.10.0368openalex-snapshot
Ozone in China: Spatial Distribution and Leading Meteorological Factors Controlling O3 in 16 Chinese Cities
inferred← citeshttps://doi.org/10.48550/arxiv.2008.05724openalex-snapshot
The Definition and Long-term Variations of Beijing Blue Days
inferred← citeshttps://doi.org/10.5194/acp-17-14275-2017openalex-snapshot
Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China
inferred← citeshttps://doi.org/10.5194/acp-18-13581-2018openalex-snapshot
Counteractive effects of regional transport and emission control on the formation of fine particles: a case study during the Hangzhou G20 summit
inferred← citeshttps://doi.org/10.5194/acp-18-15387-2018openalex-snapshot
Tropospheric NO 2 , SO 2 , and HCHO over the East China Sea, using ship-based MAX-DOAS observations and comparison with OMI and OMPS satellite data
inferred← citeshttps://doi.org/10.5194/acp-18-5931-2018openalex-snapshot
Ship-based MAX-DOAS measurements of tropospheric NO 2 , SO 2 , and HCHO distribution along the Yangtze River
inferred← citeshttps://doi.org/10.5194/acp-18-7799-2018openalex-snapshot
Quantification of the enhanced effectiveness of NO x control from simultaneous reductions of VOC and NH 3 for reducing air pollution in the Beijing–Tianjin–Hebei region, China
inferred← citeshttps://doi.org/10.5194/acp-19-10051-2019openalex-snapshot
MAX-DOAS measurements of tropospheric NO 2 and HCHO in Nanjing and a comparison to ozone monitoring instrument observations
inferred← citeshttps://doi.org/10.5194/acp-19-3375-2019openalex-snapshot
Ground-based MAX-DOAS observations of tropospheric formaldehyde VCDs and comparisons with the CAMS model at a rural site near Beijing during APEC 2014
inferred← citeshttps://doi.org/10.5194/acp-19-6717-2019openalex-snapshot
Primary and secondary sources of ambient formaldehyde in the Yangtze River Delta based on Ozone Mapping and Profiler Suite (OMPS) observations
inferred← citeshttps://doi.org/10.5194/acp-19-8651-2019openalex-snapshot
Effectiveness of short-term air quality emission controls: a high-resolution model study of Beijing during the Asia-Pacific Economic Cooperation (APEC) summit period
inferred← citeshttps://doi.org/10.5194/acp-20-14787-2020openalex-snapshot
Significant wintertime PM 2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls
inferred← citeshttps://doi.org/10.5194/acp-20-14917-2020openalex-snapshot
Elevated dust layers inhibit dissipation of heavy anthropogenic surface air pollution
inferred← citeshttps://doi.org/10.5194/acp-21-15447-2021openalex-snapshot
OMI-observed HCHO in Shanghai, China, during 2010–2019 and ozone sensitivity inferred by an improved HCHO ∕ NO 2 ratio
inferred← citeshttps://doi.org/10.5194/amt-13-6271-2020openalex-snapshot
An improved TROPOMI tropospheric HCHO retrieval over China
inferred← citeshttps://doi.org/10.5194/egusphere-2022-653-supplementopenalex-snapshot
Supplementary material to "Evaluation of Transport Processes over North China Plain and Yangtze River Delta using MAX-DOAS Observations"
inferred← citeshttps://doi.org/10.5194/essd-13-4897-2021openalex-snapshot
Ground-based vertical profile observations of atmospheric composition on the Tibetan Plateau (2017–2019)
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