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You searched for subject:(Beaches Ontario Toronto). Showing records 1 – 3 of 3 total matches.

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Ryerson University

1. Klein, Laura Marie. Investigating the effectiveness of Blue Flag as a tool for environmental protection.

Degree: 2016, Ryerson University

Beach certification schemes, such as Blue Flag, have become prevalent in the current literature as a beach management tool that is said to bridge the gap between recreation and conservation. There has been limited research done to determine if Blue Flag is actually being successfully used as a tool for environmental protection. This study investigates the effectiveness of Blue Flag as a management tool for environmental protection in Ontario. Semi-structured interviews were conducted with beach managers along the shoreline of the Great Lakes who represent a municipality involved in the Blue Flag program. The key findings of this research reveal that currently Blue Flag is not being used as an effective beach management tool for environmental protection. This study provides indication that beach managers do not think that municipalities adopting Blue Flag will have a direct impact on improving the health and protection of the Great Lakes.

Subjects/Keywords: Water quality  – Ontario, Lake (N.Y. and Ont.); Beaches  – Environmental aspects  – Ontario; Beaches  – Management  – Ontario; Beaches  – Ontario  – Toronto; Beaches  – Ontario; Bathing beaches  – Standards  – Ontario; Environmental protection  – Ontario

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Klein, L. M. (2016). Investigating the effectiveness of Blue Flag as a tool for environmental protection. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A5640

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Klein, Laura Marie. “Investigating the effectiveness of Blue Flag as a tool for environmental protection.” 2016. Thesis, Ryerson University. Accessed November 20, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A5640.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Klein, Laura Marie. “Investigating the effectiveness of Blue Flag as a tool for environmental protection.” 2016. Web. 20 Nov 2019.

Vancouver:

Klein LM. Investigating the effectiveness of Blue Flag as a tool for environmental protection. [Internet] [Thesis]. Ryerson University; 2016. [cited 2019 Nov 20]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5640.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Klein LM. Investigating the effectiveness of Blue Flag as a tool for environmental protection. [Thesis]. Ryerson University; 2016. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5640

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ryerson University

2. Golovkin, Anna. Analyzing the effect of mid-rise development on retail vibrancy in the Beach.

Degree: 2016, Ryerson University

In order to meet provincially-mandated growth targets, the City of Toronto has embraced mid-rise infill development along transit-supported avenues as the preferred approach to intensification and reurbanization. In the Beach neighbourhood, growing development pressure along Queen Street East within the Woodbine Beach Precinct has resulted in a departure from fine grain retail, which is still prominent in the eastern part of the neighbourhood. Using a set of key retail vibrancy indicators, this study explores how this new built form is affecting retail businesses on an important historic main street. Implications regarding the existing retail planning approach are discussed, as well as recommendations for strengthening city-wide retail policy, and in turn retail vibrancy in the Beach neighbourhood. Keywords: retail vibrancy, main street, fine grain, mid-rise, retail development, Toronto

Subjects/Keywords: Community development, Urban  – Ontario  – Toronto  – Case studies; Stores, Retail  – Planning  – Ontario  – Toronto; Neighborhood planning  – Ontario  – Toronto  – Case studies; Beaches, The (Toronto, Ontario); City planning  – Ontario  – Toronto

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Golovkin, A. (2016). Analyzing the effect of mid-rise development on retail vibrancy in the Beach. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A5099

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Golovkin, Anna. “Analyzing the effect of mid-rise development on retail vibrancy in the Beach.” 2016. Thesis, Ryerson University. Accessed November 20, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A5099.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Golovkin, Anna. “Analyzing the effect of mid-rise development on retail vibrancy in the Beach.” 2016. Web. 20 Nov 2019.

Vancouver:

Golovkin A. Analyzing the effect of mid-rise development on retail vibrancy in the Beach. [Internet] [Thesis]. Ryerson University; 2016. [cited 2019 Nov 20]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5099.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Golovkin A. Analyzing the effect of mid-rise development on retail vibrancy in the Beach. [Thesis]. Ryerson University; 2016. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5099

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ryerson University

3. Mavani, Jainy. Artificial neural network based nowcasting model for beach water quality.

Degree: 2014, Ryerson University

Recreational water users may be exposed to elevated pathogen levels that originate from various point and non-point sources. Current daily notifications practice depends on microbial analysis of indicator organisms such as Escherichia coli (E. coli) that require 18-24 hours to provide sufficient response. This research evaluated the use of Artificial Neural Networks (ANNs) for real time prediction of E. coli concentration in water at Toronto beaches (Ontario, Canada). The nowcasting models were developed in combination with readily available real-time environmental and hydro-meteorological data during the bathing season (June-August) of 2008 to 2012. The results of the developed ANN models were compared with historic data and found that the predictions of E. coli concentrations generated by ANN models slightly outperforms than currently used persistence model with better accuracy. The best performing ANN models for each beach are able to predict approximately 74% to 82% of the E. coli concentrations. Advisors/Committee Members: Ryerson University (Degree grantor), Li, Dr. Songnian (Thesis advisor), Joksimovic, Dr. Darko (Thesis advisor).

Subjects/Keywords: Water  – Pollution  – Ontario, Lake (N.Y. and Ont.)  – Mathematical models; Neural networks (Computer science); Escherichia coli  – Ontario, Lake (N.Y. and Ont.)  – Forecasting; Escherichia coli  – Ontario, Lake (N.Y. and Ont.)  – Measurement; Bathing beaches  – Ontario  – Toronto  – Environmental aspects

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mavani, J. (2014). Artificial neural network based nowcasting model for beach water quality. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3358

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mavani, Jainy. “Artificial neural network based nowcasting model for beach water quality.” 2014. Thesis, Ryerson University. Accessed November 20, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A3358.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mavani, Jainy. “Artificial neural network based nowcasting model for beach water quality.” 2014. Web. 20 Nov 2019.

Vancouver:

Mavani J. Artificial neural network based nowcasting model for beach water quality. [Internet] [Thesis]. Ryerson University; 2014. [cited 2019 Nov 20]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3358.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mavani J. Artificial neural network based nowcasting model for beach water quality. [Thesis]. Ryerson University; 2014. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3358

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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