The University of Dublin | Trinity College -- Ollscoil Átha Cliath | Coláiste na Tríonóide
Trinity's Access to Research Archive
Home :: Log In :: Submit :: Alerts ::

TARA >
School of Engineering >
Civil Structural & Environ Eng >
Civil Structural & Environ Eng (Scholarly Publications) >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/58661

Title: Prediction of Traffic-Related Nitrogen Oxides Concentrations using Structural Time Series Models
Author: GHOSH, BIDISHA
BRODERICK, BRIAN MICHAEL
Author's Homepage: http://people.tcd.ie/bghosh
http://people.tcd.ie/bbrodrck
Keywords: Environmental sciences
air quality
Dublin
Issue Date: 2011
Publisher: Elsevier
Citation: Anneka Ruth Lawson, Bidisha Ghosh, Brian Broderick, Prediction of Traffic-Related Nitrogen Oxides Concentrations using Structural Time Series Models, Atmospheric Environment, 45, 27, 2011, 4719-4727
Series/Report no.: Atmospheric Environment;
45;
27;
Abstract: Ambient air quality monitoring, modeling and compliance to the standards set by European Union (EU) directives and World Health Organization (WHO) guidelines are required to ensure the protection of human and environmental health. Congested urban areas are most susceptible to traffic related air pollution which is the most problematic source of air pollution in Ireland. Long-term continuous real-time monitoring of ambient air quality at such urban centers is essential but often not realistic due to financial and operational constraints. Hence, the development of a resource-conservative ambient air quality monitoring technique is essential to ensure compliance with the threshold values set by the standards. As an intelligent and advanced statistical methodology, a Structural Time Series (STS) based approach has been introduced in this paper to develop a parsimonious and computationally simple air quality model. In STS methodology, the different components of a time-series dataset such as the trend, seasonal, cyclical and calendar variations can be modeled separately. To test the effectiveness of the proposed modeling strategy, average hourly concentrations of nitrogen dioxide and nitrogen oxides from a congested urban arterial in Dublin city centre were modeled using STS methodology. The prediction error estimates from the developed air quality model indicate that the STS model can be a useful tool in predicting nitrogen dioxide and nitrogen oxides concentrations in urban areas and will be particularly useful in situations where the information on external variables such as meteorology or traffic volume is not available.
Description: PUBLISHED
URI: http://hdl.handle.net/2262/58661
Related links: http://dx.doi.org/10.1016/j.atmosenv.2011.04.053
Appears in Collections:Civil Structural & Environ Eng (Scholarly Publications)

Files in This Item:

File Description SizeFormat
Prediction of Traffic-Related Nitrogen Oxides Concentrations using Structural Time Series Models.pdfPublished (author's copy) - Peer Reviewed312.36 kBAdobe PDFView/Open


This item is protected by original copyright


Please note: There is a known bug in some browsers that causes an error when a user tries to view large pdf file within the browser window. If you receive the message "The file is damaged and could not be repaired", please try one of the solutions linked below based on the browser you are using.

Items in TARA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback