FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2555500146> ?p ?o ?g. }

• W2555500146 endingPage "30666" @default.
• W2555500146 startingPage "30666" @default.
• W2555500146 abstract "Levoglucosan (LG), water soluble organic carbon (WSOC) and potassium (K+), and the light absorption at 365 nm (Abs365) of the extracted WSOC are measured in PM2.5 samples collected from November 2011 to July 2013 at four coastal urban sites in southeast China (Fuzhou, Putian, Quanzhou and Xiamen). These species are markers of biomass burning and used to determine the contributions of biomass burning to the PM2.5 burden in these locations. LG and WSOC concentrations exhibited a clear seasonal pattern, with a large enhancement in winter and spring and a minimum in summer, and annual means across all sites of 59.2±46.8 ng m−3 and 2.69±1.21 µg C m−3, respectively. The distinctive seasonal patterns of LG and WSOC are more explained by the East Asian monsoon than the upwind varying emission sources according to the HYSPLIT backward trajectories and MODIS fire spots. Observations produced significant correlation (at the p<0.01 level) between LG and non-sea salt K+ (nss-K+) at each site, but the correlations exhibited no clear seasonal trend. The LG/nss-K+ ratios ranged from 0.03±0.01 to 0.24±0.13 which lay within the limits for the crop residues and/or grass combustion smoke. Stronger correlations were found between WSOC or Abs365 and sulphate than between WSOC and LG. This observation is consistent with the fact that biomass burning is a less important contributor to WSOC and/or brown carbon than is secondary organic aerosol formation and oxidation. The average relative contributions of biomass burning to OC and WSOC in PM2.5 were 8.3 and 15.2 %, respectively, estimated by the measured LG to OC and WSOC (LG/OC and LG/WSOC) ratios in comparison to literature-derived LG/OC and LG/WSOC values for biomass burning smoke. Using the reported conversion factor of LG to PM2.5 for crop straw burning smoke, the LG-estimated PM2.5 contributions from biomass burning exhibited minimum values in summer and higher values in winter and spring. Positive Matrix Factorisation was used to analyse PM2.5 sources, and seven major source factors including biomass burning emissions were resolved. The biomass burning sources contributed 3.75–8.08 % to PM2.5 mass as an annual average while exhibiting a seasonal variability similar to and higher than those of LG-estimated contributions. These results demonstrate that the contribution from biomass burning smoke to PM2.5 – while small – is non-negligible, especially in the winter and spring sampling periods, that is, northeastern monsoon season." @default.
• W2555500146 created "2016-11-30" @default.
• W2555500146 creator A5004754023 @default.
• W2555500146 creator A5033454555 @default.
• W2555500146 creator A5048300415 @default.
• W2555500146 creator A5065729424 @default.
• W2555500146 creator A5071252159 @default.
• W2555500146 creator A5089060483 @default.
• W2555500146 date "2016-01-01" @default.
• W2555500146 modified "2023-09-29" @default.
• W2555500146 title "Biomass burning contributions to urban PM_2.5 along the coastal lines of southeastern China" @default.
• W2555500146 cites W1965030183 @default.
• W2555500146 cites W1968176949 @default.
• W2555500146 cites W1969092611 @default.
• W2555500146 cites W1972322328 @default.
• W2555500146 cites W1972865823 @default.
• W2555500146 cites W1973159294 @default.
• W2555500146 cites W1975288526 @default.
• W2555500146 cites W1976334713 @default.
• W2555500146 cites W1980883613 @default.
• W2555500146 cites W1981392884 @default.
• W2555500146 cites W1987051884 @default.
• W2555500146 cites W1988063372 @default.
• W2555500146 cites W1988233629 @default.
• W2555500146 cites W1989091922 @default.
• W2555500146 cites W1994685471 @default.
• W2555500146 cites W1998711156 @default.
• W2555500146 cites W2002553150 @default.
• W2555500146 cites W2008493342 @default.
• W2555500146 cites W2015166993 @default.
• W2555500146 cites W2019654353 @default.
• W2555500146 cites W2023517010 @default.
• W2555500146 cites W2023667002 @default.
• W2555500146 cites W2024458587 @default.
• W2555500146 cites W2026570524 @default.
• W2555500146 cites W2031691972 @default.
• W2555500146 cites W2032038432 @default.
• W2555500146 cites W2036341295 @default.
• W2555500146 cites W2044499383 @default.
• W2555500146 cites W2049655124 @default.
• W2555500146 cites W2051544868 @default.
• W2555500146 cites W2052457809 @default.
• W2555500146 cites W2052611123 @default.
• W2555500146 cites W2054459239 @default.
• W2555500146 cites W2056734203 @default.
• W2555500146 cites W2060239082 @default.
• W2555500146 cites W2060825729 @default.
• W2555500146 cites W2062801727 @default.
• W2555500146 cites W2063742517 @default.
• W2555500146 cites W2065058551 @default.
• W2555500146 cites W2065448384 @default.
• W2555500146 cites W2067732080 @default.
• W2555500146 cites W2069332855 @default.
• W2555500146 cites W2079348805 @default.
• W2555500146 cites W2081661203 @default.
• W2555500146 cites W2084707451 @default.
• W2555500146 cites W2084750168 @default.
• W2555500146 cites W2091283792 @default.
• W2555500146 cites W2092365624 @default.
• W2555500146 cites W2095540598 @default.
• W2555500146 cites W2105463749 @default.
• W2555500146 cites W2106161186 @default.
• W2555500146 cites W2106476544 @default.
• W2555500146 cites W2111813284 @default.
• W2555500146 cites W2114585886 @default.
• W2555500146 cites W2117744999 @default.
• W2555500146 cites W2121607643 @default.
• W2555500146 cites W2128144672 @default.
• W2555500146 cites W2132436820 @default.
• W2555500146 cites W2133231233 @default.
• W2555500146 cites W2136396086 @default.
• W2555500146 cites W2145442232 @default.
• W2555500146 cites W2146904478 @default.
• W2555500146 cites W2147702610 @default.
• W2555500146 cites W2149206214 @default.
• W2555500146 cites W2153094162 @default.
• W2555500146 cites W2161175616 @default.
• W2555500146 cites W2165237869 @default.
• W2555500146 cites W2168354226 @default.
• W2555500146 cites W2170561039 @default.
• W2555500146 cites W2255556644 @default.
• W2555500146 cites W2323587861 @default.
• W2555500146 cites W255540518 @default.
• W2555500146 cites W2884844759 @default.
• W2555500146 cites W3145877786 @default.
• W2555500146 doi "https://doi.org/10.3402/tellusb.v68.30666" @default.
• W2555500146 hasPublicationYear "2016" @default.
• W2555500146 type Work @default.
• W2555500146 sameAs 2555500146 @default.
• W2555500146 citedByCount "8" @default.
• W2555500146 countsByYear W25555001462018 @default.
• W2555500146 countsByYear W25555001462019 @default.
• W2555500146 countsByYear W25555001462020 @default.
• W2555500146 countsByYear W25555001462021 @default.
• W2555500146 countsByYear W25555001462022 @default.
• W2555500146 countsByYear W25555001462023 @default.
• W2555500146 crossrefType "journal-article" @default.
• W2555500146 hasAuthorship W2555500146A5004754023 @default.

• next