气候变化领域集成服务门户(CCPortal): A general regression method for accurately determining the key parameters of VOC emissions from building materials/furniture in a ventilated chamber

CCPortal

DOI	10.1016/j.atmosenv.2020.117527
	A general regression method for accurately determining the key parameters of VOC emissions from building materials/furniture in a ventilated chamber
	Wang Y.; Yang T.; He Z.; Sun L.; Yu X.; Zhao J.; Hu Y.; Zhang S.; Xiong J.
发表日期	2020
ISSN	1352-2310
卷号	231
英文摘要	Emissions of volatile organic compounds (VOCs) from building materials/furniture can be characterized by three key parameters: the initial emittable concentration (C0), the diffusion coefficient (Dm), and the partition coefficient (K). These parameters provide the basis for realizing effective source control, as well as for evaluating health risks. In this study, we propose a general regression method to accurately and rapidly measure the three key parameters of VOC emissions from building materials/furniture in a ventilated chamber. This method firstly establishes the relationship between the three key parameters and the first root of the analytical solution describing VOC emissions, and this root is then determined by curve regression. Compared with previous regression methods which need to fit two or three parameters simultaneously, the main merit of the present method lies in that it just needs to fit one parameter and thus can get a unique solution. We tested panel furniture in a ventilated chamber to measure the three key parameters of some common VOCs. Results indicate that the model predictions based on the parameters determined via this new method agree well with experimental data, which validates the reliability of this proposed method. Analyzing data from the literature further demonstrates the accuracy of this method. The present method involves chamber testing under ventilated conditions only, which is consistent with the testing conditions for many standards, thus will benefit routine laboratory testing. © 2020 Elsevier Ltd
关键词	Building material Furniture Indoor air quality Key parameters Ventilated chamber Volatile organic compounds (VOCs)
语种	英语
scopus关键词	Building materials; Health risks; Ventilation; Volatile organic compounds; Curve regression; Laboratory testing; Model prediction; Partition coefficient; Regression method; Testing conditions; Three parameters; Ventilated chambers; Regression analysis; acetoacetic acid; activated carbon; benzaldehyde; ethylbenzene; formaldehyde; glycol; styrene; volatile organic compound; xylene; accuracy assessment; construction material; emission; laboratory method; parameter estimation; partition coefficient; regression analysis; volatile organic compound; Article; comparative study; controlled study; diffusion coefficient; high performance liquid chromatography; laboratory test; partition coefficient; priority journal; surface property
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/249163
作者单位	School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China; Beijing Products Quality Supervision and Inspection Institute, Beijing, 101776, China; Hunan Testing Institute of Product and Commodity Supervision, Changsha, 410007, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
推荐引用方式 GB/T 7714	Wang Y.,Yang T.,He Z.,et al. A general regression method for accurately determining the key parameters of VOC emissions from building materials/furniture in a ventilated chamber[J],2020,231.
APA	Wang Y..,Yang T..,He Z..,Sun L..,Yu X..,...&Xiong J..(2020).A general regression method for accurately determining the key parameters of VOC emissions from building materials/furniture in a ventilated chamber.ATMOSPHERIC ENVIRONMENT,231.
MLA	Wang Y.,et al."A general regression method for accurately determining the key parameters of VOC emissions from building materials/furniture in a ventilated chamber".ATMOSPHERIC ENVIRONMENT 231(2020).