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« Previous AbstractProcalcitonin as a diagnostic marker for infection in sickle cell disease    Next AbstractPrediction of the wash-off of traffic related semi- and non-volatile organic compounds from urban roads under climate change influenced rainfall characteristics »

Environ Sci Technol


Title:Prediction model of the buildup of volatile organic compounds on urban roads
Author(s):Mahbub P; Goonetilleke A; Ayoko GA;
Address:"School of Urban Development, Queensland University of Technology, GPO Box 2434, Brisbane 4001, Queensland, Australia. s.mahbub@qut.edu.au"
Journal Title:Environ Sci Technol
Year:2011
Volume:20110422
Issue:10
Page Number:4453 - 4459
DOI: 10.1021/es200307x
ISSN/ISBN:1520-5851 (Electronic) 0013-936X (Linking)
Abstract:"A model to predict the buildup of mainly traffic-generated volatile organic compounds or VOCs (toluene, ethylbenzene, ortho-xylene, meta-xylene, and para-xylene) on urban road surfaces is presented. The model required three traffic parameters, namely average daily traffic (ADT), volume to capacity ratio (V/C), and surface texture depth (STD), and two chemical parameters, namely total suspended solid (TSS) and total organic carbon (TOC), as predictor variables. Principal component analysis and two phase factor analysis were performed to characterize the model calibration parameters. Traffic congestion was found to be the underlying cause of traffic-related VOC buildup on urban roads. The model calibration was optimized using orthogonal experimental design. Partial least squares regression was used for model prediction. It was found that a better optimized orthogonal design could be achieved by including the latent factors of the data matrix into the design. The model performed fairly accurately for three different land uses as well as five different particle size fractions. The relative prediction errors were 10-40% for the different size fractions and 28-40% for the different land uses while the coefficients of variation of the predicted intersite VOC concentrations were in the range of 25-45% for the different size fractions. Considering the sizes of the data matrices, these coefficients of variation were within the acceptable interlaboratory range for analytes at ppb concentration levels"
Keywords:"Benzene Derivatives/analysis Cities Environmental Monitoring Environmental Pollutants/*analysis *Models, Chemical Surface Properties Toluene/analysis Transportation/*statistics & numerical data Volatile Organic Compounds/*analysis Xylenes/analysis;"
Notes:"MedlineMahbub, Parvez Goonetilleke, Ashantha Ayoko, Godwin A eng Research Support, Non-U.S. Gov't 2011/04/26 Environ Sci Technol. 2011 May 15; 45(10):4453-9. doi: 10.1021/es200307x. Epub 2011 Apr 22"

 
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