2021
DOI: 10.1016/j.watres.2021.117083
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Source identification of particulate organic carbon using stable isotopes and n-alkanes: modeling and application

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Cited by 36 publications
(11 citation statements)
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“…The proportion of endogenous, autochthonous carbon strongly depends on location-based factors like nutrient availability or temperature, morphology of the surface water. However, studies investigating POM sources mostly only distinguish between endogenous POM and terrestrial POM, e.g., by stable C-N isotope analysis (Meng et al 2021 ). Typically, SAT infiltration basins and surface waters at BF sites are exposed to light and thus provoke algae growth.…”
Section: Introductionmentioning
confidence: 99%
“…The proportion of endogenous, autochthonous carbon strongly depends on location-based factors like nutrient availability or temperature, morphology of the surface water. However, studies investigating POM sources mostly only distinguish between endogenous POM and terrestrial POM, e.g., by stable C-N isotope analysis (Meng et al 2021 ). Typically, SAT infiltration basins and surface waters at BF sites are exposed to light and thus provoke algae growth.…”
Section: Introductionmentioning
confidence: 99%
“…A similar trend of δ 13 C POC with Chlorophyll-A concentrations and phytoplankton densities indicates that the cyanobacterial bloom event is the determining factor in the POC pool, whereas δ 13 C POC along the water column spanning approximately 1‰-2‰ implies less influence of sinking progress and sediment resuspension, both of which occur frequently in shallow lakes (Tang et al, 2020;Wang et al, 2022). Simultaneously, a significantly higher proportion of C 27 sterols among the C 27 -C 29 sterols than riverine samples also suggests the increasing zooplankton and an additional supply of cyanobacteria-derived OC within the lake, further supporting the notion that cyanobacteria contribute a large amount of labile OC to the total POC pool in Meiliang bay (Xu et al, 2019;Meng et al, 2021). However, during the decay season, terrestrial OC became the major source of POC in Meiliang Bay.…”
Section: Strong Seasonal Variations In Pocmentioning
confidence: 64%
“…The seasonal bloom and succession of phytoplankton in Meiliang Bay shape the POC pool, as evidenced by δ 13 C POC and biomarkers. In Meiliang Bay, the higher δ 13 C POC in the bloom season approached the cyanobacterial signal at −20.5‰ (Xu et al, 2020;Meng et al, 2021), suggesting the dominant cyanobacteria-derived OC input. A similar trend of δ 13 C POC with Chlorophyll-A concentrations and phytoplankton densities indicates that the cyanobacterial bloom event is the determining factor in the POC pool, whereas δ 13 C POC along the water column spanning approximately 1‰-2‰ implies less influence of sinking progress and sediment resuspension, both of which occur frequently in shallow lakes (Tang et al, 2020;Wang et al, 2022).…”
Section: Strong Seasonal Variations In Pocmentioning
confidence: 90%
“…The most commonly used acetylene inhibition technique is currently considered unsuitable for quantifying the denitri cation rates, mainly because of the catalytic decomposition of NO in the presence of acetylene and O 2 (Wu et al, 2019). Nitrogen isotopes have been widely used for understanding inorganic nitrogen sources, migration, and transformation in various environments ( (Bu et al, 2017;Jin et al, 2017;Meng et al, 2021). Natural abundance nitrogen (δ 15 (2018) analyzed δ 15 N and δ 18 O using a Finnigan MAT delta plus XL isotope ratio mass spectrometer at the Isotope Science Laboratory to assess denitri cation in a hyporheic zone.…”
Section: Introductionmentioning
confidence: 99%