The Influential Factors and Prediction of Kuroshio Extension Front on Acoustic Propagation-Tracked

• Autorzy: Xu Weishuai , Zhang Lei , Wang Hua

Identyfikatory

DOI

10.24425/aoa.2024.148767

• Języki publikacji: EN

Abstrakty

EN

The Kuroshio Extension front (KEF) considerably influences the underwater acoustic environment; however, a knowledge gap persists regarding the acoustic predictions under the ocean front environment. This study utilized the high-resolution ocean reanalysis data (JCOPE2M, 1993–2022) to assess the impact of the KEF on the underwater acoustic environment. Oceanographic factors were extracted from the database using the Douglas-Peucker algorithm, and acoustic propagation characteristics were obtained using the Bellhop raytracing model. This study employed a backpropagation neural network to predict the acoustic propagation affected by the KEF. The depth of the acoustic channel axis and the vertical gradient of the transition layer of sound speed were identified as the fundamental factors influencing the first area of convergence, with correlations between the former and the distance of the first convergence zone ranging from 0.52 to 0.82, and that for the latter ranging from −0.42 to −0.7. The proposed method demonstrated efficacy in forecasting first convergence zone distances, predicting distances with less than 3 km error in >90% of cases and less than 1 km error in 68.61% of cases. Thus, this study provides a valuable predictive tool for studying underwater acoustic propagation in ocean front environments and informs further research.

Słowa kluczowe

EN

Kuroshio Extension front; acoustic propagation; convergence zone prediction

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2024
• Tom: Vol. 49, nr 1
• Strony: 95--106
• Opis fizyczny: Bibliogra. 32 poz., rys., tab., wykr.

Twórcy

autor

Xu Weishuai

• No. 5 Student Team, Dalian Naval Academy Dalian, Liaoning, China

autor

Zhang Lei

• Department of Military Oceanography and Hydrography and Cartography Dalian Naval Academy Dalian, Liaoning, China

autor

Wang Hua

• Department of Military Oceanography and Hydrography and Cartography Dalian Naval Academy Dalian, Liaoning, China

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).