Satellite-based PM2.5 Exposure Estimation and Health Impacts over China
dc.contributor.author | Liu, Ming | |
dc.date.accessioned | 2020-08-27T16:08:07Z | |
dc.date.available | 2020-08-27T16:08:07Z | |
dc.date.issued | 2020-08-27 | |
dc.date.submitted | 2020-08-18 | |
dc.description.abstract | Exposure to suspended fine particulate matter (PM2.5) has been proven to adversely impact public health through increased risk of cardiovascular and respiratory mortality. Assessing health impacts of PM2.5 and its long-term variations requires accurate estimates of large-scale exposure data. Such data include mass concentration and particle size, the latter of which may be an effect modifier on PM2.5 attributable health risks. The availability of these exposure data, however, is limited by sparse ground-level monitoring networks. In this dissertation, an optical-mass relationship was first developed based on aerosol microphysical characteristics for ground-level PM2.5 retrieval. This method quantifies PM2.5 mass concentrations with a theoretical basis, which can simultaneously estimate large-scale particle size. The results demonstrate the effectiveness and applicability of the proposed method and reveal the spatiotemporal distribution of PM2.5 over China. To explore the spatial variability and population exposure, particle radii of PM2.5 are then derived using the developed theoretical relationship along with a statistical model for a better performance. The findings reveal the prevalence of exposure to small particles (i.e. PM1), identify the need for in-situ measurements of particle size, and motivate further research to investigate the effects of particle size on health outcomes. Finally, the long-term impacts of PM2.5 on health and environmental inequality are assessed by using the satellite-retrieved PM2.5 estimates over China during 2005-2017. Premature mortality attributable to PM2.5 exposure increased by 31% from 2005 to 2017. For some causes of death, the burden fell disproportionately on provinces with low-to-middle GDP per capita. As a whole, this work contributes to bridging satellite remote sensing and long-term exposure studies and sheds light on an ongoing need to understand the effects of PM2.5, including both concentrations and other particle characteristics, on human health. | en |
dc.identifier.uri | http://hdl.handle.net/10012/16170 | |
dc.language.iso | en | en |
dc.pending | false | |
dc.publisher | University of Waterloo | en |
dc.subject | PM2.5 | en |
dc.subject | satellite remote sensing | en |
dc.subject | premature mortality | en |
dc.subject | environmental health inequality | en |
dc.subject | exposure | en |
dc.title | Satellite-based PM2.5 Exposure Estimation and Health Impacts over China | en |
dc.type | Doctoral Thesis | en |
uws-etd.degree | Doctor of Philosophy | en |
uws-etd.degree.department | Geography and Environmental Management | en |
uws-etd.degree.discipline | Geography | en |
uws-etd.degree.grantor | University of Waterloo | en |
uws.comment.hidden | To whom it may concern, Thanks for your time and effort on this review. I have addressed the formatting comments you suggested. I am writing this to kindly ask if I could have a higher priority to processing thesis? I got a position in a university in China and I am in China already. The time difference between Canada and China is 12 hours. Because of this, I may not respond your formatting comments in time. Any formatting issues may have to be addressed using entire one business day. However, I have to go through all these thesis processing by the end of August to meet the deadline of graduation in this summer, so that I could get my diploma as soon as possible to get my job. I noticed that there are still some steps needing to do by department, but there are only three working days left. Therefore, I earnestly hope that you could give me a chance to process my thesis with high priority. I will keep being contacted via email everyday anytime before 12pm (Toronto time). Thanks in advance and hope you have a great day. Warm regards, Ming | en |
uws.contributor.advisor | Li, Jonathan | |
uws.contributor.advisor | Saari, Rebecca | |
uws.contributor.affiliation1 | Faculty of Environment | en |
uws.peerReviewStatus | Unreviewed | en |
uws.published.city | Waterloo | en |
uws.published.country | Canada | en |
uws.published.province | Ontario | en |
uws.scholarLevel | Graduate | en |
uws.typeOfResource | Text | en |