The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China
Published 2020 View Full Article
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Title
The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China
Authors
Keywords
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Journal
Remote Sensing
Volume 12, Issue 10, Pages 1613
Publisher
MDPI AG
Online
2020-05-18
DOI
10.3390/rs12101613
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- (2019) Zheng et al. Remote Sensing
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- (2019) Hao Fan et al. ATMOSPHERIC ENVIRONMENT
- MAIAC-based long-term spatiotemporal trends of PM 2.5 in Beijing, China
- (2018) Fengchao Liang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Characteristics of air pollution in different zones of Sichuan Basin, China
- (2018) Guicai Ning et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Enhancement of PM2.5 Concentrations by Aerosol-Meteorology Interactions Over China
- (2018) Xin Zhang et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- A modelling study of the terrain effects on haze pollution in the Sichuan Basin
- (2018) Lei Zhang et al. ATMOSPHERIC ENVIRONMENT
- The impacts of the meteorology features on PM2.5 levels during a severe haze episode in central-east China
- (2018) Hong Wang et al. ATMOSPHERIC ENVIRONMENT
- Substantial changes in air pollution across China during 2015–2017
- (2018) B Silver et al. Environmental Research Letters
- Ground-Level PM2.5 Concentration Estimation from Satellite Data in the Beijing Area Using a Specific Particle Swarm Extinction Mass Conversion Algorithm
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- Trends of PM 2.5 concentrations in China: A long term approach
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- (2017) Jianbin Gu et al. Remote Sensing
- Aerosol and boundary-layer interactions and impact on air quality
- (2017) Zhanqing Li et al. National Science Review
- Chemical composition and source apportionment of PM 2.5 during Chinese Spring Festival at Xinxiang, a heavily polluted city in North China: Fireworks and health risks
- (2016) Jinglan Feng et al. ATMOSPHERIC RESEARCH
- The observation-based relationships between PM2.5and AOD over China
- (2016) Jinyuan Xin et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Remote sensing of atmospheric fine particulate matter (PM2.5) mass concentration near the ground from satellite observation
- (2015) Ying Zhang et al. REMOTE SENSING OF ENVIRONMENT
- Characteristics of fine particulate non-polar organic compounds in Guangzhou during the 16th Asian Games: Effectiveness of air pollution controls
- (2013) H.M. Xu et al. ATMOSPHERIC ENVIRONMENT
- Middle East Respiratory Syndrome Coronavirus (MERS-CoV): Announcement of the Coronavirus Study Group
- (2013) R. J. de Groot et al. JOURNAL OF VIROLOGY
- TROPOMI on the ESA Sentinel-5 Precursor: A GMES mission for global observations of the atmospheric composition for climate, air quality and ozone layer applications
- (2012) J.P. Veefkind et al. REMOTE SENSING OF ENVIRONMENT
- The impact of the pollution control measures for the 2008 Beijing Olympic Games on the chemical composition of aerosols
- (2011) Tomoaki Okuda et al. ATMOSPHERIC ENVIRONMENT
- CO emissions in China: Uncertainties and implications of improved energy efficiency and emission control
- (2011) Yu Zhao et al. ATMOSPHERIC ENVIRONMENT
- Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm
- (2011) A. Lyapustin et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Map-projection-independent crater size-frequency determination in GIS environments—New software tool for ArcGIS
- (2010) T. Kneissl et al. PLANETARY AND SPACE SCIENCE
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