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Sci Total Environ


Title:Determination of the key parameters of VOCs emitted from multi-layer leather furniture using a region traversal approach
Author(s):Xu B; Wang Y; Guo D; Gao Y; Liu W; Wu W; Sun L; Yu X; Zhao J; Xiong J;
Address:"School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China. Electronic address: 16619815459@163.com. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China; Beijing Vehicle Emissions Management Affairs Center, Beijing 100176, China. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China. Beijing Vehicle Emissions Management Affairs Center, Beijing 100176, China. Beijing Products Quality Supervision and Inspection Institute, Beijing 101776, China. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China. Electronic address: xiongjy@bit.edu.cn"
Journal Title:Sci Total Environ
Year:2022
Volume:20220115
Issue:
Page Number:153126 -
DOI: 10.1016/j.scitotenv.2022.153126
ISSN/ISBN:1879-1026 (Electronic) 0048-9697 (Linking)
Abstract:"Volatile organic compounds (VOCs) emitted from indoor materials and products are one of the main factors affecting air quality and human health. Compared with building materials and wooden furniture, leather furniture has a more complex internal structure and uneven emission surfaces. The market share of leather furniture is relatively high, while investigation on this kind of furniture is relatively rare. In this study, we develop a region traversal method to measure the three key parameters of VOC emissions from typical two-layer leather furniture, i.e., the initial emittable concentration, the diffusion coefficient, and the partition coefficient. A series of experiments examining VOC emissions from a leather sofa under different conditions, were carried out in a 1 m(3) chamber. This method locks the upper and lower limits of an optimal solution through loop calculation in parameter intervals, and demonstrates high accuracy, efficiency and robustness. The good agreement (R(2) > 0.95) between model predictions and experimental data confirms the reliability of this method. In addition, the influence of temperature and air exchange rate on the key parameters is explored. Results indicate that, increasing the temperature leads to an increase in D(m) and a decrease in K, and that air exchange rate does not affect the key parameters, which is consistent with physical principles. The region traversal method is further applied to analyze the emission scenarios for other furniture, which is very helpful for indoor air quality pre-evaluation"
Keywords:"*Air Pollutants/analysis *Air Pollution, Indoor/analysis Environmental Monitoring/methods Humans Interior Design and Furnishings Reproducibility of Results *Volatile Organic Compounds/analysis Environmental factors Indoor air quality Key parameters Leathe;"
Notes:"MedlineXu, Baoping Wang, Yuanzheng Guo, Dongdong Gao, Ying Liu, Wei Wu, Wei Sun, Lihua Yu, Xuefei Zhao, Jing Xiong, Jianyin eng Netherlands 2022/01/19 Sci Total Environ. 2022 May 1; 819:153126. doi: 10.1016/j.scitotenv.2022.153126. Epub 2022 Jan 15"

 
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