2013
DOI: 10.1080/10962247.2013.787955
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Characterization of summertime coarse particulate matter in the Desert Southwest—Arizona, USA

Abstract: A year-long study was conducted in Pinal County, AZ, to characterize coarse (2.5 -10 µm aerodynamic diameter, AD) and fine (< 2.5 µm AD) particulate matter (PMc and PMf, respectively) to further understand spatial and temporal variations in ambient PM concentrations and composition in rural, arid environments. Measurements of PMc and PMf mass, ions, elements, and carbon concentrations at one-in-six day resolution were obtained at three sites within the region. Results from the summer of 2009 and specifically t… Show more

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Cited by 10 publications
(17 citation statements)
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“…This area experiences some of the highest PM 10 concentrations in the region (U.S. EPA, 2014). This paper expands on work already published from this study (Clements et al, 2013;Upadhyay et al, 2015) by detailing the PMF modeling results for PM c and PM f within the region including source profiles, source identification, and spatially resolved yearly averaged and seasonally resolved source contributions to PM f and PM c mass within the region.…”
Section: Introductionmentioning
confidence: 73%
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“…This area experiences some of the highest PM 10 concentrations in the region (U.S. EPA, 2014). This paper expands on work already published from this study (Clements et al, 2013;Upadhyay et al, 2015) by detailing the PMF modeling results for PM c and PM f within the region including source profiles, source identification, and spatially resolved yearly averaged and seasonally resolved source contributions to PM f and PM c mass within the region.…”
Section: Introductionmentioning
confidence: 73%
“…After optimization based on the above criteria, the optimal number of factors was determined by PMF through trial and error including reducing and increasing the number of factors modeled. Following these initial model runs, the data set was further refined by removing four out of the 64 sampling days, that appeared to have significant outliers (i.e., greater than three standard deviations of the mean) primarily due to extreme wind-blown dust events (Clements et al, 2013). Bootstrap analysis of the number of factors was performed to provide error estimates of each profile.…”
Section: Positive Matrix Factorization Frameworkmentioning
confidence: 99%
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“…(50-70%) of PM 10 (Clements et al 2013;Sprovieri et al 2011;Sprovieri and Pirrone 2008). This is relevant for the Monterrey Metropolitan Area (MMA), a region with a semiarid climate that could suggest a relevant contribution of geological material (Al, Ca, Si, and Fe) to PM c .…”
Section: Introductionmentioning
confidence: 97%
“…The size of PM determines the extent of penetration into the respiratory tract and therefore the adverse health risk: PM 10 can penetrate to the bronchi passages while the finer and more hazardous fraction, PM 2.5 , is able to penetrate fully into the alveolar recesses of the lungs (WHO, 2006). Their mass concentrations, c(PM 10 ) and c(PM 2.5 ) respectively, both increase during haboobs; peak c(PM 10 ) can be in the thousands of µg m -3 for several hours and c(PM 2.5 ) increases although to a somewhat lesser extent (e.g., tens to hundreds of µg m -3 ; Clements et al, 2013;Lei and Wang, 2014). The U.S. National Ambient Air Quality Standards (NAAQS) are 12 µg m -3 for c(PM 2.5 ) and 150 µg m -3 for c(PM 10 ) over a 24-hour period (U.S. Environmental Protection Agency (EPA), 2013).…”
Section: Impact On Air Qualitymentioning
confidence: 99%