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Activity Number:
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70
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Type:
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Contributed
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Date/Time:
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Monday, August 12, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics & the Environment*
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| Abstract - #301559 |
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Title:
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An Application of Functional Data Analysis: Associations Between Particulate Matter and Daily Mortality after Windstorms and Still-Air Inversions in the Paso del Norte Airshed
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Author(s):
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Julia Bader*+ and Joan Staniswalis and Norris Parks and Yolanda Munoz Maldonado
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Affiliation(s):
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University of Texas, El Paso and University of Texas, El Paso and University of Texas, El Paso and Texas A&M University
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Address:
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Bell Hall 137, UTEP, El Paso, Texas, 79968, USA
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Keywords:
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functional data analysis ; PM10 ; principal component analysis
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Abstract:
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An analysis of hourly measurements of PM10 (air pollutant particle concentrations, particles less than 10 microns aerodynamic diameter) using functional data analysis is used to detect associations with daily mortality due to non-accidental causes in the Paso del Norte airshed from 1992 to 1995. Other air pollutants are also present, so PM10 serves only as a surrogate variable for the total air pollutant mix. When the usual daily mean PM10 is used to summarize the 24 hourly measurements, information about patterns of daily exposure are lost and day-to-day variations are not fully captured. Hourly patterns of PM10 may be linked to different sources of pollution, atmospheric conditions, or delivered exposures. Principal component analysis of daily PM10 curves yields summary statistics which capture the hourly patterns of exposure. A significant association between PM10 and daily mortality was found: a 10 ug/m3 increase above the local mean in the magnitude of the 8pm PM10 peak is significantly associated with an increase of 0.8% in the average mortality on the succeeding third day. PM10 concentrations associated with windstorms did not show any significant association with mortality.
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