FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W89191567> ?p ?o ?g. }

• W89191567 endingPage "467" @default.
• W89191567 startingPage "427" @default.
• W89191567 abstract "The contribution of inorganic air pollutant emissions to atmospheric deposition in the Athabasca Oil Sands Region (AOSR) of Alberta, Canada, was investigated in the surrounding boreal forests, using a common epiphytic lichen bioindicator species (Hypogymnia physodes) and applying multiple receptor models. Source materials from anthropogenic and natural emitters of air pollution in the AOSR were obtained and chemically characterized to aid in the assessment. The lichens selected for analysis were collected in 2008 using a stratified, nested grid approach radiating away from the central area of oil sands production at 121 sampling sites extending as far as 150 km. Source and lichen samples were extracted and analyzed for 43 elements using dynamic reaction cell quadrupole inductively coupled plasma mass spectroscopy (DRC-ICPMS). Source apportionment of the lichen tissue analytical results was conducted using principal component analysis (PCA), chemical mass balance (CMB), positive matrix factorization (PMF), and Unmix models. Initial Varimax-rotated PCA screening analysis indicated that there were five principal components that could explain 89% of the variance contained in the lichen data set, with the majority of the variance lumped into a fugitive dust factor. This fugitive dust source could be separated into tailing sand, haul road, and overburden components using CMB on lichen samples collected near the mining and oil processing facilities. However, the CMB model performance was limited by the similarity of sources and the lack of total nitrogen measurements in the emission source profiles. The PMF and Unmix models were found to perform best with this unique AOSR lichen data set, providing very similar results at near-source as well as remote lichen collection sites. The PMF results showed that sources significantly contributing to concentrations of elements in the lichen tissue include combustion processes (∼ 23%), tailing sand (∼ 19%), haul roads and limestone (∼ 15%), oil sand and processed materials (∼ 15%), and a general anthropogenic urban source (∼ 15%). The spatial patterns of CMB, PMF, and Unmix receptor models estimated that source impacts on the H. physodes tissue elemental concentrations from the oil sand processing and fugitive dust sources had a significant association with the distance from the primary oil sands surface mining operations and related production facilities. The spatial extent of the fugitive dust impact was limited to a radius of approximately 20 km around the major mining and oil production facilities, which is indicative of ground-level coarse particulate fugitive emissions from these sources. The impact of the general urban source was found to be enhanced in the southern portion of the sampling domain in the vicinity of the Fort McMurray urban area. The receptor model results showed lower Mn concentrations in lichen tissues near oil sands production operations suggesting a biogeochemical response. Overall, the largest impact on elemental concentrations of H. physodes tissue in the AOSR was related to fugitive dust, suggesting that implementation of a fugitive dust abatement strategy could minimize the near-field atmospheric deposition of any future mining-related production activities." @default.
• W89191567 created "2016-06-24" @default.
• W89191567 creator A5015223338 @default.
• W89191567 creator A5038787224 @default.
• W89191567 creator A5038839344 @default.
• W89191567 creator A5043764689 @default.
• W89191567 creator A5057036583 @default.
• W89191567 creator A5073916345 @default.
• W89191567 date "2012-01-01" @default.
• W89191567 modified "2023-10-13" @default.
• W89191567 title "Receptor Modeling of Epiphytic Lichens to Elucidate the Sources and Spatial Distribution of Inorganic Air Pollution in the Athabasca Oil Sands Region" @default.
• W89191567 cites W1964717410 @default.
• W89191567 cites W1968495925 @default.
• W89191567 cites W1969559397 @default.
• W89191567 cites W1970186940 @default.
• W89191567 cites W1978825774 @default.
• W89191567 cites W1985584133 @default.
• W89191567 cites W1991483384 @default.
• W89191567 cites W1993482283 @default.
• W89191567 cites W1994983735 @default.
• W89191567 cites W1997025631 @default.
• W89191567 cites W2001298016 @default.
• W89191567 cites W2001603058 @default.
• W89191567 cites W2002019354 @default.
• W89191567 cites W2004630054 @default.
• W89191567 cites W2005029287 @default.
• W89191567 cites W2012470056 @default.
• W89191567 cites W2017395900 @default.
• W89191567 cites W2018055841 @default.
• W89191567 cites W2020486620 @default.
• W89191567 cites W2022851313 @default.
• W89191567 cites W2024487646 @default.
• W89191567 cites W2026870315 @default.
• W89191567 cites W2035625558 @default.
• W89191567 cites W2037570227 @default.
• W89191567 cites W2040030092 @default.
• W89191567 cites W2040322151 @default.
• W89191567 cites W2044875653 @default.
• W89191567 cites W2045403450 @default.
• W89191567 cites W2048160823 @default.
• W89191567 cites W2049743420 @default.
• W89191567 cites W2056857971 @default.
• W89191567 cites W2058615120 @default.
• W89191567 cites W2061994602 @default.
• W89191567 cites W2073371491 @default.
• W89191567 cites W2074251611 @default.
• W89191567 cites W2075343148 @default.
• W89191567 cites W2080474541 @default.
• W89191567 cites W2081300775 @default.
• W89191567 cites W2082036106 @default.
• W89191567 cites W2087217684 @default.
• W89191567 cites W2089606077 @default.
• W89191567 cites W2091751204 @default.
• W89191567 cites W2092538386 @default.
• W89191567 cites W2127748035 @default.
• W89191567 cites W2130189616 @default.
• W89191567 cites W2162440838 @default.
• W89191567 cites W2163382882 @default.
• W89191567 cites W2306611264 @default.
• W89191567 cites W2319855919 @default.
• W89191567 cites W4255027851 @default.
• W89191567 doi "https://doi.org/10.1016/b978-0-08-097760-7.00018-4" @default.
• W89191567 hasPublicationYear "2012" @default.
• W89191567 type Work @default.
• W89191567 sameAs 89191567 @default.
• W89191567 citedByCount "39" @default.
• W89191567 countsByYear W891915672013 @default.
• W89191567 countsByYear W891915672014 @default.
• W89191567 countsByYear W891915672015 @default.
• W89191567 countsByYear W891915672016 @default.
• W89191567 countsByYear W891915672017 @default.
• W89191567 countsByYear W891915672018 @default.
• W89191567 countsByYear W891915672019 @default.
• W89191567 countsByYear W891915672020 @default.
• W89191567 countsByYear W891915672021 @default.
• W89191567 countsByYear W891915672022 @default.
• W89191567 countsByYear W891915672023 @default.
• W89191567 crossrefType "book-chapter" @default.
• W89191567 hasAuthorship W89191567A5015223338 @default.
• W89191567 hasAuthorship W89191567A5038787224 @default.
• W89191567 hasAuthorship W89191567A5038839344 @default.
• W89191567 hasAuthorship W89191567A5043764689 @default.
• W89191567 hasAuthorship W89191567A5057036583 @default.
• W89191567 hasAuthorship W89191567A5073916345 @default.
• W89191567 hasConcept C107872376 @default.
• W89191567 hasConcept C120149898 @default.
• W89191567 hasConcept C127313418 @default.
• W89191567 hasConcept C131779963 @default.
• W89191567 hasConcept C154945302 @default.
• W89191567 hasConcept C168056786 @default.
• W89191567 hasConcept C176585087 @default.
• W89191567 hasConcept C185592680 @default.
• W89191567 hasConcept C18903297 @default.
• W89191567 hasConcept C205649164 @default.
• W89191567 hasConcept C27438332 @default.
• W89191567 hasConcept C39432304 @default.
• W89191567 hasConcept C41008148 @default.
• W89191567 hasConcept C521259446 @default.

• next