FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2078654715> ?p ?o ?g. }

• W2078654715 endingPage "2374" @default.
• W2078654715 startingPage "2366" @default.
• W2078654715 abstract "The metropolitan area of Rio de Janeiro is one of the twenty biggest urban agglomerations in the world, with 11 million inhabitants in the metropolitan area, and has a high population density, with 1700 hab. km−2. For this aerosol source apportionment study, the atmospheric aerosol sampling was performed at ten sites distributed in different locations of the metropolitan area from September/2003 to December/2005, with sampling during 24 h on a weekly basis. Stacked filter units (SFU) were used to collect fine and coarse aerosol particles with a flow rate of 17 L min−1. In both size fractions trace elements were analyzed by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) as well as water-soluble species by Ion-Chromatography (IC). Also gravimetric analysis and reflectance measurements provided aerosol mass and black carbon concentrations. Very good detection limits for up to 42 species were obtained. Mean annual PM10 mass concentration ranged from 20 to 37 μg m−3, values that are within the Brazilian air quality standards. Receptor models such as principal factor analysis, cluster analysis and absolute principal factor analysis were applied in order to identify and quantify the aerosol sources. For fine and coarse modes, circa of 100% of the measured mass was quantitatively apportioned to relatively few identified aerosol sources. A very similar and consistent source apportionment was obtained for both fine and coarse modes for all 10 sampling sites. Soil dust is an important component, accounting for 22–72% and for 25–48% of the coarse and fine mass respectively. On the other hand, anthropogenic sources as vehicle traffic and oil combustion represent a relatively high contribution (52–75%) of the fine aerosol mass. The joint use of ICP-MS and IC analysis of species in aerosols has proven to be reliable and feasible for the analysis of large amount of samples, and the coupling with receptor models provided an excellent method for quantitative aerosol source apportionment in large urban areas." @default.
• W2078654715 created "2016-06-24" @default.
• W2078654715 creator A5024771271 @default.
• W2078654715 creator A5027064046 @default.
• W2078654715 creator A5074545673 @default.
• W2078654715 creator A5075071061 @default.
• W2078654715 creator A5083955526 @default.
• W2078654715 date "2009-05-01" @default.
• W2078654715 modified "2023-09-24" @default.
• W2078654715 title "Coarse and fine aerosol source apportionment in Rio de Janeiro, Brazil" @default.
• W2078654715 cites W1964307471 @default.
• W2078654715 cites W1966395758 @default.
• W2078654715 cites W1973155430 @default.
• W2078654715 cites W1975891763 @default.
• W2078654715 cites W1978013108 @default.
• W2078654715 cites W1979655103 @default.
• W2078654715 cites W1981487092 @default.
• W2078654715 cites W1987273745 @default.
• W2078654715 cites W1993532539 @default.
• W2078654715 cites W1997271347 @default.
• W2078654715 cites W2003949149 @default.
• W2078654715 cites W2005984195 @default.
• W2078654715 cites W2010047551 @default.
• W2078654715 cites W2020075470 @default.
• W2078654715 cites W2023243642 @default.
• W2078654715 cites W2023959835 @default.
• W2078654715 cites W2025658496 @default.
• W2078654715 cites W2031973341 @default.
• W2078654715 cites W2039000691 @default.
• W2078654715 cites W2040239281 @default.
• W2078654715 cites W2049204516 @default.
• W2078654715 cites W2055524354 @default.
• W2078654715 cites W2063548102 @default.
• W2078654715 cites W2084494301 @default.
• W2078654715 cites W2087273541 @default.
• W2078654715 cites W2087922532 @default.
• W2078654715 cites W2091201893 @default.
• W2078654715 cites W2112440119 @default.
• W2078654715 cites W2126865666 @default.
• W2078654715 cites W2156406064 @default.
• W2078654715 cites W2159273500 @default.
• W2078654715 cites W307336729 @default.
• W2078654715 cites W571546975 @default.
• W2078654715 doi "https://doi.org/10.1016/j.atmosenv.2008.12.046" @default.
• W2078654715 hasPublicationYear "2009" @default.
• W2078654715 type Work @default.
• W2078654715 sameAs 2078654715 @default.
• W2078654715 citedByCount "66" @default.
• W2078654715 countsByYear W20786547152012 @default.
• W2078654715 countsByYear W20786547152013 @default.
• W2078654715 countsByYear W20786547152014 @default.
• W2078654715 countsByYear W20786547152015 @default.
• W2078654715 countsByYear W20786547152016 @default.
• W2078654715 countsByYear W20786547152017 @default.
• W2078654715 countsByYear W20786547152018 @default.
• W2078654715 countsByYear W20786547152019 @default.
• W2078654715 countsByYear W20786547152020 @default.
• W2078654715 countsByYear W20786547152021 @default.
• W2078654715 countsByYear W20786547152022 @default.
• W2078654715 countsByYear W20786547152023 @default.
• W2078654715 crossrefType "journal-article" @default.
• W2078654715 hasAuthorship W2078654715A5024771271 @default.
• W2078654715 hasAuthorship W2078654715A5027064046 @default.
• W2078654715 hasAuthorship W2078654715A5074545673 @default.
• W2078654715 hasAuthorship W2078654715A5075071061 @default.
• W2078654715 hasAuthorship W2078654715A5083955526 @default.
• W2078654715 hasConcept C106131492 @default.
• W2078654715 hasConcept C107872376 @default.
• W2078654715 hasConcept C126314574 @default.
• W2078654715 hasConcept C126857682 @default.
• W2078654715 hasConcept C127313418 @default.
• W2078654715 hasConcept C140779682 @default.
• W2078654715 hasConcept C144024400 @default.
• W2078654715 hasConcept C147789679 @default.
• W2078654715 hasConcept C149923435 @default.
• W2078654715 hasConcept C153294291 @default.
• W2078654715 hasConcept C158739034 @default.
• W2078654715 hasConcept C166957645 @default.
• W2078654715 hasConcept C17744445 @default.
• W2078654715 hasConcept C185592680 @default.
• W2078654715 hasConcept C199539241 @default.
• W2078654715 hasConcept C205649164 @default.
• W2078654715 hasConcept C2778337684 @default.
• W2078654715 hasConcept C2779345167 @default.
• W2078654715 hasConcept C2908647359 @default.
• W2078654715 hasConcept C31972630 @default.
• W2078654715 hasConcept C39432304 @default.
• W2078654715 hasConcept C41008148 @default.
• W2078654715 hasConcept C91586092 @default.
• W2078654715 hasConceptScore W2078654715C106131492 @default.
• W2078654715 hasConceptScore W2078654715C107872376 @default.
• W2078654715 hasConceptScore W2078654715C126314574 @default.
• W2078654715 hasConceptScore W2078654715C126857682 @default.
• W2078654715 hasConceptScore W2078654715C127313418 @default.
• W2078654715 hasConceptScore W2078654715C140779682 @default.
• W2078654715 hasConceptScore W2078654715C144024400 @default.
• W2078654715 hasConceptScore W2078654715C147789679 @default.
• W2078654715 hasConceptScore W2078654715C149923435 @default.

• next