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Decision support tool to mitigate ship-induced erosion in non-uniform, sheltered coastal fairways

Almström, Björn LU ; Larson, Magnus LU and Hallin, Caroline LU (2022) In Ocean and Coastal Management 225.
Abstract

The negative impact of maritime traffic in terms of shore erosion in sheltered coastal fairways can be mitigated by sustainable fairway management. Mitigation measures include regulating the ship traffic in terms of speed, routes, or size of ships, but can also involve erosion protection along a fairway. For effective shoreline management of a fairway, it is essential to predict ship waves, to identify sites with potential erosion problems, and to investigate the effectiveness of different measures before implementing them. Several attempts have been made to develop site-specific criteria for managing ship waves. However, few available generic models consider primary waves generated by large ships in confined fairways. Therefore, a tool... (More)

The negative impact of maritime traffic in terms of shore erosion in sheltered coastal fairways can be mitigated by sustainable fairway management. Mitigation measures include regulating the ship traffic in terms of speed, routes, or size of ships, but can also involve erosion protection along a fairway. For effective shoreline management of a fairway, it is essential to predict ship waves, to identify sites with potential erosion problems, and to investigate the effectiveness of different measures before implementing them. Several attempts have been made to develop site-specific criteria for managing ship waves. However, few available generic models consider primary waves generated by large ships in confined fairways. Therefore, a tool for supporting decisions in fairway management was developed. The decision support tool is based on simplified formulas for ship- and wind-wave prediction, combined in a framework that enables automatic, rapid assessments on large spatial and temporal scales. Moreover, the tool requires only readily available input data, such as data on AIS, bathymetry, shoreline geometry, wind, fairway centreline, and grain size. The output from the model includes ship and wind wave heights and potential erosion sites. The decision support tool was applied to the Furusund Fairway, Sweden, by simulating one year of ship traffic to validate its capability of identifying potential erosion sites. The simulation demonstrated that the tool was capable of identifying known erosion sites in the fairway. Additionally, scenarios with different speed regulation strategies for the Furusund Fairway were investigated using the decision support tool. Overall, it is concluded that the developed tool enables rapid assessment of ship waves, wind waves, and potential erosion over large areas in fairways.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
AIS, Boat wakes, Furusund, Ship waves, Wake management, Waterway, Wave prediction
in
Ocean and Coastal Management
volume
225
article number
106210
publisher
Elsevier
external identifiers
  • scopus:85130367508
ISSN
0964-5691
DOI
10.1016/j.ocecoaman.2022.106210
project
Naturanpassade erosionsskydd i farleder
language
English
LU publication?
yes
id
fefd4e38-8b7d-4f0a-87b9-318f111130b1
date added to LUP
2022-12-28 09:22:57
date last changed
2024-05-16 22:50:44
@article{fefd4e38-8b7d-4f0a-87b9-318f111130b1,
  abstract     = {{<p>The negative impact of maritime traffic in terms of shore erosion in sheltered coastal fairways can be mitigated by sustainable fairway management. Mitigation measures include regulating the ship traffic in terms of speed, routes, or size of ships, but can also involve erosion protection along a fairway. For effective shoreline management of a fairway, it is essential to predict ship waves, to identify sites with potential erosion problems, and to investigate the effectiveness of different measures before implementing them. Several attempts have been made to develop site-specific criteria for managing ship waves. However, few available generic models consider primary waves generated by large ships in confined fairways. Therefore, a tool for supporting decisions in fairway management was developed. The decision support tool is based on simplified formulas for ship- and wind-wave prediction, combined in a framework that enables automatic, rapid assessments on large spatial and temporal scales. Moreover, the tool requires only readily available input data, such as data on AIS, bathymetry, shoreline geometry, wind, fairway centreline, and grain size. The output from the model includes ship and wind wave heights and potential erosion sites. The decision support tool was applied to the Furusund Fairway, Sweden, by simulating one year of ship traffic to validate its capability of identifying potential erosion sites. The simulation demonstrated that the tool was capable of identifying known erosion sites in the fairway. Additionally, scenarios with different speed regulation strategies for the Furusund Fairway were investigated using the decision support tool. Overall, it is concluded that the developed tool enables rapid assessment of ship waves, wind waves, and potential erosion over large areas in fairways.</p>}},
  author       = {{Almström, Björn and Larson, Magnus and Hallin, Caroline}},
  issn         = {{0964-5691}},
  keywords     = {{AIS; Boat wakes; Furusund; Ship waves; Wake management; Waterway; Wave prediction}},
  language     = {{eng}},
  month        = {{06}},
  publisher    = {{Elsevier}},
  series       = {{Ocean and Coastal Management}},
  title        = {{Decision support tool to mitigate ship-induced erosion in non-uniform, sheltered coastal fairways}},
  url          = {{http://dx.doi.org/10.1016/j.ocecoaman.2022.106210}},
  doi          = {{10.1016/j.ocecoaman.2022.106210}},
  volume       = {{225}},
  year         = {{2022}},
}