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The Coastal Response Modeling
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The Coastal Response Modeling

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

Deadline for manuscript submissions: closed (1 October 2022) | Viewed by 7313

Special Issue Editors

Dr. Jeseon Yoo

E-Mail Website
Guest Editor
Marine Disaster Research Center, Korea Institute of Ocean Science and Technology (KIOST), Busan, Korea
Interests: nearshore processes; ocean surface waves; coastal numerical modeling; coastal monitoring; remote sensing; coastal morphology; coastal disaster prevention
Dr. Sungwon Shin

E-Mail Website
Guest Editor
Department of Marine Science and Convergence Engineering, Hanyang University ERICA Campus, Ansan 15588, Korea
Interests: coastal engineering; physical modeling; numerical modeling; sediment transport; tsunami; natural hazards; wave energy harvesting; water wave mechanics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the last few decades, the use of coastal areas has expanded along with the increase of potential threats of current and future coastal hazards. Many research works have been extensively carried out to develop methods for coastal response modelling and coastal hazard assessment. The purpose of this Special Issue is to publish the most exciting research with respect to the above subjects and therefore to enlarge the understanding of coastal response processes in various spatial and temporal scales spanning from short-term storm events to long-term climate change impacts.

Dr. Jeseon Yoo
Dr. Sungwon Shin
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 process
  • Coastal hazard assessment
  • Shoreline response
  • Numerical modeling
  • Physical modeling
  • Climate change impact

Published Papers (3 papers)

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Research

21 pages, 5874 KiB  
Article
Sensitivity Analysis of Event-Specific Calibration Data and Its Application to Modeling of Subaerial Storm Erosion under Complex Bathymetry
by Hyeok Jin, Kideok Do, Inho Kim and Sungyeol Chang
J. Mar. Sci. Eng. 2022, 10(10), 1389; https://doi.org/10.3390/jmse10101389 - 28 Sep 2022
Cited by 1 | Viewed by 1223
Abstract
Key parameters in a process-based model depicting the morphological changes during storm events should be adjusted to simulate the hydro- and morphodynamics, leading to site-, profile-, and event-specific calibration. Although area models eliminate variability in calibrated parameters along with each profile in complex [...] Read more.
Key parameters in a process-based model depicting the morphological changes during storm events should be adjusted to simulate the hydro- and morphodynamics, leading to site-, profile-, and event-specific calibration. Although area models eliminate variability in calibrated parameters along with each profile in complex bathymetry, the amount of influence datasets with different wave conditions have on model performance is still unclear in an area model in a given parameter space. This study collected hydrodynamic and bathymetric field data over four different storm conditions (two single and two cluster storms) at Maengbang Beach, South Korea. The numerical model XBeach was adopted using four storm datasets with four key parameters to examine the influence of event-specific calibration data on subaerial storm erosion. When using clustered storm data, a relatively limited number of parameter combinations showed higher model sensitivity to different parameter sets as opposed to single storm data with the same parameter sets. Model sensitivity to different storm events was correlated with cumulative storm power and resultant erosion volume in comparison with other features in the datasets. The results are expected to guide the selection of an event-specific dataset with various morphological and hydrodynamic factors in an area model under complex bathymetry. Full article
(This article belongs to the Special Issue The Coastal Response Modeling)
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20 pages, 4453 KiB  
Article
Water Circulation Driven by Cold Fronts in the Wax Lake Delta (Louisiana, USA)
by Qian Zhang, Chunyan Li, Wei Huang, Jun Lin, Matthew Hiatt and Victor H. Rivera-Monroy
J. Mar. Sci. Eng. 2022, 10(3), 415; https://doi.org/10.3390/jmse10030415 - 13 Mar 2022
Cited by 6 | Viewed by 2392
Abstract
Atmospheric cold fronts can periodically generate storm surges and affect sediment transport in the Northern Gulf of Mexico (NGOM). In this paper, we evaluate water circulation spatiotemporal patterns induced by six atmospheric cold front events in the Wax Lake Delta (WLD) in coastal [...] Read more.
Atmospheric cold fronts can periodically generate storm surges and affect sediment transport in the Northern Gulf of Mexico (NGOM). In this paper, we evaluate water circulation spatiotemporal patterns induced by six atmospheric cold front events in the Wax Lake Delta (WLD) in coastal Louisiana using the 3-D hydrodynamic model ECOM-si. Model simulations show that channelized and inter-distributary water flow is significantly impacted by cold fronts. Water volume transport throughout the deltaic channel network is not just constrained to the main channels but also occurs laterally across channels accounting for about a quarter of the total flow. Results show that a significant landward flow occurs across the delta prior to the frontal passage, resulting in a positive storm surge on the coast. The along-channel current velocity dominates while cross-channel water transport occurs at the southwest lobe during the post-frontal stage. Depending on local weather conditions, the cold-front-induced flushing event lasts for 1.7 to 7 days and can flush 32–76% of the total water mass out of the system, a greater range of variability than previous reports. The magnitude of water flushed out of the system is not necessarily dependent on the duration of the frontal events. An energy partitioning analysis shows that the relative importance of subtidal energy (10–45% of the total) and tidal energy (20–70%) varies substantially from station to station and is linked to the weather impact. It is important to note that within the WLD region, the weather-induced subtidal energy (46–66% of the total) is much greater than the diurnal tidal energy (13–25% of the total). The wind associated with cold fronts in winter is the main factor controlling water circulation in the WLD and is a major driver in the spatial configuration of the channel network and delta progradation rates. Full article
(This article belongs to the Special Issue The Coastal Response Modeling)
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15 pages, 20467 KiB  
Article
Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration
by Hyeok Jin, Kideok Do, Sungwon Shin and Daniel Cox
J. Mar. Sci. Eng. 2021, 9(6), 635; https://doi.org/10.3390/jmse9060635 - 7 Jun 2021
Cited by 3 | Viewed by 2520
Abstract
Coastal dunes are important morphological features for both ecosystems and coastal hazard mitigation. Because understanding and predicting dune erosion phenomena is very important, various numerical models have been developed to improve the accuracy. In the present study, a process-based model (XBeachX) was tested [...] Read more.
Coastal dunes are important morphological features for both ecosystems and coastal hazard mitigation. Because understanding and predicting dune erosion phenomena is very important, various numerical models have been developed to improve the accuracy. In the present study, a process-based model (XBeachX) was tested and calibrated to improve the accuracy of the simulation of dune erosion from a storm event by adjusting the coefficients in the model and comparing it with the large-scale experimental data. The breaker slope coefficient was calibrated to predict cross-shore wave transformation more accurately. To improve the prediction of the dune erosion profile, the coefficients related to skewness and asymmetry were adjusted. Moreover, the bermslope coefficient was calibrated to improve the simulation performance of the bermslope near the dune face. Model performance was assessed based on the model-data comparisons. The calibrated XBeachX successfully predicted wave transformation and dune erosion phenomena. In addition, the results obtained from other two similar experiments on dune erosion with the same calibrated set matched well with the observed wave and profile data. However, the prediction of underwater sand bar evolution remains a challenge. Full article
(This article belongs to the Special Issue The Coastal Response Modeling)
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