浅海环境不确定性对声场扰动的影响  

Analysis of acoustic field perturbation due to environment uncertainty in shallow water

作　　者：高飞[1] 潘长明[1] 孙磊[1] 桂发银[1] 

机构地区：[1]海军海洋测绘研究所,天津300061

出　　处：《声学技术》2017年第4期309-314,共6页Technical Acoustics

基　　金：国家自然科学基金资助项目(41276088);国家海洋公益性行业科研项目(2012050007-7)

摘　　要：探索海洋环境各水声参数的不确定性所引发的声场扰动,对提高水声场预报的准确性与科学性至关重要,极具理论意义与应用价值。基于Workshop’97浅海环境基准模型,以扰动声场与实际声场的相关性函数作为量化指标,通过Kraken波动理论数值模型与马尔科夫链蒙特卡罗随机统计思想,基于单因子变量原则模拟分析了浅海水平不变环境中各水声参数声场扰动敏感性大小及其相关性,结果表明:沉积层声速C_1、水深D_1敏感性最强,沉积层衰减系数αs、沉积层密度ρs、沉积层声速C_2、沉积层厚度D_2、基底声速C_3次之,基底衰减系数αb、基底密度ρb几乎无影响;αs、ρs、C_1、D_1敏感性随距离增加逐渐增强,C_2、D_2、C_3敏感性随距离增加逐渐减弱;D_2、C_2,D_2、C_3,C_1、C_3,C_2、C_3之间存在较强的正相关性,D_2、C_1,C_1、C_2之间为显著的负相关性。Comparing the perturbation scale of underwater acoustic field due to environment uncertainty is of great theoretical significance and application value, which is important to improve the accuracy of underwater acoustic field prediction. In this paper, the likelihood function is constructed between the primary and perturbation sound field, which is used as the acoustic perturbation indicator. And, the numerical model of Kraken normal mode and the MCMC（Markov Chain Monte Carlo） method are used to analyze the acoustic perturbation and the correlation between different parameters, which result from the random variation of environment parameters, based on single variable principle and Workshop’97 shallow-water benchmark environment model. The results show that the parameters C1 and D1 are the most sensitive to acoustic perturbation, while the αs, ρs, C2, D2, C3 are less, and the αb and ρb are almost none of influence; The sensitivities of αs, ρs, C1, D1 increase with distance increasing, while the sensitivities of C2, D2, C3 attenuate. It is found that reasonably strong positive correlations exist between D2 and C2, D2 and C3, C1 and C3, C2 and C3, and obvious negative correlations exist between D2 and C1, C1 and C2.

关 键 词：海洋环境不确定性 声场扰动 相关性 似然函数 Kraken简正波模型 马尔科夫链蒙特卡罗方法 

分 类 号：TB556[理学—物理]