|Table of Contents|

Citation:
 Shuya Xie,Aifeng Tao,Xue Han,et al.Characteristics of Significant Wave Components in the Long Time Wave Evolution Process[J].Journal of Marine Science and Application,2023,(1):92-101.[doi:10.1007/s11804-023-00317-x]
Click and Copy

Characteristics of Significant Wave Components in the Long Time Wave Evolution Process

Info

Title:
Characteristics of Significant Wave Components in the Long Time Wave Evolution Process
Author(s):
Shuya Xie12 Aifeng Tao12 Xue Han3 Xishan Pan3 and Wei Xu12
Affilations:
Author(s):
Shuya Xie12 Aifeng Tao12 Xue Han3 Xishan Pan3 and Wei Xu12
1 Key Laboratory of the Ministry of Education for Coastal Disaster and Protection, Hohai University, Nanjing 210024, China;
2 College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210024, China;
3 Tidal Flat Research Center of Jiangsu Province, Nanjing 210036, China
Keywords:
Spectral bandwidth|Significant wave components|Long-time wave evolution|Wave surface maximum|Maximum wave height
分类号:
-
DOI:
10.1007/s11804-023-00317-x
Abstract:
Spectral bandwidth is a relevant parameter of water wave evolution and is commonly used to represent the number of wave components involved in wave–wave interactions. However, whether these two parameters are equivalent is an open question. Following the high-order spectral method and taking the weakly modulated Stokes wave train as the initial condition, the relationship between the spectral bandwidth and the number of wave components is investigated in this work. The results showed that the number of wave components can vary with the same spectral bandwidth and that distinct wave profiles emerge from different numbers of wave components. With a new definition of significant wave components, the characteristics of this parameter in the long-time wave evolution are discussed, along with its relationship with common parameters, including the wave surface maximum and the wave height. The results reveal that the wave surface evolution trend of different numbers of significant wave components (Ns) is the same from a holistic perspective, while the difference between them also exists, mainly in locations where extreme waves occur. Furthermore, there is a negative correlation between r (aj/a0) and wave surface maximum (ηmax/a0) and wave height (Hmax and Hs). The evolution trends of the relative errors (RE) of ηmax/a0, Hmax, and Hs of different Ns show the periodic recurrence of modulation and demodulation in the early stage when the Benjamin–Feir instability is dominated. The difference is that in the later stage, the RE of ηmax/a0 and Hmax is chaotic and irregular, while those of Hs gradually stabilize near an equilibrium value. Furthermore, we discuss the relationship between the mean relative error (MRE) and r. For ηmax/a0, MRE and r show a logarithmic relationship, while for Hmax and Hs, a quadratic relationship exists between them. Therefore, the choice of Ns is also important for extreme waves and is particularly meaningful for wave generation experiments in the wave flume.

References:

