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JMSE
Special Issues
Coastal Flooding and Protection
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Coastal Flooding and Protection

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Coastal Engineering".

Deadline for manuscript submissions: closed (1 January 2022) | Viewed by 8250

Special Issue Editors

Prof. Dr. Dong-Jiing Doong

E-Mail Website
Guest Editor
Department of Hydraulic and Ocean Engineering, Coastal Ocean Monitoring Center, National Cheng Kung University, Tainan, Taiwan
Interests: hazardous waves (freak waves, typhoon waves); coastal flooding and protection; ocean measurement technology; wave statistics; meteo-oceanographic data analysis and interpretation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Peter Froehle

E-Mail Website
Guest Editor
Institute of River and Coastal Engineering, Hamburg University of Technology (TUHH), Hamburg, Germany
Interests: coastal protection; estuarine dynamic

Special Issue Information

Dear Colleagues,

Over one-third of the world’s population lives within 100 km of a coastline. Coastal areas are clusters of human settlement and activities, commercial and industrial business, fishing, shipping and tourism. During storms, coasts are the first places to be flooded. In addi­tion, coasts are increasingly facing global threats from climate change such as sea-level rise. Coastal protection provides a defense against erosion and flooding that are caused by waves and tides, winds and currents.

Traditional measures aimed at protecting coasts often consist of hard structures such as revetments, groynes, breakwaters, dikes and seawalls, as well as the soft solutions like dunes, headland control, artificial reefs, hydraulic piling, nourishment and windbreaks. Recently, nature-based solution (NBS) has arisen as an attractive alternative for coastal protection. Compared to hard infrastructure, which is often designed for a single purpose, NBS can help to achieve societal, environmental and economic benefits. We believe the coastal eco-services can help to benefit people and economic activities.

The purpose of this Special Issue is to collect latest ideas, methods and research outcomes in the field of coastal protection and flooding. We look forward to receiving contributions in the form of research articles and reviews for this Special Issue. Topics include but are not limited to the following:

  • Latest coastal protection ideas or methods;
  • Soft and hard coastal protection structures;
  • Nature-based solutions;
  • Coastal flooding mitigation methods;
  • Case studies;
  • Numerical simulations for coastal protection and flooding;
  • Field observations for coastal protection and flooding;
  • Laboratory experiments for coastal protection and flooding;
  • Strategies for coastal protection and flood mitigation.

Prof. Dong-Jiing Doong
Prof. Dr. Peter Froehle
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. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly 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

  • Coastal protection measures;
  • Coastal flooding;
  • Coastal erosion;
  • Soft and hard coastal structures;
  • Nature-based solutions;
  • Climate change;
  • Coastal management;
  • Numerical simulation;
  • Hydrculic experiment;
  • In-situ observation.

Published Papers (4 papers)

