| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Reconstructions of time-evolving sound-speed fields perturbed by deformed and dispersive internal solitary waves in shallow water |
| Qin-Ran Li(李沁然)1,2, Chao Sun(孙超)1,2,3,†, Lei Xie(谢磊)1,2,‡, and Xiao-Dong Huang(黄晓冬)4,5,6 |
1 School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China;
2 Shaanxi Key Laboratory of Underwater Information Technology, Xi'an 710072, China;
3 Qingdao Research Institute, Northwestern Polytechnical University, Qingdao 266200, China;
4 Frontier Science Center for Deep Ocean Multispheres and Earth System(FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China;
5 Key Laboratory of Ocean Observation and Information of Hainan Province and Sanya Oceanographic Institution, Ocean University of China, Sanya 572024, China;
6 Laoshan Laboratory, Qingdao 266237, China |
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Abstract The high-fidelity reconstruction of sound speeds is crucial for predicting acoustic propagation in shallow water where internal solitary waves (ISWs) are prevalent. Mapping temperatures from time series to spatial fields is an approach widely used to reproduce the sound speed perturbed by deformed internal waves. However, wave-shape distortions are inherent in the modeling results. This paper analyzes the formation mechanism and dynamic behavior of the distorted waveform that is shown to arise from the mismatch between the modeled and real propagation speeds of individual solitons within an ISW packet. To mitigate distortions, a reconstruction method incorporating the dispersion property of an ISW train is proposed here. The principle is to assign each soliton a real speed observed in the experiment. Then, the modeled solitons propagate at their intrinsic speeds, and the packet disperses naturally with time. The method is applied to reconstruct the sound speed perturbed by ISWs in the South China Sea. The mean and median of the root-mean-square error between the reconstructed and measured sound speeds are below 2 m/s. The modeled shape deformations and packet dispersion agree well with observations, and the waveform distortion is reduced compared with the original method. This work ensures the high fidelity of waveguide-environment reconstructions and facilitates the investigation of sound propagation in the future.
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Received: 06 June 2023
Revised: 20 August 2023
Accepted manuscript online: 11 September 2023
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PACS:
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47.35.Fg
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(Solitary waves)
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46.40.Cd
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(Mechanical wave propagation (including diffraction, scattering, and dispersion))
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43.58.Dj
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(Sound velocity)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos.11534009, 11904342, and 12274348). The authors would like to thank all participants working in the field experiment and the early preparations. Their great efforts contributed to the valuable data for this paper. The authors also thank the GEBCO Compilation Group (2023) GEBCO 2023 Grid (doi:10.5285/f98b053b-0cbc-6c23-e053-6c86abc0af7b) for providing the bathymetry data. |
Corresponding Authors:
Chao Sun, Lei Xie
E-mail: csun@nwpu.edu.cn;xielei2014@mail.nwpu.edu.cn
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Cite this article:
Qin-Ran Li(李沁然), Chao Sun(孙超), Lei Xie(谢磊), and Xiao-Dong Huang(黄晓冬) Reconstructions of time-evolving sound-speed fields perturbed by deformed and dispersive internal solitary waves in shallow water 2023 Chin. Phys. B 32 124701
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[1] Jackson C 2007 J. Geophys. Res.: Oceans 112 C11012
[2] Jackson C R, Da Silva J C and Jeans G 2012 Oceanography 25 108
[3] Apel J R, Ostrovsky L A, Stepanyants Y A and Lynch J F 2007 J. Acoust. Soc. Am. 121 695
[4] Lynch J F, Jin G, Pawlowicz R, Ray D, Plueddemann A J, Chiu C S, Miller J H, Bourke R H, Parsons A R and Muench R 1996 J. Acoust. Soc. Am. 99 803
[5] Zhou J X, Zhang X Z and Rogers P H 1991 J. Acoust. Soc. Am. 90 2042
[6] Apel J R 2003 J. Phys. Oceanogr. 33 2247
[7] Finette S, Orr M H, Turgut A, et al. 2000 J. Acoust. Soc. Am. 108 957
[8] Duncan A J, Shimizu K, Parnum I M, MacLeod R and Buchan S 2019 Proceedings of Acoustics, November 10--13, 2019, Cape Schanck, Victoria, Australia, p. 2
[9] Marshall J, Hill C, Perelman L and Adcroft A 1997 J. Geophys. Res.: Oceans 102 5733
[10] Lermusiaux P F, Xu J, Chen C F, Jan S, Chiu L Y and Yang Y J 2010 IEEE J. Ocean. Eng. 35 895
[11] Duda T F, Lin Y T, Newhall A E, Helfrich K R, Lynch J F, Zhang W G, Lermusiaux P F and Wilkin J 2019 J. Acoust. Soc. Am. 146 1996
[12] Casagrande G, Stephan Y, Varnas A C W and Folegot T 2011 IEEE J. Ocean. Eng. 36 745
[13] Chen P Q, Cheng L, Zhang T, Zhao H F and Li J L 2022 J. Acoust. Soc. Am. 152 2601
[14] Duda T F, Lin Y T and Reeder D B 2011 J. Acoust. Soc. Am. 130 1173
[15] Qu K, 453 Piao S C and Zhu F Q 2019 Acta Phys. Sin. 68 124302 (in Chinese)
[16] Jiang Y Y, Grigorev V and Katsnelson B 2022 J. Marine Sci. Eng. 10 119
[17] Rubenstein D and Brill M H 1991 Ocean Variability & Acoustic Propagation (Berlin: Springer) pp 215
[18] Sagers J D 2012 Predicting acoustic intensity fluctuations induced by nonlinear internal waves in a shallow water waveguide Ph.D. Dessertation (The University of Texas at Austin Austin)
[19] Sagers J D and Wilson P S 2016 IEEE J. Ocean. Eng. 42 231
[20] Badiey M, Wan L and Song A 2013 J. Acoust. Soc. Am. 134 EL7
[21] Frank S D, Badiey M, Lynch J F and Siegmann W L 2004 J. Acoust. Soc. Am. 116 3404
[22] Duda T F and Preisig J C 1999 IEEE J. Ocean. Eng. 24 16
[23] Gerkema T and Zimmerman J T F 2008 An Introduction to Internal Waves (Lecture Notes, Royal Netherlands Institute for Sea Research) p. 67
[24] Gill A E 1982 Atmosphere-Ocean Dynamics (San Diego: Academic Press) vol 30 p. 159
[25] Yang Y J, Fang Y C, Chang M H, Ramp S R, Kao C C and Tang T Y 2009 J. Geophys. Res.: Oceans 114 C10003
[26] Grigorev V A, Katsnelson B G and Lynch J F 2016 J. Acoust. Soc. Am. 140 3980
[27] Weatherall P, Marks K M, Jakobsson M, Schmitt T, Tani S, Arndt J E, Rovere M, Chayes D, Ferrini V and Wigley R 2015 Earth Space Sci. 2 331
[28] Yang J, Zhou S H, Zhou J X and Lynch J F 2004 IEEE J. Ocean. Eng. 29 1054
[29] Fliegel M and Hunkins K 1975 J. Phys. Oceanogr. 5 541
[30] Shaw P T, Ko D S and Chao S Y 2009 J. Geophys. Res.: Oceans 114 C02019
[31] Xie J S, He Y H and Cai S Q 2019 J. Geophys. Res.: Oceans 124 4677
[32] Chen L, Xiong X J, Zheng Q A, Yuan Y L, Yu L, Guo Y L, Yang G B, Ju X, Sun J and Hui Z L 2020 Acta Oceanol. Sin. 39 44 |
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