FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2069797515> ?p ?o ?g. }

• W2069797515 endingPage "5360" @default.
• W2069797515 startingPage "5355" @default.
• W2069797515 abstract "The size distribution characteristics of elemental carbon (EC) emissions from Chinese vehicles have not been previously described. In this study, we collected size-segregated aerosol samples using a 10-stage MOUDI sampler (0.056−18 μm) in the Zhujiang tunnel, a roadway tunnel in the urban area of Guangzhou, China. The samples were analyzed for EC, organic carbon (OC), and inorganic ions. Fine particles had an OC/EC ratio of 0.57, indicating a dominant contribution of EC from diesel vehicles. Both EC and OC showed a dominant accumulation mode with a mass median aerodynamic diameter (MMAD) of 0.42 μm. In comparison, studies available in the literature typically reported a much lower MMAD for EC (∼0.1 μm) in vehicular emissions in North America. A theoretical analysis indicated that the larger EC particles observed in this study could not have resulted from after-emission growth processes (i.e., water accretion, coagulation, and vapor condensation). This leaves operating conditions such as high engine loads and low combustion efficiencies, which are more prevalent in diesel-fueled Chinese vehicles, as a more plausible inherent reason for producing the larger EC agglomerates. While fresh 0.1 μm EC particles are unlikely to act as cloud condensation nuclei (CCN), calculations showed that EC particles as large as 0.42 μm are effective CCN at atmospherically relevant critical supersaturation values of less than 1%. As a result, fresh EC particles from Chinese vehicle emissions could readily undergo cloud processing and form internal mixtures with sulfate in the residue droplet mode particles. This prediction is consistent with observations that EC frequently showed a dominant droplet mode in urban atmospheres in this region. The internal mixing of EC with highly hygroscopic sulfate would facilitate its removal by wet deposition and shorten its lifetime in the atmosphere. In addition, the light-absorbing capabilities of EC particles could also be enhanced due to their internal mixing with sulfate. Numerical aerosol models need to take these factors into consideration for better predictions of the behaviors and effects of urban aerosols in China." @default.
• W2069797515 created "2016-06-24" @default.
• W2069797515 creator A5017820327 @default.
• W2069797515 creator A5035375708 @default.
• W2069797515 creator A5043276244 @default.
• W2069797515 creator A5045617018 @default.
• W2069797515 date "2006-08-05" @default.
• W2069797515 modified "2023-10-12" @default.
• W2069797515 title "Size Distribution Characteristics of Elemental Carbon Emitted from Chinese Vehicles: Results of a Tunnel Study and Atmospheric Implications" @default.
• W2069797515 cites W1964414258 @default.
• W2069797515 cites W1966409129 @default.
• W2069797515 cites W1982901140 @default.
• W2069797515 cites W1989913777 @default.
• W2069797515 cites W2004537765 @default.
• W2069797515 cites W2032584053 @default.
• W2069797515 cites W2052265491 @default.
• W2069797515 cites W2055765428 @default.
• W2069797515 cites W2061049779 @default.
• W2069797515 cites W2064469326 @default.
• W2069797515 cites W2074912117 @default.
• W2069797515 cites W2078311973 @default.
• W2069797515 cites W2108082894 @default.
• W2069797515 cites W2116937628 @default.
• W2069797515 cites W2129992496 @default.
• W2069797515 cites W2153947102 @default.
• W2069797515 cites W4242310367 @default.
• W2069797515 doi "https://doi.org/10.1021/es0607281" @default.
• W2069797515 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16999110" @default.
• W2069797515 hasPublicationYear "2006" @default.
• W2069797515 type Work @default.
• W2069797515 sameAs 2069797515 @default.
• W2069797515 citedByCount "83" @default.
• W2069797515 countsByYear W20697975152012 @default.
• W2069797515 countsByYear W20697975152013 @default.
• W2069797515 countsByYear W20697975152014 @default.
