{"id":{"repo_id":"queens","oai_identifier":"oai:queensu.scholaris.ca:1974/34746"},"canonical_url":"https://search.dev.ndltd.org/etd/queens/oai:queensu.scholaris.ca:1974/34746","repository":{"repo_id":"queens","name":"Queens University","base_url":"https://qspace.library.queensu.ca/server/oai/request"},"display":{"title":"Identifying Optimal Sites for Aquaculture in Southern Ontario Aggregate Pit Lakes: A Sustainable Post-Mining Land-Use Alternative","abstract":"Approximately 20%, or 967 aggregate extraction operations in southern Ontario, currently operate below the water table. As these sites transition into pit lakes, they are often characterized by low nutrients, steep walls, and limited biological activity. These future pit lakes represent a unique opportunity for repurposing to create positive social and economic impacts. However, effective post-mining land-use (PMLU) in pit lakes must carefully consider the limnology, geography, and technical attributes of each site. We propose the implementation of aquaculture as an innovative and sustainable PMLU strategy in pit lakes. With proper management, aquaculture creates a positive environmental, economic and social impact by adding nutrients to the oligotrophic lake, generating jobs and producing new regional food sources. Currently, there are no standardized methods or criteria to assess pit lakes for aquaculture suitability. Similarly, no comprehensive public database of pit lakes exists in Ontario. As such, we synthesize knowledge from scientific literature, historical cases of aquaculture and conducted interviews with experts to summarize the aquaculture success criteria. Then, we developed a GIS database for aggregate pit lakes in southern Ontario that includes social, technical and economic indicators derived from publicly available data. Finally, to further facilitate the decision-making processes, we developed a pre-screening model that assigns compatibility scores to each site. Our pre-screening model leverages a multi-criteria decision analysis methodology using 6 proxy indicators such as lake surface area, thermal profile and local community vulnerability indicators. Our model aggregates this data and then assigns scores to each pit lake using both the Simple Additive Weighting (SAW) and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) multi-criteria decision analysis. According to our model, multiple sites in our 186-pit lake database demonstrate the fundamental characteristics for suitability to aquaculture. Our comprehensive research, data solutions and pre-screening tool facilitate the development of sustainable and innovative pit lake rehabilitation techniques. Future research will further expand our scope beyond southern Ontario and assess other PMLU opportunities associated with valuable mine waters.","abstract_html":"Approximately 20%, or 967 aggregate extraction operations in southern Ontario, currently operate below the water table. As these sites transition into pit lakes, they are often characterized by low nutrients, steep walls, and limited biological activity. These future pit lakes represent a unique opportunity for repurposing to create positive social and economic impacts. However, effective post-mining land-use (PMLU) in pit lakes must carefully consider the limnology, geography, and technical attributes of each site. We propose the implementation of aquaculture as an innovative and sustainable PMLU strategy in pit lakes. With proper management, aquaculture creates a positive environmental, economic and social impact by adding nutrients to the oligotrophic lake, generating jobs and producing new regional food sources. Currently, there are no standardized methods or criteria to assess pit lakes for aquaculture suitability. Similarly, no comprehensive public database of pit lakes exists in Ontario. As such, we synthesize knowledge from scientific literature, historical cases of aquaculture and conducted interviews with experts to summarize the aquaculture success criteria. Then, we developed a GIS database for aggregate pit lakes in southern Ontario that includes social, technical and economic indicators derived from publicly available data. Finally, to further facilitate the decision-making processes, we developed a pre-screening model that assigns compatibility scores to each site. Our pre-screening model leverages a multi-criteria decision analysis methodology using 6 proxy indicators such as lake surface area, thermal profile and local community vulnerability indicators. Our model aggregates this data and then assigns scores to each pit lake using both the Simple Additive Weighting (SAW) and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) multi-criteria decision analysis. According to our model, multiple sites in our 186-pit lake database demonstrate the fundamental characteristics for suitability to aquaculture. Our comprehensive research, data solutions and pre-screening tool facilitate the development of sustainable and innovative pit lake rehabilitation techniques. Future research will further expand our scope beyond southern Ontario and assess other PMLU opportunities associated with valuable mine waters.","abstract_has_math":false,"creators":["Page, Nicolas"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Mining Engineering","school":null,"contributors":[],"advisors":["Zhang, Qian"],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-08-07","date_published":"2025-08-07","updated_at":"2026-07-27T20:35:17Z","subjects":["Post-mining land use","Sustainable mining","Multi-criteria decision-making","Geographic information system","Aquaculture","Pit lakes","Circular economy"],"languages":["eng"],"rights":["Attribution-NonCommercial-NoDerivatives 4.0 International","Copying and Preserving Your Thesis"],"rights_urls":["http://creativecommons.org/licenses/by-nc-nd/4.