An improved mechanism-based model for predicting the long-term formaldehyde emissions from composite wood products with exposed edges and seams
An improved mechanism-based model for predicting the long-term formaldehyde emissions from composite wood products with exposed edges and seams
复制标题
一种改进的基于机制的模型，用于预测具有外露边缘和接缝的复合木制品的长期甲醛排放量
DOI：
10.1016/j.envint.2019.105086
复制
发表时间：
2019-11-01
影响因子：
11.8
通讯作者：
Chen, Wenhao
中科院分区：
文献类型：
--
作者：
He, Zhangcan;Xiong, Jianyin;Chen, Wenhao
建筑材料和家具的甲醛排放会对健康造成不良影响。传统的模型一般只将排放视为一个物理过程，可以用三个关键参数来表征：初始可排放浓度、扩散系数和分配系数。然而，基于物理的模型在预测化学反应（即，水解）随时间发生。在这项研究中，一个改进的机制为基础的模型相结合的化学反应过程和物理传质过程，以更准确地预测长期的排放行为。采用室内甲醛释放试验数据对复合木芯强化木地板产品暴露边缘和接缝甲醛释放量进行了1.5年的室内测试，验证了模型的有效性。结果表明，基于机理的模型很好地表征了测试材料的长期甲醛释放量。不同模型的预测结果进一步证明了该改进模型与物理模型或经验模型相比的优越性。这项研究是第一次尝试检查的可行性，包括排放建模中的化学反应项，并定量探讨其贡献的重要性，长期甲醛排放量，其中包括大部分的室内排放材料和家具。
Emissions 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.