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基于砂质海岸剖面形态数值模拟的参数敏感度分析
邢浩,张丽丽,李华庆,张旭日,李彬,石洪源,尤再进
1.鲁东大学;2.大连理工大学;3.大连海事大学
摘要:
该文基于波浪水槽实验通过广义似然不确定性估计法(GLUE)对XBeach模型中的波浪非线性(facua)、沙滩湿崩塌临界坡度(wetslp)、波能耗散(alpha)等调试参数进行敏感性分析,阐述所选参数的物理意义及控制方程,选取不同的参数值观察岸滩剖面演变过程,并通过Brier Skill Score评价方法对模拟效果进行评价。结果表明改变参数值大小会得到不同的岸滩剖面模拟形态。其中参数facua控制波形,波浪由于非线性作用于岸滩会使剖面发生不同趋势的演变,改变facua参数值能够改变模拟剖面演化的趋势,使得模拟地形剖面演变产生较大的变化;参数wetslp作为湿崩塌临界斜率,改变其数值大小模拟地形改变的首要特征为剖面坡度;参数alpha作为波能耗散系数,改变其值会影响破波所释放的能量,从而影响剖面的侵淤程度。最终选取三者值分别为0.65、0.2、1.3,与水槽实验结果拟合最好。该结果对于XBeach的研究及应用具有一定的参考意义。
关键词:  岸滩形态  数值模拟  XBeach  参数敏感性
DOI:
分类号:
基金项目:NSFC-山东联合重点基金(U1806227);NSFC-山东联合重点基金(U1906231)
Parameter sensitivity analysis based on numerical simulation of sandy coast profile
xinghao1, zhanglili2, lihuaqing2, zhangxuri2, libin3, shihongyuan2, youzaijin4
1.鲁东大学;2.Ludong University;3.Dalian University of Technology;4.Dalian Maritime University
Abstract:
Based on the wave flume experiment, sensitivity analysis of wave nonlinearity (facua), beach wet collapse critical slope (wetslp), wave energy dissipation (alpha) and other tunable parameters in XBeach model is carried out by generalized likelihood uncertainty estimation (GLUE) method. Physical meaning and governing equations of selected parameters are described. Different parameter values are selected to observe the evolution process of shoreline profile, and the simulation result is evaluated by Brier Skill Score. The results show that different morphology of shoreline profile can be obtained by changing parameter values. The parameter facua controls the waveform, and the wave will change the profile with different trends due to the nonlinear action on the shoreline. Changing the parameter value of facua can change the evolution trend of the simulated profile, resulting in great changes in the terrain evolution of the simulated profile. The parameter wetslp is used as the critical slope of wet collapse, and the primary characteristic of simulating topographic changes by changing its numerical value is the profile slope. The parameter alpha is the dissipation coefficient of wave energy, and changing its value will affect the energy released by the breaking wave, thus affecting the degree of erosion and deposition of the profile. Finally, the three values were 0.65, 0.2 and 1.3 respectively, which fit the best with the flume experiment results. The results have certain reference significance for the research and application of XBeach
Key words:  beach morphology  the numerical simulation  XBeach  parameter sensitivity
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