FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017703067> ?p ?o ?g. }

• W2017703067 endingPage "4077" @default.
• W2017703067 startingPage "4065" @default.
• W2017703067 abstract "Abstract. The offline Eulerian AURAMS (A Unified Regional Air quality Modelling System) chemical transport model was adapted to simulate airborne concentrations of seven PAHs (polycyclic aromatic hydrocarbons): phenanthrene, anthracene, fluoranthene, pyrene, benz[a]anthracene, chrysene + triphenylene, and benzo[a]pyrene. The model was then run for the year 2002 with hourly output on a grid covering southern Canada and the continental USA with 42 km horizontal grid spacing. Model predictions were compared to ~5000 24 h-average PAH measurements from 45 sites, most of which were located in urban or industrial areas. Eight of the measurement sites also provided data on particle/gas partitioning which had been modelled using two alternative schemes. This is the first known regional modelling study for PAHs over a North American domain and the first modelling study at any scale to compare alternative particle/gas partitioning schemes against paired field measurements. The goal of the study was to provide output concentration maps of use to assessing human inhalation exposure to PAHs in ambient air. Annual average modelled total (gas + particle) concentrations were statistically indistinguishable from measured values for fluoranthene, pyrene and benz[a]anthracene whereas the model underestimated concentrations of phenanthrene, anthracene and chrysene + triphenylene. Significance for benzo[a]pyrene performance was close to the statistical threshold and depended on the particle/gas partitioning scheme employed. On a day-to-day basis, the model simulated total PAH concentrations to the correct order of magnitude the majority of the time. The model showed seasonal differences in prediction quality for volatile species which suggests that a missing emission source such as air–surface exchange should be included in future versions. Model performance differed substantially between measurement locations and the limited available evidence suggests that the model's spatial resolution was too coarse to capture the distribution of concentrations in densely populated areas. A more detailed analysis of the factors influencing modelled particle/gas partitioning is warranted based on the findings in this study." @default.
• W2017703067 created "2016-06-24" @default.
• W2017703067 creator A5002822009 @default.
• W2017703067 creator A5044395421 @default.
• W2017703067 creator A5048746823 @default.
• W2017703067 creator A5050095482 @default.
• W2017703067 creator A5054862652 @default.
• W2017703067 creator A5058125535 @default.
• W2017703067 creator A5059087384 @default.
• W2017703067 creator A5065319540 @default.
• W2017703067 creator A5081753548 @default.
• W2017703067 creator A5087210606 @default.
• W2017703067 date "2014-04-23" @default.
• W2017703067 modified "2023-10-13" @default.
• W2017703067 title "PAH concentrations simulated with the AURAMS-PAH chemical transport model over Canada and the USA" @default.
• W2017703067 cites W1964250365 @default.
• W2017703067 cites W1967871244 @default.
• W2017703067 cites W1970155414 @default.
• W2017703067 cites W1973722072 @default.
• W2017703067 cites W1973849315 @default.
• W2017703067 cites W1976075022 @default.
• W2017703067 cites W1977004810 @default.
• W2017703067 cites W1981245026 @default.
• W2017703067 cites W1982580469 @default.
• W2017703067 cites W1988207207 @default.
• W2017703067 cites W1989862036 @default.
• W2017703067 cites W1990839656 @default.
• W2017703067 cites W1994907500 @default.
• W2017703067 cites W1997829466 @default.
• W2017703067 cites W2001883476 @default.
• W2017703067 cites W2003935906 @default.
• W2017703067 cites W2004271819 @default.
• W2017703067 cites W2005099024 @default.
• W2017703067 cites W2005874709 @default.
• W2017703067 cites W2011728588 @default.
• W2017703067 cites W2019320687 @default.
• W2017703067 cites W2020707280 @default.
• W2017703067 cites W2021447318 @default.
• W2017703067 cites W2024472562 @default.
• W2017703067 cites W2026156497 @default.
• W2017703067 cites W2030490107 @default.
• W2017703067 cites W2030516581 @default.
• W2017703067 cites W2038308043 @default.
• W2017703067 cites W2044974937 @default.
• W2017703067 cites W2045030500 @default.
• W2017703067 cites W2047200826 @default.
• W2017703067 cites W2051882307 @default.
• W2017703067 cites W2052786465 @default.
• W2017703067 cites W2053881040 @default.
• W2017703067 cites W2055347572 @default.
• W2017703067 cites W2059495841 @default.
• W2017703067 cites W2060900730 @default.
• W2017703067 cites W2063273016 @default.
• W2017703067 cites W2063366143 @default.
• W2017703067 cites W2066446106 @default.
• W2017703067 cites W2076955101 @default.
• W2017703067 cites W2082641979 @default.
• W2017703067 cites W2084405727 @default.
• W2017703067 cites W2085275391 @default.
• W2017703067 cites W2089282744 @default.
• W2017703067 cites W2091609646 @default.
• W2017703067 cites W2093756001 @default.
• W2017703067 cites W2100982438 @default.
• W2017703067 cites W2105790212 @default.
• W2017703067 cites W2109588691 @default.
• W2017703067 cites W2123260702 @default.
• W2017703067 cites W2125778454 @default.
• W2017703067 cites W2140465081 @default.
• W2017703067 cites W2147780898 @default.
• W2017703067 cites W2157707740 @default.
• W2017703067 cites W2167926156 @default.
• W2017703067 cites W3104152859 @default.
• W2017703067 cites W4255864125 @default.
• W2017703067 doi "https://doi.org/10.5194/acp-14-4065-2014" @default.
• W2017703067 hasPublicationYear "2014" @default.
• W2017703067 type Work @default.
• W2017703067 sameAs 2017703067 @default.
• W2017703067 citedByCount "29" @default.
• W2017703067 countsByYear W20177030672015 @default.
• W2017703067 countsByYear W20177030672016 @default.
• W2017703067 countsByYear W20177030672017 @default.
• W2017703067 countsByYear W20177030672018 @default.
• W2017703067 countsByYear W20177030672019 @default.
• W2017703067 countsByYear W20177030672020 @default.
• W2017703067 countsByYear W20177030672021 @default.
• W2017703067 countsByYear W20177030672022 @default.
• W2017703067 countsByYear W20177030672023 @default.
• W2017703067 crossrefType "journal-article" @default.
• W2017703067 hasAuthorship W2017703067A5002822009 @default.
• W2017703067 hasAuthorship W2017703067A5044395421 @default.
• W2017703067 hasAuthorship W2017703067A5048746823 @default.
• W2017703067 hasAuthorship W2017703067A5050095482 @default.
• W2017703067 hasAuthorship W2017703067A5054862652 @default.
• W2017703067 hasAuthorship W2017703067A5058125535 @default.
• W2017703067 hasAuthorship W2017703067A5059087384 @default.
• W2017703067 hasAuthorship W2017703067A5065319540 @default.
• W2017703067 hasAuthorship W2017703067A5081753548 @default.
• W2017703067 hasAuthorship W2017703067A5087210606 @default.

• next