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Test of salinity profile correction method for MVP system based on temperature gradient profile analysis
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Hongchen Li1, Xi Chen2, Kefeng Mao2, *, Penghao Wang1, Ming Li2
Haiyang Xuebao | 2023, 45(12) : 179 - 192
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Haiyang Xuebao | 2023, 45(12): 179-192
Article
Test of salinity profile correction method for MVP system based on temperature gradient profile analysis
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Hongchen Li1, Xi Chen2, Kefeng Mao2, *, Penghao Wang1, Ming Li2
Affiliations
  • 1College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410003, China
  • 2Second Interdisciplinary Center, College of Frontier Interdisciplinary Sciences, National University of Defense Technology, Nanjing 211101, China
Published: 2023-12-31 doi: 10.12284/hyxb2023171
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The Moving Vessel Profiler (MVP) has the advantage of acquiring temperature and salinity profiles with high spatial resolution. However, since a pumpless CTD is used for the temperature and salinity measurements, adjusting the response time of the sensor and correcting for thermal inertia are important issues in processing the measured data and complicate the application of the data. Since the existing thermal inertia correction methods still have salinity peaks at the strong thermocline, in this work we propose a layered method to optimize the thermal inertia correction parameters based on the analysis of the measured temperature gradient profile to correct the temperature and conductivity, and thus the salinity profile. The results show that the method significantly reduces the salinity difference between the upward and downward measured profiles of the MVP and essentially eliminates the salinity peaks, especially in the thermocline. The average absolute salinity difference between the upward and downward measured profiles is reduced from 0.031 to 0.016 1, which corresponds to a 48.1% reduction in salinity error and confirms the appropriateness of the salinity profile correction method proposed in this work for the MVP.

MVP  /  salinity correction  /  thermal inertia effect  /  temperature gradient profile analysis
Hongchen Li, Xi Chen, Kefeng Mao, Penghao Wang, Ming Li. Test of salinity profile correction method for MVP system based on temperature gradient profile analysis[J]. Haiyang Xuebao, 2023 , 45 (12) : 179 -192 . DOI: 10.12284/hyxb2023171
Year 2023 volume 45 Issue 12
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doi: 10.12284/hyxb2023171
  • Receive Date:2023-09-13
  • Online Date:2025-12-28
  • Published:2023-12-31
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  • Received:2023-09-13
  • Revised:2023-10-31
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    1College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410003, China
    2Second Interdisciplinary Center, College of Frontier Interdisciplinary Sciences, National University of Defense Technology, Nanjing 211101, 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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种数
Number of
species
占总种数比例
Percentage of total
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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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