Can long-term emissions be predicted with models based on short-term emissions?

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ConferenceIndoor Air 2008, The 11th International Conference on Indoor Air Quality and Climate: 16 August 2008, Copenhagen, Denmark
Pages17; # of pages: 7
Subjectmaterial emissions, volatile organic compounds, long-term emissions, oriented strand board, building materials, indoor air quality; Indoor air
AbstractThis research investigated the validity of extrapolating short-term experimental data to predict long-term emissions of volatile organic compound emissions from construction materials and furniture. A dynamic chamber test was conducted continuously for over a year to obtain concentration versus time data for chemical emissions from an oriented strand board specimen. The coefficients of a power-law type emission model were estimated using the short-term data (up to 1 week) and predicted concentrations were compared to measured concentrations.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number50803
NPARC number20377925
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Record identifierdee89feb-1906-4718-8982-e93b31144351
Record created2012-07-24
Record modified2016-05-09
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