@article{
 title = {Identifying Priority Pollutant Sources: Apportioning Air Toxics Risks using Positive Matrix Factorization},
 type = {article},
 year = {2009},
 identifiers = {[object Object]},
 pages = {9439-9444},
 volume = {43},
 month = {12},
 id = {a08f2a1a-da10-37d6-8cd5-f186ebcfa41c},
 created = {2014-10-08T16:28:18.000Z},
 file_attached = {false},
 profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},
 group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},
 last_modified = {2017-03-14T17:32:24.802Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Logue.est.2009a},
 source_type = {article},
 private_publication = {false},
 abstract = {Hazardous air pollutants or air toxics are pollutants that are known or
suspected to cause serious health effects. This paper presents a
methodology to quantify source contributions to air toxics health
risks. First, a linear, no-threshold risk model was used to identify
gas-phase organic air toxics that contribute significantly to cancer
risks. Next, Positive Matrix Factorization (PMF) was performed on high
time-resolved measurements of these air toxics, and the additive cancer
risks associated with each factor was determined. Finally, the PMF
factors were linked to sources and source classes (mobile, nonmobile,
secondary/background) using a combination of meteorological data and
comparisons with published source profiles. The analysis was performed
using data from three sites in Pittsburgh, Pennsylvania: a downtown
site near a heavily traveled bus route, a residential site adjacent to
a heavily industrialized area, and an urban background site. At all
three sites emissions from nonmobile sources were the dominant
contributors to the cancer risks from air toxics included in the PMF
model, including benzene and other air toxics often associated with
mobile source emissions. Emissions from both large industrial sources,
such as coke works and chemical facilities, and smaller point sources,
such as dry cleaners, contributed significantly to the cancer risks at
all sites. This method can provide insight for decision makers to
prioritize sources for risk reduction.},
 bibtype = {article},
 author = {Logue, Jennifer M and Small, Mitchell J and Robinson, Allen L},
 journal = {ENVIRONMENTAL SCIENCE & TECHNOLOGY},
 number = {24}
}

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This paper presents a\nmethodology to quantify source contributions to air toxics health\nrisks. First, a linear, no-threshold risk model was used to identify\ngas-phase organic air toxics that contribute significantly to cancer\nrisks. Next, Positive Matrix Factorization (PMF) was performed on high\ntime-resolved measurements of these air toxics, and the additive cancer\nrisks associated with each factor was determined. Finally, the PMF\nfactors were linked to sources and source classes (mobile, nonmobile,\nsecondary/background) using a combination of meteorological data and\ncomparisons with published source profiles. The analysis was performed\nusing data from three sites in Pittsburgh, Pennsylvania: a downtown\nsite near a heavily traveled bus route, a residential site adjacent to\na heavily industrialized area, and an urban background site. At all\nthree sites emissions from nonmobile sources were the dominant\ncontributors to the cancer risks from air toxics included in the PMF\nmodel, including benzene and other air toxics often associated with\nmobile source emissions. Emissions from both large industrial sources,\nsuch as coke works and chemical facilities, and smaller point sources,\nsuch as dry cleaners, contributed significantly to the cancer risks at\nall sites. This method can provide insight for decision makers to\nprioritize sources for risk reduction.","bibtype":"article","author":"Logue, Jennifer M and Small, Mitchell J and Robinson, Allen L","journal":"ENVIRONMENTAL SCIENCE & TECHNOLOGY","number":"24","bibtex":"@article{\n title = {Identifying Priority Pollutant Sources: Apportioning Air Toxics Risks using Positive Matrix Factorization},\n type = {article},\n year = {2009},\n identifiers = {[object Object]},\n pages = {9439-9444},\n volume = {43},\n month = {12},\n id = {a08f2a1a-da10-37d6-8cd5-f186ebcfa41c},\n created = {2014-10-08T16:28:18.000Z},\n file_attached = {false},\n profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},\n group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},\n last_modified = {2017-03-14T17:32:24.802Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Logue.est.2009a},\n source_type = {article},\n private_publication = {false},\n abstract = {Hazardous air pollutants or air toxics are pollutants that are known or\nsuspected to cause serious health effects. 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At all\nthree sites emissions from nonmobile sources were the dominant\ncontributors to the cancer risks from air toxics included in the PMF\nmodel, including benzene and other air toxics often associated with\nmobile source emissions. Emissions from both large industrial sources,\nsuch as coke works and chemical facilities, and smaller point sources,\nsuch as dry cleaners, contributed significantly to the cancer risks at\nall sites. 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