Scour Mattress Installation, St. Martins Small Craft Harbour, St. Martins, Saint John County, New Brunswick

The proposed Project at St-Martin's Small Craft Harbour involves concrete scour mattress installation adjacent to the existing crib wharf structure 401. The installation may involve the placement of clean crushed stone in order to level the area, if required. The concrete scour mattress will extend approximately 10 m from the wharf and be approximately 60 m in length. The concrete scour mattress will be 250 to 300 m thick.

Latest update

End of Public Comment Period

November 19, 2020 – The public comment period on the project is closed. Fisheries and Oceans Canada- Small Craft Harbours is considering comments received to date to inform its determination on whether carrying out of the project is likely to cause significant adverse environmental effects.

 

Notice of Determination

November 19, 2020 – Fisheries and Oceans Canada- Small Craft Harbours has issued its Notice of Determination after evaluation of the scour mattress installation at St-Martins DFO-SCH, NB, and has determined that the project is not likely to cause significant adverse environmental effects with mitigation measures as outlined in their evaluation and can therefore proceed.

Participate

Contacts

Fisheries and Oceans Canada - Small Craft Harbours, Maritime and Gulf Region
Chyann Kirby, Regional Environmental Advisor
Gulf Fisheries Centre, 343 University Avenue
Moncton, New Brunswick E1C 9B6
Telephone: 506-866-5164
Email: chyann.kirby@dfo-mpo.gc.ca


  • Location

    • St. Martins, Saint John County, New Bruncwick (New Brunswick)

  • Nature of Activity

    • Other, not otherwise specified

  • Assessment Status

    Completed

  • Start Date

    2020-07-16

  • Proponent

    Fisheries and Oceans Canada - Small Craft Harbours Branch

  • Authorities

    • Fisheries and Oceans Canada

  • Assessment Type

    Project on federal lands

  • Reference Number

    80876
Disclaimer

This map is for illustrative purposes. The markers represent the approximate locations based on available data. More than one marker may be identified for a given assessment.

 
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