Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China

Bibliographic Data

ID15475447
AuthorsJiajia Chen (0000-0001-8482-8398, Wuhan University), Huanfeng Shen (0000-0002-4140-1869, Wuhan University, corresponding author), Tongwen Li (0000-0001-7197-3713, Wuhan University), Xiaolin Peng (0000-0002-0958-7042, Xinyang Normal University), Hairong Cheng (0000-0001-6418-6236, Wuhan University), Chenyan Ma (Wuhan University)
Year2019
Volume16
Issue23
Pages4824-4824
Publication date2019-11-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph16234824
PMID31801295
OpenAlexW2990682936
LanguageEN
Citations received6
References cited47

In recent years, particulate matter of 2.5 μm or less (PM 2.5 ) pollution in China has decreased but, at the same time, ozone (O 3 ) pollution has become increasingly serious. Due to the different research areas and research periods, the existing analyses of the correlation between PM 2.5 and O 3 have reached different conclusions. In order to clarify the relationship between PM 2.5 and O 3 , this study selected mainland China as the research area, based on the PM 2.5 and O 3 concentration data of 1458 air quality monitoring stations, and analyzed the correlation between PM 2.5 and O 3 for different time scales and geographic divisions. Moreover, by combining the characteristics of the pollutants, topography, and climatic features of the study area, we attempted to discuss the causes of the spatial and temporal differences of R-PO (the correlation between PM 2.5 and O 3 ). The study found that: (1) R-PO tends to show a positive correlation in summer and a negative correlation in winter, (2) the correlation coefficient of PM 2.5 and O 3 is lower in the morning and higher in the afternoon, and (3) R-PO also shows significant spatial differences, including north-south differences and coastland-inland differences

Air pollution · Air quality index · Atmospheric sciences · China · Climatology · Correlation · Correlation coefficient · Geography · Mainland China · Meteorology · Morning · Negative correlation · Physical geography · Pollutant · Positive correlation · Spatial correlation · Spatial variability · Statistics · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Atmospheric chemistry and aerosols · Environmental Science · Ecology · Geology · Pollution

  • Prediction and evaluation of spatial distributions of ozone and urban heat island using a machine learning modified land use regression method

    Open Access•Li Han, Jingyuan Zhao et al.•Sustainable Cities and Society•2022

  • The impact of ambient air pollution on health-related quality of life

    Open Access•Yu-Ni Gu, Yu-Hui Hu et al.•Quality of Life Research•2025

  • Ambient fine particulate matter and ozone pollution in China

    Open Access•Yueqi Jiang, Shuxiao Wang et al.•Environmental Research Letters•2022

  • Winners and losers of the Sino–US trade war from economic and environmental perspectives

    Open Access•Mingxi Du, Lulu Chen et al.•Environmental Research Letters•2020

  • Characterization of Atmospheric Fine Particles and Secondary Aerosol Estimated under the Different Photochemical Activities in Summertime Tianjin, China

    Open Access•GU Jin-xia, Jinxia Gu et al.•International Journal of…•2022

  • A novel ensemble machine learning exposure model system for ground-level ozone at the national scale

    Open Access•Jiawei Wang•Environmental Impact Assessment…•2024

  • Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China

    Open Access•Ke Li, Daniel J Jacob et al.•Proceedings of the National…•2019

  • Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013

    Michael Brauer, Greg Freedman et al.•Environmental Science & Technology•2016

  • A review on the human health impact of airborne particulate matter

    Open Access•Ki‐hyun Kim, Ehsanul Kabir et al.•Environment International•2015

  • Fine particulate matter (PM2.5) in China at a city level

    Open Access•Yan-Lin Zhang, Yanlin Zhang et al.•Scientific Reports•2015

  • The Relationships between PM2.5 and Meteorological Factors in China

    Open Access•Qianqian Yang, Qiangqiang Yuan et al.•International Journal of…•2017

  • Spatial and Temporal Variations of PM2.5 and Its Relation to Meteorological Factors in the Urban Area of Nanjing, China

    Open Access•Tao Chen, Jun He et al.•International Journal of…•2016

Unique citing works6
Citations per year1
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae