2021
DOI: 10.1016/j.ecss.2021.107576
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Numerical study on tidal duration asymmetry and shallow-water tides within multiple islands: An example of the Zhoushan Archipelago

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Cited by 12 publications
(8 citation statements)
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“…The tidal data were provided by the model results of Chu et al. (2021) and were generated by using the finite volume community ocean model. The model domain covers the Yangtze River Estuary, the Zhoushan Archipelago, and the ZMCWs (120°E–127.5°E, 27°N–32.4°N).…”
Section: Methodsmentioning
confidence: 99%
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“…The tidal data were provided by the model results of Chu et al. (2021) and were generated by using the finite volume community ocean model. The model domain covers the Yangtze River Estuary, the Zhoushan Archipelago, and the ZMCWs (120°E–127.5°E, 27°N–32.4°N).…”
Section: Methodsmentioning
confidence: 99%
“…More details regarding the settings of the model and descriptions of the data can be found in Chu et al. (2021).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on the Regional Ocean Model System (ROMS [40]), Wu et al [41] established a high-resolution ocean model with two-way nesting to simulate tides in the Zhoushan Archipelago waters and found that M 4 and M 6 tides mainly originate from advective nonlinearity, not bottom friction. Chu et al [42] investigated tidal duration asymmetry induced by higher harmonics of the main constituents (M 4 , MS 4 , M 6 , and MS 6 ) in the Zhoushan Archipelago using the Finite-Volume Coastal Ocean Model (FVCOM [43]). Their numerical results indicate that tides are flood-dominant in the Zhoushan Archipelago, and tidal asymmetry is enhanced from the open sea to coastal areas.…”
Section: Tidal Modeling Without Data Assimilationmentioning
confidence: 99%
“…Generally, human activities have significant impacts on the vertical and lateral dimensions of estuarine morphology, causing variability in the above two factors, and therefore, an adjustment of the TDA. Specifically, reclamation in lateral intertidal areas can decrease the channel width and shrink intertidal storage, which favors the evolution of TDA towards flood dominance (Song et al, 2013;Gao et al, 2014;Xu et al, 2014;Li et al, 2018;Chu et al, 2021). By contrast, channel dredging and sand mining can increase water depth and channel volume, quicken tidal celerity, reduce effective friction, and strengthen tidal hydrodynamics, leading to weakening variability in tidal asymmetry (Bolle et al, 2010).…”
Section: Introductionmentioning
confidence: 99%