文章基本信息

标题：An improved mechanism-based model for predicting the long-term formaldehyde emissions from composite wood products with exposed edges and seams
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作者：Zhangcan He ; Jianyin Xiong ; Kazukiyo Kumagai 等
期刊名称：Environment International
印刷版ISSN：0160-4120
电子版ISSN：1873-6750
出版年度：2019
卷号：132
页码：1-10
DOI：10.1016/j.envint.2019.105086
语种：English
出版社：Pergamon
摘要：AbstractEmissions of formaldehyde from building materials and furniture can cause adverse health effects. Traditional models generally only consider emissions as a physical process that can be characterized by three key parameters: the initial emittable concentration, the diffusion coefficient and the partition coefficient. However, the physical-based model causes discrepancy in predicting long-term formaldehyde emissions for the cases where chemical reaction (i.e., hydrolysis) occurs over time. In this study, an improved mechanism-based model was developed by combining the chemical reaction process with a physical mass transfer process to more accurately predict the long-term emission behaviors. The chamber testing data of formaldehyde emissions from exposed edges and seams of a laminate flooring product made with composite wood core for about 1.5 year was used to validate the model. Results indicate that the mechanism-based model characterizes well the long-term formaldehyde emissions from the tested material. Predictions of different models further demonstrate the advantages of this improved model compared with the physical model or with empirical models. This study is the first attempt to check the feasibility of including the chemical reaction term in emission modeling and to quantitatively explore the importance of its contribution to long-term formaldehyde emissions, which includes most of the indoor emissions from materials and furniture.Highlights•A mechanism-based model is proposed to describe long-term formaldehyde emissions.•Formaldehyde emission tests from a laminate flooring were performed for 1.5 year.•The model successfully predicts long-term emission based on data from first 3-mon.•The relative contributions of physical and chemical emissions are analyzed.•The model is also effective in predicting emission from particleboard and furniture.
关键词：Building material;Formaldehyde;Mechanism-based model;Long-term emission;Indoor air quality