A Method of Estimating Sub-Micrometer Particle Concentrations from Roadside Measurements in an Urban Environment
Ferreira, Luis, McGregor, Fraser A., & Morawska, Lidia (2003) A Method of Estimating Sub-Micrometer Particle Concentrations from Roadside Measurements in an Urban Environment. In ARRB, August 2003, Cairns, Australia.
This paper reports on a co-operative research project between the Queensland University of Technology (QUT) and Queensland Transport to predict the contributions that motor vehicle emissions from various fleet compositions and traffic conditions make to the level of airborne sub-micrometer particles. Extensive data relating to sub-micrometer particle concentration levels and the corresponding contributing vehicles have been collected at two significantly different Brisbane sites. One site is a straight section of the Pacific Motorway, with average free flowing peak hour flows of 1650 vehicles per hour per lane, of which 15% were LCVs and HCVs. The other site is a signalised intersection on a major urban freight arterial route outside a public hospital where the traffic has a significantly larger proportion of HCV undergoing stop/start conditions. These sites have significantly different fleet compositions and driving cycles resulting in differing particle concentration levels and speciation. Particle concentration data at each site was collected over several weeks and matched to the corresponding vehicle counts. Fleet composition was determined from analysis of video and other data. Meteorological data (eg wind speed and direction, temperature, precipitation, humidity) and terrain data at the sites were also recorded. From an analysis of this data, the effect of various meteorological factors on the measured concentration levels was determined and thence an estimate of the amount of tailpipe particle emissions for the particular fleet compositions and driving cycles was made. Functional dependencies between time of a day (for week and weekend days) and speciated vehicle flow were developed. Flow rates for specific time of day /day of week, were statistically analysed in order to predict the average flow for those periods of interest within a 95% confidence level. Vehicle flow rates were further categorised by fuel type. From this analysis, the flow rates for different fuel categories for the period of interest can be predicted. From the statistical analysis of this data, models have been developed that can predict worst case levels of sub-micrometer particle concentrations with a satisfactory level of confidence. The models also indicate how the concentrations are affected by changes in the proportions of petrol/diesel vehicles and increases in CVs. This has significance for use in modelling to assess environmental impacts of alternative transport options.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||Particles, sub, micrometer, particulates, particulate matter, traffic flows, modelling, diesel fuel|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)|
Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > ATMOSPHERIC SCIENCES (040100) > Atmospheric Sciences not elsewhere classified (040199)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2003 (please consult author)|
|Deposited On:||01 Mar 2006|
|Last Modified:||09 Jun 2010 22:30|
Repository Staff Only: item control page