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Measurement, time series analysis an...

University of Colorado at Boulder., Civil Engineering.

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Measurement, time series analysis and source apportionment of inorganic and organic speciated PM(2.5) air pollution in Denver .

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Measurement, time series analysis and source apportionment of inorganic and organic speciated PM(2.5) air pollution in Denver ./
作者:	Dutton, Steven James.
面頁冊數:	302 p.
附註:	Advisers: Angela Bielefeldt; Michael Hannigan.
Contained By:	Dissertation Abstracts International69-07B.
標題:	Atmospheric Sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3315803
ISBN:	9780549672746

Measurement, time series analysis and source apportionment of inorganic and organic speciated PM(2.5) air pollution in Denver .
Dutton, Steven James.

Measurement, time series analysis and source apportionment of inorganic and organic speciated PM(2.5) air pollution in Denver . - 302 p.

Advisers: Angela Bielefeldt; Michael Hannigan.

Thesis (Ph.D.)--University of Colorado at Boulder, 2008.

Particulate air pollution has demonstrated significant health effects ranging from worsening of asthma to increased rates of respiratory and cardiopulmonary mortality. These results have prompted the US-EPA to include particulate matter (PM) as one of the six criteria air pollutants regulated under the Clean Air Act. The diverse chemical make-up and physical characteristics of PM make it a challenging pollutant to characterize and regulate.

ISBN: 9780549672746Subjects--Topical Terms:

1019179
Atmospheric Sciences.

Measurement, time series analysis and source apportionment of inorganic and organic speciated PM(2.5) air pollution in Denver .
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100 1 $a Dutton, Steven James. $3 1025265
245 1 0 $a Measurement, time series analysis and source apportionment of inorganic and organic speciated PM(2.5) air pollution in Denver .
300 $a 302 p.
500 $a Advisers: Angela Bielefeldt; Michael Hannigan.
500 $a Source: Dissertation Abstracts International, Volume: 69-07, Section: B, page: 4351.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2008.
520 $a Particulate air pollution has demonstrated significant health effects ranging from worsening of asthma to increased rates of respiratory and cardiopulmonary mortality. These results have prompted the US-EPA to include particulate matter (PM) as one of the six criteria air pollutants regulated under the Clean Air Act. The diverse chemical make-up and physical characteristics of PM make it a challenging pollutant to characterize and regulate.
520 $a Particulate matter less than 2.5 microns in diameter (PM2.5) has the ability to travel deep into the lungs and therefore has been linked with some of the more significant health effects. The toxicity of any given particle is likely dependent on its chemical composition. The goal of this project has been to chemically characterize a long time series of PM 2.5 measurements collected at a receptor site in Denver to a level of detail that has not been done before on this size data set. This has involved characterization of inorganic ions using ion chromatography, total elemental and organic carbon using thermal optical transmission, and organic molecular marker species using gas chromatography-mass spectrometry. Methods have been developed to allow for daily measurement and speciation for these compounds over a six year period.
520 $a Measurement methods, novel approaches to uncertainty estimation, time series analysis, spectral and pattern analyses and source apportionment using two multivariate factor analysis models are presented. Analysis results reveal several natural and anthropogenic sources contributing to PM2.5 in Denver. The most distinguishable sources are motor vehicles and biomass combustion. This information will be used in a health effect analysis as part of a larger study called the Denver Aerosol Sources and Health (DASH) study. Such results will inform regulatory decisions and may help create a better understanding of the underlying mechanisms for the observed adverse health effects associated with PM2.5.
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790 1 0 $a Hannigan, Michael, $e advisor
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790 1 0 $a Rajagopalan, Balaji $e committee member
790 1 0 $a Ryan, Joseph $e committee member
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3315803