Chengxu Zhou’s research while affiliated with Ningbo University and other places

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Publications (1)

Fig. 1. Location of the study area in Lianjiang County. a. Topography and distribution of rivers in the study area. The Aojiang River is in the northern part of the figure and the Minjiang River is in the southern part; the Lianjiang coast is influenced by both rivers. b. Locations of surface sediment samples and a sediment core HK3.
Fig. 2. Spatial distribution of diatom concentrations and the Shannon-Weaver diversity index of diatoms in surface sediment samples from the Lianjiang coastal area. a and d refer to October, b and e to January, c and f to April.
Fig. 5. Vertical profiles of 210 Pb ex activity, clay content, and calculated 210 Pb ex activity in core HK3. Error bars consider counting statistics uncertainties at 2σ.
Fig. 8. Time series of reconstructed sea surface salinity (grey intervals are error values), diatom concentration, Shannon-Weaver diversity index, sediment mean grain size, and relative abundance of freshwater and marine diatom species in core HK3. Note that abrupt decreases in the SSS occurred in 2019, 2013, and 1999.
Results of the λ1/λ2 test of each environmental variable
Diatoms as indicators of environmental change in coastal areas: a case study in Lianjiang coast of East China Sea
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October 2024

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Acta Oceanologica Sinica -English Edition-

Tong Li

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Jihui Zhang

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Owing to the significant differences in environmental characteristics and explanatory factors among estuarine and coastal regions, research on diatom transfer functions and database establishment remains incomplete. This study analysed diatoms in surface sediment samples and a sediment core from the Lianjiang coast of the East China Sea, together with environmental variables. Principal component analysis of the environmental variables showed that sea surface salinity (SSS) and sea surface temperature were the most important factors controlling hydrological conditions in the Lianjiang coastal area, whereas canonical correspondence analysis indicated that SSS and pH were the main environmental factors affecting diatom distribution. Based on the modern diatom species-environmental variable database, we developed a diatom-based SSS transfer function to quantitatively reconstruct the variability in SSS between 1984 and 2021 for sediment core HK3 from the Lianjiang coastal area. The agreement between the reconstructed SSS and instrument SSS data from 1984 to 2021 suggests that diatom-based SSS reconstruction is reliable for studying past SSS variability in the Lianjiang coastal area. Three low SSS events in AD 2019, 2013, and 1999, together with an increased relative concentration of freshwater diatom species and coarser sediment grain sizes, corresponded to two super-typhoon events and a catastrophic flooding event in Lianjiang County. Thus, a diatom-based SSS transfer function for reconstructing past SSS variability in the estuarine and coastal areas of the East China Sea can be further used to reflect the paleoenvironmental events in this region.

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