Geoacoustic inversion

地声反演

• 批准号: 185710-2009
• 负责人: Dosso, Stanley
• 金额: $ 3.79万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=423090
• 关键词: Geoacoustic; inversion

GEOACOUSTIC INVERSION: Seabed geoacoustic parameters, such as sediment layering structure, sound speed, density, attenuation and scattering strength, strongly affect the propogagion of ocean acoustic fields. Hence, knowledge of these parameters is required to understand and model sound propagation in shallow-water environments, as required for many sonar applications (as well as geotechnical and geological purposes). Estimating seabed parameters from ocean acoustic measurements provides an economical and convenient in situ alternative to direct sampling (e.g., coring), with a sensitivity relevant to sonar. However, this requires solving a strongly nonlinear inverse problem that is inherently nonunique (i.e., a range of solutions can acceptably fit the data). A variety of geoacoustic inversion approaches have been applied, with varying degrees of success, including the inversion of full-field acoustic measurements, acoustic reverberation, seabed reflectivity, ambient noise, and ship noise. These approaches differ in their ability to estimate various geoacoustic parameters and to resolve parameter variations as a function of depth and/or range; however, the efficacy of these approaches has not been examined in a systematic or rigorous way. The overall objectives of this proposal are to develop and quantitatively study and compare the above-mentioned approaches to geoacoustic inversion. A key component of quantitative analysis of geoacoustic inversion is estimating the uncertainties of the recovered parameters, which indicates the information content of the data and provides an objective basis for comparison of different data sets. Further, only with quantitative uncertainty estimation can issues such as resolving parameter spatial variability or frequency dependence be addressed in a meaningful manner (e.g., differentiating uncertainty from variability). Parameter uncertainty estimation in nonlinear inversion is itself a challenging research problem. This proposal is based on a Bayesian inference formulation and a numerical (statistical) sampling approach, under development, that builds up probability distributions for the unknown seabed parameters based on the data and available physical constraints (prior information).

地质声学反演：海底地声参数，如沉积物分层结构、声速、密度、衰减和散射强度等，对海洋声场的传播有很大影响。因此，如许多声纳应用(以及岩土工程和地质目的)所需，需要了解这些参数以了解浅水环境中的声音传播并对其进行建模。根据海洋声学测量估计海底参数提供了一种经济和方便的现场直接采样(例如取心)替代方法，具有与声纳相关的灵敏度。然而，这需要解决一个本质上不唯一的强非线性逆问题(即，一定范围的解可以令人接受地符合数据)。已经应用了各种地声反演方法，并取得了不同程度的成功，包括全场声学测量、声波混响、海底反射率、环境噪声和船舶噪声的反演。这些方法在估计各种地声参数和解决参数随深度和(或)距离变化的能力方面各不相同；然而，这些方法的有效性尚未得到系统或严格的检验。本提案的总体目标是开发并定量研究和比较上述地声反演方法。地声反演定量分析的一个关键环节是对恢复参数的不确定性进行估计，它反映了数据的信息量，为不同数据集的对比提供了客观依据。此外，只有通过定量的不确定性估计，才能以有意义的方式处理诸如解决参数的空间可变性或频率相关性等问题(例如，区分不确定性和可变性)。非线性反演中的参数不确定性估计本身就是一个具有挑战性的研究问题。这一建议的基础是贝叶斯推断公式和正在开发的数字(统计)抽样方法，该方法根据数据和现有的物理约束(先验信息)建立未知海底参数的概率分布。