FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904119461> ?p ?o ?g. }

• W2904119461 endingPage "61" @default.
• W2904119461 startingPage "51" @default.
• W2904119461 abstract "Black carbon (BC) has emerged as a major contributor to global climate change. Cities play an important role in global BC emission. The present study investigated the spatial pattern of in-traffic BC at a high spatial resolution in Shanghai, the commercial and financial center in Mainland China. The determinants including road network, social economic status and point-source pollutants, which may influence the BC spatial variability were also discussed. From October to December 2016, mobile monitoring was conducted to assess the BC concentrations on three sampling routes in Shanghai with a total length of 116 km. The results showed that the mean in-traffic BC among three sampling routes was 10.77 ± 3.50 μg/m3. BC concentrations showed a significant spatial heterogeneity. The highest BC concentrations were near industrial sources and that those high concentrations were associated with either direct emissions from the industries, freight traffic, or both. With the widely distributed polluting enterprises and high emitting vehicles, the average BC in the low urbanization areas (12.80 ± 4.54 μg/m3) was 57% higher than that in the urban core (7.77 ± 2.24 μg/m3). Furthermore, a land use regression (LUR) model based on mobile monitoring was developed to examine the determinants and its spatial variability of BC measurements which corresponded to 17 predictor variables, e.g. road network, land use, meteorological condition etc., in 7 buffer distances (100 m to 10 km). The variables of meteorological, socio-economical and the distance to BC point-sources were selected as the independent variables. It was found that the established LUR model could explain a proportion (68%) of the variability of BC. LUR modeling from mobile measurements was possible, but more work related to the effect of traffic regulation on BC could be helpful for informing best model practice." @default.
• W2904119461 created "2018-12-22" @default.
• W2904119461 creator A5003017117 @default.
• W2904119461 creator A5006877911 @default.
• W2904119461 creator A5023042881 @default.
• W2904119461 creator A5037456837 @default.
• W2904119461 creator A5064731954 @default.
• W2904119461 creator A5086208612 @default.
• W2904119461 date "2019-03-01" @default.
• W2904119461 modified "2023-10-18" @default.
• W2904119461 title "Spatial characteristics and determinants of in-traffic black carbon in Shanghai, China: Combination of mobile monitoring and land use regression model" @default.
• W2904119461 cites W1659902154 @default.
• W2904119461 cites W1966366692 @default.
• W2904119461 cites W1969620550 @default.
• W2904119461 cites W1973729195 @default.
• W2904119461 cites W1983146165 @default.
• W2904119461 cites W1988473208 @default.
• W2904119461 cites W1998822033 @default.
• W2904119461 cites W2002451067 @default.
• W2904119461 cites W2006297362 @default.
• W2904119461 cites W2006929658 @default.
• W2904119461 cites W2008576925 @default.
• W2904119461 cites W2012037158 @default.
• W2904119461 cites W2018680235 @default.
• W2904119461 cites W2023561655 @default.
• W2904119461 cites W2025894873 @default.
• W2904119461 cites W2028999185 @default.
• W2904119461 cites W2030646160 @default.
• W2904119461 cites W2031724056 @default.
• W2904119461 cites W2031896678 @default.
• W2904119461 cites W2040359857 @default.
• W2904119461 cites W2041804631 @default.
• W2904119461 cites W2054917646 @default.
• W2904119461 cites W2055984001 @default.
• W2904119461 cites W2061758003 @default.
• W2904119461 cites W2075958355 @default.
• W2904119461 cites W2077485748 @default.
• W2904119461 cites W2082775153 @default.
• W2904119461 cites W2083441060 @default.
• W2904119461 cites W2093351954 @default.
• W2904119461 cites W2097467169 @default.
• W2904119461 cites W2101990534 @default.
• W2904119461 cites W2123520874 @default.
• W2904119461 cites W2136760397 @default.
• W2904119461 cites W2140542437 @default.
• W2904119461 cites W2141525720 @default.
• W2904119461 cites W2146567463 @default.
• W2904119461 cites W2154340982 @default.
• W2904119461 cites W2161183037 @default.
• W2904119461 cites W2161927012 @default.
• W2904119461 cites W2167273097 @default.
• W2904119461 cites W2195807335 @default.
• W2904119461 cites W2201049887 @default.
• W2904119461 cites W2264365626 @default.
• W2904119461 cites W2312920954 @default.
• W2904119461 cites W2325569683 @default.
• W2904119461 cites W2338506947 @default.
• W2904119461 cites W2352017734 @default.
• W2904119461 cites W2434823106 @default.
• W2904119461 cites W2465847861 @default.
• W2904119461 cites W2507078409 @default.
• W2904119461 cites W2546950881 @default.
• W2904119461 cites W2547648705 @default.
• W2904119461 cites W2556935535 @default.
• W2904119461 cites W2581686942 @default.
• W2904119461 cites W2582377578 @default.
• W2904119461 cites W2586909889 @default.
• W2904119461 cites W2592033489 @default.
• W2904119461 cites W2594967439 @default.
• W2904119461 cites W2595823105 @default.
• W2904119461 cites W2733809378 @default.
• W2904119461 cites W2766555139 @default.
• W2904119461 cites W2767853274 @default.
• W2904119461 doi "https://doi.org/10.1016/j.scitotenv.2018.12.135" @default.
• W2904119461 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30572214" @default.
• W2904119461 hasPublicationYear "2019" @default.
• W2904119461 type Work @default.
• W2904119461 sameAs 2904119461 @default.
• W2904119461 citedByCount "30" @default.
• W2904119461 countsByYear W29041194612019 @default.
• W2904119461 countsByYear W29041194612020 @default.
• W2904119461 countsByYear W29041194612021 @default.
• W2904119461 countsByYear W29041194612022 @default.
• W2904119461 countsByYear W29041194612023 @default.
• W2904119461 crossrefType "journal-article" @default.
• W2904119461 hasAuthorship W2904119461A5003017117 @default.
• W2904119461 hasAuthorship W2904119461A5006877911 @default.
• W2904119461 hasAuthorship W2904119461A5023042881 @default.
• W2904119461 hasAuthorship W2904119461A5037456837 @default.
• W2904119461 hasAuthorship W2904119461A5064731954 @default.
• W2904119461 hasAuthorship W2904119461A5086208612 @default.
• W2904119461 hasConcept C100970517 @default.
• W2904119461 hasConcept C105795698 @default.
• W2904119461 hasConcept C107029721 @default.
• W2904119461 hasConcept C152877465 @default.
• W2904119461 hasConcept C158709400 @default.
• W2904119461 hasConcept C166957645 @default.
• W2904119461 hasConcept C173727882 @default.

• next