Establishing a Model for the Deep Water Wave of Vietnam East Sea for Calculating Detailed Hydrodynamics in Coastal Area
Main Article Content
Abstract
This study tested the development of a wavefield simulation model for the East Sea area with good quality, replacing global data sources to be proactive in data sources in order to serve detailed hydrodynamic calculations for coastal areas. The model toolkit used is MIKE 21 FM, this is a widely used toolkit in the world thanks to its advantages such as user-friendliness, good computing support, and simulation of many hydrodynamic problems. The model has been calibrated and verified with data from typical oceanographic stations representing the three marine areas in Vietnam, Bach Long Vi, Con Co and Phu Quy, which have shown good results. Along with that, the study also evaluated the calculation results with the coastal wave data and also showed
positive results. However, some periods have complicated movements, the model has not really been closely calculated.
References
[2] T. V. Bon, Studying The Causes, Mechanism Of Morphological Evolution and Proposing Scientific and Technological Solutions to Stabilize The Loc An and Cua Lap Estuaries, Ba Ria - Vung Tau Province, State-level independent project DTDL.2010T/27, 2009 (in Vietnamese).
[3] D. M. Duc, Research on Scientific and Technological Solutions to Overcome the Phenomenon of Accretion at The Entrance to The Storm Shelter of Ships - Application for Tam Quan Estuary - Binh Dinh, State-level independent project, 2014 (in Vietnamese).
[4] N. T. Giang, Research The Scientific Basis to Determine The Mechanism of Sedimentation and Landslides and Propose Solutions to Stabilize The Estuaries of Da Dien and Da Nong Rivers in Phu Yen Province for Sustainable Infrastructure and Socio-Economic Development, State-level independent project, 2017 (in Vietnamese).
[5] Modelling and Prediction, European Centre For Medium-Range Weather Forecasts, https://www.ecmwf.int/en/research/modelling-and-prediction, 2020 (accessed on September 1st, 2020).
[6] Data Access, National Center For Environmental Information, 2020, https://www.ncdc.noaa.gove/data-access, (accessed on: September 1st, 2020).
[7] Copernicus Marine Environment Monitoring Service, 2020, https://www.marine.copernicus.eu, (accessed on: September 1st, 2020).
[8] N. T. Sao, T. Q. Tien, Application of WAM Model to Forecast The East Sea Wave Field, VNU Journal of Science: Earth and Environmental Sciences, Vol. 3, 2004, pp. 29-43 (in Vietnamese).
[9] T. Q. Tien, Ability to Apply WAM Wave Model and SWAN Coastal Wave Model to Calculate The Coastal Wave Field as Input for The Problem of Calculating Sediment Transport, Journal of Hydrometeorology, Vol. 4, 2002 (in Vietnamese).
[10] Danish Hydraulic Institute, MIKE 21 User’s Mannual, Denmark, 2007.
[11] General Bathymetric Chart of the Oceans, 2020, https://www.gebco.net/, (accessed on: March 21st, 2020).
[12] N. M. Hung, N. T Sao, T. Q. Tien, Verification of The Wave Field Prediction Model in The Gulf of Tonkin, Scientific Journal of Vietnam National University, Hanoi, Vol. 3, 2005, pp. 135-149 (in Vietnamese).
[13] O. G. Nwogu, D. Lyzenga, Improved Estimation of Ocean Wave Fields from Marine Radars Using Data Assimilation Techniques, ISOPE-2008-TPC-450, 2008.
[14] Haiyan Storm, Wikipeida, 2020, https://vi.wikipedia.org/wiki/B%C3%A3o_Haiyan(2013), (accessed on: August 15th, 2020).
[15] D. Carvalho, A. Rocha, M. G. Gesteira, C. S. Santos, WRF Wind Simulation and Wind Energy Production Estimates Forced by Different Reanalyses: Comparison with Observed Data for Portugal, Applied Energy, Vol. 117, No. 15, 2014, pp 116-126, https://doi.org/10.1016/j.apenergy.2013.12.001.
[16] V. V. Hoa, N. D. Khoa, D. A. Tuan, Forecast Data of ECMWF and Applicability in Forecasting Drought in Vietnam, Journal of Hydrometeorology, Vol 09, 2016, pp 01-06, http://tapchikttv.vn/article/605 (in Vietnamese).
[17] S. Caires, A. Sterl, Comparative Assessment of ERA-40 Ocean Wave Data, Workshop on Re-Analysis, Conference Paper, ECMWF, November 2001, pp 5-9.
[18] V. S. Kumar, T. M. Naseef, Performance of ERA-Interim Wave Data in The Nearshore Waters around India, Journal of Atmospheric and Oceanic Technology, Vol 32, No. 6, 2015, pp. 1257-1269, https://doi.org/10.1175/JTECH-D-14-00153.1.
[19] Sakari Uppala, Evolution of Reanalysis at ECMWF, 3rd International Conference on Reanalysis, 28 Jan - 1 Feb 2007.
[20] M. F. Bruno, Matteo Gianluca Molfetta, V. Totaro, M. Mossa, Performance Assessment of ERA5 Wave Data in a Swell Dominated Region, Journal of Marine Science and Engineering, Vol. 8, No. 3, 2020, pp. 214-233, https://doi.org/10.3390/jmse8030214.