Shelly L . Miller | University of Colorado, Boulder (original) (raw)
Papers by Shelly L . Miller
Atmospheric Environment, Jun 1, 2014
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Atmospheric Chemistry and Physics, Jun 15, 2016
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Health security, Aug 1, 2016
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Environmental Science & Technology, Oct 24, 2012
To evaluate the utility and consistency of different speciation data sets in source apportionment... more To evaluate the utility and consistency of different speciation data sets in source apportionment of PM(2.5), positive matrix factorization (PMF) coupled with a bootstrap technique for uncertainty assessment was applied to four different 1-year data sets composed of bulk species, bulk species and water-soluble elements (WSE), bulk species and organic molecular markers (OMM), and all species. The five factors resolved by using only the bulk species best reproduced the observed concentrations of PM(2.5) components. Combining WSE with bulk species as PMF inputs also produced five factors. Three of them were linked to soil, road dust, and processed dust, and together contributed 26.0% of reconstructed PM(2.5) mass. A 7-factor PMF solution was identified using speciated OMM and bulk species. The EC/sterane and summertime/selective aliphatic factors had the highest contributions to EC (39.0%) and OC (53.8%), respectively. The nine factors resolved by including all species as input data are consistent with those from the previous two solutions (WSE and bulk species, OMM and bulk species) in both factor profiles and contributions (r = 0.88-1.00). The comparisons across different solutions indicate that the selection of input data set may depend on the PM components or sources of interest for specific source-oriented health study.
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ISEE Conference Abstracts, 2013
Background: Relatively few studies have specifically evaluated the acute health impacts of coarse... more Background: Relatively few studies have specifically evaluated the acute health impacts of coarse particulate matter (PM). Coarse particles are capable of penetrating the thoracic region of the lun...
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Atmosphere, 2018
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American Journal of Infection Control, 2017
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Building and Environment, 2016
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Environmental Health, 2016
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Indoor Air, 2016
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AIHce 1997 - Taking Responsibility...Building Tomorrow's Profession Papers, 1999
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D18. AIR POLLUTION AND CARDIOVASCULAR DISEASE, 2011
University of Washington, Seattle, WA, University of Colorado, Boulder, Colorado State University... more University of Washington, Seattle, WA, University of Colorado, Boulder, Colorado State University, Fort Collins, Fort Collins, Portland 1 2 3 ... State University, Portland, US Environmental Protection Agency, RTP, University of Colorado, Boulder, Boulder, CO, University of 5 6 7
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Environmental science & technology, Jan 2, 2015
Flood-damaged homes typically have elevated microbial loads, and their occupants have an increase... more Flood-damaged homes typically have elevated microbial loads, and their occupants have an increased incidence of allergies, asthma, and other respiratory ailments, yet the microbial communities in these homes remain under-studied. Using culture-independent approaches, we characterized bacterial and fungal communities in homes in Boulder, Colorado, USA 2-3 months after the historic September, 2013 flooding event. We collected passive air samples from basements in 50 homes (36 flood-damaged, 14 non-flooded), and we sequenced the bacterial 16S rRNA gene (V4-V5 region) and the fungal ITS1 region from these samples for community analyses. Quantitative PCR was used to estimate the abundances of bacteria and fungi in the passive air samples. Results indicate significant differences in bacterial and fungal community composition between flooded and non-flooded homes. Fungal abundances were estimated to be three times higher in flooded, relative to non-flooded homes, but there were no signific...
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Journal of the Air & Waste Management Association, 2001
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Journal of the Air & Waste Management Association, 2013
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Journal of the Air & Waste Management Association, 1995
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Journal of Aerosol Science, 2005
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Environmental Science & Technology, 2012
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Atmospheric Environment, 2014
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Atmospheric Environment, Jun 1, 2014
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Atmospheric Chemistry and Physics, Jun 15, 2016
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Health security, Aug 1, 2016
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Environmental Science & Technology, Oct 24, 2012
To evaluate the utility and consistency of different speciation data sets in source apportionment... more To evaluate the utility and consistency of different speciation data sets in source apportionment of PM(2.5), positive matrix factorization (PMF) coupled with a bootstrap technique for uncertainty assessment was applied to four different 1-year data sets composed of bulk species, bulk species and water-soluble elements (WSE), bulk species and organic molecular markers (OMM), and all species. The five factors resolved by using only the bulk species best reproduced the observed concentrations of PM(2.5) components. Combining WSE with bulk species as PMF inputs also produced five factors. Three of them were linked to soil, road dust, and processed dust, and together contributed 26.0% of reconstructed PM(2.5) mass. A 7-factor PMF solution was identified using speciated OMM and bulk species. The EC/sterane and summertime/selective aliphatic factors had the highest contributions to EC (39.0%) and OC (53.8%), respectively. The nine factors resolved by including all species as input data are consistent with those from the previous two solutions (WSE and bulk species, OMM and bulk species) in both factor profiles and contributions (r = 0.88-1.00). The comparisons across different solutions indicate that the selection of input data set may depend on the PM components or sources of interest for specific source-oriented health study.
Bookmarks Related papers MentionsView impact
ISEE Conference Abstracts, 2013
Background: Relatively few studies have specifically evaluated the acute health impacts of coarse... more Background: Relatively few studies have specifically evaluated the acute health impacts of coarse particulate matter (PM). Coarse particles are capable of penetrating the thoracic region of the lun...
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Atmosphere, 2018
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American Journal of Infection Control, 2017
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Building and Environment, 2016
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Environmental Health, 2016
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Indoor Air, 2016
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AIHce 1997 - Taking Responsibility...Building Tomorrow's Profession Papers, 1999
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D18. AIR POLLUTION AND CARDIOVASCULAR DISEASE, 2011
University of Washington, Seattle, WA, University of Colorado, Boulder, Colorado State University... more University of Washington, Seattle, WA, University of Colorado, Boulder, Colorado State University, Fort Collins, Fort Collins, Portland 1 2 3 ... State University, Portland, US Environmental Protection Agency, RTP, University of Colorado, Boulder, Boulder, CO, University of 5 6 7
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Environmental science & technology, Jan 2, 2015
Flood-damaged homes typically have elevated microbial loads, and their occupants have an increase... more Flood-damaged homes typically have elevated microbial loads, and their occupants have an increased incidence of allergies, asthma, and other respiratory ailments, yet the microbial communities in these homes remain under-studied. Using culture-independent approaches, we characterized bacterial and fungal communities in homes in Boulder, Colorado, USA 2-3 months after the historic September, 2013 flooding event. We collected passive air samples from basements in 50 homes (36 flood-damaged, 14 non-flooded), and we sequenced the bacterial 16S rRNA gene (V4-V5 region) and the fungal ITS1 region from these samples for community analyses. Quantitative PCR was used to estimate the abundances of bacteria and fungi in the passive air samples. Results indicate significant differences in bacterial and fungal community composition between flooded and non-flooded homes. Fungal abundances were estimated to be three times higher in flooded, relative to non-flooded homes, but there were no signific...
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Journal of the Air & Waste Management Association, 2001
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Journal of the Air & Waste Management Association, 2013
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Journal of the Air & Waste Management Association, 1995
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Journal of Aerosol Science, 2005
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Environmental Science & Technology, 2012
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Atmospheric Environment, 2014
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