Water Science and Engineering 2018, 11(3) 229-235 DOI:   https://doi.org/10.1016/j.wse.2018.09.001  ISSN: 1674-2370 CN: 32-1785/TV

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Keywords
Typhoon wave
South China Sea
SWAN model
Numerical wave model
Wave prediction and simulation
Authors
PubMed

Evaluation of numerical wave model for typhoon wave simulation in South China Sea

Zhi-yuan Wu a,b,c, Chang-bo Jiang a,b, Bin Deng a,b,*, Jie Chen a,b, Yong-gang Cao d, Lian-jie Li a,b

a School of Hydraulic Engineering, Changsha University of Science and Technology, Changsha 410004, China
b Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province, Changsha 410004, China
c School for Marine Science and Technology, University of Massachusetts Dartmouth, New Bedford, MA 02744, USA
d Key Laboratory of Technology for Safeguarding of Maritime Rights and Interests and Application, State Oceanic Administration, Guangzhou 510310, China

Abstract

The simulating waves nearshore (SWAN) model has typically been designed for wave simulations in near-shore regions. In this study, the model’s applicability to the simulation of typhoon waves in the South China Sea (SCS) was evaluated. A blended wind field, consisting of an interior domain based on Fujita’s model and an exterior domain based on Takahashi’s model, was used as the driving wind field. The waves driven by Typhoon Kai-tak over the SCS that occurred in 2012 were selected for the numerical simulation research. Sensitivity analyses of time step, grid resolution, and angle resolution were performed in order to obtain optimal model settings. Through sensitivity analyses, it can be found that the time step has a large influence on the results, while grid resolution and angle resolution have a little effect on the results.

Keywords Typhoon wave   South China Sea   SWAN model   Numerical wave model   Wave prediction and simulation  
Received 2018-04-12 Revised 2018-06-05 Online: 2018-07-30 
DOI: https://doi.org/10.1016/j.wse.2018.09.001
Fund:

This work was supported by the National Natural Science Foundation of China (Grants No. 51239001, 51179015, and 51509023), the Open Research Foundation of the Key Laboratory of the Pearl River Estuarine Dynamics and Associated Process Regulation, the Ministry of Water Resources (Grant No. 2018KJ03), the Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province (Grant No. 2017SS04), and the Key Laboratory of Technology for Safeguarding of Maritime Rights and Interests and Application, State Oceanic Administration (Grant No. SCS1606).

Corresponding Authors: Bin Deng
Email: engbin07@csust.edu.cn
About author:

References:

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