The change characteristics of the calculated wind wave fields near lateral boundaries with SWAN model

ZHANG Hongsheng ZHAO Jiachen LI Penghui YUE Wenhan WANG Zhenxiang

张洪生, 赵家晨, 李朋辉, 岳文翰, 王真祥. 利用SWAN模型计算的侧边界附近风浪场的变化特征[J]. 海洋学报英文版, 2016, 35(1): 96-105. doi: 10.1007/s13131-016-0800-6
引用本文: 张洪生, 赵家晨, 李朋辉, 岳文翰, 王真祥. 利用SWAN模型计算的侧边界附近风浪场的变化特征[J]. 海洋学报英文版, 2016, 35(1): 96-105. doi: 10.1007/s13131-016-0800-6
ZHANG Hongsheng, ZHAO Jiachen, LI Penghui, YUE Wenhan, WANG Zhenxiang. The change characteristics of the calculated wind wave fields near lateral boundaries with SWAN model[J]. Acta Oceanologica Sinica, 2016, 35(1): 96-105. doi: 10.1007/s13131-016-0800-6
Citation: ZHANG Hongsheng, ZHAO Jiachen, LI Penghui, YUE Wenhan, WANG Zhenxiang. The change characteristics of the calculated wind wave fields near lateral boundaries with SWAN model[J]. Acta Oceanologica Sinica, 2016, 35(1): 96-105. doi: 10.1007/s13131-016-0800-6

利用SWAN模型计算的侧边界附近风浪场的变化特征

doi: 10.1007/s13131-016-0800-6

The change characteristics of the calculated wind wave fields near lateral boundaries with SWAN model

  • 摘要: 鉴于SWAN模型不能有效地模拟侧边界附近的风浪场,详细研究了在不同水深和风速情况下模型侧边界附近波要素,包括波高、周期、波向和波长的变化特征和失真范围。计算结果表明水深和风速的变化对于侧边界附近不同波要素的影响是不同的。在风速一定的情况下,失真范围随着水深的增大而增大。在水深一定的情况下,根据波高、周期和波长的相对误差所计算的失真范围与根据他们的绝对误差所计算的失真范围不同。随着风速的增大,根据相对误差所计算的失真范围减小;而根据绝对误差所计算的失真范围变化不大。随着风速的增大,波向的失真范围减小。研究了在水深变化的水域,包括太湖和淀山湖在内的侧边界附近的风浪场,结果表明如果计算范围不适当扩大确实会导致侧边界附近的风浪场失真。因此在利用SWAN模型模拟计算近岸或内陆湖泊风浪场时,需采取适当的措施以减小计算误差。
  • Booij N, Ris R C, Holthuijsen L H. 1999. A third-generation wave model for coastal regions: 1. model description and validation. Journal of Geophysical Research, 104(C4): 7649-7666
    Bottema M, van Vledder G P. 2009. A ten-year data set for fetch-and depth-limited wave growth. Coastal Engineering, 56(6): 703-725
    Gelci R, Cazalé H, Vassal J. 1956. Utilization des diagrammes de propagation à la prévision énergéltique de la houle. Info Bull (in French), 8(4): 160-179
    Gorrell L, Raubenheimer B, Elgar S, et al. 2011. SWAN predictions of waves observed in shallow water onshore of complex bathymetry. Coastal Engineering, 58(6): 510-516 Holthuijsen L H, Herman A, Booij N. 2003. Phase-decoupled refraction- diffraction for spectral wave models. Coastal Engineering, 49(4): 291-305
    Hsu T W, Ou S H, Liau J M. 2005. Hindcasting nearshore wind waves using a FEM code for SWAN. Coastal Engineering, 52(2): 177-195
    Jia Xiao, Pan Junning, Niclasen B. 2010. Improvement and validation of wind energy input in SWAN model. Journal of Hohai University (Natural Sciences) (in Chinese), 38(5): 585-591
    Lin Weiqi, Sanford L P, Suttles S E. 2002. Wave measurement and modeling in Chesapeake Bay. Continental Shelf Research, 22(18-19): 2673-2686
    Moeini M H, Etemad-Shahidi A. 2009. Wave parameter hindcasting in a lake using the SWAN model. Scientia Iranica, Transaction A: Civil Engineering, 16(2): 156-164
    Ris R C, Holthuijsen L, Booij N. 1999. A third-generation wave model for coastal regions, 2. Verification. Journal of Geophysical Research, 104(C4): 7667-7681
    Rogers W E, Kaihatu J M, Hsu L, et al. 2007. Forecasting and hindcasting waves with the SWAN model in the Southern California Bight. Coastal Engineering, 54(1): 1-15
    Rusu E, Goncalves M, Soares C G. 2011. Evaluation of the wave transformation in an open bay with two spectral models. Ocean Engineering, 38(16): 1763-1781
    Shi J Z, Luther Mark E, Meyers S. 2006. Modelling of wind wave-induced bottom processes during the slack water periods in Tampa Bay, Florida. International Journal for Numerical Methods in Fluids, 52(11): 1277-1292
    Signell R P, Carniel S, Cavaleri L, et al. 2005. Assessment of wind quality for oceanographic modelling in semi-enclosed basins. Journal of Marine Systems, 53 (4): 217-233
    Smith G A, Babanin A V, Riedel P, et al. 2011. Introduction of a new friction routine into the SWAN model that evaluates roughness due to bedform and sediment size changes. Coastal Engineering, 58(4): 317-326
    The SWAMP Group. 1985. Ocean Wave Modeling. New York: Plenum The SWAN Team. 2013. SWAN Technical Documentation. The Netherlands: Delft University of Technology The SWIM Group. 1985. A shallow water intercomparison of three numerical wave prediction models (Swim). Quarterly Journal of the Royal Meteorological Society, 111(470): 1087-1112
    The WAMDI Group. 1988. The WAM model-A third generation ocean wave prediction model. Journal of Physical Oceanography, 18: 1775-1810
    Tolman H L. 1991. A third-generation model for wind waves on slowly varying, unsteady, and inhomogeneous depths and currents. Journal of Physical Oceanography, 21(6): 782-797
    van der Westhuysen A J, Zijlema M, Battjes J A. 2007. Nonlinear saturation- based whitecapping dissipation in SWAN for deep and shallow water. Coastal Engineering, 54(2): 151-170
    Xu Fumin, Zhang Changkuan, Mao Lihua, et al. 2000. Application of a numerical model for shallow water waves. Journal of Hydrodynamics (in Chinese), 15(4): 429-434
    Zhang Hongsheng, Gu Junbo, Wang Hailong, et al. 2013. Simulating wind wave field near the Pearl River Estuary with SWAN nested in WAVEWATCH. Journal of Tropical Oceanography (in Chinese), 32(1): 8-17
    Zhang Hongsheng, Zhou Enxian, Dai Su, et al. 2016. Comparison of the calculated and measured wave heights in Inland Lakes. Journal of Coastal Research, 32(3) (Being Printed) Zijlema M. 2010. Computation of wind-wave spectra in coastal waters with SWAN on unstructured grids. Coastal Engineering, 57(3): 267-277
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  • 收稿日期:  2015-02-13
  • 修回日期:  2015-04-15

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