• W2069797515 countsByYear W20697975152015 @default.
• W2069797515 countsByYear W20697975152016 @default.
• W2069797515 countsByYear W20697975152017 @default.
• W2069797515 countsByYear W20697975152018 @default.
• W2069797515 countsByYear W20697975152019 @default.
• W2069797515 countsByYear W20697975152020 @default.
• W2069797515 countsByYear W20697975152021 @default.
• W2069797515 countsByYear W20697975152022 @default.
• W2069797515 countsByYear W20697975152023 @default.
• W2069797515 crossrefType "journal-article" @default.
• W2069797515 hasAuthorship W2069797515A5017820327 @default.
• W2069797515 hasAuthorship W2069797515A5035375708 @default.
• W2069797515 hasAuthorship W2069797515A5043276244 @default.
• W2069797515 hasAuthorship W2069797515A5045617018 @default.
• W2069797515 hasConcept C104779481 @default.
• W2069797515 hasConcept C105923489 @default.
• W2069797515 hasConcept C107872376 @default.
• W2069797515 hasConcept C127413603 @default.
• W2069797515 hasConcept C129955480 @default.
• W2069797515 hasConcept C138171918 @default.
• W2069797515 hasConcept C140205800 @default.
• W2069797515 hasConcept C145148216 @default.
• W2069797515 hasConcept C147789679 @default.
• W2069797515 hasConcept C158787203 @default.
• W2069797515 hasConcept C159985019 @default.
• W2069797515 hasConcept C16810429 @default.
• W2069797515 hasConcept C178790620 @default.
• W2069797515 hasConcept C185592680 @default.
• W2069797515 hasConcept C187530423 @default.
• W2069797515 hasConcept C192562407 @default.
• W2069797515 hasConcept C200447597 @default.
• W2069797515 hasConcept C24245907 @default.
• W2069797515 hasConcept C2776384668 @default.
• W2069797515 hasConcept C2778343803 @default.
• W2069797515 hasConcept C2779345167 @default.
• W2069797515 hasConcept C2994497548 @default.
• W2069797515 hasConcept C33332676 @default.
• W2069797515 hasConcept C39432304 @default.
• W2069797515 hasConcept C42360764 @default.
• W2069797515 hasConcept C60448018 @default.
• W2069797515 hasConceptScore W2069797515C104779481 @default.
• W2069797515 hasConceptScore W2069797515C105923489 @default.
• W2069797515 hasConceptScore W2069797515C107872376 @default.
• W2069797515 hasConceptScore W2069797515C127413603 @default.
• W2069797515 hasConceptScore W2069797515C129955480 @default.
• W2069797515 hasConceptScore W2069797515C138171918 @default.
• W2069797515 hasConceptScore W2069797515C140205800 @default.
• W2069797515 hasConceptScore W2069797515C145148216 @default.
• W2069797515 hasConceptScore W2069797515C147789679 @default.
• W2069797515 hasConceptScore W2069797515C158787203 @default.
• W2069797515 hasConceptScore W2069797515C159985019 @default.
• W2069797515 hasConceptScore W2069797515C16810429 @default.
• W2069797515 hasConceptScore W2069797515C178790620 @default.
• W2069797515 hasConceptScore W2069797515C185592680 @default.
• W2069797515 hasConceptScore W2069797515C187530423 @default.
• W2069797515 hasConceptScore W2069797515C192562407 @default.
• W2069797515 hasConceptScore W2069797515C200447597 @default.
• W2069797515 hasConceptScore W2069797515C24245907 @default.
• W2069797515 hasConceptScore W2069797515C2776384668 @default.
• W2069797515 hasConceptScore W2069797515C2778343803 @default.
• W2069797515 hasConceptScore W2069797515C2779345167 @default.
• W2069797515 hasConceptScore W2069797515C2994497548 @default.
• W2069797515 hasConceptScore W2069797515C33332676 @default.

• next