A Proxy Model for Traffic Related Air Pollution Indicators Based on Traffic Count
A Proxy Model for Traffic Related Air Pollution Indicators Based on Traffic Count
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Understanding how traffic contributes to air pollution, especially in urban areas, is essential for designing effective strategies to reduce air pollution emissions. This study examines the hourly association between traffic volume and concentrations of two air pollution indicators (NO2 and PM10) using high-resolution data from two monitoring stati...
Alternative Titles
Full title
A Proxy Model for Traffic Related Air Pollution Indicators Based on Traffic Count
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_748481d172e24ae1a020a287238ac4cb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_748481d172e24ae1a020a287238ac4cb
Other Identifiers
ISSN
2073-4433
E-ISSN
2073-4433
DOI
10.3390/atmos16050538
