Research Portal
Displaying 1 – 6 of 6 results
Geoscience » Spill Preparedness
Advanced Coastal Mapping to Support Hydrodynamic Modelling
April 2016 – June 2018
Nova Scotia’s Atlantic coast exhibits a variety of shorelines that may be vulnerable to contamination in the event of an offshore oil spill. In turn, variable currents, changing water levels, shoals, and exposed seaside conditions make effective spill response difficult for tidal inlets.
In Situ Turbulence Replication and Measurement (InSTREAM)
October 2015 – January 2018
The In Situ Turbulence Replication and Measurement (InSTREAM) project was conceived to address some fundamental questions about the turbulence physics in tidal energy sites and laboratory tanks used to simulate these sites.
Going with the Flow: Advancement of Drifting Platforms for use in Tidal Energy Site Assessment & Environmental Monitoring
April 2015 – August 2017
This research project aimed to apply a simple and low cost philosophy to ocean observation by developing an inexpensive low-profile surface drifter for use in initial assessment of potential tidal energy development opportunities. The project addressed limitations in the existing drifter design
Drones and Drifters – The Great Pumpkin Race
October 2016 – July 2017
This project tested and developed a new low-cost approach to collecting oceanographic measurements for use in tidal initial site assessments. The plan combines one of the oldest tools in oceanography, the drifter, with one of the newest, the drone.
Geoscience » Tectonics and Crustal Structure
Extensional Tectonics across the Northern Nova Scotia Margin from Ocean Bottom Seismic Data
May 2015 – April 2017
This project analyzes two wide-angle refraction/reflection ocean-bottom seismometer profiles recently collected offshore north-central Nova Scotia.
Advancing Tidal Energy Turbine Operations through High Fidelity Tug Propulsion and Control Simulation Software
November 2016 – March 2017
The project objective was to develop a numerical model of a tug boat and its propulsion system to accurately predict its dynamic behaviour in turbulent tidal flows.