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Bottom sediment transport in the western Laizhou Bay during strong wind events based on a tripod measurement
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Hai Li1, 2, 3, Kai Wan4, Xin Song5, Dehai Song1, 2, *, Nan Wang3, Xianwen Bao1, 2, 3
Haiyang Xuebao | 2022, 44(6) : 68 - 79
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Haiyang Xuebao | 2022, 44(6): 68-79
Article
Bottom sediment transport in the western Laizhou Bay during strong wind events based on a tripod measurement
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Hai Li1, 2, 3, Kai Wan4, Xin Song5, Dehai Song1, 2, *, Nan Wang3, Xianwen Bao1, 2, 3
Affiliations
  • 1. Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
  • 2. Laboratory for Ocean Dynamics and Climate, Pilot National Laboratory of Marine Science and Technology (Qingdao), Qingdao 266237, China
  • 3. College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
  • 4. Beihai Offshore Engineering Survey Institute, State Oceanic Administration, Qingdao 266061, China
  • 5. Weifang Marine Development Research Institute, Weifang 261100, China
Published: 2022-05-25 doi: 10.12284/hyxb2022041
Outline
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Based on a tripod measurement in the Laizhou Bay from October 21 to November 6, 2018, the unit-width bottom sediment transport rate and the effects of strong winds on bottom sediment transport are analyzed using the ensemble empirical mode decomposition, the Hilbert-Huang transform and the wavelet analysis method. The resuluts show thta the unit-width sediment transport rate can be divided into four intrinsic mode functions with increased periods including the high-frequency, tidal-period, low-frequency and long-period. The high-frequency and tidal-period components have the highest variance contribution rate and energy, indicating their greatest impact on sediment transport. The marginal spectrum shows a significant period of 13.3 h in the east-west direction, and a period larger than 11 h in the north-south direction. The net bottom sediment fluxes in the east-west and north-south directions are 305.77 kg/m and 597.25 kg/m, respectively; and the high-frequency and low-frequency component contribute least while the residual-current component contributes most. Winds work on the time-frequency distribution of the unit-width sediment transport rate mainly through the turbulence and waves during the wind decrease periods, which enhances the low-frequency domain significantly, and further induces the high-frequency fluctuations with periods about 1 h. The cross-wavelet analysis shows the winds and the unit-width sediment transport rate have a strong coherence on the low-frequency band; and the latter lags behind the former by 1/4 to 1/2 period. In addition, the wind-waves enhance the asymmetric sediment transport between flood and ebb tidal phase, which increases the net sediment flux of tidal period.

unit-width sediment transport rate  /  net sediment flux  /  ensemble empirical mode decomposition  /  HHT time-frequency analysis  /  cross-wavelet analysis
Hai Li, Kai Wan, Xin Song, Dehai Song, Nan Wang, Xianwen Bao. Bottom sediment transport in the western Laizhou Bay during strong wind events based on a tripod measurement[J]. Haiyang Xuebao, 2022 , 44 (6) : 68 -79 . DOI: 10.12284/hyxb2022041
Year 2022 volume 44 Issue 6
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Article Info
doi: 10.12284/hyxb2022041
  • Receive Date:2021-05-19
  • Online Date:2026-02-01
  • Published:2022-05-25
Article Data
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History
  • Received:2021-05-19
  • Revised:2021-10-11
Funding
Affiliations
    1. Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
    2. Laboratory for Ocean Dynamics and Climate, Pilot National Laboratory of Marine Science and Technology (Qingdao), Qingdao 266237, China
    3. College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
    4. Beihai Offshore Engineering Survey Institute, State Oceanic Administration, Qingdao 266061, China
    5. Weifang Marine Development Research Institute, Weifang 261100, 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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