Sea Level Change due to Nonlinear Tides in Coastal Region

Abstract

: In the southeast coastal zone of Yellow Sea, the tide characteristics showing ebb-dominant tide and tidal flow were confirmed by analysis of observed tide and tidal currents. Physical factors generating asymmetric tide were reviewed. Influence of bottom shear stress, tidal flat, and nonlinear terms in shallow water equations was investigated by two-dimensional tide modeling. The model results gave good agreements with observed tides, but the amplitude of simulated M 4 tide was less than that of observed tide. The tidal flats existing in the study area widely have great effect on the generation of nonlinear tide. The M4 tide is mainly generated near the tidal flats. The deletion of tidal flats prevents the production of the M4 tide. We can conclude that the wide tidal flats is a primary cause of tide asymmetry in the study area.

Estimation of shallow bathymetry using Sentinel-2 satellite data and random forest machine learning: a case study for Cheonsuman, Hallim, and Samcheok Coastal Seas

“…Both the Yellow Sea and South Sea of Korea are strongly influenced by tides. Notably, in the Yellow Sea, the tidal range can span up to 10 m 41 , 42 . Consequently, to generate an SDB result aligned with the DL standard, a datum correction accounting for the tidal level during the imaging time is necessary: Ds(m)=MSL+tlMSL=DL+(Hm+Hs+Ho+Hk)+tlMSL,where Ds(m) is the depth at the time of satellite imaging, tlMSL is the tidal level from the mean sea level (MSL), and Hm, Hs, Ho, and Hk denote the semi-range of the tidal constituents M2, S2, O1, and K1, respectively.…”

“…Both the Yellow Sea and South Sea of Korea are strongly influenced by tides. Notably, in the Yellow Sea, the tidal range can span up to 10 m. 41,42 Consequently, to generate an SDB result aligned with the DL standard, a datum correction accounting for the tidal level during the imaging time is necessary:…”