Dommermuth DG, Yue DKP (1987) A high-order spectral method for the study of nonlinear gravity waves. Journal of Fluid Mechanics 184:267-288. DOI:10.1017/s002211208700288x
Dong G, Fu R, Ma Y, Fang K (2019) Simulation of unidirectional propagating wave trains in deep water using a fully nonhydrostatic model. Ocean Engineering 180:254-266. DOI:10.1016/j.oceaneng.2019.03.037
Doong DJ, Peng JP, Chen YC (2018) Development of a warning model for coastal freak wave occurrences using an artificial neural network. Ocean Engineering 169:270-280. DOI:10.1016/j.oceaneng.2018.09.029
Ducrozet G, Bonnefoy F, Ferrant F (2008) Analysis of freak waves formation with large scale fully nonlinear high order spectral simulations. 2008 International Offshore and Polar Engineering Conference, Vancouver, 47-54
Dysthe KB, Trulsen K, Krogstad HE, Socquet-Juglard H (2003) Evolution of a narrow-band spectrum of random surface gravity waves. Journal of Fluid Mechanics 478:1-10. DOI:10.1017/s0022112002002616
Fujimoto W, Waseda T, Webb A (2018) Impact of the four-wave quasi-resonance on freak wave shapes in the ocean. Ocean Dynamics 69(1):101-121. DOI:10.1007/s10236-018-1234-9
Gramstad O, Trulsen K (2007) Influence of crest and group length on the occurrence of freak waves. Journal of Fluid Mechanics 582:463-472. DOI:10.1017/s0022112007006507
Janssen PAEM (2003) Nonlinear four-wave interactions and freak waves. Journal of Physical Oceanography 33(4):863-884. DOI:10.1175/1520-0485(2003)33<863:Nfiafw>2.0.Co;2
Li J, Yang J, Liu S, Ji X (2015) Wave groupiness analysis of the process of 2D freak wave generation in random wave trains. Ocean Engineering 104:480-488. DOI:10.1016/j.oceaneng. 2015. 05.034
Luxmoore JF, Ilic S, Mori N (2019) On kurtosis and extreme waves in crossing directional seas:a laboratory experiment. Journal of Fluid Mechanics 876:792-817. DOI:10.1017/jfm.2019.575
Ma Y, Dong G, Perlin M, Ma X, Wang G (2012) Experimental investigation on the evolution of the modulation instability with dissipation. Journal of Fluid Mechanics 711:101-121. DOI:10.1017/jfm.2012.372
Mori N (2003) Effects of wave breaking on wave statistics for deepwater random wave train. Ocean Engineering 30(2):205-220.DOI:10.1016/S0029-8018(02)00017-3
Mori N (2004) Occurrence probability of a freak wave in a nonlinear wave field. Ocean Engineering 31(2):165-175. DOI:10.1016/s0029-8018(03)00119-7
Mori N, Janssen PAEM (2006) On kurtosis and occurrence probability of freak waves. Journal of Physical Oceanography 36(7):1471-1483. DOI:10.1175/Jpo2922.1
Onorato M, Osborne AR, Serio M, Bertone S (2001) Freak waves in random oceanic sea states. Physical Review Letters 86(25):5831-5834. DOI:10.1103/PhysRevLett.86.5831
Onorato M, Osborne AR, Serio M, Cavaleri L, Brandini C, Stansberg C (2006) Extreme waves, modulational instability and second order theory:wave flume experiments on irregular waves. European Journal of Mechanics-B/Fluids 25(5):586-601. DOI:10.1016/j.euromechflu.2006.01.002
Ponce de León S, Guedes Soares C (2014) Extreme wave parameters under North Atlantic extratropical cyclones. Ocean Modelling 81:78-88. DOI:10.1016/j.ocemod.2014.07.005
Qi K (2016) Long-term evolution of modulated Stokes wave trains and its associated freak wave characteristics. Master thesis, Hohai University, Nanjing, 46-56. (in Chinese)
Ruban VP (2016) Predictability of the appearance of anomalous waves at sufficiently small Benjamin-Feir indices. JETP Letters 103(9):568-572. DOI:10.1134/S0021364016090083
Tang T, Xu W, Barratt D, Bingham HB, Li Y, Taylor PH, Van Den Bremer TS, Adcock TAA (2020) Spatial evolution of the kurtosis of steep unidirectional random waves. Journal of Fluid Mechanics 908:A-3. DOI:10.1017/jfm.2020.841
Tao A (2007) Nonlinear wave trains evolution and Freak wave generation mechanisms in deep water. PhD thesis, Hohai University, Nanjing, 22-35. (in Chinese)
Tao A, Qi K, Zheng J, Peng J, Wu Y (2014) The occurrence probabilities of rogue waves in different nonlinear stages. 34th International Conference on Coastal Engineering 2014, Seoul, 1(34):35. DOI:10.9753/icce.v34.waves.35
Tao A, Xie S, Wu D, Fan J, Yang Y (2021) The effects on water particle velocity of wave peaks induced by nonlinearity under different time scales. Journal of Marine Science and Engineering 9:748. DOI:10.3390/jmse9070748
Tao A, Yan Y, Zheng J, Zhang W (2010) Characteristics of Stokes wave train long time evolution. Chinese-German Joint Symposium on Hydraulic and Ocean Engineering, Tianjin, 284-287.
Tao A, Zheng J, Chen B, Li H, Peng J (2012) Properties of freak waves induced by two kinds of nonlinear mechanisms. 33rd International Conference on Coastal Engineering 2012, Santander, Spain West BJ, Brueckner KA, Janda RS, Milder DM, Milton RL (1987) A new numerical method for surface hydrodynamics. Journal of Geophysical Research 92(C11):11803-11824. DOI:10.1029/JC092iC11p11803
Wu G (2004) Direct simulation and deterministic prediction of large scale nonlinear ocean wave field. PhD Thesis, massachusetts Institute of Technology, Cambridge, USA
Xia W, Ma Y, Dong G (2015) Numerical simulation of freak waves in random sea state. Procedia Engineering 116:366-372. DOI:10.1016/j.proeng.2015.08.300
Xiao W, Liu Y, Wu G, Yue DKP (2013) Rogue wave occurrence and dynamics by direct simulations of nonlinear wave-field evolution.Journal of Fluid Mechanics 720:357-392. DOI:10.1017/jfm.2013.37
Zheng K, Zhao B, Duan W, Ertekin R, Chen X (2016) Simulation of evolution of gravity wave groups with moderate steepness. Ocean Modelling 98:1-11. DOI:10.1016/j.ocemod.2015.12.003

Memo

Memo:
Received date:2022-7-2;Accepted date:2022-10-17。<br>Foundation item:Supported by the National Key Research and Development Program of China (Grant No. 2022YFE0104500), the National Natural Science Foundation of China (Grant No. 52271271), and the Major Science and Technology Project of the Ministry of Water Resources of the People’s Republic of China (Grant No. SKS- 2022025).<br>Corresponding author:Aifeng Tao,E-mail:aftao@hhu.edu.cn
Last Update: 2023-04-10