Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractEvaluating the Environmental Health Effect of Bamboo-Derived Volatile Organic Compounds through Analysis the Metabolic Indices of the Disorder Animal Model    Next AbstractOdorant Receptors for Detecting Flowering Plant Cues Are Functionally Conserved across Moths and Butterflies »

Environ Sci Pollut Res Int


Title:A numerical model predicting indoor volatile organic compound Volatile Organic Compounds emissions from multiple building materials
Author(s):Guo M; Yu W; Zhang S; Wang H; Wei S;
Address:"Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, 400045, China. National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, 400045, China. Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, 400045, China. yuweixscq@126.com. National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, 400045, China. yuweixscq@126.com. School of Urban Construction and Environmental Engineering, Chongqing University Campus B, Chongqing, 400045, China. yuweixscq@126.com. Shenzhen Municipal Design & Research Institute Co.,Ltd., Shenzhen, China. The Bartlett School of Construction and Project Management, University College London, London, WC1E 7HB, UK"
Journal Title:Environ Sci Pollut Res Int
Year:2020
Volume:20191205
Issue:1
Page Number:587 - 596
DOI: 10.1007/s11356-019-06890-5
ISSN/ISBN:1614-7499 (Electronic) 0944-1344 (Linking)
Abstract:"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(0)), diffusion coefficient (D(m)), and the partition coefficient (K(ma))"
Keywords:"Air Pollution, Indoor/analysis/*statistics & numerical data *Construction Materials Environmental Pollutants Floors and Floorcoverings Volatile Organic Compounds/*analysis Diffusion coefficient Dynamic model Initial concentration Multiple dry building mat;"
Notes:"MedlineGuo, Miao Yu, Wei Zhang, Sheng Wang, Han Wei, Shen eng 2017YFC0702700/National Key Research and Development Program of China/ B13041/The 111 Project/ Project NO.2018CDJDCH0015/Fundamental Research Funds for the Central Universities/ Germany 2019/12/07 Environ Sci Pollut Res Int. 2020 Jan; 27(1):587-596. doi: 10.1007/s11356-019-06890-5. Epub 2019 Dec 5"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 25-11-2024