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Research

18 pages, 12970 KiB  
Article
Modeling Coastal Freak Wave Occurrence
by Ying-Chih Chen and Dong-Jiing Doong
J. Mar. Sci. Eng. 2022, 10(3), 323; https://doi.org/10.3390/jmse10030323 - 25 Feb 2022
Cited by 2 | Viewed by 1514
Abstract
Fishermen frequently suffer accidents and may even drown when they are swept into the sea by coastal freak waves near the shore of northeastern Taiwan. To accurately predict the deformation of free surfaces when waves violently strike coastal structures, the smoothed particle hydrodynamics [...] Read more.
Fishermen frequently suffer accidents and may even drown when they are swept into the sea by coastal freak waves near the shore of northeastern Taiwan. To accurately predict the deformation of free surfaces when waves violently strike coastal structures, the smoothed particle hydrodynamics (SPH) model with a nonlinear and mesh-free numerical approach was adopted in this study. Eight cases based on an actual coastal freak wave accident were simulated. The results show that the maximum splash height of the coastal freak wave in the breakwater was dependent not only on the incident wave but also on the existence of armor blocks. The armor block installation reduces the overflow discharge but enhances the horizontal throw speed of the coastal freak wave by more than five times. Full article
(This article belongs to the Special Issue Coastal Flooding and Protection)
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25 pages, 14544 KiB  
Article
A Coastal Flood Early-Warning System Based on Offshore Sea State Forecasts and Artificial Neural Networks
by Michalis Chondros, Anastasios Metallinos, Andreas Papadimitriou, Constantine Memos and Vasiliki Tsoukala
J. Mar. Sci. Eng. 2021, 9(11), 1272; https://doi.org/10.3390/jmse9111272 - 16 Nov 2021
Cited by 13 | Viewed by 2835
Abstract
An integrated methodological approach to the development of a coastal flood early-warning system is presented in this paper to improve societal preparedness for coastal flood events. The approach consists of two frameworks, namely the Hindcast Framework and the Forecast Framework. The aim of [...] Read more.
An integrated methodological approach to the development of a coastal flood early-warning system is presented in this paper to improve societal preparedness for coastal flood events. The approach consists of two frameworks, namely the Hindcast Framework and the Forecast Framework. The aim of the former is to implement a suite of high-credibility numerical models and validate them according to past flooding events, while the latter takes advantage of these validated models and runs a plethora of scenarios representing distinct sea-state events to train an Artificial Neural Network (ANN) that is capable of predicting the impending coastal flood risks. The proposed approach was applied in the flood-prone coastal area of Rethymno in the Island of Crete in Greece. The performance of the developed ANN is good, given the complexity of the problem, accurately predicting the targeted coastal flood risks. It is capable of predicting such risks without requiring time-consuming numerical simulations; the ANN only requires the offshore wave characteristics (height, period and direction) and sea-water-level elevation, which can be obtained from open databases. The generic nature of the proposed methodological approach allows its application in numerous coastal regions. Full article
(This article belongs to the Special Issue Coastal Flooding and Protection)
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19 pages, 4728 KiB  
Article
The Effects on Water Particle Velocity of Wave Peaks Induced by Nonlinearity under Different Time Scales
by Aifeng Tao, Shuya Xie, Di Wu, Jun Fan and Yini Yang
J. Mar. Sci. Eng. 2021, 9(7), 748; https://doi.org/10.3390/jmse9070748 - 6 Jul 2021
Cited by 5 | Viewed by 2162
Abstract
The water particle velocity of the wave peaks is closely related to the wave load borne by offshore structures. It is of great value for marine disaster prevention to study the water particle velocity of nonlinear extreme waves represented by Freak waves. This [...] Read more.
The water particle velocity of the wave peaks is closely related to the wave load borne by offshore structures. It is of great value for marine disaster prevention to study the water particle velocity of nonlinear extreme waves represented by Freak waves. This study applies the High-order Spectral Method (HOS) numerical model to analyze the characteristics and influencing factors of the water particle velocity of Freak wave peak with two different generation mechanisms under the initial condition of a weakly modulated Stokes wave train. Our results show that the water particle velocity of the wave peak increases linearly with wave height and initial wave steepness in the evolution stage of modulation instability. While in the later stage, the relationship becomes exponential. Under the condition of similar wave heights, the deformation degrees of Freak waves with different generation mechanisms are distinct, the deformation degree of modulation instability stage is smaller than that of the later stage. The water particle velocity of the wave peaks increases with the deformation degrees. Furthermore, the correlation between wave peak height and water particle velocity is a quadratic function. This provides a theoretical basis for further understanding of nonlinear waves and the prediction of marine disasters. Full article
(This article belongs to the Special Issue Coastal Flooding and Protection)
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15 pages, 12215 KiB  
Article
Improving Coastal Ocean Wave Height Forecasting during Typhoons by using Local Meteorological and Neighboring Wave Data in Support Vector Regression Models
by Shien-Tsung Chen and Yu-Wei Wang
J. Mar. Sci. Eng. 2020, 8(3), 149; https://doi.org/10.3390/jmse8030149 - 26 Feb 2020
Cited by 17 | Viewed by 3194
Abstract
This study is aimed at applying support vector regression to perform real-time typhoon wave height forecasting with lead times of 1 to 3 h. Two wave rider buoys in the coastal ocean northeast of Taiwan provided real-time observation wave and meteorological data for [...] Read more.
This study is aimed at applying support vector regression to perform real-time typhoon wave height forecasting with lead times of 1 to 3 h. Two wave rider buoys in the coastal ocean northeast of Taiwan provided real-time observation wave and meteorological data for the study. Information from actual typhoon events was collected and used for model calibration and validation. Three model structures were developed with different combinations of input variables, including wave, typhoon, and meteorological data. Analysis of forecasting results indicated that the proposed models have good generalization ability, but forecasts with longer lead times underestimate extreme wave heights. Comparisons of models with different inputs indicated that adding local meteorological data enhanced forecasting accuracy. Backup models were also developed in case local wave and meteorological data were unavailable. Analysis of these models revealed that when local wave heights are unknown, using neighboring wave heights can improve forecasting performance. Full article
(This article belongs to the Special Issue Coastal Flooding and Protection)
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