基于Sobol法的海底反向散射模型参数敏感度分析
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摘要
为了对海底声学参数反演中的估计精度做出预估,合理解释反演结果,本文基于Jackson海底声散射模型,利用Sobol算法,对该模型中的耗散系数、速度比等7个参数进行定量的敏感度分析。Sobol算法可以给出参数的一阶敏感度和参数间相互作用的敏感度,适用于分析散射强度的影响因子。仿真结果表明,所选择的声波频率对于参数的敏感度影响不大,模型各参数交互作用较为强烈,速度比的全局敏感度最大,而耗散系数敏感度很小。将参数划分为地声属性参数、粗糙度参数和非均匀性参数,地声属性参数敏感度最大。模型参数敏感度分析结果对于反演有一定的指导作用。
In order to make a reasonable estimation of the accuracy in the acoustic parameters inversion of the seabed and interpret the inversion results, based on the Jackson seafloor acoustic scattering model, this paper evaluated the sensitivity of seven parameters such as the dissipation coefficient and the speed ratio of the model using the Sobol algorithm. The Sobol algorithm can give the first-order sensitivity of the parameters and the sensitivity of the interaction between the parameters,and it is suitable for analyzing the influence factors of the scattering intensity. The simulation results show that the selected acoustic frequencies have little effect on the sensitivity of the parameters. The interaction between the parameters of the model is strong, while the global sensitivity of the speed ratio is the highest, and the sensitivity of the dissipation coefficient is the least. The parameters are divided into geoacoustic parameters, roughness parameters and non-uniformity parameters, with the geoacoustic attribute parameters have the highest sensitivity. The sensitivity analysis results of model parameter may provide reference to relative measurement and inversion.
In order to make a reasonable estimation of the accuracy in the acoustic parameters inversion of the seabed and interpret the inversion results, based on the Jackson seafloor acoustic scattering model, this paper evaluated the sensitivity of seven parameters such as the dissipation coefficient and the speed ratio of the model using the Sobol algorithm. The Sobol algorithm can give the first-order sensitivity of the parameters and the sensitivity of the interaction between the parameters,and it is suitable for analyzing the influence factors of the scattering intensity. The simulation results show that the selected acoustic frequencies have little effect on the sensitivity of the parameters. The interaction between the parameters of the model is strong, while the global sensitivity of the speed ratio is the highest, and the sensitivity of the dissipation coefficient is the least. The parameters are divided into geoacoustic parameters, roughness parameters and non-uniformity parameters, with the geoacoustic attribute parameters have the highest sensitivity. The sensitivity analysis results of model parameter may provide reference to relative measurement and inversion.
引文
Cutter G R,Demer D A,2014.Seabed classification using surface backscattering strength versus acoustic frequency and incidence angle measured with vertical,split-beam echosounders.Ices Journal of Marine Science,71(4):882-894.
Jackson D R,Briggs K B,1992.High frequency bottom backscattering:Roughness versus sediment volume scattering.J.acoust.soc.am,92(92):962-977.
Jackson D R,Richardson M D,2007.High-Frequency Seafloor Acoustics.Journal of the Acoustical Society of America,122(5):2497.
Jackson D R,Odom R I,Boyd M L,et al,2010.A geoacoustic bottom interaction model(GABIM).IEEE Journal of Oceanic Engineering,35(3):603-617.
Shin,et al,2013.Addressing ten questions about conceptual rainfallrunoff models with global sensitivity analyses in R.Journal of Hydrology.503:p.135-152.
Tang Y,Reed P,Van Werkhoven K,et al,2007.Advancing the identification and evaluation of distributed rainfall-runoff models using global sensitivity analysis.Water Resources Research,43(6):1-14.
Thorsos E I,Williams K L,Chotiros N P,et al,2001.An overview of SAX99:acoustic measurements.IEEE Journal of Oceanic Engineering,26(1):4-25.
