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Assessing the impact of clean air action on air quality trends in Beijing using a machine learning t...

Assessing the impact of clean air action on air quality trends in Beijing using a machine learning t...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e7bd5cd4d9c4e559a811b59a747a2ee

Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique

About this item

Full title

Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Atmospheric chemistry and physics, 2019-09, Vol.19 (17), p.11303-11314

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

A 5-year Clean Air Action Plan was implemented in 2013 to reduce air pollutant emissions and improve ambient air quality in Beijing. Assessment of this action plan is an essential part of the decision-making process to review its efficacy and to develop new policies. Both statistical and chemical transport modelling have been previously applied to...

Alternative Titles

Full title

Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3e7bd5cd4d9c4e559a811b59a747a2ee

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e7bd5cd4d9c4e559a811b59a747a2ee

Other Identifiers

ISSN

1680-7324,1680-7316

E-ISSN

1680-7324

DOI

10.5194/acp-19-11303-2019

How to access this item