Data

A quantitative and qualitative analysis of severe air pollution episodes

Queensland University of Technology
Morawska, Lidia
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25912/RDF_1639716922509&rft.title=A quantitative and qualitative analysis of severe air pollution episodes&rft.identifier=10.25912/RDF_1639716922509&rft.publisher=Queensland University of Technology&rft.description=Severe episodic air pollution blankets entire cities and regions and have a profound impact on humans and their activities. We compiled daily fine particle (PM2.5) data from 100 cities in five continents, investigated the trends of number, frequency, and duration of pollution episodes, and compared these with the baseline trend in air pollution. &rft.creator=Morawska, Lidia &rft.date=2022&rft.edition=1&rft.relation=https://eprints.qut.edu.au/212149/&rft.coverage=Worldwide study.&rft_rights=© Queensland University of Technology, 2022.&rft_rights=Creative Commons Attribution-NonCommercial-No Derivatives 3.0 http://creativecommons.org/licenses/by-nc-nd/4.0/&rft_subject=Severe air pollution events&rft_subject=Atmospheric sciences&rft_subject=EARTH SCIENCES&rft_subject=Formation of secondary pollutants&rft_subject=Environmental engineering&rft_subject=ENGINEERING&rft_subject=Pollution episodes&rft_subject=Pollution emissions&rft_subject=Urban air pollution&rft_subject=Mitigating air pollutants&rft_subject=Atmospheric aerosols&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-NonCommercial-No Derivatives 3.0
http://creativecommons.org/licenses/by-nc-nd/4.0/

© Queensland University of Technology, 2022.

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Contact Information

Postal Address:
Distinguished Professor Lidia Morawska
Ph: +61 7 3138 2616

l.morawska@qut.edu.au

Full description

Severe episodic air pollution blankets entire cities and regions and have a profound impact on humans and their activities. We compiled daily fine particle (PM2.5) data from 100 cities in five continents, investigated the trends of number, frequency, and duration of pollution episodes, and compared these with the baseline trend in air pollution.

Data time period: 2018 to 31 12 2020

This dataset is part of a larger collection

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Spatial Coverage And Location

text: Worldwide study.

Identifiers