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Assessment of High-Resolution PM2.5 ...
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Bi, Jianzhao.
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Assessment of High-Resolution PM2.5 Exposures and Changes in PM2.5 Cardiorespiratory Disease Associations Over Time.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Assessment of High-Resolution PM2.5 Exposures and Changes in PM2.5 Cardiorespiratory Disease Associations Over Time./
作者:
Bi, Jianzhao.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
137 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:
Dissertations Abstracts International82-08B.
標題:
Environmental health. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28287945
ISBN:
9798698590309
Assessment of High-Resolution PM2.5 Exposures and Changes in PM2.5 Cardiorespiratory Disease Associations Over Time.
Bi, Jianzhao.
Assessment of High-Resolution PM2.5 Exposures and Changes in PM2.5 Cardiorespiratory Disease Associations Over Time.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 137 p.
Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Thesis (Ph.D.)--Emory University, 2020.
.
Fine particulate matter with aerodynamic diameters less than 2.5 micrometers (PM2.5) is one of the six criteria air pollutants defined by the National Ambient Air Quality Standards. Numerous epidemiological studies have shown the associations between long-term and short-term exposure to PM2.5 and increased risks of cardiovascular and respiratory diseases. Understanding the accurate distribution of ground PM2.5 concentrations is of growing importance for studying the acute and chronic health effects of PM2.5. Measurements from satellites (aerosol optical depth, AOD) and low-cost air pollution sensors have been increasingly utilized in improving the estimation of ground PM2.5 concentrations due to their extensive spatiotemporal coverage. However, an important issue influencing the effective use of satellite AOD retrievals is the large proportion of non-random missing data caused by snow and cloud cover. This study examined the impacts of snow and cloud cover on AOD and PM2.5 and made full-coverage PM2.5 predictions with the consideration of these impacts. In addition, little has been done to incorporate low-cost sensor PM2.5 measurements in large-scale PM2.5 exposure modeling. This study conducted spatially varying calibration and developed a down-weighting strategy to optimize the use of low-cost sensor data in PM2.5 estimation. Finally, although PM2.5 is a complex mixture composed of different chemical components, it is commonly treated as a single pollutant to assess its health effects given that ambient air regulations focus on PM2.5 (and not its components). This study examined temporal changes in the risk of emergency department visits for cardiovascular diseases and asthma associated with short-term increases in ambient PM2.5 concentrations. By generating the improved PM2.5 exposures and examining the contribution of PM2.5 components to its overall toxicity, this study sought to broaden the application of satellite and low-cost sensor observations to PM2.5 exposure assessment and to provide new information for the health effects of PM2.5 mixture.
ISBN: 9798698590309Subjects--Topical Terms:
543032
Environmental health.
Subjects--Index Terms:
AOD
Assessment of High-Resolution PM2.5 Exposures and Changes in PM2.5 Cardiorespiratory Disease Associations Over Time.
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Fine particulate matter with aerodynamic diameters less than 2.5 micrometers (PM2.5) is one of the six criteria air pollutants defined by the National Ambient Air Quality Standards. Numerous epidemiological studies have shown the associations between long-term and short-term exposure to PM2.5 and increased risks of cardiovascular and respiratory diseases. Understanding the accurate distribution of ground PM2.5 concentrations is of growing importance for studying the acute and chronic health effects of PM2.5. Measurements from satellites (aerosol optical depth, AOD) and low-cost air pollution sensors have been increasingly utilized in improving the estimation of ground PM2.5 concentrations due to their extensive spatiotemporal coverage. However, an important issue influencing the effective use of satellite AOD retrievals is the large proportion of non-random missing data caused by snow and cloud cover. This study examined the impacts of snow and cloud cover on AOD and PM2.5 and made full-coverage PM2.5 predictions with the consideration of these impacts. In addition, little has been done to incorporate low-cost sensor PM2.5 measurements in large-scale PM2.5 exposure modeling. This study conducted spatially varying calibration and developed a down-weighting strategy to optimize the use of low-cost sensor data in PM2.5 estimation. Finally, although PM2.5 is a complex mixture composed of different chemical components, it is commonly treated as a single pollutant to assess its health effects given that ambient air regulations focus on PM2.5 (and not its components). This study examined temporal changes in the risk of emergency department visits for cardiovascular diseases and asthma associated with short-term increases in ambient PM2.5 concentrations. By generating the improved PM2.5 exposures and examining the contribution of PM2.5 components to its overall toxicity, this study sought to broaden the application of satellite and low-cost sensor observations to PM2.5 exposure assessment and to provide new information for the health effects of PM2.5 mixture.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28287945
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