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Applying Statistical Methods to Air ...

Abromitis, Kari.

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Applying Statistical Methods to Air Quality and Asthma Data in Chicago Homes.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applying Statistical Methods to Air Quality and Asthma Data in Chicago Homes./
Author:	Abromitis, Kari.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	83 p.
Notes:	Source: Masters Abstracts International, Volume: 82-03.
Contained By:	Masters Abstracts International82-03.
Subject:	Architectural engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28022075
ISBN:	9798664765250

Applying Statistical Methods to Air Quality and Asthma Data in Chicago Homes.
Abromitis, Kari.

Applying Statistical Methods to Air Quality and Asthma Data in Chicago Homes. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 83 p.

Source: Masters Abstracts International, Volume: 82-03.

Thesis (M.Sc.(Eng))--Illinois Institute of Technology, 2020.

This item must not be sold to any third party vendors.

This thesis investigates one years' worth of indoor and outdoor air pollution data collected from Chicago area homes in relation to results from monthly asthma surveys taken by the residents of those homes. This examination involves the processing and calibration of this large dataset, basic statistical analysis, and analysis of asthma as related to variation of air pollution and air pollution resulting from nearby transportation sources. The data was collected as a part of the Breathe Easy project, which was funded by the HUD and involved IIT and Elevate Energy, a Chicago-based economic development organization that promotes building equality through climate action. The majority of the data processing and analysis were performed using Python and it is intended for continued use during the ongoing Breathe Easy project. The basic statistical analysis of this data led to initial investigations of how the variability of pollutants on a daily basis triggered asthma severity and symptoms. There were limited relationships observed between asthma symptoms and pollutant variability, and it was found to not be as important as overall pollutant levels. A second investigation was pursued to examine how the proximity to transportation, including Metra trains, freight trains, elevated rail trains, highways, bus lines, and busy roads, affected indoor and outdoor pollution levels at each home, as well as concurrent asthma outcomes. Similar to previous research, there was some relation for transportation closeness, particularly for highways and Metra trains, and pollution emitted that effects the health of nearby residents. In addition, homes that had greater air infiltration (via envelope airtightness measurements) had elevated levels of particulate matter - the pollutant most associated with transportation proximity. This thesis provides a basis for further investigations in this ongoing project and for similar asthma and air quality relationship studies.

ISBN: 9798664765250Subjects--Topical Terms:

3174102
Architectural engineering.
Subjects--Index Terms:

Air

Applying Statistical Methods to Air Quality and Asthma Data in Chicago Homes.
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500 $a Source: Masters Abstracts International, Volume: 82-03.
500 $a Advisor: Stephens, Brent.
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506 $a This item must not be sold to any third party vendors.
520 $a This thesis investigates one years' worth of indoor and outdoor air pollution data collected from Chicago area homes in relation to results from monthly asthma surveys taken by the residents of those homes. This examination involves the processing and calibration of this large dataset, basic statistical analysis, and analysis of asthma as related to variation of air pollution and air pollution resulting from nearby transportation sources. The data was collected as a part of the Breathe Easy project, which was funded by the HUD and involved IIT and Elevate Energy, a Chicago-based economic development organization that promotes building equality through climate action. The majority of the data processing and analysis were performed using Python and it is intended for continued use during the ongoing Breathe Easy project. The basic statistical analysis of this data led to initial investigations of how the variability of pollutants on a daily basis triggered asthma severity and symptoms. There were limited relationships observed between asthma symptoms and pollutant variability, and it was found to not be as important as overall pollutant levels. A second investigation was pursued to examine how the proximity to transportation, including Metra trains, freight trains, elevated rail trains, highways, bus lines, and busy roads, affected indoor and outdoor pollution levels at each home, as well as concurrent asthma outcomes. Similar to previous research, there was some relation for transportation closeness, particularly for highways and Metra trains, and pollution emitted that effects the health of nearby residents. In addition, homes that had greater air infiltration (via envelope airtightness measurements) had elevated levels of particulate matter - the pollutant most associated with transportation proximity. This thesis provides a basis for further investigations in this ongoing project and for similar asthma and air quality relationship studies.
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653 $a Asthma
653 $a Health
653 $a Home
653 $a Pollution
653 $a Quality
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