FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2038512912> ?p ?o ?g. }

• W2038512912 endingPage "2118" @default.
• W2038512912 startingPage "2105" @default.
• W2038512912 abstract "Abstract. Diesel trucks are major contributors of nitrogen oxides (NOx) and primary particulate matter smaller than 2.5 μm (PM2.5) in the transportation sector. However, there are more obstacles to existing estimations of diesel-truck emissions compared with those of cars. The obstacles include both inappropriate methodology and missing basic data in China. According to our research, a large number of trucks are conducting long-distance intercity or interprovincial transportation. Thus, the method used by most existing inventories, based on local registration number, is inappropriate. A road emission intensity-based (REIB) approach is introduced in this research instead of registration-population-based approach. To provide efficient data for the REIB approach, 1060 questionnaire responses and approximately 1.7 million valid seconds of onboard GPS monitoring data were collected in China. The estimated NOx and PM2.5 emissions from diesel freight trucks in China were 5.0 (4.8–7.2) million tonnes and 0.20 (0.17–0.22) million tonnes, respectively, in 2011. The province-based emission inventory is also established using the REIB approach. It was found that the driving conditions on different types of road have significant impacts on the emission levels of freight trucks. The largest differences among the emission factors (in g km−1) on different roads exceed 70 and 50% for NOx and PM2.5, respectively. A region with more intercity freeways or national roads tends to have more NOx emissions, while urban streets play a more important role in primary PM2.5 emissions from freight trucks. Compared with the inventory of the Ministry of Environment Protection, which allocates emissions according to local truck registration number and neglects interregional long-distance transport trips, the differences for NOx and PM2.5 are +28 and −57%, respectively. The REIB approach matches better with traffic statistical data on a provincial level. Furthermore, the different driving conditions on the different roads types are no longer overlooked with this approach." @default.
• W2038512912 created "2016-06-24" @default.
• W2038512912 creator A5008915920 @default.
• W2038512912 creator A5013221837 @default.
• W2038512912 creator A5050065320 @default.
• W2038512912 date "2015-02-26" @default.
• W2038512912 modified "2023-10-09" @default.
• W2038512912 title "Characterization of road freight transportation and its impact on the national emission inventory in China" @default.
• W2038512912 cites W1517984787 @default.
• W2038512912 cites W1965290061 @default.
• W2038512912 cites W1966674806 @default.
• W2038512912 cites W1966866503 @default.
• W2038512912 cites W1970187508 @default.
• W2038512912 cites W1973145833 @default.
• W2038512912 cites W1973553364 @default.
• W2038512912 cites W1981654236 @default.
• W2038512912 cites W1990308592 @default.
• W2038512912 cites W2002102776 @default.
• W2038512912 cites W2002129959 @default.
• W2038512912 cites W2024329115 @default.
• W2038512912 cites W2025593924 @default.
• W2038512912 cites W2044693472 @default.
• W2038512912 cites W2047751270 @default.
• W2038512912 cites W2070533532 @default.
• W2038512912 cites W2081238433 @default.
• W2038512912 cites W2084671418 @default.
• W2038512912 cites W2086390271 @default.
• W2038512912 cites W2095562988 @default.
• W2038512912 cites W2095640367 @default.
• W2038512912 cites W2102948292 @default.
• W2038512912 cites W2117085028 @default.
• W2038512912 cites W2118256816 @default.
• W2038512912 cites W2129407947 @default.
• W2038512912 cites W2133411175 @default.
• W2038512912 cites W2137051291 @default.
• W2038512912 cites W2153250516 @default.
• W2038512912 cites W2169599186 @default.
• W2038512912 cites W2316660884 @default.
• W2038512912 cites W3122351105 @default.
• W2038512912 cites W4206038828 @default.
• W2038512912 doi "https://doi.org/10.5194/acp-15-2105-2015" @default.
• W2038512912 hasPublicationYear "2015" @default.
• W2038512912 type Work @default.
• W2038512912 sameAs 2038512912 @default.
• W2038512912 citedByCount "31" @default.
• W2038512912 countsByYear W20385129122015 @default.
• W2038512912 countsByYear W20385129122016 @default.
• W2038512912 countsByYear W20385129122017 @default.
• W2038512912 countsByYear W20385129122018 @default.
• W2038512912 countsByYear W20385129122019 @default.
• W2038512912 countsByYear W20385129122020 @default.
• W2038512912 countsByYear W20385129122021 @default.
• W2038512912 countsByYear W20385129122022 @default.
• W2038512912 countsByYear W20385129122023 @default.
• W2038512912 crossrefType "journal-article" @default.
• W2038512912 hasAuthorship W2038512912A5008915920 @default.
• W2038512912 hasAuthorship W2038512912A5013221837 @default.
• W2038512912 hasAuthorship W2038512912A5050065320 @default.
• W2038512912 hasBestOaLocation W20385129121 @default.
• W2038512912 hasConcept C105923489 @default.
• W2038512912 hasConcept C119599485 @default.
• W2038512912 hasConcept C126314574 @default.
• W2038512912 hasConcept C127413603 @default.
• W2038512912 hasConcept C138171918 @default.
• W2038512912 hasConcept C144133560 @default.
• W2038512912 hasConcept C148383697 @default.
• W2038512912 hasConcept C153294291 @default.
• W2038512912 hasConcept C166957645 @default.
• W2038512912 hasConcept C171146098 @default.
• W2038512912 hasConcept C178790620 @default.
• W2038512912 hasConcept C185592680 @default.
• W2038512912 hasConcept C18903297 @default.
• W2038512912 hasConcept C191935318 @default.
• W2038512912 hasConcept C203032635 @default.
• W2038512912 hasConcept C205649164 @default.
• W2038512912 hasConcept C22212356 @default.
• W2038512912 hasConcept C24245907 @default.
• W2038512912 hasConcept C2776720842 @default.
• W2038512912 hasConcept C3020197183 @default.
• W2038512912 hasConcept C39432304 @default.
• W2038512912 hasConcept C52121051 @default.
• W2038512912 hasConcept C54725983 @default.
• W2038512912 hasConcept C83581075 @default.
• W2038512912 hasConcept C86803240 @default.
• W2038512912 hasConcept C87717796 @default.
• W2038512912 hasConceptScore W2038512912C105923489 @default.
• W2038512912 hasConceptScore W2038512912C119599485 @default.
• W2038512912 hasConceptScore W2038512912C126314574 @default.
• W2038512912 hasConceptScore W2038512912C127413603 @default.
• W2038512912 hasConceptScore W2038512912C138171918 @default.
• W2038512912 hasConceptScore W2038512912C144133560 @default.
• W2038512912 hasConceptScore W2038512912C148383697 @default.
• W2038512912 hasConceptScore W2038512912C153294291 @default.
• W2038512912 hasConceptScore W2038512912C166957645 @default.
• W2038512912 hasConceptScore W2038512912C171146098 @default.
• W2038512912 hasConceptScore W2038512912C178790620 @default.
• W2038512912 hasConceptScore W2038512912C185592680 @default.
• W2038512912 hasConceptScore W2038512912C18903297 @default.

• next