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The study of the trends of tidal amplitudes of major constituents in the South China Sea: A revisit
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Qian Yu1, Haidong Pan2, 3, 4, 5, *, Xianqing Lü1, 5
Haiyang Xuebao | 2022, 44(5) : 62 - 70
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Haiyang Xuebao | 2022, 44(5): 62-70
Article
The study of the trends of tidal amplitudes of major constituents in the South China Sea: A revisit
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Qian Yu1, Haidong Pan2, 3, 4, 5, *, Xianqing Lü1, 5
Affiliations
  • 1. Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
  • 2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
  • 3. Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China
  • 4. Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China
  • 5. Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Published: 2022-05-01 doi: 10.12284/hyxb2022083
Outline
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The research of tidal changes is vital to ocean engineering, the protection of flooding as well as the utilization of ocean resources in coastal areas. Previous studies are mainly based on long-term hourly tide gauges whose number and location are highly limited. Previous study indicated that the long-term trends of tidal amplitudes are abnormally large in the central deep basin of the South China Sea (SCS) based on 25-year satellite altimeter data, which is not realistic and the resultant of the interference of ocean mesoscale variability on tidal harmonic analysis. In this paper, we use 27-year T/P-Jason satellite altimeter data processed by X-TRACK software to study the long-term tidal trends in the SCS. The satellite altimeter data processed by X-TRACK obviously improves the accuracy and completeness of satellite data in the SCS. Meanwhile, the weighted least square method is used to eliminate the effect of tidal aliasing caused by long period sampling. We find that in most areas of the SCS, the amplitudes of four major tidal constituents have significant long-term trends. The significant positive and negative long-term trends of amplitudes and phases are mainly distributed in the coastal areas such as the western Luzon Strait, the Strait of Malacca and Taiwan Strait, where the water depth and shoreline change dramatically. The largest positive long-term trend of amplitudes can reach 2.75 mm/a and the largest negative long-term trend of amplitudes can reach −2.16 mm/a. The long-term trends of tidal amplitudes in the SCS should be related to river flow and human interference.

South China Sea  /  the long-term trend of tides  /  X-TRACK  /  satellite altimeter  /  S_TIDE
Qian Yu, Haidong Pan, Xianqing Lü. The study of the trends of tidal amplitudes of major constituents in the South China Sea: A revisit[J]. Haiyang Xuebao, 2022 , 44 (5) : 62 -70 . DOI: 10.12284/hyxb2022083
Year 2022 volume 44 Issue 5
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Article Info
doi: 10.12284/hyxb2022083
  • Receive Date:2021-07-18
  • Online Date:2026-02-01
  • Published:2022-05-01
Article Data
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History
  • Received:2021-07-18
  • Revised:2021-11-23
Funding
Affiliations
    1. Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
    2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
    3. Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China
    4. Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China
    5. Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, 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
total species (%)

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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