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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-語言資料,手稿 : 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.
面頁冊數:	1 online resource (137 pages)
附註:	Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:	Dissertations Abstracts International82-08B.
標題:	Atmospheric sciences. -
電子資源:	click for full text (PQDT)
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. - 1 online resource (137 pages)

Source: Dissertations Abstracts International, Volume: 82-08, Section: B.

Thesis (Ph.D.)--Emory University, 2020.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798698590309Subjects--Topical Terms:

1179392
Atmospheric sciences.
Subjects--Index Terms:

AODIndex Terms--Genre/Form:

554714
Electronic books.

Assessment of High-Resolution PM2.5 Exposures and Changes in PM2.5 Cardiorespiratory Disease Associations Over Time.
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