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We have found 97 datasets for the keyword "tidal mixing". You can continue exploring the search results in the list below.
Datasets: 104,048
Contributors: 42
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97 Datasets, Page 1 of 10
Tidal Current and Power Density Maps of Quatsino Sound, British Columbia, Derived from Hydrodynamic Modeling-Based Tidal Resource Assessments
A tidal resource assessment dataset for the Quatsino Sound region, British Columbia, was developed, including temporal maximum, mean, and minimum velocity magnitudes, standard deviations, and power density. The dataset was generated using a high-resolution 2D depth-averaged hydrodynamic model based on the Telemac-Mascaret solver, with Natural Neighbor interpolation applied for raster creation. This newly published dataset is the first in a series of regional tidal energy maps for Canada. Developed by CanmetENERGY Ottawa in collaboration with partners, these maps aim to support effective project planning and development by providing comprehensive tidal resource data across the country.Disclaimer:Potential errors in the model results may arise from inherent limitations in the topo-bathymetric data accuracy, assumptions in boundary conditions, approximations within the numerical methods, and the input data used in the numerical modeling. These factors introduce uncertainties that can affect the overall model outcomes. The model is subject to the following conditions:• Topo-bathymetric data: Obtained from electronic navigational charts and the Canadian Hydrographic Service’s (CHS) NONNA-10 Bathymetric Data packages, consolidating CHS-managed digital bathymetric sources with a maximum resolution of 10 m.• Tidal and current harmonic components: Used as boundary conditions from the TPXO9 global tidal model.• Model calibration and validation: Performed using data from Acoustic Doppler Current Profilers (ADCP), surface elevations recorded at CHS tidal stations, and Lagrangian drifter measurements.• Interpolation method: Dataset outputs were generated with Natural Neighbor interpolation, which assumes smoothly varying data and may not capture sharp local gradients or features.• Modeled estimates: All values for velocity magnitudes, velocity standard deviations, and power density are modeled estimates and not direct field measurements.This dataset is intended for preliminary assessment of tidal projects only. It should not be the sole basis for making critical decisions or investments. We strongly recommend further validation and in-depth analysis. Users are responsible for conducting their own due diligence and additional research to verify the data's accuracy and relevance for specific applications.By accessing and using this dataset, users acknowledge and accept these disclaimers. The providers of this dataset explicitly absolve themselves of any responsibility or liability for any consequences arising from the use, reliance upon, or interpretation of this dataset. Users are advised that their use of the dataset is at their own risk, and they assume full responsibility for any actions or decisions made based on the information contained therein. This disclaimer is in accordance with applicable laws and regulations, and by accessing or utilizing the dataset, users agree to release the providers of this dataset from any legal claims, damages, or liabilities that may arise from such use.
Coastal water mixing and effect on productivity potential of the coastal ecosystem
The objective of this project was to locate the mixing zones in the coastal environment on the north shore of the lower estuary, which are caused by the friction of the waters on the bottom and measure the effects of these mixing zones on the modification of the water bodies and the productivity potential of adjacent areas, using phytoplankton biomass and size structure as an indicator of productivity. Temperature and salinity profiles were measured using CTD and water sampling was done with a Niskin bottle to try to detect the signature of the mixture and to determine if nutrient salts and/or productivity are greater in adjacent areas.Sampling took place in 3 outings from 3 stations organized in a 100 NN transect which were carried out at the start of the season (June 30), mid-season (August 16) and end of the season (October 9). The transects were each composed of three stations ranging from 10 m depth near the coast to 50 and 75 m, depending on the transect, moving away from the coast. Samples were collected for nutrients and phytoplankton biomass (> 0.7 µm and > 5 µm) analysis at depths of 1, 10, 25 and 50 m. The optical transparency of water was also measured by Secchi disk. The first file provided “donnees_profils_data” is a summary of the CTD profils of every station. The second file “donnees_discretes_discret_data” contains the results of the water sample analysis. The file “Identification_station_identification” describe the repartition of consecutives among stations.This project was funded by DFO Coastal Environmental Baseline Program under Canada’s Oceans Protection Plan. This initiative aims to acquire environmental baseline data contributing to the characterization of important coastal areas and to support evidence-based assessments and management decisions for preserving marine ecosystems.
