Editorial: Sediment dynamics and geohazards in estuaries and deltas–volume II
- Xiaolei Liu1*corresponding author
- J. Paul Liu2
- Ya Ping Wang3
- 1Shandong Provincial Key Laboratory of Marine Engineering Geology and The Environment, Ocean University of China, Qingdao, China
- 2Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC, United States
- 3School of Marine Science and Engineering, Nanjing Normal University, Nanjing, China
Abstract
Keywords
Estuaries and deltas are among the regions with the most intense land-sea interactions. The evolution of their sediments is jointly controlled by multiple factors, including fluvial sediment supply, wave action, tidal processes, and anthropogenic activities (Li et al., 2020; Syvitski et al., 2022; van de Vijsel et al., 2024). In particular, wave-current coupling regulates the hydrodynamic structure of the near-bed boundary layer, thereby further influencing sediment entrainment, resuspension, and transport (Li et al., 2021; Liu et al., 2026). Meanwhile, under the combined influence of long-term cyclic loading, extreme hydrodynamic conditions, and engineering disturbances, seabed sediments readily accumulate excess pore water pressure and undergo plastic deformation. These mechanical responses can degrade the effective stress state and shear strength, thereby increasing the risk of seabed deformation, sediment liquefaction, and submarine landslides (Saathoff and Achmus, 2024; Liu et al., 2025). With the rapid expansion of marine infrastructure, including offshore wind farms, submarine pipelines, and reef-island engineering, sediment-structure interactions, sediment-structure interface responses, and the identification and prediction of submarine geological hazards under complex environmental conditions have become central research priorities (Roger et al., 2024; He et al., 2025).
As the second volume of this Research Topic series, this collection continues to address the core scientific themes of sediment dynamics and geohazards. It comprises four original research articles focusing on two principal areas: the mechanical responses of estuarine and deltaic soils under complex loading and environmental conditions and the artificial intelligence-assisted identification of submarine pipelines. Collectively, these studies deepen our understanding of the mechanical behavior of estuarine and deltaic sediments and the associated geohazard processes.
The mechanical properties of these sediments are key factors in controlling submarine foundation settlement, the stability of marine engineering structures, and their long-term deformation. Moreover, strength degradation and pore-water pressure evolution play important roles in governing the initiation and development of geohazards such as submarine liquefaction and landslides (Liu et al., 2013; Keane, 2019; Tong et al., 2010; Tran et al., 2024). Wu et al. investigated complex cyclic stress paths induced by wave loading through a series of axial-torsional coupled cyclic loading tests. Their study revealed the volumetric strain accumulation behavior of saturated fine sand from the Yellow Sea and established an irreversible strain increment model based on the equivalent cyclic stress ratio. Kong et al. investigated the coupled effects of temperature and normal stress, systematically characterizing the cyclic shear response of the marine silica-sand-geogrid interface across a wide temperature range. Tang et al. investigated the pronounced crushability of calcareous sand through direct-shear creep tests and developed an empirical creep model that incorporates particle breakage, thereby improving the characterization of time-dependent deformation in the foundations of South China Sea reef-island environments.
In addition to studies of sediment mechanics, the rapid and accurate identification and localization of submarine pipelines are equally essential for geohazard monitoring and engineering safety in deltas characterized by active sediment dynamics (Zhang et al., 2022; Feng et al., 2023). Wei et al. evaluated the performance of three convolutional neural networks–AlexNet, GoogLeNet, and VGG-16- for the automated detection of submarine pipelines in the Yellow River Estuary using side-scan sonar imagery. Their results showed that GoogLeNet achieved the best balance between accuracy and computational efficiency, offering a practical technical approach for the high-frequency monitoring of submarine infrastructure.
By addressing complex cyclic loading, temperature-stress coupling, creep modeling, and intelligent image-based identification, the contributions in this volume advance the understanding of the mechanical responses of estuarine and deltaic sediments and the associated geohazard processes. They provide a theoretical basis and technical references for seabed deformation and settlement assessment, engineering risk evaluation, and coastal protection.
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Footnotes
Edited and reviewed by: Wouter Buytaert, Imperial College London, United Kingdom
Statements
- Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
- Funding
The author(s) declared that financial support was not received for this work and/or its publication.
- Author contributions
XL: Writing – original draft, Writing – review and editing. JL: Validation, Writing – review and editing. YW: Investigation, Writing – review and editing.
