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Water
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Coast Sediment Dynamics: Historical Development, Current Situation and Perspectives
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Coast Sediment Dynamics: Historical Development, Current Situation and Perspectives

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Erosion and Sediment Transport".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 3356

Special Issue Editors

Dr. Yunping Yang

E-Mail Website
Guest Editor
Tianjin Research Institute for Water Transport Engineering, Ministry of Transport, Inland Waterway Engineering Research Center, Tianjin 300456, China
Interests: sediment dynamics; sedimentology; coastal dynamics; coastal sediments; estuarine evolution; river evolution; numerical simulation
Special Issues, Collections and Topics in MDPI journals
Dr. Zhiming Chao

E-Mail Website
Guest Editor
1. College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 210020, China
2. Institute of Water Sciences and Technology, Hohai University, Nanjing 211106, China
Interests: port, coastal and marine geotechnical engineering; soil mechanics; soft ground stability analysis; mechanical properties of the interface between soil and geosynthetics; application of artificial intelligence technology in geotechnical engineering
Dr. Hua Ge

E-Mail Website
Guest Editor
Changjiang River Scientific Research Institute, River Research Institute, Wuhan 430010, China
Interests: flood control; river and lake regulation; sedimentation in cascade reservoirs; water and sediment transport; riverbed evolution

Special Issue Information

Dear Colleagues,

Under the effects of global climate change and human activities, the process and development trends of material transport from river basin to ocean have been significantly changed. In order to cope with the new challenges brought by the changes in coastal environments, it is necessary to fully understand the source, transport, deposition process and development dynamics of coastal sediment. This Special Issue invites submissions pertaining to these challenges and encourages the use of multi-disciplinary research methods such as remote sensing surveys, measured big data, physical models and mathematical models, focusing on the new progress and development trends in the study of sediment transport from basin to ocean, estuarine sediment movement mechanics, coastal sediment movement mechanics, coastal geology, estuarine geomorphic evolution, coastal geomorphic evolution, and coastal ecology. We welcome contributions from scholars and engineers in the fields of river dynamics, environmental science, ecology, coastal science, port navigation and offshore engineering. We are particularly interested in the application of new technologies and methods in coast sediment dynamics and coastal ecological environments.

Dr. Yunping Yang
Dr. Zhiming Chao
Dr. Hua Ge
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • coast dynamics
  • coast sediments
  • estuarine evolution
  • numerical simulation
  • coastal ecology

Published Papers (4 papers)

