Department of Chemistry
Real-time Airborne Particulate Matter Pollution Source Identification
Airborne particulate matter (PM) can penetrate deep into our respiratory system, eliciting adverse health effects. World Health Organization lists PM as the largest environmental cause of premature death worldwide and the 7th leading risk factor for global deaths. PM also scatters sunlight, thereby modulating absorption of solar irradiation and water cycle, and degrading visibility. Measurement data are essential to monitor the quality of the air we breathe in, track origins of a myriad of pollution sources, determine the local vs regional spatial nature, and quantify the temporal variations of contributing sources. The quantitative source identification outcomes derived from the measurements form a scientific foundation for developing control policies at local and regional levels.
The goal of this project is to achieve robust real-time PM source identification and quantification that are suitable for routine 24-7 operation. Specifically, it aims to develop and demonstrate the robust implementation of an array of instruments to monitor major components (i.e., water-soluble ions, elemental and organic carbon) and source-indicative PM components continuously and in real time; and subsequently develop measurement-based statistical and numerical modeling tools for estimating the quantities of PM pollution sources in real time. This project will provide data and tools to enable more effective and dynamic management of both long-term air quality and heavy pollution episodes, thereby helping to minimize the impact of PM pollution on public health.
PC: YU Jianzhen
Co-PIs: Jimmy FUNG (ENVR/MATH), Alexis LAU (ENVR/CIVL)
Brent WILLIAMS (U. of Washington at St. Louis)
- Associate Head and Chair Professor, Division of Environment and Sustainability
- Chair Professor, Department of Chemistry
- Director of Atmospheric Research Center
科研发现
化学系
|
HKUST Researchers Develop a Novel Raman…
It is challenging to analyze proteins at low concentrations, especially for those in a mixture of various conformations such as intrinsically disordered proteins (IDPs)...
化学系
|
科大研究人员发现戴口罩或能减低与空气中致癌物有关的癌症风险
香港科技大学的研究人员最近证实,佩戴口罩除了能保护人们避免吸入带有病原体的飞沫外,亦能过滤空气中的致癌化合物...