Modelled Mean Summer Circulation and Conditions in Bute Inlet, British Columbia
This dataset contains the outputs for Bute Inlet from two simulations shown in the publication "Fjord circulation permits persistent subsurface water mass in a long, deep mid-latitude inlet" by Laura Bianucci et al., DFO Ocean Sciences Division, Pacific Region (published in the journal Ocean Science in 2024). The Finite Volume Community Ocean Model (FVCOM v4.1) was run with two different sets of initial conditions for the Discovery Islands region of British Columbia, Canada, from May 24 to June 27, 2019. The "Baseline" simulation used observed initial conditions, while the "Sensitivity" simulation removed the observed cold subsurface water mass from the initial profiles. Here in this dataset, we provide 29-day averages of the following variables in a transect along Bute Inlet: potential temperature, density, along-inlet velocity, and Brunt-Väisälä frequency (N^2). The averaging properly removes the tidal effects.
Maritimes Region Clam Harvesting Areas (CHA)
The Maritimes Region is divided into seven Clam Harvesting Areas (CHA).CLAM HARVESTING AREA 1 is described as follows:The inland and tidal waters of the counties of Colchester, Cumberland and Hants that border and flow into the Bay of Fundy.CLAM HARVESTING AREA 2 is described as follows:The inland and tidal waters of the counties of Annapolis, Digby and Kings.CLAM HARVESTING AREA 3 is described as follows:The inland and tidal waters of Yarmouth County.Time restrictions for Clam Harvesting Area 3: No person shall fish for clams from sunset each Saturday until sunrise on the following Monday (closed Sundays) in the boundaries of Clam Harvesting Area 3.CLAM HARVESTING AREA 4 is described as follows:The inland and tidal waters of the counties of Shelburne, Queens and Lunenburg and that portion of Halifax County west of Pennant Point (as defined in the Territorial Sea Geographical Coordinates Order (C.R.C., c. 1550), Schedule I, Area 4).CLAM HARVESTING AREA 5 is described as follows:The inland and tidal waters of Guysborough County and that portion of Halifax County east of Pennant Point (as defined in the Territorial Sea Geographical Coordinates Order (C.R.C., c. 1550), Schedule I, Area 4).CLAM HARVESTING AREA 6 is described as follows:The inland and tidal waters of the counties of Richmond and Cape Breton, all of Victoria County except that portion between Cape North and Inverness County and that portion of Inverness County that borders on the Bras d'Or Lakes.NEW BRUNSWICK - BAY OF FUNDY CLAM HARVESTING AREA 7 is described as follows:The inland and tidal waters of the counties of Charlotte, Saint John and Albert that flow into the Bay of Fundy.
Roberts Bank Shorebird Surveys, British Columbia - Approx. Survey Area
This polygon outlines the basic area included in the survey counts. This area is the best approximation of the mudflat that can be surveyed from shore and is exposed at tide tide height of 3.5 m, based on tidal predictions at Point Atkinson, British Columbia.
Tides and Water Levels
Canadian tides and water level station information, benchmarks, observed water level data, and tidal predictions.The Canadian tide and water level data archive presently holds water level observations reported from over a thousand stations, with the earliest dating back to 1848. The number of observations spans on average 6 years per station, with 60 stations measuring water levels for over 50 years.Over 800 stations are subjected to appreciable effect of tides, and for most of these stations, the Canadian Hydrographic Service (CHS) calculates and publishes predictions of the water levels associated with the vertical movement of the tide.Observations from the CHS Permanent Water Level Network are added on a daily to monthly basis. Data are also exchanged annually with the Water Survey of Canada.Each point in the map represents a station with links to observations, tidal predictions, and benchmark information, where available.
Clean power generating stations by type in megawatts (MW)
This Web Map Service depicts the location of clean electricity generating facilities by type of clean energy source and power generation capacity. Clean energy sources shown on the map include biomass, hydro, nuclear, solar, tidal and wind. The data comes from the provinces and territories, other federal departments and clean energy associations in Canada. The service is one of many themes mapped in the web mapping application Map of Clean Energy Resources and Projects (CERP) in Canada.
