Cited by 27Atmospheric chemistry and aerosolsAir Quality and Health ImpactsToxic Organic Pollutants Impact

Intra-urban spatial variability of PM2.5-bound carbonaceous components

Open access
Xie, Mingjie, Coons, Teresa L., Dutton, Steven J., Milford, Jana B., Miller, Shelly L., Peel, Jennifer L., Vedal, Sverre, Hannigan, Michael P.·2012·Atmospheric Environment

Abstract

The Denver Aerosol Sources and Health (DASH) study was designed to evaluate associations between PM 2.5 species and sources and adverse human health effects. The DASH study generated a five-year (2003-2007) time series of daily speciated PM 2.5 concentration measurements from a single, special-purpose monitoring site in Denver, CO. To evaluate the ability of this site to adequately represent the short term temporal variability of PM 2.5 concentrations in the five county Denver metropolitan area, a one year supplemental set of PM 2.5 samples was collected every sixth day at the original DASH monitoring site and concurrently at three additional sites. Two of the four sites, including the original DASH site, were located in residential areas at least 1.9 km from interstate highways. The other two sites were located within 0.3 km of interstate highways. Concentrations of elemental carbon (EC), organic carbon (OC), and 58 organic molecular markers were measured at each site. To assess spatial variability, site pairs were compared using the Pearson correlation coefficient (r) and coefficient of divergence (COD), a statistic that provides information on the degree of uniformity between monitoring sites. Biweekly co-located samples collected from July 2004 to September 2005 were also analyzed and used to estimate the uncertainty associated with sampling and analytical measurement for each species. In general, the two near-highway sites exhibited higher concentrations of EC, OC, polycyclic aromatic hydrocarbons (PAHs), and steranes than did the more residential sites. Lower spatial heterogeneity based on r and COD was inferred for all carbonaceous species after considering their divergence and lack of perfect correlations in co-located samples. Ratio-ratio plots combined with available gasoline- and diesel-powered motor vehicle emissions profiles for the region suggested a greater impact to high molecular weight (HMW) PAHs from diesel-powered vehicles at the near-highway sites and a more uniformly distributed impact to ambient hopanes from gasoline-powered motor vehicles at all four sites.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.atmosenv.2012.05.041

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The major components of PAHs in Seoul and Denver were similar, and average winter PAH levels were 16.1 ± 10.1 ng/m3 in Seoul and 3.1 ± 0.4 ng/m3 in Denver.

    “The major components of PAHs in Seoul and Denver were similar, and the average levels of PAHs during the winter season, according to the published data, are 16.1 ± 10.1ng/m3 and 3.1 ± 0.4 ng/m3 in Seoul and Denver, respectively (30–32).”

    From Particulate matter causes skin barrier dysfunction. (2021) · cites this paper as [32]

    Section 3.1 (page unavailable) reports an average PAH concentration of 3.19 ng/m³ at one Denver site, close to the cited 3.1 ng/m³. It does not identify that value as a winter average or give the ±0.4 figure. Searches for Seoul and 16.1 ± 10.1 found no comparison of the cities’ major PAH components or support for the Seoul figure. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

3 of the 48 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. U.S. EPA 2009 Integrated Science Assessment for Particulate Matter (Final Report) U.S. Environmental Protection Agency Washington, DC EPA/600/R-08/139F 36630543

Cited by

Sorted by citations

Authors
Xie, M., Coons, T. L., Dutton, S. J., Milford, J. B., Miller, S. L., Peel, J. L., Vedal, S., & Hannigan, M. P.
Affiliations
  • University of Colorado Boulder (US)
  • Environmental Protection Agency (US)
  • Colorado State University (US)
  • University of Washington (US)
Corresponding author
Hannigan, Michael P.
Venue
Atmospheric Environment
Publisher
Elsevier BV
Published
2012-12
Volume
60
Pages
486-494
ISSN
1352-2310 (ISSN-L)
OpenAlex
W1977779283
Cited by
27
References
48
Citations by year
2025: 1 · 2024: 4 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 5 · 2018: 3 · 2015: 3 · 2014: 1 · 2012: 1
FWCI
1.09
Type
journal article
Language
en
Open access
Locations
  • Atmospheric Environment (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
NIEHS (RO1 ES010197)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
Keywords
PM2.5, carbonaceous aerosols, spatial variability, elemental carbon, organic carbon, polycyclic aromatic hydrocarbons, steranes, hopanes, highway proximity, diesel vehicle emissions, gasoline vehicle emissions, organic molecular markers, Denver metropolitan area

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review