Modelling coastal processes at Shippagan Gully inlet, New Brunswick, Canada

AuthorSearch for: ; Search for: ; Search for: ; Search for:
Proceedings titleAnnual Conference of the Canadian Society for Civil Engineering 2013: Know-How - Savoir-Faire
ConferenceAnnual Conference of the Canadian Society for Civil Engineering 2013: Know-How - Savoir-Faire, May 29-June 1 2013, Montreal, QC, Canada
AbstractThis paper describes the development, calibration and application of a numerical model of the hydrodynamic and sedimentary processes at a dynamic tidal inlet known as Shippagan Gully, located on the Gulf of St-Lawrence near Le Goulet, New Brunswick. The new model has been developed to provide guidance concerning the response of the inlet mouth to various potential interventions aimed at increasing navigation safety. The new model is based on coupling the most recent CMS-Flow and CMSWave models developed by the US Army Corps of Engineers. The coupled model is capable of simulating the depth-averaged currents generated within Shippagan Gully and along the neighbouring coastline due to the effects of tides, winds and waves; the transport of non-cohesive sediments; and the resulting changes in seabed morphology. The development of the model and the steps taken to calibrate and validate it against field measurements are described. The application of the model to predict the coastal processes and the response of the inlet mouth to several storms is described and discussed. The influences of storm direction and storm surge on coastal processes is presented and discussed. The research described herein will contribute to an improved understanding of the hydrodynamics and sedimentary processes at strongly ebb-dominated tidal inlets in general and Shippagan Gully in particular.
Publication date
PublisherCanadian Society for Civil Engineering
AffiliationNational Research Council Canada; Ocean, Coastal and River Engineering
Peer reviewedYes
NPARC number23000567
Export citationExport as RIS
Report a correctionReport a correction
Record identifiere516569e-e2dd-4ee4-a6e7-13fc84e4c4db
Record created2016-08-02
Record modified2016-08-02
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)
Date modified: