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Selected Papers from the 16th Estuarine and Coastal Modeling Conference
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Selected Papers from the 16th Estuarine and Coastal Modeling Conference

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 (30 May 2022) | Viewed by 12248

Special Issue Editors

Dr. Kendra Dresback

E-Mail Website
Guest Editor
School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73019, USA
Interests: hydrodynamic modeling of coastal seas and oceans; coupled meteorological/hydrologic/hydraulic model systems for coastal flooding; high-performance computing; computational fluid dynamics and environmental fluid mechanics and finite element methods; algorithm development for finite element methods; applications in riverine environments for hydrodynamic and hydraulic models
Special Issues, Collections and Topics in MDPI journals
Dr. Pengfei Xue

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Michigan Technological University, Houghton, MI 49931, USA
Interests: hydrodynamic modeling; regional climate modeling; coupled ocean/lake-atmosphere modeling and dynamics
Special Issues, Collections and Topics in MDPI journals
Dr. Richard Signell

E-Mail Website
Guest Editor
United States Geological Survey, Woods Hole, MA 02543-1523, USA
Interests: geoinformatics; coastal ocean dynamics; numerical modeling; sediment transport
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 16th Estuarine and Coastal Modeling Conference provides a venue for commercial, academic, and government scientists and engineers from around the world to present and discuss the latest results and techniques in applied estuarine and coastal modeling. Prospective authors are invited to submit papers on a wide range of topic areas, including:

  • Coastal Response and Resilience to Climate Change
  • Ecosystems Modeling
  • Modeling of Coupled Systems
  • Risk Analysis (Nuclear Reactors, Coastal Flood)
  • Nowcast/Forecast Modeling Systems
  • Wave, Circulation, and Sediment Modeling
  • Modeling Systems with Strong Buoyancy Forcing
  • Pollutant Transport and Water Quality Prediction
  • Oil Spill Transport and Fate Modeling
  • Facility Siting and CSO Studies
  • Modeling Techniques and Sensitivity Studies
  • Cloud Computing
  • Machine Learning
  • Data Assimilation
  • Inverse Methods
  • Model Assessment, Visualization, and Analysis
  • Modeling Specific Estuarine and Coastal Systems

This Special Issue presents a selection of papers from the conference; the papers give insight into current research and commercial developments, while highlighting some of the areas where further research is required.

Dr. Kendra Dresback
Dr. Pengfei Xue
Dr. Richard Signell
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.

Published Papers (5 papers)

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Research

15 pages, 6042 KiB  
Article
Machine Learning Model-Based Ice Cover Forecasting for a Vital Waterway in Large Lakes
by Lian Liu, Santhi Davedu, Ayumi Fujisaki-Manome, Haoguo Hu, Christiane Jablonowski and Philip Y. Chu
J. Mar. Sci. Eng. 2022, 10(8), 1022; https://doi.org/10.3390/jmse10081022 - 26 Jul 2022
Cited by 2 | Viewed by 2154
Abstract
The St. Marys River is a key waterway that supports the navigation activities in the Laurentian Great Lakes. However, high year-to-year fluctuations in ice conditions pose a challenge to decision making with respect to safe and effective navigation, lock operations, and ice breaking [...] Read more.
The St. Marys River is a key waterway that supports the navigation activities in the Laurentian Great Lakes. However, high year-to-year fluctuations in ice conditions pose a challenge to decision making with respect to safe and effective navigation, lock operations, and ice breaking operations. The capability to forecast the ice conditions for the river system can greatly aid such decision making. Small-scale features and complex physics in the river system are difficult to capture by process-based numerical models that are often used for lake-wide applications. In this study, two supervised machine learning methods, the Long Short-Term Memory (LSTM) model and the Extreme Gradient Boost (XGBoost) algorithm are applied to predict the ice coverage on the St. Marys River for short-term (7-day) and sub-seasonal (30-day) time scales. Both models are trained using 25 years of meteorological data and select climate indices. Both models outperform the baseline forecast in the short-term applications, but the models underperform the baseline forecast in the sub-seasonal applications. The model accuracies are high in the stable season, while they are lower in the freezing and melting periods when ice conditions can change rapidly. The errors of the predicted ice-on/ice-off date lie within 2–5 days. Full article
(This article belongs to the Special Issue Selected Papers from the 16th Estuarine and Coastal Modeling Conference)
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13 pages, 8516 KiB  
Article
Simulating Landfast Ice in Lake Superior
by Yuchun Lin, Ayumi Fujisaki-Manome and Eric J. Anderson
J. Mar. Sci. Eng. 2022, 10(7), 932; https://doi.org/10.3390/jmse10070932 - 07 Jul 2022
Cited by 2 | Viewed by 2157
Abstract
Landfast ice plays an important role in the nearshore hydrodynamics of large lakes, such as the dampening of surface waves and currents. In this study, previously developed landfast ice basal stress parameterizations were added to an unstructured grid hydrodynamic ice model to represent [...] Read more.
Landfast ice plays an important role in the nearshore hydrodynamics of large lakes, such as the dampening of surface waves and currents. In this study, previously developed landfast ice basal stress parameterizations were added to an unstructured grid hydrodynamic ice model to represent the effects of grounded ice keels and tensile strength of ice cover. Numerical experiments using this model were conducted to evaluate the development of coastal landfast ice in Lake Superior. A sensitivity study of the free parameters was conducted from December 2018 to May 2021 to cover both high and low ice cover winters in Lake Superior and was compared against observations from the United States National Ice Center. The model reproduces the annual variation in coastal landfast ice in Lake Superior, particularly in shallow nearshore areas and the semi-enclosed bays in the northern regions of the lake. Experiments also show that the growth of landfast ice is mainly controlled by the free parameter that controls the critical ice thickness for the activation of basal stress. Overall, the model tends to underestimate the extent of coastal landfast against observations. Full article
(This article belongs to the Special Issue Selected Papers from the 16th Estuarine and Coastal Modeling Conference)
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31 pages, 7943 KiB  
Article
Feedback between Basin Morphology and Sediment Transport at Tidal Inlets: Implications for Channel Shoaling
by Douglas R. Krafft, Richard Styles and Mitchell E. Brown
J. Mar. Sci. Eng. 2022, 10(3), 442; https://doi.org/10.3390/jmse10030442 - 18 Mar 2022
Cited by 1 | Viewed by 1705
Abstract
Increasing societal pressures (e.g., population growth and urbanization) are driving land use change practices in coastal areas that could potentially alter the hydrodynamics and sediment transport patterns near coastal inlets in ways that might exacerbate existing shoaling conditions. To investigate the potential impact [...] Read more.
Increasing societal pressures (e.g., population growth and urbanization) are driving land use change practices in coastal areas that could potentially alter the hydrodynamics and sediment transport patterns near coastal inlets in ways that might exacerbate existing shoaling conditions. To investigate the potential impact of coastal development, a numerical model is used to predict the long-term evolution of an idealized lagoonal-type barrier island inlet under five different morphological conditions that transitioned from net sediment import to net sediment export. The simulations were designed to address the potential effect of inter-tidal placement and land reclamation on sediment transport and the resulting deposition/erosion patterns. Estuaries that were deeper and devoid of extensive tidal flats tended to promote sediment import and had a greater propensity to exacerbate channel shoaling. Simulations that were characteristic of inter-tidal placement showed net export, yet the likelihood of channel shoaling was increased because some of the material eroded from the tidal flats was deposited in the deeper channels as opposed to being carried out the inlet throat. Alternatively, it was found that regions in which the intertidal area was restricted to elevations higher in the tidal frame, which also showed a net export, produced greater sediment loss in the inter-tidal zone that tended to bypass the deeper sections, reducing the likelihood of channel shoaling. Full article
(This article belongs to the Special Issue Selected Papers from the 16th Estuarine and Coastal Modeling Conference)
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22 pages, 7234 KiB  
Article
Use of 1D Unsteady HEC-RAS in a Coupled System for Compound Flood Modeling: North Carolina Case Study
by Samuel T. Bush, Kendra M. Dresback, Christine M. Szpilka and Randall L. Kolar
J. Mar. Sci. Eng. 2022, 10(3), 306; https://doi.org/10.3390/jmse10030306 - 22 Feb 2022
Cited by 6 | Viewed by 2281
Abstract
The research presented herein develops and compares an ADCIRC and ADCIRC/HEC-RAS (1D) paired model for the purpose of compound flood modeling within the Tar River and Pamlico Sound basins of North Carolina. Both the ADCIRC and 1D HEC-RAS models are capable of simulating [...] Read more.
The research presented herein develops and compares an ADCIRC and ADCIRC/HEC-RAS (1D) paired model for the purpose of compound flood modeling within the Tar River and Pamlico Sound basins of North Carolina. Both the ADCIRC and 1D HEC-RAS models are capable of simulating river systems but differ in their underlying numerical formulations. A case-study comparison of each model’s ability to simulate flooding accurately and quickly in a riverine/estuarine system is investigated herein; results may serve as a valuable reference to forecasters and model developers. Individual models of the Tar River and Pamlico Sound area in North Carolina were used, and pairings of these models were devised to determine the benefits and drawbacks of using ADCIRC alone, or ADCIRC + 1D HEC-RAS, to simulate the response of the Tar River and Pamlico Sound during three test events: Hurricane Irene, Hurricane Floyd, and an unnamed April 2003 event. With increased emphasis on predicting total water levels, the results of this study can provide information for the possible development of similarly paired models for coastal river systems across the US and improve the body of knowledge about each model’s relative performance in riverine and estuarine areas. Full article
(This article belongs to the Special Issue Selected Papers from the 16th Estuarine and Coastal Modeling Conference)
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23 pages, 3690 KiB  
Article
Development and Application of STORMTOOLS Design Load (SDL) Maps
by Isabella Silverman, Blaze Engelman, Alexa Leone, Michael Rothenbucher, Allison Munch, Josph Sorrentino, Brandon Markiewicz, Chris Pearson, Chris Baxter, Craig Swanson, George Tsiatas and Malcolm Spaulding
J. Mar. Sci. Eng. 2021, 9(7), 715; https://doi.org/10.3390/jmse9070715 - 29 Jun 2021
Viewed by 2331
Abstract
Under the STORMTOOLS initiative, maps of the impact of sea level rise (SLR) (0 to 12 ft), nuisance flooding (1–10 yr), 25, 50, and 100 yr storms, and hindcasts of the four top ranked tropical storms have been developed for the coastal waters [...] Read more.
Under the STORMTOOLS initiative, maps of the impact of sea level rise (SLR) (0 to 12 ft), nuisance flooding (1–10 yr), 25, 50, and 100 yr storms, and hindcasts of the four top ranked tropical storms have been developed for the coastal waters of Rhode Island (RI). Estimates of the design elevations, expressed in terms of the Base Flood Elevation (BFE) and thus incorporating surge and associated wave conditions, have also been developed, including the effects of SLR to facilitate structural design. Finally, Coastal Environmental Risk Index (CERI) maps have been developed to estimate the risk to individual structures and infrastructure. CERI employs the BFE maps in concert with damage curves for residential and commercial structures to make estimates of damage to individual structures. All maps are available via an ArcGIS Hub. The objective of this senior design capstone project was to develop STORMTOOLS Design Load maps (SDL) with a goal of estimating the hydrostatic, hydrodynamic, wave, and debris loading, based on ASCE/SEI 7–16 Minimum Design Standards methods, on residential structures in the RI coastal floodplain. The resulting maps display the unitized loads and thus can be scaled for any structure of interest. The goal of the maps is to provide environmental loads that support the design of structures, and reduce the time and cost required in performing the design and the permitting process, while also improving the accuracy and consistency of the designs. SDL maps were generated for all loads, including the effects of SLR for a test case: the Watch Hill/Misquamicut Beach, Westerly, along the southern RI coast. The Autodesk Professional Robot Structural Analysis software, along with SDL loading, was used to evaluate the designs for selected on-grade and pile-elevated residential structures. Damage curves were generated for each and shown to be consistent with the US Army Corps of Engineers empirical damage curves currently used in CERI. Full article
(This article belongs to the Special Issue Selected Papers from the 16th Estuarine and Coastal Modeling Conference)
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