2019
DOI: 10.1016/j.scitotenv.2019.03.453
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Hybrid land use regression modeling for estimating spatio-temporal exposures to PM2.5, BC, and metal components across a metropolitan area of complex terrain and industrial sources

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Cited by 44 publications
(25 citation statements)
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“…Our approach toward PM 2.5 quantification is well detailed elsewhere. 28 In brief, we conducted a spatial-saturation monitoring campaign at 37 distinct sites during summer (June to July 2012) and winter (January to March 2013) across a region of approximately 388 km 2 . At each site, integrated PM 2.5 samples were collected using Harvard Impactors (Air Diagnostics and Engineering Inc), mounted at 10 to 12 ft, operated at a flow rate of 4.01 L/min, for the first 15 minutes of each hour per season during a 7-day sampling period.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our approach toward PM 2.5 quantification is well detailed elsewhere. 28 In brief, we conducted a spatial-saturation monitoring campaign at 37 distinct sites during summer (June to July 2012) and winter (January to March 2013) across a region of approximately 388 km 2 . At each site, integrated PM 2.5 samples were collected using Harvard Impactors (Air Diagnostics and Engineering Inc), mounted at 10 to 12 ft, operated at a flow rate of 4.01 L/min, for the first 15 minutes of each hour per season during a 7-day sampling period.…”
Section: Methodsmentioning
confidence: 99%
“…A land use regression (LUR) modeling approach was used to model PM 2.5 concentrations as a function of GIS-based indicators of pollution sources and land use characteristics (eg, traffic density; transportation networks; roadway; industrial emissions; population; and truck, bus, and diesel indicators), accounting for temporal variation using concentrations at a reference monitoring site. 28 , 29 Using the LUR models, we created a continuous spatial surface of estimated PM 2.5 and used that surface to estimate 1-year mean exposures within the 300-m buffer that surrounded each participant’s home. 29 , 30 Earlier work 31 has demonstrated stable spatial variance in PM 2.5 concentrations, with the same areas remaining relatively high or low for years.…”
Section: Methodsmentioning
confidence: 99%
“…Air pollution, especially particular matter, is associated with worsening of lung function. The surface of particular matter is rich of metals such as iron, copper, zinc, manganese, and other transition elements, as well as polycyclic aromatic hydrocarbons (PAH), which are able to increase free radical production in the lung, consume antioxidant ingredients, and cause oxidative stress [89]. As such, these particulate substances are able to affect microbial composition and lead to a decrease of the relative abundance of Bacteroidetes and Fusobacteria alongside with an increase in the relative abundance of Firmicutes, Proteobacteria, and Actinobacteria in the oropharyngeal mucosa [90].…”
Section: Ii) Influence Of Pollen Allergens and Pollutants On Airwaymentioning
confidence: 99%
“…In the current study, we examined associations between annual average residence-based exposures to ambient PM 2:5 , black carbon (BC), and metal components, with circulating and stimulated levels of proinflammatory mediators among healthy middleaged adults in the Adult Health and Behavior project phase II (AHAB-II) cohort. To do so, we used hybrid-dispersion land use regression (LUR) models that we previously developed in Pittsburgh, Pennsylvania, to assess elevated concentrations of airborne metals related to steel emissions-lead (Pb), manganese (Mn), iron (Fe), and zinc (Zn)-across the urban area (Tripathy et al 2019). Based on the existing evidence, we hypothesized that elevated exposures to PM 2:5 , BC, Pb, Mn, Zn, and Fe would be associated with an increased inflammatory response to LPS, as indicated by LPS-stimulated production of cytokines .…”
Section: Introductionmentioning
confidence: 99%