Prof. Xiaohong (Iris) Xu
Department of Civil and Environmental Engineering
University of Windsor, Canada
时间： 2015年9月24日 15:00-16:30
地点： 化纤楼207
报告人： Dr. Xiaohong (Iris) Xu
报告摘要：
Association between short term and long term human health effects and elevated ambient particulate matter (PM) have been well established. Emission control is costly, however human health and quality of life are priceless. Therefore, scientific evidence of the causal relationships and mechanism are essential to cost-effective regulatory strategies. In this presentation, an overview of PM health effects is presented, based on a review of several recent large scale studies. A case study of PM2.5 levels in and near two schools in London, Ontario, Canada will be presented as well.
报告人简介：
Dr. Xiaohong (Iris) Xu, P.Eng. is a Professor at the Department of Civil and Environmental Engineering, University of Windsor. She received her M.A.Sc. and Ph.D. degrees in Environmental Engineering at the University of Connecticut, USA. She then worked as a Research Fellow at the University of Michigan. She joined the University of Windsor in 2002. Her areas of research include: air quality monitoring, air quality modeling, emission control, and environmental exposure/risk assessment.
Projects：
Since joining the University of Windsor in 2002, Dr. Xu has established an Air Quality Laboratory, one of a few in Canadian Universities. The lab is equipped with stationary monitors of airborne particulate and mercury with speciation (NSERC), black carbon (CFI), SO2, CO, NOx, ozone, and portable instruments of SO2, NO2, CO, VOC, PM, and meteorological parameters (CFI). The lab has played a central role in carrying out collaborative research projects with the public and industrial sectors, and training of high qualified personals. Some major projects are listed below: 1. Exposure Assessment: Measurement and Local Scale Modeling ；2. Statistical Analysis of Errors Associated with Air Quality Monitoring and Modeling ；3. Development of Regional Scale Air Quality Models ; 4. Long term trend of air quality and source identification.
