In Situ Observation of Silt Seabed Pore Pressure Response to Waves in the Subaqueous Yellow River Delta

Song, Yupeng; Sun, Yongfu; Wang, Zhenhao; Du, Xing; Song, Binghui; Li, Dong

doi:10.1007/s11802-022-4843-3

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…As discussed above, the occurrence of seabed erosion will lead to strengthening gas upward migration and shallowing the SMTZ. Continuous erosion due to sediment deficit in the study area should have induced an upward shift of the SMTZ, as indicated by the presence of dissolved CH 4 in shallower marine sediments Song et al, 2021). Meanwhile, shallower sediments containing dissolved CH 4 will further enhance seabed erosion.…”

Section: Seabed Instabilitymentioning

confidence: 96%

“…The gas-charged sediments have long been considered marine geologic hazards in terms of several aspects. The shear strength of sub-bottom sediments will be reduced obviously after filling with dissolved CH 4 , and they are more susceptible to liquefaction under the influence of currents and waves (Sills and Wheeler, 1992;Song et al, 2021). Typically, sediment liquefaction likely occurs during extreme events such as typhoons, producing the collapse of marine constructions (Sumer et al, 2006;Wang et al, 2019;Wang et al, 2020).…”

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confidence: 99%

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Controls on shallow gas distribution, migration, and associated geohazards in the Yangtze subaqueous delta and the Hangzhou Bay

Song

Fan²,

Su³

et al. 2023

Front. Mar. Sci.

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Shallow gas is generally extensively distributed in the Holocene muddy sediments and gas seepage has been increasingly reported to induce geohazards in coastal seas, but controls on gas distribution and migration remain elusive. This study explores gas distribution and migration in the Yangtze subaqueous delta and the Hangzhou Bay using high-resolution acoustic profiles and core data. Shallow gas is widely detected by the common presence of acoustic anomalous reflections including enhanced reflection, gas chimney, bright spot, acoustic blanking, and acoustic turbidity. The gas front depth is generally less than 17.5 m, and is meanly shallower in the Hangzhou Bay than in the Yangtze subaqueous delta because of relatively shallower water depth and coarser Holocene sediments in the Hangzhou Bay. Shallow gas is inferred to be a biogenic product, and its distribution is highly contingent on the Holocene stratal thickness and water depth. Active gas migration and seepages are evident, and recently increasing occurrences of gas seepage can be ascribed to global warming and seabed erosion due to sediment deficit. The findings warn us to pay more attention to the positive feedback loops of gas seepages with global warming and seabed erosion for the associated geohazard prediction and reduction, typically in the highly developed coastal regions.

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Section: Seabed Instabilitymentioning

confidence: 96%

mentioning

confidence: 99%

Controls on shallow gas distribution, migration, and associated geohazards in the Yangtze subaqueous delta and the Hangzhou Bay

Song

Fan²,

Su³

et al. 2023

Front. Mar. Sci.

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“…The input parameters considered in this study include water depth (D), effective wave height (H 1/3 ), effective wave height period (T 1/3 ), maximum wave height (H max ), maximum wave height period (T max ), wind speed (WS), and wind direction (WD), while the output result is the wave-induced pore water pressure. All the data were obtained from in-situ observations conducted by the First Institute of Oceanography, MNR between February 18, 2015, and April 21, 2015 in the Yellow River Estuary, China (Du et al, 2021;Song et al, 2022).…”

Section: Data Descriptionmentioning

confidence: 99%

Neural network models for seabed stability: a deep learning approach to wave-induced pore pressure prediction

Du,

Sun,

Song

et al. 2023

Front. Mar. Sci.

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Wave cyclic loading in submarine sediments can lead to pore pressure accumulation, causing geohazards and compromising seabed stability. Accurate prediction of long-term wave-induced pore pressure is essential for disaster prevention. Although numerical simulations have contributed to understanding wave-induced pore pressure response, traditional methods lack the ability to simulate long-term and real oceanic conditions. This study proposes the use of recurrent neural network (RNN) models to predict wave-induced pore pressure based on in-situ monitoring data. Three RNN models (RNN, LSTM, and GRU) are compared, considering different seabed depths, and input parameters. The results demonstrate that all three RNN models can accurately predict wave-induced pore pressure data, with the GRU model exhibiting the highest accuracy (absolute error less than 2 kPa). Pore pressure at the previous time step and water depth are highly correlated with prediction, while wave height, wind speed, and wind direction show a secondary correlation. This study contributes to the development of wave-induced liquefaction early warning systems and offers insights for utilizing RNNs in geological time series analysis.

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In Situ Observation of Silt Seabed Pore Pressure Response to Waves in the Subaqueous Yellow River Delta

Cited by 2 publications

References 16 publications

Controls on shallow gas distribution, migration, and associated geohazards in the Yangtze subaqueous delta and the Hangzhou Bay

Controls on shallow gas distribution, migration, and associated geohazards in the Yangtze subaqueous delta and the Hangzhou Bay

Neural network models for seabed stability: a deep learning approach to wave-induced pore pressure prediction

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