School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710054, China.
School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710054, China.
J Hazard Mater. 2021 Aug 15;416:125827. doi: 10.1016/j.jhazmat.2021.125827. Epub 2021 Apr 9.
Fabrics are widely distributed in residential buildings. Due to their highly porous structures and large specific surface areas, they have strong adsorption properties for volatile organic compounds (VOCs). The secondary source effect that is induced by their desorption can aggravate indoor air pollution and prolong the pollution period. The partition coefficient, which is a characteristic parameter of VOC mass transfer, is sensitive to variations in environmental parameters. However, due to the inherent differences between fabrics and other indoor porous building materials, the relevant research conclusions on the VOC mass transfer parameters of building materials cannot be applied. In addition, the effects of temperature and humidity on the partitioning behavior of VOCs on fabrics have rarely been quantitatively analyzed. Based on an analysis of the porous structure and corresponding mass transfer process of fabrics, a novel prediction model of the fabric partition coefficient under the coupling effect of temperature and humidity is proposed. Three types of indoor typical fabrics and primary water-soluble VOC (formaldehyde) and water-insoluble VOC (benzene, toluene) are examined experimentally via hygroscopicity tests and environmental chamber tests. The experimental results demonstrate the reliability of the proposed model for a variety of conditions.
织物在民用建筑中广泛分布。由于其具有高度多孔的结构和较大的比表面积，因此对挥发性有机化合物（VOCs）具有很强的吸附性能。其解吸引起的二次源效应会加剧室内空气污染并延长污染期。分配系数是 VOC 质量传递的特征参数，对环境参数的变化很敏感。但是，由于织物与其他室内多孔建筑材料之间存在固有差异，因此不能将有关建筑材料 VOC 质量传递参数的相关研究结论应用于织物。此外，温度和湿度对 VOC 在织物上分配行为的影响很少被定量分析。基于对织物多孔结构及其相应质量传递过程的分析，提出了一种新的在温度和湿度耦合作用下预测织物分配系数的模型。通过吸湿试验和环境舱试验，对三种室内典型织物以及水溶性 VOC（甲醛）和非水溶性 VOC（苯、甲苯）进行了实验研究。实验结果表明，该模型在各种条件下都具有可靠性。
