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Variational method of ocean three-dimensional thermohaline structure and its acoustic performance evaluation
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Mingqi Zhang1, Yongsheng Xu1, 2, 5, *, Qingjun Zhang3, Liqiang Zhang3, Liang Xiang1, Ping Guo1, 5, Liang Yang4, Chao Huang1, Hanwei Sun6
Haiyang Xuebao | 2023, 45(12) : 133 - 144
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Haiyang Xuebao | 2023, 45(12): 133-144
Article
Variational method of ocean three-dimensional thermohaline structure and its acoustic performance evaluation
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Mingqi Zhang1, Yongsheng Xu1, 2, 5, *, Qingjun Zhang3, Liqiang Zhang3, Liang Xiang1, Ping Guo1, 5, Liang Yang4, Chao Huang1, Hanwei Sun6
Affiliations
  • 1Institute of Oceanography, Chinese Academy of Sciences, Qingdao 266071, China
  • 2Laoshan Laboratory, Qingdao 266061, China
  • 3Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China
  • 4The People’s Liberation Army Troop 91001, Beijing 100841, China
  • 5University of Chinese Academy of Sciences, Beijing 100094, China
  • 6Beijing Institute of Radio Measurement, Beijing 100039, China
Published: 2023-12-31 doi: 10.12284/hyxb2023163
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Research on the reconstruction of underwater three-dimensional temperature and salinity fields and the acquisition of acoustic field characteristics based on satellite sea surface observations has significant practical value in military oceans and other fields. However, its effectiveness not only depends on the reconstruction method but also changes with different sea surface observations used. Although there are few reports on related research, it has significant guiding value for the design of satellite sea surface observation schemes. In this study, based on the latest variational method applied by the US Navy, the influence of the vertical gradient of temperature and salinity and the sea surface height, sea surface temperature, and their joint use on the reconstruction of three-dimensional temperature and salinity and acoustic field characteristics were investigated. The results showed that the reconstruction scheme incorporating the three constraint items had the highest accuracy, with average reconstruction errors of 1.08℃ for temperature field and 0.11 for salinity field, and could better capture the spatial features of the temperature and salinity fields. By analyzing the spatial characteristics of different schemes, the sea surface temperature mainly plays a role in capturing the temperature and salinity characteristics of the shallow region of the mixing layer, which has a great influence on the Sound Layer Depth (SLD). Both the sea surface height and the vertical gradient of warm salt field can improve the inversion accuracy of mixed layer and deep area, which can affect the accuracy of the whole sound velocity profile. According to the analysis of acoustic characteristics, when SST, SSH, and the gradient were constrained simultaneously, the SLD had the smallest difference from HYCOM in the shallow sound speed, which was about 1 m/s. When there was no gradient constraint, the SLD differed significantly from HYCOM and failed to reflect the surface duct characteristics. It can be seen that the surface duct is more sensitive to sea surface temperature and gradient constraints.

variational method  /  sea surface observations  /  constraint of gradient  /  three-dimensional thermohaline structure  /  acoustic characteristics
Mingqi Zhang, Yongsheng Xu, Qingjun Zhang, Liqiang Zhang, Liang Xiang, Ping Guo, Liang Yang, Chao Huang, Hanwei Sun. Variational method of ocean three-dimensional thermohaline structure and its acoustic performance evaluation[J]. Haiyang Xuebao, 2023 , 45 (12) : 133 -144 . DOI: 10.12284/hyxb2023163
Year 2023 volume 45 Issue 12
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Article Info
doi: 10.12284/hyxb2023163
  • Receive Date:2023-03-28
  • Online Date:2025-12-28
  • Published:2023-12-31
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History
  • Received:2023-03-28
  • Revised:2023-07-17
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Affiliations
    1Institute of Oceanography, Chinese Academy of Sciences, Qingdao 266071, China
    2Laoshan Laboratory, Qingdao 266061, China
    3Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China
    4The People’s Liberation Army Troop 91001, Beijing 100841, China
    5University of Chinese Academy of Sciences, Beijing 100094, China
    6Beijing Institute of Radio Measurement, Beijing 100039, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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