2022
DOI: 10.3390/jmse10070964
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Effects of Sea Level Rise on Tidal Dynamics in Macrotidal Hangzhou Bay

Abstract: Sea level rise (SLR) due to climate change is expected to alter tidal processes and energy transport, disproportionately affecting coastal communities. Utilizing a nested hydrodynamics model, we provided an integrated investigation of tidal responses to SLR in the Hangzhou Bay (HZB). The scenarios of SLR in the next hundred years count for both non-uniform trends based on historical altimetry data and uniform trends from the latest IPCC projections. In a comparison of model results under different SLR scenario… Show more

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Cited by 3 publications
(6 citation statements)
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References 40 publications
(43 reference statements)
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“…Previous studies on tidal energy dissipation in Hangzhou Bay have primarily focused on bottom friction (Wu et al, 2018;Liang et al, 2022). Liang et al (2022) found that bottom dissipation increases around the Zhoushan Archipelago and the Andong tidal flat, while decreasing in other areas of Hangzhou Bay with SLR, consistent with this study.…”
Section: Changes In Tidal Energysupporting
confidence: 89%
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“…Previous studies on tidal energy dissipation in Hangzhou Bay have primarily focused on bottom friction (Wu et al, 2018;Liang et al, 2022). Liang et al (2022) found that bottom dissipation increases around the Zhoushan Archipelago and the Andong tidal flat, while decreasing in other areas of Hangzhou Bay with SLR, consistent with this study.…”
Section: Changes In Tidal Energysupporting
confidence: 89%
“…The contribution of the Greenland and Antarctic ice sheets, glaciers, and groundwater storage is from Fox-Kemper et al (2021). Liang et al (2022) estimated the rate of glacial isostatic adjustment (GIA) in Hangzhou Bay is 0.12 mm yr -1 . Wang et al (2012) estimated that the rate of land subsidence in the northern Hangzhou Bay can be up to 2 mm yr -1 .…”
Section: Slr Trendsmentioning
confidence: 99%
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“…This surge model considers the interaction between tides and surges while neglecting the effect of waves whose contribution to surges is less than 5% [25]. This surge model has been validated for historical typhoon events, showing good agreement with previous observations [36].…”
Section: Surge Modelmentioning
confidence: 62%
“…The model resolution varies from 37 km offshore to 60 m nearshore, and results were stored at a 1 h temporal resolution. Details about the nested model schematization and parameterization are introduced in the article of Liang et al [36]. The nested model uses astronomic tidal levels derived from the NAOTIDE global model (NAO.99b), as well as mean sea level pressures of 10 m meridional (v; northward) and zonal (u; westward) wind components from the ERA5 reanalysis dataset, with a spatial resolution of 15 arcmins and a temporal resolution of 1 h. To ensure coherence between the flood drivers, the atmospheric forcing of the river routing model and surge model was based on the same ERA5 reanalysis dataset, with a significantly enhanced one-hour temporal resolution [35].…”
Section: Surge Modelmentioning
confidence: 99%