School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
J Hazard Mater. 2022 May 15;430:128422. doi: 10.1016/j.jhazmat.2022.128422. Epub 2022 Feb 4.
The ubiquity of formaldehyde emitted in indoor and in-cabin environments can adversely affect health. This study proposes a novel full-range C-history method to rapidly, accurately and simultaneously determine the three key parameters (initial emittable concentration, partition coefficient, diffusion coefficient) that characterize the emission behaviors of formaldehyde from indoor building and vehicle cabin materials, by means of hybrid optimization. The key parameters of formaldehyde emissions from six building materials and five vehicle cabin materials at various temperatures, were determined. Independent experiments and sensitivity analysis verify the effectiveness and robustness of the method. We also demonstrate that the determined key parameters can be used for predicting multi-source emissions from different material combinations that are widely encountered in realistic indoor and in-cabin environments. Furthermore, based on a constructed vehicle cabin and the determined key parameters, we make a first attempt to estimate the human carcinogenic potential (HCP) of formaldehyde for taxi drivers and passengers at two temperatures (25 °C, 34 °C). The HCP for taxi drivers at both temperatures exceeds 10 cases, indicating relatively high potential risk. This study should be helpful for pre-evaluation of indoor and in-cabin air quality, and can assist designers in selecting appropriate materials to achieve effective source control.
室内和舱内环境中释放的甲醛无处不在,可能会对健康产生不利影响。本研究提出了一种新颖的全范围 C 历史法,通过混合优化,快速、准确、同时确定表征室内建筑和车辆舱材料甲醛排放行为的三个关键参数(初始可散发浓度、分配系数、扩散系数)。确定了六种建筑材料和五种车辆舱材料在不同温度下的甲醛排放关键参数。独立实验和敏感性分析验证了该方法的有效性和鲁棒性。我们还证明,所确定的关键参数可用于预测在实际室内和舱内环境中广泛遇到的不同材料组合的多源排放。此外,基于构建的车辆舱和确定的关键参数,我们首次尝试在两个温度(25°C、34°C)下估算甲醛对出租车司机和乘客的人类致癌潜力(HCP)。两个温度下出租车司机的 HCP 超过 10 例,表明存在相对较高的潜在风险。本研究有助于对室内和舱内空气质量进行预评估,并可为设计师选择合适的材料以实现有效的源头控制提供帮助。