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1974/34746","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Mining Engineering"]},{"key":"dc:contributor.supervisor","label":"Supervisor","values":["Zhang, Qian"]},{"key":"dc:creator","label":"Author","values":["Page, Nicolas"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-08-07T14:57:36Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-08-07T14:57:36Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-08-07"]},{"key":"dc:type","label":"Dc Type","values":["thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Post-mining land use","Sustainable mining","Multi-criteria decision-making","Geographic information system","Aquaculture","Pit lakes","Circular economy"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Attribution-NonCommercial-NoDerivatives 4.0 International","Copying and Preserving Your Thesis"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://creativecommons.org/licenses/by-nc-nd/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1974/34746"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Approximately 20%, or 967 aggregate extraction operations in southern Ontario, currently operate below the water table. As these sites transition into pit lakes, they are often characterized by low nutrients, steep walls, and limited biological activity. These future pit lakes represent a unique opportunity for repurposing to create positive social and economic impacts. However, effective post-mining land-use (PMLU) in pit lakes must carefully consider the limnology, geography, and technical attributes of each site. We propose the implementation of aquaculture as an innovative and sustainable PMLU strategy in pit lakes. With proper management, aquaculture creates a positive environmental, economic and social impact by adding nutrients to the oligotrophic lake, generating jobs and producing new regional food sources. Currently, there are no standardized methods or criteria to assess pit lakes for aquaculture suitability. Similarly, no comprehensive public database of pit lakes exists in Ontario. As such, we synthesize knowledge from scientific literature, historical cases of aquaculture and conducted interviews with experts to summarize the aquaculture success criteria. Then, we developed a GIS database for aggregate pit lakes in southern Ontario that includes social, technical and economic indicators derived from publicly available data. Finally, to further facilitate the decision-making processes, we developed a pre-screening model that assigns compatibility scores to each site. Our pre-screening model leverages a multi-criteria decision analysis methodology using 6 proxy indicators such as lake surface area, thermal profile and local community vulnerability indicators. Our model aggregates this data and then assigns scores to each pit lake using both the Simple Additive Weighting (SAW) and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) multi-criteria decision analysis. According to our model, multiple sites in our 186-pit lake database demonstrate the fundamental characteristics for suitability to aquaculture. Our comprehensive research, data solutions and pre-screening tool facilitate the development of sustainable and innovative pit lake rehabilitation techniques. Future research will further expand our scope beyond southern Ontario and assess other PMLU opportunities associated with valuable mine waters."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.A.Sc."]},{"key":"dc:title","label":"Title","values":["Identifying Optimal Sites for Aquaculture in Southern Ontario Aggregate Pit Lakes: A Sustainable Post-Mining Land-Use Alternative"]}]}],"canonical_facts":{"dc:contributor.department":["Mining Engineering"],"dc:contributor.supervisor":["Zhang, Qian"],"dc:creator":["Page, Nicolas"],"dc:date.accessioned":["2025-08-07T14:57:36Z"],"dc:date.available":["2025-08-07T14:57:36Z"],"dc:date.issued":["2025-08-07"],"dc:description.abstract":["Approximately 20%, or 967 aggregate extraction operations in southern Ontario, currently operate below the water table. As these sites transition into pit lakes, they are often characterized by low nutrients, steep walls, and limited biological activity. These future pit lakes represent a unique opportunity for repurposing to create positive social and economic impacts. However, effective post-mining land-use (PMLU) in pit lakes must carefully consider the limnology, geography, and technical attributes of each site. We propose the implementation of aquaculture as an innovative and sustainable PMLU strategy in pit lakes. With proper management, aquaculture creates a positive environmental, economic and social impact by adding nutrients to the oligotrophic lake, generating jobs and producing new regional food sources. Currently, there are no standardized methods or criteria to assess pit lakes for aquaculture suitability. Similarly, no comprehensive public database of pit lakes exists in Ontario. As such, we synthesize knowledge from scientific literature, historical cases of aquaculture and conducted interviews with experts to summarize the aquaculture success criteria. Then, we developed a GIS database for aggregate pit lakes in southern Ontario that includes social, technical and economic indicators derived from publicly available data. Finally, to further facilitate the decision-making processes, we developed a pre-screening model that assigns compatibility scores to each site. Our pre-screening model leverages a multi-criteria decision analysis methodology using 6 proxy indicators such as lake surface area, thermal profile and local community vulnerability indicators. Our model aggregates this data and then assigns scores to each pit lake using both the Simple Additive Weighting (SAW) and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) multi-criteria decision analysis. According to our model, multiple sites in our 186-pit lake database demonstrate the fundamental characteristics for suitability to aquaculture. Our comprehensive research, data solutions and pre-screening tool facilitate the development of sustainable and innovative pit lake rehabilitation techniques. Future research will further expand our scope beyond southern Ontario and assess other PMLU opportunities associated with valuable mine waters."],"dc:description.degree":["M.A.Sc."],"dc:identifier.uri":["https://hdl.handle.net/1974/34746"],"dc:language.iso":["eng"],"dc:rights":["Attribution-NonCommercial-NoDerivatives 4.0 International","Copying and Preserving Your Thesis"],"dc:rights.uri":["http://creativecommons.org/licenses/by-nc-nd/4.0/"],"dc:subject":["Post-mining land use","Sustainable mining","Multi-criteria decision-making","Geographic information system","Aquaculture","Pit lakes","Circular economy"],"dc:title":["Identifying Optimal Sites for Aquaculture in Southern Ontario Aggregate Pit Lakes: A Sustainable Post-Mining Land-Use Alternative"],"dc:type":["thesis"]},"updated_at":"2026-07-27T20:35:17Z"}