Land use regression model (LUR) for ultrafine particles in Brisbane

Karunasinghe, Jayanandana, Knibbs, Luke D., Clifford, Sam, Salimi, Farhad, & Morawska, Lidia (2015) Land use regression model (LUR) for ultrafine particles in Brisbane. In 9th Asian Aerosol Conference (AAC2015), 23-26 June 2015, Kanazawa Tokyu Hotel, Kanazawa, Japan.

Abstract

Traffic-related air pollution has been associated with a wide range of adverse health effects. One component of traffic emissions that has been receiving increasing attention is ultrafine particles(UFP, < 100 nm), which are of concern to human health due to their small diameters. Vehicles are the dominant source of UFP in urban environments. Small-scale variation in ultrafine particle number concentration (PNC) can be attributed to local changes in land use and road abundance. UFPs are also formed as a result of particle formation events. Modelling the spatial patterns in PNC is integral to understanding human UFP exposure and also provides insight into particle formation mechanisms that contribute to air pollution in urban environments. Land-use regression (LUR) is a technique that can use to improve the prediction of air pollution.

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ID Code: 93789
Item Type: Conference Item (Poster)
Refereed: Yes
Keywords: Traffic-related air pollution, adverse health effects, traffic emissions, particle number concentration, ultrafine particles
Subjects: Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > ATMOSPHERIC SCIENCES (040100) > Atmospheric Aerosols (040101)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Environmental Monitoring (050206)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ENVIRONMENTAL ENGINEERING (090700) > Environmental Engineering not elsewhere classified (090799)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 The Author(s)
Deposited On: 16 Mar 2016 05:17
Last Modified: 16 Mar 2016 05:17

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