2021
DOI: 10.1016/j.jseaes.2021.104740
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Using n-alkanes as a proxy to reconstruct sea-level changes in Thale Noi, the west coast of the Gulf of Thailand

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Cited by 8 publications
(5 citation statements)
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“…The CPI values indicate the possible predominance of odd n-alkanes, even n-alkanes, or not predominance. CPI values near one suggest no preference among odd and even n-alkanes and are associated with petrogenic inputs or anthropogenic sources (Sainakum et al, 2021). In the present study, CPI values from water (0.63-1.72) and soft tissues (0.46-1.92, except Mecoacań) suggest a predominant petrogenic contribution for n-alkanes.…”
Section: Diagnostic Ratios Of N-alkanes and Pahscontrasting
confidence: 46%
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“…The CPI values indicate the possible predominance of odd n-alkanes, even n-alkanes, or not predominance. CPI values near one suggest no preference among odd and even n-alkanes and are associated with petrogenic inputs or anthropogenic sources (Sainakum et al, 2021). In the present study, CPI values from water (0.63-1.72) and soft tissues (0.46-1.92, except Mecoacań) suggest a predominant petrogenic contribution for n-alkanes.…”
Section: Diagnostic Ratios Of N-alkanes and Pahscontrasting
confidence: 46%
“…In the present study, CPI values from water (0.63-1.72) and soft tissues (0.46-1.92, except Mecoacań) suggest a predominant petrogenic contribution for n-alkanes. In individuals from Carmen, the CPI value (1.92) suggests a contribution from mixed sources, with the predominance of biogenic sources, probably phytoplankton (El Nemr et al, 2016;Sainakum et al, 2021). In contrast, for individuals from Mecoacań, the high CPI value (3.21) suggests the presence of nalkanes from terrigenous sources (Leider et al, 2013), typically from C3 plants, important in the deposition of organic matter in estuaries (Lu et al, 2022).…”
Section: Diagnostic Ratios Of N-alkanes and Pahsmentioning
confidence: 99%
“…The Holocene sea level fluctuations in Southeast Asia have been primarily attributed to hydro–isostasy, which is the adjustment of the Earth’s crust to changes in the volume of ice sheets and glaciers (Horton et al, 2005). However, the spatial variability of the magnitude of sea level fluctuations varies depending on the geographical location within the region (Chabangborn et al, 2020; Choowong et al, 2009; Jiwarungrueangkul et al, 2022; Oliver and Terry, 2019; Sainakum et al, 2021). For the Late-Holocene, the global sea level has been reported to decrease gradually, as simulated by the ICE–6E_C Glacial Isostatic Adjustment (GIA) model (Peltier et al, 2015), or show no evidence of fluctuation (Lambeck et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…These discrepancies could be attributed to the lack of understanding of the competing factors influencing the RSL changes in the region, resulting in the differences in the timing and magnitude of RSL fluctuations reported (e.g. Chabangborn et al, 2020; Choowong et al, 2009; Jiwarungrueangkul et al, 2022; Oliver and Terry, 2019; Sainakum et al, 2021; Surakiatchai et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The sediment profile in the study sites is based on the sedimentary cores obtained from the Thale Noi. The lowermost layer was a stiff, light gray clay, correlated to a tidal flat environment, deposited by a sealevel rise before c. 8300 cal a BP (Wangritthikraikul et al, 2020;Sainakum et al, 2021). The stiff clay was overlaid by dark grey clay, which back mangrove pollen taxa generally found in this layer suggested a landward environmental shift owing to sea level fall at 8300-8100 cal a BP (Chabangborn et al, 2020).…”
Section: Geological Backgroundmentioning
confidence: 96%