Coastal and epipelagic habitats of the St. Lawrence Estuary and Gulf - Database
A geospatial database involving 130 descriptors was created describing the pelagic and benthic habitats of the 0–30 m surface layer in the estuary and Gulf of St. Lawrence.A grid made of 6.25 km² cells (2.5 x 2.5 km) was used to aggregate the data. Each of the 39,337 cells overlapping the marine environment was characterized using landscape, hydrographic, and oceanographic parameters determined from observations (including satellite imagery), a 3D circulation model, and published and unpublished material available at local and regional scales.PurposeThe dataset provides useful information on the spatial extent of major coastal epipelagic habitats in the study area and can be used for mapping purposes and for analyses of species-habitat relationships.Additional InformationThe low tide limit was taken as the upper (0 m) boundary, but neighbouring landscape features, such as the proximity to freshwater inflows, surface area of the tidal zone, and characteristics of the shoreline, were also taken into consideration.Also, each cell was classified as being marine, intertidal, or terrestrial using the high and low tide marks. Those marks were determined using NRCan CANVEC topographic map products (1:50,000). The high tide mark was determined as the limit between the land and water layers. The low tide mark (0 m depth) was determined as the lower limit of the tidal zone in areas with a tidal zone, and as the limit between the land and water layers elsewhere.See the report mentioned below for a more detailed description of the treatments for each variable:Dutil, J.-D., S. Proulx, P. Galbraith, J. Chassé and N. Lambert 2012. Coastal and epipelagic habitats of the St. Lawrence estuary and Gulf. Can. Tech. Rep. Fish. Aquat. Sci. 3009 : ix +87 pp.
Tidal marshes in the maritime coastal zone of Quebec
This dataset was designed for Environment and Climate Change Canada's (ECCC) National Environmental Emergencies Center (NEEC) for oil spill preparedness and response. The polygons from this layer come from the coastal ecosystems geodatabase as part of the Mapping of coastal ecosystems of the Estuary and Gulf of St. Lawrence project. This layer represents semi-vegetated (25-75%) and vegetated (75-100%) zones of which marsh vegetation is the dominant. The study area includes all of the estuarine and maritime coasts of Quebec, with the exception of certain sectors, including most of the Lower North Shore and Anticosti Island, with the exception of villages of Kegaska, la Romaine, Chevery, Blanc-Sablon and Port-Menier. Some islands off the estuary and gulf coasts are part of the region covered, such as Île d'Orléans, Isle-aux-Coudres, Île Verte and Île Bonaventure.The mapping of coastal ecosystems was carried out jointly by the Laboratory for Dynamics and Integrated Coastal Zone Management (LDGIZC) of the University of Quebec at Rimouski as part of the Coastal Resilience Project (https: //ldgizc.uqar.ca/Web/projets/projet-resilience-cotiere) funded by the MELCC; and by the Fisheries and Oceans Canada team, as part of its Integrated marine response planning (IMRP) component of the Oceans Protection Plan (OPP), with the objective of updating the Marine Oil Spill Preparedness and Response Regime of Canada. The master geodatabase of coastal ecosystems is hosted and distributed by UQAR on their SIGEC-Web mapping platform: https://ldgizc.uqar.ca/Web/sigecwebThe characterization of marshes was mainly carried out using photo-interpretation of RVBI aerial photos acquired by DFO (2015-2020) and oblique photos taken by helicopter acquired by UQAR in 2017. This dataset also includes the information from validation stations visited by UQAR (2018-2020), used to validate and refine the photo-interpretation.
Acoustic Doppler Current Profiler data from the Coast of Bays, Newfoundland
The dataset includes timeseries of horizontal current speed and direction, vertical current speed, water depth, and temperature at instrument depth from Acoustic Doppler Current Profiler (ADCP) moorings. Data were collected as part of a multiyear effort lead by Fisheries and Oceans Canada (DFO) to support sustainable aquaculture regulation in the Coast of Bays, an area of the south coast of Newfoundland. This dataset is the third of a series aiming to provide an oceanographic knowledge baseline of the Coast of Bays, Newfoundland. It consists of 73 ADCP timeseries varying in length from about 26 days to 235 days collected between 2009 and 2014. Analyses from this dataset were presented during a Canadian Science Advisory Secretariat (CSAS) meeting which took place in St John’s in March 2015 (http://www.dfo-mpo.gc.ca/csas-sccs/schedule-horraire/2015/03_25-26b-eng.html) and from which a Science Advisory Report (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/SAR-AS/2016/2016_039-eng.html), Proceedings (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/Pro-Cr/2017/2017_043-eng.html) and several research documents were published.
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