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 language | English |
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| Pages | 304-306 |
| Number of pages | 3 |
| Publication status | Published - 2014 |
| Event | 13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014 - Hong Kong, Hong Kong Duration: 7 Jul 2014 → 12 Jul 2014 |
Conference
| Conference | 13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 7/07/14 → 12/07/14 |
Keywords
- Emissions
- Indoor air quality
- PM
- Probabilistic modelling