Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review,        editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code
Turn off MathJax
Article Contents

HUANG Chenhu, ZHAI Guojun. Tidal Numerical Modeling Using the Optimized Boundary Conditions in Haizhou Bay of the Yellow Sea[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210658
Citation: HUANG Chenhu, ZHAI Guojun. Tidal Numerical Modeling Using the Optimized Boundary Conditions in Haizhou Bay of the Yellow Sea[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210658

Tidal Numerical Modeling Using the Optimized Boundary Conditions in Haizhou Bay of the Yellow Sea

doi: 10.13203/j.whugis20210658
Funds:

The National Natural Science Foundation of China,Nos.41974005,41876103,41804011.

  • Available Online: 2022-03-19
  • Due to the joint constraints of boundary conditions,including seabed topography,driven water level at open boundary (DWLOB) and bottom friction coefficient (BFC),the accuracy of the tidal numerical modeling in coastal and offshore waters is relatively low.This study intends to synchronously optimize the multiple boundary conditions,including seabed topography,DWLOB,and BFC,to improve the accuracy of the tidal numerical modeling in China's coastal and offshore waters for the hydrographic surveying and mapping.This study simulates the tidal model of Haizhou Bay of the Yellow Sea in China,using a two-dimensional tide numerical model (2D-MIKE21) and based on the synchronously optimized boundary conditions.The water depth with higher resolution and accuracy than the charted depth is used as the seabed topography.The DWLOB is calculated from 12 tidal constituents (including the two long-period constituent,Sa) of the regional tidal model of China seas,CST1.The calculation of the BFC takes into account the spatial variation of water depth.For validation,we compare the simulated model with the 1-year tide tables from 6 tide gauges in Haizhou Bay and the CST1 model at 24 randomly selected points,and get the total root sum squares of the 12 tidal constituents of 5.52 cm and 7.10 cm,respectively.The simulated tide model and the CST1 model are also compared with the 1-month observations at two tide gauges in Haizhou Bay,and the former has a smaller mean square error than the latter.The proposed strategy provides a new method for tidal numerical modeling in coastal and offshore waters.This study also shows that it is feasible to obtain the astro-meteorological constituent Sa by tidal numerical modeling.It should be noted that,the wind effect is also not considered in this study due to its strong randomness and the difficulty in obtaining data for one year.Next,we will use the simulated water level heights in this article and short-term wind velocity and direction as the better open boundary and initial conditions to carry out corresponding short-term tidal modeling in coastal and offshore waters,which will generate the residual water level (or storm surge).
  • [1] Stammer D,Ray R D,Andersen O B,et al.Accuracy Assessment of Global Barotropic Ocean Tide Models[J].Reviews of Geophysics,2014,52(3):243-282
    [2] Kumar S S,Balaji R.Effect of Bottom Friction on Tidal Hydrodynamics along Gulf of Khambhat,India[J].Estuarine,Coastal and Shelf Science,2015,154:129-136
    [3] Sohrabi Athar M,Ardalan A A,Karimi R.Hydrodynamic Tidal Model of the Persian Gulf Based on Spatially Variable Bed Friction Coefficient[J].Marine Geodesy,2019,42(1):25-45
    [4] Sindhu B,Suresh I,Unnikrishnan A S,et al.Improved Bathymetric Datasets for the Shallow Water Regions in the Indian Ocean[J].Journal of Earth System Science,2007,116(3):261-274
    [5] Sindhu B,Unnikrishnan A S.Characteristics of Tides in the Bay of Bengal[J].Marine Geodesy,2013,36(4):377-407
    [6] Krien Y,Mayet C,Testut L,et al.Improved Bathymetric Dataset and Tidal Model for the Northern Bay of Bengal[J].Marine Geodesy,2016,39(6):422-438
    [7] Xu J,Bao J Y,Zhang C Y,et al.Tide Model CST1 of China and Its Application for the Water Level Reducer of Bathymetric Data[J].Marine Geodesy,2017,40(2/3):74-86
    [8] Lyu H H,Zhu J R.Impact of the Bottom Drag Coefficient on Saltwater Intrusion in the Extremely Shallow Estuary[J].Journal of Hydrology,2018,557:838-850
    [9] Guan M L,Li Q Q,Zhu J S,et al.A Method of Establishing an Instantaneous Water Level Model for Tide Correction[J].Ocean Engineering,2019,171:324-331
    [10] Piccioni G,Dettmering D,Schwatke C,et al.Design and Regional Assessment of an Empirical Tidal Model Based on FES2014 and Coastal Altimetry[J].Advances in Space Research,2021,68(2):1013-1022
    [11] DHI,2009.Hydrodynamic and Transport Module Scientific Documentation.DHl water&Environment,Denmark
    [12] Matsumoto K,Takanezawa T,Ooe M.Ocean Tide Models Developed by Assimilating TOPEX/POSEIDON Altimeter Data into Hydrodynamical Model:A Global Model and a Regional Model around Japan[J].Journal of Oceanography,2000,56(5):567-581
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(217) PDF downloads(8) Cited by()

Related
Proportional views

Tidal Numerical Modeling Using the Optimized Boundary Conditions in Haizhou Bay of the Yellow Sea

doi: 10.13203/j.whugis20210658
Funds:

The National Natural Science Foundation of China,Nos.41974005,41876103,41804011.

Abstract: Due to the joint constraints of boundary conditions,including seabed topography,driven water level at open boundary (DWLOB) and bottom friction coefficient (BFC),the accuracy of the tidal numerical modeling in coastal and offshore waters is relatively low.This study intends to synchronously optimize the multiple boundary conditions,including seabed topography,DWLOB,and BFC,to improve the accuracy of the tidal numerical modeling in China's coastal and offshore waters for the hydrographic surveying and mapping.This study simulates the tidal model of Haizhou Bay of the Yellow Sea in China,using a two-dimensional tide numerical model (2D-MIKE21) and based on the synchronously optimized boundary conditions.The water depth with higher resolution and accuracy than the charted depth is used as the seabed topography.The DWLOB is calculated from 12 tidal constituents (including the two long-period constituent,Sa) of the regional tidal model of China seas,CST1.The calculation of the BFC takes into account the spatial variation of water depth.For validation,we compare the simulated model with the 1-year tide tables from 6 tide gauges in Haizhou Bay and the CST1 model at 24 randomly selected points,and get the total root sum squares of the 12 tidal constituents of 5.52 cm and 7.10 cm,respectively.The simulated tide model and the CST1 model are also compared with the 1-month observations at two tide gauges in Haizhou Bay,and the former has a smaller mean square error than the latter.The proposed strategy provides a new method for tidal numerical modeling in coastal and offshore waters.This study also shows that it is feasible to obtain the astro-meteorological constituent Sa by tidal numerical modeling.It should be noted that,the wind effect is also not considered in this study due to its strong randomness and the difficulty in obtaining data for one year.Next,we will use the simulated water level heights in this article and short-term wind velocity and direction as the better open boundary and initial conditions to carry out corresponding short-term tidal modeling in coastal and offshore waters,which will generate the residual water level (or storm surge).

HUANG Chenhu, ZHAI Guojun. Tidal Numerical Modeling Using the Optimized Boundary Conditions in Haizhou Bay of the Yellow Sea[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210658
Citation: HUANG Chenhu, ZHAI Guojun. Tidal Numerical Modeling Using the Optimized Boundary Conditions in Haizhou Bay of the Yellow Sea[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210658
Reference (12)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return