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Research

19 pages, 2659 KiB  
Article
Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine Learning Techniques
by Peng Cui, Jiaxin Zhou, Ruiqian Gao, Zijia Fan, Ying Jiang, Hui Liu, Yipei Zhang, Bo Cao, Kun Tan, Peng Tan and Xianhui Feng
Water 2024, 16(8), 1102; https://doi.org/10.3390/w16081102 - 12 Apr 2024
Viewed by 424
Abstract
In this study, a method was introduced to validate the presence of a Representative Elementary Volume (REV) within marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure. Physical testing provided the basis for this verification. Once the existence of [...] Read more.
In this study, a method was introduced to validate the presence of a Representative Elementary Volume (REV) within marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure. Physical testing provided the basis for this verification. Once the existence of the REV for such sediment was confirmed, we established a machine-learning predictive model. This model utilizes a hybrid algorithm combining Particle Swarm Optimization (PSO) with a Support Vector Machine (SVM). The model was trained using a database generated from the aforementioned physical tests. The machine-learning model demonstrates favorable predictive performance based on several statistical metrics, including the coefficient of determination (R2), mean residual error (MSE), mean relative residual error (MRSE), and the correlation coefficient R during the verification process. Utilizing the established machine-learning predictive model, one can effortlessly obtain the permeability tensor of marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure by inputting the relevant stress condition parameters. The original research cannot estimate the permeability tensor under similar loading and unloading conditions through REV. In this study, the physical model test was used to determine the REV of marine cohesive sediments with cracks by cyclic-constrained pressure loading and unloading. Referring to the results of physical tests, we developed a machine-learning prediction model that can easily estimate the permeability tensor of marine cohesive sediments with cracks under cyclic loading and constrained pressure unloading conditions. This method greatly saves time and computation and provides a direct method for engineering and technical personnel to predict the permeability tensor in this case. Full article
(This article belongs to the Special Issue Coast Sediment Dynamics: Historical Development, Current Situation and Perspectives)
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23 pages, 8903 KiB  
Article
Compound Impact of Storm Surge and Flood Characteristics in Coastal Area Based on Copula
by Zhenglei Zhu, Wei Zhang and Wenjin Zhu
Water 2024, 16(2), 270; https://doi.org/10.3390/w16020270 - 12 Jan 2024
Viewed by 787
Abstract
In low-lying coastal areas, the interplay of various factors including precipitation, river flow, and storm surge can lead to greater influence on floods when they occur simultaneously. The copula method was used in this study to investigate the bivariate flood risk of compounding [...] Read more.
In low-lying coastal areas, the interplay of various factors including precipitation, river flow, and storm surge can lead to greater influence on floods when they occur simultaneously. The copula method was used in this study to investigate the bivariate flood risk of compounding storm surge and river discharge events in the Pearl River Delta (PRD). Our results indicate that while the correlation between storm surge and flood peak (S-Q) was weak, there was a strong dependence between the pairs of storm surge–flood volume (S-V) and storm surge–flood duration (S-D). For these three pairs, the Clayton copula was the optimal function for S-Q, while the Frank copula was the optimal function for S-V and S-D, respectively. When the flood volume exceeds 2.0 × 104 m3/s and the flood duration is more than 10 days, the bivariate hydrologic risk for S-V and S-D is observed to decrease rapidly. Furthermore, the failure probability (FP) would be underestimated when the combined impact of river flow and storm surge is ignored in coastal flood risk assessment. Such bivariate hydrologic risk analysis implies that when determining design values in coastal flood risk assessment, the combined impact of river flow and storm surge should be taken into account. Full article
(This article belongs to the Special Issue Coast Sediment Dynamics: Historical Development, Current Situation and Perspectives)
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17 pages, 3598 KiB  
Article
Batch Settling and Low-Pressure Consolidation Behaviors of Dredged Mud Slurry: Steady-State Evaluation and Mechanism Study
by Shufeng Bao, Lingfeng Guo, Zhiliang Dong, Ruibo Zhou, Shuangxi Zhou and Jian Chen
Water 2024, 16(1), 7; https://doi.org/10.3390/w16010007 - 19 Dec 2023
Viewed by 779
Abstract
Since the exploration of the characteristics of dredged mud slurry during batch settlement and low-pressure consolidation (less than 100 kPa) is still insufficient, the determination of the optimal time to start the vacuum preloading method (VPM) on dredged-fill foundations is still empirically oriented [...] Read more.
Since the exploration of the characteristics of dredged mud slurry during batch settlement and low-pressure consolidation (less than 100 kPa) is still insufficient, the determination of the optimal time to start the vacuum preloading method (VPM) on dredged-fill foundations is still empirically oriented (due to a lack of enough scientific basis). To further explore the characteristics of dredged mud slurry during batch settlement and low-pressure consolidation, samples from typical dredged-fill land projects were obtained and used to conduct batch sedimentation model experiments and low-pressure (less than 100 kPa) consolidation tests. The results of experiments and analyses showed the following: (1) the clay (d < 0.005 mm) content is a main factor affecting the batch settlement and consolidation characteristics of dredged mud slurry, which is not conducive to the consolidation effect of dredged-fill foundations. (2) For dredged mud slurry whose clay content is within 40% to 60%, the cumulative change rate of the average porosity ratio of 60% to 75% is suitable for evaluating the steady state of its batch sedimentation process, i.e., the optimal starting time of VPM. Finally, based on the experimental analyses, a settlement prediction method that considers both the batch sedimentation and the low-pressure consolidation processes was developed and validated. Full article
(This article belongs to the Special Issue Coast Sediment Dynamics: Historical Development, Current Situation and Perspectives)
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17 pages, 3009 KiB  
Article
Clogging Behaviors in PVD and Their Evaluation Criteria for Dredged Mud Slurry
by Shufeng Bao, Lingfeng Guo, Zhiliang Dong, Ruibo Zhou, Shuangxi Zhou and Jian Chen
Water 2023, 15(24), 4206; https://doi.org/10.3390/w15244206 - 05 Dec 2023
Viewed by 874
Abstract
During the consolidation period of vacuum preloading drainage of dredged mud slurry, the clogging behaviors of the filter drainage structural layers and the core boards of prefabricated vertical drains (PVD) determine the drainage capacities of PVD. However, currently, there is a lack of [...] Read more.
During the consolidation period of vacuum preloading drainage of dredged mud slurry, the clogging behaviors of the filter drainage structural layers and the core boards of prefabricated vertical drains (PVD) determine the drainage capacities of PVD. However, currently, there is a lack of comprehensive research on the evaluation criteria for these two clogging behaviors. Therefore, based on typical dredged mud slurry, typical geomembranes, and raw material core boards with different bending forms, relevant macro and micro-scale experimental studies have been carried out in this study. The research results show that (1) with the application of the gradient ratio test method, the clogging behaviors of filter membranes of PVD under graded vacuum preloading can be effectively simulated. Also, in the design of graded vacuum preloading, characteristics of equivalent pore sizes and pore structures should be emphasized to investigate the suitability of filtration and drainage performance of PVD filter membranes. (2) The compressive yield strength of core board grooves is a key factor influencing the reduction rate of flow capacity. The reduction rate of flow capacity and well resistance increment can be used as comprehensive indicators reflecting the clogging behaviors of core boards, while the bending angles and bending rates of core boards can be used as specific technical indicators. (3) The proposed clogging evaluation criteria for PVD are as follows: a filter membrane gradient ratio (GR) > 4.0, a core board bending rate >60% and a core board bending angle < 45°, or a reduction rate of flow capacity of bending drainage board > 90% or well-resistance increment > 9. Also, these criteria can be incorporated into the control indicators for drainage performance of PVD used in such types of foundations. Full article
(This article belongs to the Special Issue Coast Sediment Dynamics: Historical Development, Current Situation and Perspectives)
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