DOI: 10.1016/j.atmosenv.2020.117527
论文题名: A general regression method for accurately determining the key parameters of VOC emissions from building materials/furniture in a ventilated chamber
作者: Wang Y. ; Yang T. ; He Z. ; Sun L. ; Yu X. ; Zhao J. ; Hu Y. ; Zhang S. ; Xiong J.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 231 语种: 英语
学科: Building material
; Furniture
; Indoor air quality
; Key parameters
; Ventilated chamber
; Volatile organic compounds (VOCs)
中文摘要: 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 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160336
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Atmospheric Environment,2020-01-01,231