Williams K L,Jackson D R,Thorsos E I,et al,2002.Acoustic backscattering experiments in a well characterized sand sediment:data/model comparisons using sediment fluid and Biot models.Oceanic Engineering IEEE Journal of,27(3):376-387.
Williams,K.L,et al,2009.Acoustic backscattering from a sand and a sand/nud environment:experiments and data/model comparisons.34(4):388-398.
陈翔,王义刚,黄惠明,等,2016.海域环境对悬浮泥沙扩散影响的敏感性分析.海洋通报,35(2):194-200.
关皓,高峰,李荔姗,等.2012.区域海-气耦合模式对海表粗糙度参数化方案的敏感性研究.海洋通报,31(5):520-529.
何琨,严正,徐潇源,等,2018.基于Sobol′法的孤岛微电网潮流全局灵敏度分析.电力系统自动化,(14):105-112.
李启虎,2001.水声学研究进展.声学学报,(4):295-301.
李通旭,2014.掩埋水雷目标探测技术研究.西安:西北工业大学.
刘保华,阚光明,裴彦良,等,2017.海底声散射特性研究进展.海洋学报,39(7):1-11.
修宗祥,刘乐军,解秋红,等,2016.基于小尺度数值模型的海底滑坡运动敏感性分析.海洋通报,35(4):380-385.
杨玉春,2015.基于Jackson模型的高频海底散射研究.声学与电子工程,(4):33-36.
于盛齐,2014.基于反向散射强度的海底参数反演方法研究.哈尔滨:哈尔滨工程大学.
Jackson D R,Briggs K B,1992.High frequency bottom backscattering:Roughness versus sediment volume scattering.J.acoust.soc.am,92(92):962-977.
Jackson D R,Richardson M D,2007.High-Frequency Seafloor Acoustics.Journal of the Acoustical Society of America,122(5):2497.
Jackson D R,Odom R I,Boyd M L,et al,2010.A geoacoustic bottom interaction model(GABIM).IEEE Journal of Oceanic Engineering,35(3):603-617.
Shin,et al,2013.Addressing ten questions about conceptual rainfallrunoff models with global sensitivity analyses in R.Journal of Hydrology.503:p.135-152.
Tang Y,Reed P,Van Werkhoven K,et al,2007.Advancing the identification and evaluation of distributed rainfall-runoff models using global sensitivity analysis.Water Resources Research,43(6):1-14.
Thorsos E I,Williams K L,Chotiros N P,et al,2001.An overview of SAX99:acoustic measurements.IEEE Journal of Oceanic Engineering,26(1):4-25.
Williams K L,Jackson D R,Thorsos E I,et al,2002.Acoustic backscattering experiments in a well characterized sand sediment:data/model comparisons using sediment fluid and Biot models.Oceanic Engineering IEEE Journal of,27(3):376-387.
Williams,K.L,et al,2009.Acoustic backscattering from a sand and a sand/nud environment:experiments and data/model comparisons.34(4):388-398.
陈翔,王义刚,黄惠明,等,2016.海域环境对悬浮泥沙扩散影响的敏感性分析.海洋通报,35(2):194-200.
关皓,高峰,李荔姗,等.2012.区域海-气耦合模式对海表粗糙度参数化方案的敏感性研究.海洋通报,31(5):520-529.
何琨,严正,徐潇源,等,2018.基于Sobol′法的孤岛微电网潮流全局灵敏度分析.电力系统自动化,(14):105-112.
李启虎,2001.水声学研究进展.声学学报,(4):295-301.
李通旭,2014.掩埋水雷目标探测技术研究.西安:西北工业大学.
刘保华,阚光明,裴彦良,等,2017.海底声散射特性研究进展.海洋学报,39(7):1-11.
修宗祥,刘乐军,解秋红,等,2016.基于小尺度数值模型的海底滑坡运动敏感性分析.海洋通报,35(4):380-385.
杨玉春,2015.基于Jackson模型的高频海底散射研究.声学与电子工程,(4):33-36.
于盛齐,2014.基于反向散射强度的海底参数反演方法研究.哈尔滨:哈尔滨工程大学.