FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2994674853> ?p ?o ?g. }

• W2994674853 endingPage "15482" @default.
• W2994674853 startingPage "15467" @default.
• W2994674853 abstract "Abstract. In this study we undertook quantitative source apportionment for 32 volatile organic compounds (VOCs) measured at a suburban site in the densely populated northwest Indo-Gangetic Plain using the US EPA PMF 5.0 model. Six sources were resolved by the PMF model. In descending order of their contribution to the total VOC burden these are “biofuel use and waste disposal” (23.2 %), “wheat-residue burning”(22.4 %), “cars” (16.2 %), “mixed daytime sources”(15.7 %) “industrial emissions and solvent use”(11.8 %), and “two-wheelers” (8.6 %). Wheat-residue burning is the largest contributor to the total ozone formation potential (32.4 %). For the emerging contaminant isocyanic acid, photochemical formation from precursors (37 %) and wheat-residue burning (25 %) were the largest contributors to human exposure. Wheat-residue burning was also the single largest source of the photochemical precursors of isocyanic acid, namely, formamide, acetamide and propanamide, indicating that this source must be most urgently targeted to reduce human concentration exposure to isocyanic acid in the month of May. Our results highlight that for accurate air quality forecasting and modeling it is essential that emissions are attributed only to the months in which the activity actually occurs. This is important for emissions from crop residue burning, which occur in May and from mid-October to the end of November. The SOA formation potential is dominated by cars (36.9 %) and two-wheelers (21.1 %), which also jointly account for 47% of the human class I carcinogen benzene in the PMF model. This stands in stark contrast to various emission inventories which estimate only a minor contribution of the transport sector to the benzene exposure (∼10 %) and consider residential biofuel use, agricultural residue burning and industry to be more important benzene sources. Overall it appears that none of the emission inventories represent the regional emissions in an ideal manner. Our PMF solution suggests that transport sector emissions may be underestimated by GAINSv5.0 and EDGARv4.3.2 and overestimated by REASv2.1, while the combined effect of residential biofuel use and waste disposal emissions as well as the VOC burden associated with solvent use and industrial sources may be overestimated by all emission inventories. The agricultural waste burning emissions of some of the detected compound groups (ketones, aldehydes and acids) appear to be missing in the EDGARv4.3.2 inventory." @default.
• W2994674853 created "2019-12-26" @default.
• W2994674853 creator A5053994402 @default.
• W2994674853 creator A5059086127 @default.
• W2994674853 creator A5080711657 @default.
• W2994674853 date "2019-12-18" @default.
• W2994674853 modified "2023-10-14" @default.
• W2994674853 title "Source apportionment of volatile organic compounds in the northwest Indo-Gangetic Plain using a positive matrix factorization model" @default.
• W2994674853 cites W1563424411 @default.
• W2994674853 cites W1826086012 @default.
• W2994674853 cites W1884369139 @default.
• W2994674853 cites W1972956277 @default.
• W2994674853 cites W1980473147 @default.
• W2994674853 cites W1984767934 @default.
• W2994674853 cites W1994074739 @default.
• W2994674853 cites W2013544277 @default.
• W2994674853 cites W2018895536 @default.
• W2994674853 cites W2020965636 @default.
• W2994674853 cites W2021327933 @default.
• W2994674853 cites W2021920325 @default.
• W2994674853 cites W2026802068 @default.
• W2994674853 cites W2027825610 @default.
• W2994674853 cites W2041886910 @default.
• W2994674853 cites W2044083327 @default.
• W2994674853 cites W2047027010 @default.
• W2994674853 cites W2050421870 @default.
• W2994674853 cites W2050993798 @default.
• W2994674853 cites W2051690611 @default.
• W2994674853 cites W2056399136 @default.
• W2994674853 cites W2056857971 @default.
• W2994674853 cites W2059745395 @default.
• W2994674853 cites W2061978475 @default.
• W2994674853 cites W2063334205 @default.
• W2994674853 cites W2065124640 @default.
• W2994674853 cites W2068780477 @default.
• W2994674853 cites W2071474996 @default.
• W2994674853 cites W2072831875 @default.
• W2994674853 cites W2073363749 @default.
• W2994674853 cites W2073693159 @default.
• W2994674853 cites W2078054307 @default.
• W2994674853 cites W2085936845 @default.
• W2994674853 cites W2098757498 @default.
• W2994674853 cites W2119360715 @default.
• W2994674853 cites W2130338957 @default.
• W2994674853 cites W2135822043 @default.
• W2994674853 cites W2137971475 @default.
• W2994674853 cites W2152811544 @default.
• W2994674853 cites W2156921427 @default.
• W2994674853 cites W2157262115 @default.
• W2994674853 cites W2164268820 @default.
• W2994674853 cites W2227285693 @default.
• W2994674853 cites W2255134991 @default.
• W2994674853 cites W2271740825 @default.
• W2994674853 cites W2298841121 @default.
• W2994674853 cites W2304076871 @default.
• W2994674853 cites W2580493800 @default.
• W2994674853 cites W2587021885 @default.
• W2994674853 cites W2597557116 @default.
• W2994674853 cites W2615608826 @default.
• W2994674853 cites W2782839094 @default.
• W2994674853 cites W2795756963 @default.
• W2994674853 cites W2887510723 @default.
• W2994674853 cites W2935724762 @default.
• W2994674853 cites W4213327538 @default.
• W2994674853 doi "https://doi.org/10.5194/acp-19-15467-2019" @default.
• W2994674853 hasPublicationYear "2019" @default.
• W2994674853 type Work @default.
• W2994674853 sameAs 2994674853 @default.
• W2994674853 citedByCount "37" @default.
• W2994674853 countsByYear W29946748532020 @default.
• W2994674853 countsByYear W29946748532021 @default.
• W2994674853 countsByYear W29946748532022 @default.
• W2994674853 countsByYear W29946748532023 @default.
• W2994674853 crossrefType "journal-article" @default.
• W2994674853 hasAuthorship W2994674853A5053994402 @default.
• W2994674853 hasAuthorship W2994674853A5059086127 @default.
• W2994674853 hasAuthorship W2994674853A5080711657 @default.
• W2994674853 hasBestOaLocation W29946748531 @default.
• W2994674853 hasConcept C107872376 @default.
• W2994674853 hasConcept C118518473 @default.
• W2994674853 hasConcept C121332964 @default.
• W2994674853 hasConcept C126314574 @default.
• W2994674853 hasConcept C153294291 @default.
• W2994674853 hasConcept C17744445 @default.
• W2994674853 hasConcept C178790620 @default.
• W2994674853 hasConcept C183889291 @default.
• W2994674853 hasConcept C185592680 @default.
• W2994674853 hasConcept C18903297 @default.
• W2994674853 hasConcept C199539241 @default.
• W2994674853 hasConcept C2776036401 @default.
• W2994674853 hasConcept C2777691172 @default.
• W2994674853 hasConcept C2778150766 @default.
• W2994674853 hasConcept C2778337684 @default.
• W2994674853 hasConcept C2781338088 @default.
• W2994674853 hasConcept C39432304 @default.
• W2994674853 hasConcept C86803240 @default.
• W2994674853 hasConceptScore W2994674853C107872376 @default.
• W2994674853 hasConceptScore W2994674853C118518473 @default.

• next