Simulating the effect of variations in emission source start times on indoor PM concentrations

James A. McGrath*, Miriam A. Byrne, Mike R. Ashmore, Andrew C. Terry, Sani Dimitroulopoulou

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

This paper presents the simulation of concentrations with variations in the start times of indoor PM emission sources, as exact details can be uncertain or vary over population groups, as a result of differences in their activity profiles. Probability density functions are used to generate a distribution of potential start times, predicting the range of possible indoor PM concentrations. This technique captures details on the concentration distribution, in contrast to a single peak concentration, but the consequence of using this is an under-prediction of peak concentrations.

Original languageEnglish
Pages304-306
Number of pages3
Publication statusPublished - 2014
Event13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014 - Hong Kong, Hong Kong
Duration: 7 Jul 201412 Jul 2014

Conference

Conference13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014
Country/TerritoryHong Kong
CityHong Kong
Period7/07/1412/07/14

Keywords

  • Emissions
  • Indoor air quality
  • PM
  • Probabilistic modelling

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