A numerical model predicting indoor volatile organic compound Volatile Organic Compounds emissions from multiple building materials.
Diffusion coefficient
Dynamic model
Initial concentration
Multiple dry building materials
Partition coefficient
Volatile Organic Compounds
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jan 2020
Jan 2020
Historique:
received:
15
08
2019
accepted:
28
10
2019
pubmed:
7
12
2019
medline:
4
3
2020
entrez:
7
12
2019
Statut:
ppublish
Résumé
There have been many studies on the model of volatile organic compound (VOC) emissions from individual dry building material and have been validated in the chamber. Actually, VOC emitted from multiple dry building materials simultaneously indoor. The concentration of VOC indoor increases and will inhibit the VOC emission of dry building materials indoor. This paper developed a new model predicting indoor VOC concentrations caused by simultaneous emissions from multiple dry building materials, with a consideration of impact from dynamic VOC concentrations on the emission rate. The model has been used to predict the VOC emissions from a combination of medium-density fiberboard (MDF) and consolidated compound floor (CCF) simultaneously. The study demonstrated a good prediction performance of the newly proposed model, against field experimental data. The study also showed that when multiple dry building materials emit pollutants in a common space, a mutual inhibition effect could be observed. Furthermore, when multiple dry building materials emit VOC simultaneously, the change of VOC concentrations in the air followed the trends of VOC emissions from building materials with higher initial concentration (C
Identifiants
pubmed: 31808084
doi: 10.1007/s11356-019-06890-5
pii: 10.1007/s11356-019-06890-5
doi:
Substances chimiques
Environmental Pollutants
0
Volatile Organic Compounds
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
587-596Subventions
Organisme : National Key Research and Development Program of China
ID : 2017YFC0702700
Organisme : The 111 Project
ID : B13041
Organisme : Fundamental Research Funds for the Central Universities
ID : Project NO.2018CDJDCH0015
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