References
- Feng H., Yu J. C., Huang Y., Cui J., Qiao J. N., Wang Z. Y. (2023). Automatic tracking method for submarine cables and pipelines of AUV based on side scan sonar. Ocean. Eng. 280, 114689. doi:10.1016/j.oceaneng.2023.114689
- He Z. G., Okon S. U., Hu P., Zhang H. Y., Ewa-Oboho I., Li Q. (2025). Submarine gravity flows and their interaction with offshore pipelines: a review of recent advances. Eng. Geol. 347, 107914. doi:10.1016/j.enggeo.2025.107914
- Keane J. T. (2019). Landslides by liquefaction. Nat. Geosci. 12, 883. doi:10.1038/s41561-019-0457-9
- Li B. W., Jia Y. G., Liu J. P., Su J. F., Liu X. L., Wen M. Z. (2020). The controlling factors of high suspended sediment concentration in the intertidal flat off the Huanghe River Estuary. Acta Oceanol. Sin. 39, 96 – 106. doi:10.1007/s13131-020-1679-9
- Li Y., Wang Y. P., Zhu Q. G., Limaye A. B., Wu H. (2021). Roles of advection and sediment resuspension-settling in the turbidity maximum zone of the Changjiang Estuary, China. Cont. Shelf Res. 229, 104559. doi:10.1016/j.csr.2021.104559
- Liu X. L., Jia Y. G., Zheng J. W., Hou W., Zhang L., Zhang L. P. (2013). Experimental evidence of wave-induced inhomogeneity in the strength of silty seabed sediments: yellow River Delta, China. Ocean. Eng. 59, 120 – 128. doi:10.1016/j.oceaneng.2012.12.003
- Liu X. L., Jeng D. S., Moon V., Stoesser T., Zhang L. L. (2025). Preface to the special issue on “Marine Engineering Geology in Developing Ocean Resources and Energy”. Eng. Geol. 354, 108206. doi:10.1016/j.enggeo.2025.108206
- Liu X. L., Yu H. Y., Zhang S. Y., Lu Y., Bian C. W., Xing F. (2026). Sediment sources and their effect on wave-supported gravity flows in abandoned river deltas: observational insights. J. Geophys. Res. Earth Surf. 131 (2), e2025JF008655. doi:10.1029/2025JF008655
- Roger J. H. M., Bull S., Watson S. J., Mueller C., Hillman J. I. T., Wolter A. (2024). A review of approaches for submarine landslide-tsunami hazard identification and assessment. Mar. Pet. Geol. 162, 106729. doi:10.1016/j.marpetgeo.2024.106729
- Saathoff J. E., Achmus M. (2024). Estimation of capacity decrease due to accumulated excess pore pressures around cyclically loaded offshore foundations in sand. Ocean. Eng. 294, 116733. doi:10.1016/j.oceaneng.2024.116733
- Syvitski J., Anthony E., Saito Y., Zăinescu F., Day J., Bhattacharya J. P. (2022). Large deltas, small deltas: toward a more rigorous understanding of coastal marine deltas. Glob. Planet. Change. 218, 103958. doi:10.1016/j.gloplacha.2022.103958
- Tong Z. X., Zhang J. M., Yu Y. L., Zhang G. (2010). Drained deformation behavior of anisotropic sands during cyclic rotation of principal stress axes. J. Geotech. Geoenviron. Eng. 136 (11), 1509 – 1518. doi:10.1061/(ASCE)GT.1943-5606.0000378
- Tran Q. A., Sørlie E., Grimstad G., Eiksund G., Takahashi H., Sassa S. (2024). Influence of sediment permeability in seismic-induced submarine landslide mechanism: CFD-MPM validation with centrifuge tests and analysis. Comput. Geotech. 174, 106588. doi:10.1016/j.compgeo.2024.106588
- van de Vijsel R. C., Scheffer M., Hoitink A. J. F. (2024). Tipping points in river deltas. Nat. Rev. Earth Environ. 5, 843 – 858. doi:10.1038/s43017-024-00610-5
- Zhang X., Simons R., Zheng J. H., Zhang C. (2022). A review of the state of research on wave-current interaction in nearshore areas. Ocean. Eng. 243, 110202. doi:10.1016/j.oceaneng.2021.110202
Citation
Liu, X., et al. (2026). Editorial: Sediment dynamics and geohazards in estuaries and deltas–volume II. Frontiers in Earth Science, Volume 14. https://doi.org/
- Received
- Accepted
- Published
- Volume
- 14 - 2026
Copyright
Copyright © 2026 Liu, Liu and Wang.
License: https://creativecommons.org/licenses/by/4.0/
*Correspondence: Xiaolei Liu
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