| 李佳蔚,贾雨晴,鹿力成,郭圣明,马力.利用气枪声源数据的地声参数反演*[J].,2019,38(3):440-447 |
| 利用气枪声源数据的地声参数反演* |
| Inversion of geoacoustics parameters using air-gun data |
| 投稿时间：2018-09-28 修订日期：2019-04-28 |
| 中文摘要: |
| 本文通过对东海采集的气枪声源数据进行处理，基于地声参数对不同声场观测量的敏感性差异，利用分步反演的策略进行分析。首先选择距离接收阵七个不同的距离点数据，通过warping变换准确提取第三阶至第八阶简正波的频散曲线；利用海底声速对频散曲线敏感的特性来反演声速；由Hamilton经验公式求得海底密度；通过传播损失拟合获得海底衰减。不同距离点数据反演的海底声速与密度一致性较高。实验提取的频散曲线和和反演参数仿真结果、实验获取的传播损失与反演参数获得传播损失均拟合较好。 |
| 英文摘要: |
| This article deals with the acoustic data obtained from the air-gun sources in the East China sea. Since the seabed properties have great affects on the pressure field, transmission loss (TL), group speed etc. taking into consideration the fact that Geoacoustics parameters have different sensitivity for them, The strategy of Multi-Step Inversion is used in this paper. Seven source data at different distances use the warping transformation to extract the dispersion curves from third mode to eighth mode accurately . Then using the dispersion curves to invert the sound speed. According to the Hamilton empirical function between the seabed sound speed and bottom density to calculate the latter. The bottom attenuation was inverted by using transmission loss. The inversion result of seabed sound velocity and density has a high consistency. The dispersion curves and transmission loss calculated using the inverted parameters matches the experiment data well. |
| DOI：10.11684/j.issn.1000-310X.2019.03.022 |
| 中文关键词: warping变换,频散曲线,分步反演 |
| 英文关键词: Warping transformation, Dispersion curves, Multi-Step Inversion |
| 基金项目:国家自然科学基金项目 (11004214) |
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