我国面临着严峻的室内半挥发性有机物（SVOC）污染问题。SVOC极易被悬浮颗粒物吸附，室内空气中SVOC的动态气粒分配过程对室内SVOC的传输特性及综合治理有重要影响。室内空气中SVOC浓度极低、悬浮颗粒物成分复杂，对室内SVOC气粒分配过程的研究难度颇大，目前对SVOC气粒分配机理的认识不清晰，相关特性参数资料匮乏。本项目拟采取实验研究与理论分析相结合的方式，设计搭建一套可准确调控SVOC气粒分配过程关键影响因素的圆管状实验舱测试系统，揭示室内SVOC动态气粒分配过程在颗粒物表面及内部的微观机理和动力学特性；发展室内SVOC动态气粒分配特性参数的准确测定方法，克服已有方法误差大的不足；探索温湿度、颗粒物成分和粒径分布等因素对室内SVOC动态气粒分配特性的影响机理和规律。研究成果可为定量表征室内SVOC动态气粒分配过程、发展室内SVOC污染预评估软件和综合治理手段提供理论依据和基础数据。

China is facing severe problem of semi-volatile organic compound (SVOC) pollutions in indoor environments. Because SVOC partitions strongly to suspended particulate matters, the dynamic partitioning process between gas-phase SVOC and suspended particulate matters (i.e., dynamic gas-particle partitioning) may significantly affect the transport of, human exposure to, and effective control of indoor SVOC pollutions. It is very difficult to investigate the SVOC gas-particle partitioning process because indoor gas-phase SVOC concentrations are always extremely low and the components of indoor suspended particulate matters are quite complex. It is lack of clear cognition on the mechanisms and accurate methods for measuring characteristic parameters of the gas-particle partitioning of SVOC in the indoor air. Therefore, this project plans to combine experiments with theoretical analysis, design and establish an experimental system based on a stainless steel tube chamber. All of the factors affecting the SVOC gas-particle partitioning process can be accurately adjusted and controlled in this system. Based on this experimental system, this project will: 1) reveal the microscopic mechanisms and dynamic characteristics of the dynamic gas-particle partitioning of indoor SVOC, 2) develop novel methods for accurately measuring the characteristic parameters of the dynamic gas-particle partitioning of indoor SVOC, and 3) explore the influence mechanisms and rules of temperature, humidity, particle component, particle size distribution, and other potential factors on the characteristics of the dynamic gas-particle partitioning of indoor SVOC. This research will provide important theoretical basis and data base for the characterization of the dynamic gas-particle partitioning process of SVOC in the indoor air and the development of comprehensive control methods and pre-evaluation software for indoor SVOC pollutions.