住宅室内温湿度及颗粒物浓度对降尘中PAEs浓度分布的耦合影响

Combined effects of indoor temperature,humidity and particulate concentration on PAEs concentration distribution in dustfall

深入了解室内邻苯二甲酸酯(PAEs)化合物浓度分布及其影响因素对污染控制具有重要意义。本研究对266户上海住宅进行了室内降尘采集,对PAEs的种类及含量进行了测试分析,采用逻辑回归方法分析了室内温度、湿度和颗粒物浓度与3种典型PAEs浓度分布的关联性,揭示了环境参数对PAEs浓度分布的相乘交互作用和影响。结果显示:温度与邻苯二甲酸二(2-乙基)己酯(DEHP)呈显著负相关性,湿度与邻苯二甲酸二异丁酯(DiBP)呈显著负相关性;将温度、颗粒物浓度作为混淆因素调整后,湿度和DEHP呈显著正相关性;在低温和低湿度条件下,颗粒物浓度与DEHP、高分子量PAEs(HMW-PAEs)、总PAEs(TPAEs)的浓度呈显著负相关性;温度和颗粒物浓度对DEHP浓度分布存在正向相乘交互作用。因此,室内温度、湿度和颗粒物浓度均在不同程度上影响PAEs浓度分布,PAEs浓度的变化是由多个影响因素共同作用引起的。

It is of great significance to understand the concentration distribution of indoor phthalate acid esters(PAEs)compounds and their influencing factors for pollution control.In this study,indoor dust samples are collected from 266 residential buildings in Shanghai,and the types and contents of PAEs are tested and analysed.The correlations between indoor temperature,humidity,particulate concentration and the concentration distribution of three typical PAEs are analysed by the logistic regression method.The multiplicative interaction between environmental parameters and PAEs concentration distribution and their influences are revealed.The results show that there is a significant negative correlation between temperature and Bis(2-ethylhexyl)phthalate(DEHP),and a significant negative correlation between humidity and diisobutyl phthalate(DiBP).After adjusting temperature and particle concentration as confusion factors,there is a significant positive correlation between humidity and DEHP.In the environment with low temperature and low humidity,there is a significant negative correlation between particulate concentration and DEHP,high molecular weight PAEs(HMW-PAEs)and total PAEs(TPAEs).Temperature and particulate concentration have positive multiple interactions on DEHP concentration distribution.Therefore,indoor temperature,humidity and particulate concentration all affect the PAEs concentration distribution in varying degrees,and the change in PAEs concentration is caused by the combined effect of multiple factors.