日本“3·11”海啸引起的乐清湾共振研究

刘勇; 卢文芳; 应超; 李新文; 姚文伟

doi:10.3969/j.issn.1001-909X.2019.03.004

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海洋学研究 ›› 2019, Vol. 37 ›› Issue (3) : 31-39. DOI: 10.3969/j.issn.1001-909X.2019.03.004

研究论文

日本“3·11”海啸引起的乐清湾共振研究

刘勇¹, 卢文芳^*2,3, 应超¹, 李新文¹, 姚文伟¹

作者信息 +

Resonance in the Yueqing Bay generated by March 11 Japan Tsunami

LIU Yong¹, LU Wen-fang^*2,3, YING Chao¹, LI Xin-wen¹, YAO Wen-wei¹

Author information +

文章历史 +

摘要

本文基于TELEMAC-2D模型建立太平洋区域海啸传播模型,模拟2011年日本“3·11”海啸事件下海啸波的传播。使用实测数据对该模型进行验证,在模型验证良好的基础上分析日本“3·11”海啸事件对乐清湾的影响。通过频谱分析得到“3·11”海啸激发的乐清湾内240、180和103 min这3个主导模态的幅值及其相位。通过白噪声实验对乐清湾的固有共振特征进行估算,进一步支持了乐清湾在上述3个模态发生共振这一结论。白噪声实验还表明,海啸等海洋灾害发生时会在乐清湾湾顶及湾口处产生较大的增水,该结论对乐清湾内海洋灾害风险防范具有指导意义。

Abstract

In this study, a numerical model based on TELEMAC-2D was developed for the Pacific Ocean and the China Seas to simulate the propagation of the tsunami wave of the Honshu (Japan) tsunami event on March 11^th, 2011. After validated against in-situ observation data from buoys, the influence of this event on the Yueqing Bay was investigated. By using a spectrum analysis, the amplitudes and phases of the resonance waves in the Yueqing Bay were found with the dominating periods of 240 min, 180 min and 103 min. A regional model driven by a white-noise-like boundary condition further elucidated the property of the natural oscillation at these periods, further supporting the finding of the three resonance modes. Moreover, the white-noise-driven model suggested that maximum amplitudes would appear both in the upper bay and at the bay mouth when tsunami disasters occurred. The conclusion of this paper can be instructive for disaster management and reduction of local governance.

导出引用

刘勇, 卢文芳, 应超, 李新文, 姚文伟. 日本“3·11”海啸引起的乐清湾共振研究[J]. 海洋学研究. 2019, 37(3): 31-39 https://doi.org/10.3969/j.issn.1001-909X.2019.03.004

LIU Yong, LU Wen-fang, YING Chao, LI Xin-wen, YAO Wen-wei. Resonance in the Yueqing Bay generated by March 11 Japan Tsunami[J]. Journal of Marine Sciences. 2019, 37(3): 31-39 https://doi.org/10.3969/j.issn.1001-909X.2019.03.004

中图分类号： P731.25

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基金

福建省自然基金面上项目资助(2019J01650);国家自然科学基金青年项目资助(41906019);浙江省水利科技项目资助(RC1831);中国博士后基金会博士后基金资助(2019M652245);海西政务大数据应用协同创新中心项目资助(2015750401);中央引导地方科技发展专项资助(2017L3012);浙江省科技计划项目资助(2017F30007,2018F10026)