Research Trends, Hotspots and Frontiers of Ozone Pollution from 1996 to 2021: A Review Based on a Bibliometric Visualization Analysis

A total of 2932 publications in the field of ozone pollution were obtained from the Web of Science and briefly reviewed using a bibliometric analysis and WOS-based citation reports. CiteSpace 5.7.R3 (64 bit) was used to perform a visualization of knowledge mapping by keywords co-words, burst analysi...

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Bibliographic Details
Published in:Sustainability 2022-09, Vol.14 (17), p.10898
Main Authors: Hou, Yongjiang, Shen, Zheng
Format: Article
Language:English
Subjects:
Air pollution
Air pollution forecasting
Analysis
Artificial intelligence
Bibliometrics
Big data
Chemical transport
Clustering
Cooperation
Data collection
Deep learning
Genetic transformation
Keywords
Knowledge
Machine learning
Methods
Network analysis
Outdoor air quality
Ozone
Ozone layer depletion
Pollution
Pollution dispersion
Prevention
Risk assessment
Software
Trends
Visualization
Visualization (Computers)
VOCs
Volatile organic compounds
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Summary:A total of 2932 publications in the field of ozone pollution were obtained from the Web of Science and briefly reviewed using a bibliometric analysis and WOS-based citation reports. CiteSpace 5.7.R3 (64 bit) was used to perform a visualization of knowledge mapping by keywords co-words, burst analysis, co-cited reference analysis, and cooperation network analysis. Research topics in this field have mainly focused on three aspects: risk assessment of ozone pollution for both humans and plants under short-term and long-term exposure; ozone pollution characterization and modeling of ozone transport on different scales; and elucidating the mechanism of ozone formation and source apportionment. By clustering the co-cited references using the data from 2016 to 2021, the frontiers are found to be: (1) VOCs’ precursors and ozone transformation mechanism; (2) modeling of source apportionment and source-oriented chemical transport considering meteorological influence to predict ozone concentration at different spatial and temporal scales; and (3) premature mortality and health burden with relation to ozone exposure. It should be mentioned that an emerging research hotspot is the utilization of artificial intelligence (AI) tools (e.g., machine learning, deep learning, etc.) to facilitate the modeling of big data at different scales.
ISSN:2071-1050
2071-1050
DOI:10.3390/su141710898