Algorithm for PM2.5 gravimetric correction factor
conference paper
An important precondition for accurately measuring with optical particle counters indoor is that the particulate matter particle size distribution coincides well with that from outside air. It is known from several studies (O'Leary 2018, Singer 2018) that particle counters underestimate the concentration of PM2.5 particulate matter by a factor of 1.5 to 5 in the case of indoor events, for example, cooking as a source of particulate matter. This is because optical particle counters cannot register particles below 0.25 µm, which are abundantly present in these sources. The aim of this study is to develop an algorithm that can be used to apply a PM2.5 correction factor for optical particle counter use in homes. A first algorithm has been set up based on the PM2.5/PM1 ratio of the O'Leary measurement data for cooking of four complete meals. The next step is to test the algorithm for other indoor emissions. (C) 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
Topics
TNO Identifier
986288
Publisher
International Society of Indoor Air Quality and Climate
Source title
17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
Pages
1-2
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