Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381988299> ?p ?o ?g. }
- W4381988299 endingPage "104270" @default.
- W4381988299 startingPage "104270" @default.
- W4381988299 abstract "Molecular organic geochemistry has been used effectively to determine terrigenous organic carbon (OC) contributions from different sources in modern sediments. However, mathematic modelling using source-specific parameters could be a potentially simple-effective approach to identify the terrigenous OC signals. In this study, the Yellow River estuary was chosen to probe whether source apportionment models can determine source-specific OC contributions. The end-member mixing model suggests that terrigenous OC contributed 57.0% ± 10.2% to the sedimentary OC. n-Alkane distributions were used to perform Unmix and positive matrix factorization (PMF) to separate terrigenous and autochthonous OC into more specific sources. PMF modelling delineates the contributions of high terrigenous plants, fossil OC, macrophyte-sourced OC, and bacterial and algal-sourced OC as 22.9% ± 14.3%, 26.2% ± 19.4%, 26.5% ± 19.3%, and 24.4% ± 17.1%, respectively. In assessing terrigenous contributions, PMF results (48.7% ± 13.5%) almost agrees with the end-member mixing model (57.0% ± 10.2%), consistent and comparable with previously published data (~ 50%), while Unmix (73.9% ± 18.7%) is significantly overestimated. Interestingly, macrophyte-sourced OC from coastal wetland identified by PMF was less investigated previously and should call attention in the future study. Consequently, modelling results match well with previously published data, suggesting that mathematic modelling can be an effective approach to quantitatively evaluate source-specific terrigenous OC contributions to estuary sediments and other complex aqua-land systems. However, caution must be taken in respect to the modelling uncertainty, which could be mainly induced by sample number, diversity, and robust interpretation on chemical parameters." @default.
- W4381988299 created "2023-06-26" @default.
- W4381988299 creator A5015759567 @default.
- W4381988299 creator A5052663196 @default.
- W4381988299 creator A5062004043 @default.
- W4381988299 creator A5070778088 @default.
- W4381988299 date "2023-06-01" @default.
- W4381988299 modified "2023-09-26" @default.
- W4381988299 title "Determining source-specific terrigenous organic carbon contributions in sediments from the Yellow River estuary, Northeast China: A test of source apportionment models" @default.
- W4381988299 cites W1603770066 @default.
- W4381988299 cites W1917502006 @default.
- W4381988299 cites W1964087379 @default.
- W4381988299 cites W1972779873 @default.
- W4381988299 cites W1974564100 @default.
- W4381988299 cites W1975995480 @default.
- W4381988299 cites W1979340125 @default.
- W4381988299 cites W1980332399 @default.
- W4381988299 cites W1982191729 @default.
- W4381988299 cites W1982932887 @default.
- W4381988299 cites W1986343397 @default.
- W4381988299 cites W1987274073 @default.
- W4381988299 cites W1988287153 @default.
- W4381988299 cites W1997565617 @default.
- W4381988299 cites W1997968027 @default.
- W4381988299 cites W2003447034 @default.
- W4381988299 cites W2008990577 @default.
- W4381988299 cites W2009374403 @default.
- W4381988299 cites W2010203009 @default.
- W4381988299 cites W2016976886 @default.
- W4381988299 cites W2017001284 @default.
- W4381988299 cites W2026886308 @default.
- W4381988299 cites W2033981575 @default.
- W4381988299 cites W2038207308 @default.
- W4381988299 cites W2038576345 @default.
- W4381988299 cites W2052703071 @default.
- W4381988299 cites W2052749319 @default.
- W4381988299 cites W2054160444 @default.
- W4381988299 cites W2059745395 @default.
- W4381988299 cites W2060765054 @default.
- W4381988299 cites W2062858363 @default.
- W4381988299 cites W2071754162 @default.
- W4381988299 cites W2076601566 @default.
- W4381988299 cites W2080202804 @default.
- W4381988299 cites W2087501475 @default.
- W4381988299 cites W2092284104 @default.
- W4381988299 cites W2093595217 @default.
- W4381988299 cites W2097705442 @default.
- W4381988299 cites W2106589010 @default.
- W4381988299 cites W2109226117 @default.
- W4381988299 cites W2115664602 @default.
- W4381988299 cites W2118954323 @default.
- W4381988299 cites W2134307611 @default.
- W4381988299 cites W2135608154 @default.
- W4381988299 cites W2146746492 @default.
- W4381988299 cites W2149961247 @default.
- W4381988299 cites W2153893445 @default.
- W4381988299 cites W2157731463 @default.
- W4381988299 cites W2168977703 @default.
- W4381988299 cites W2172023903 @default.
- W4381988299 cites W2489869364 @default.
- W4381988299 cites W2512615761 @default.
- W4381988299 cites W2610422442 @default.
- W4381988299 cites W2753286669 @default.
- W4381988299 cites W2766264116 @default.
- W4381988299 cites W2768134673 @default.
- W4381988299 cites W2782269386 @default.
- W4381988299 cites W2793335703 @default.
- W4381988299 cites W2883366778 @default.
- W4381988299 cites W2898277385 @default.
- W4381988299 cites W2910157689 @default.
- W4381988299 cites W2965610521 @default.
- W4381988299 cites W2990679313 @default.
- W4381988299 cites W2994968574 @default.
- W4381988299 cites W2997490302 @default.
- W4381988299 cites W3010684014 @default.
- W4381988299 cites W3041997544 @default.
- W4381988299 cites W3137662303 @default.
- W4381988299 cites W3154701337 @default.
- W4381988299 cites W3175456170 @default.
- W4381988299 cites W3177546274 @default.
- W4381988299 cites W3194532768 @default.
- W4381988299 cites W4223477435 @default.
- W4381988299 doi "https://doi.org/10.1016/j.marchem.2023.104270" @default.
- W4381988299 hasPublicationYear "2023" @default.
- W4381988299 type Work @default.
- W4381988299 citedByCount "0" @default.
- W4381988299 crossrefType "journal-article" @default.
- W4381988299 hasAuthorship W4381988299A5015759567 @default.
- W4381988299 hasAuthorship W4381988299A5052663196 @default.
- W4381988299 hasAuthorship W4381988299A5062004043 @default.
- W4381988299 hasAuthorship W4381988299A5070778088 @default.
- W4381988299 hasBestOaLocation W43819882991 @default.
- W4381988299 hasConcept C107872376 @default.
- W4381988299 hasConcept C111368507 @default.
- W4381988299 hasConcept C127313418 @default.
- W4381988299 hasConcept C17409809 @default.
- W4381988299 hasConcept C185592680 @default.
- W4381988299 hasConcept C187320778 @default.