{"id":{"repo_id":"regina","oai_identifier":"oai:uregina.scholaris.ca:10294/6834"},"canonical_url":"https://search.dev.ndltd.org/etd/regina/oai:uregina.scholaris.ca:10294/6834","repository":{"repo_id":"regina","name":"University of Regina","base_url":"https://uregina.scholaris.ca/server/oai/request"},"display":{"title":"Inexact Two-Stage Fuzzy Chance- Constrained Programming for Water Resource Management under Uncertainties","abstract":"Yongxin County is located in the west of Jiangxi Province, China, within the middle reaches of the Heshui River Basin. The Heshui River provides the primary water resource for local economic activities. In recent years, there has been an increase in water demand in Yongxin County due to rapid economic development and rapid population growth. Water quality management has also been a major concern for local governments, which is not only affecting economic development but also threatening the sustainability of water resources. The local area has encountered local economic development problems with environmental concerns about water shortages and pollution. This research intends to provide strategies for supporting sustainable planning within the basin in the County under uncertainties, focusing on integrated water resources management. An inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method for water resources management is proposed to analyze the tradeoffs between economic development and environmental policies. The uncertainties associated with decision makers’ preferences are expressed as fuzzy sets to quantitatively reflect the interrelationships between system benefits and violation risks. To better examine the multiple objectives and uncertainties in the water management system, an inexact twostage fuzzy gradient chance-constrained fractional programming (ITSFGFP) water resources management model is developed. The proposed model is capable of incorporating ratio optimization and measuring system efficiency. The results show that the priority of local development should be fisheries, forestry and industrial activities. Subareas 1, 3 and 4 would be dominant sectors in local economic income. Portions of cropping and livestock, such as paddy and pig farming should be limited when the water supply is insufficient. When the decision makers prefer to be optimistic, the economic development of subareas 1, 3 and 4 should be considered first. If the decision makers wish to be conservative, the economic development of subareas 2 and 5 would be prior. When considering both economic development and water conservation objectives, the development of paddy and dry framing in subarea 1 and pig farming in subarea 1 and 3 should be limited. This study provides a valuable scientific basis for local sustainable development, especially for water resources and water quality management.","abstract_html":"Yongxin County is located in the west of Jiangxi Province, China, within the middle reaches of the Heshui River Basin. The Heshui River provides the primary water resource for local economic activities. In recent years, there has been an increase in water demand in Yongxin County due to rapid economic development and rapid population growth. Water quality management has also been a major concern for local governments, which is not only affecting economic development but also threatening the sustainability of water resources. The local area has encountered local economic development problems with environmental concerns about water shortages and pollution. This research intends to provide strategies for supporting sustainable planning within the basin in the County under uncertainties, focusing on integrated water resources management. An inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method for water resources management is proposed to analyze the tradeoffs between economic development and environmental policies. The uncertainties associated with decision makers’ preferences are expressed as fuzzy sets to quantitatively reflect the interrelationships between system benefits and violation risks. To better examine the multiple objectives and uncertainties in the water management system, an inexact twostage fuzzy gradient chance-constrained fractional programming (ITSFGFP) water resources management model is developed. The proposed model is capable of incorporating ratio optimization and measuring system efficiency. The results show that the priority of local development should be fisheries, forestry and industrial activities. Subareas 1, 3 and 4 would be dominant sectors in local economic income. Portions of cropping and livestock, such as paddy and pig farming should be limited when the water supply is insufficient. When the decision makers prefer to be optimistic, the economic development of subareas 1, 3 and 4 should be considered first. If the decision makers wish to be conservative, the economic development of subareas 2 and 5 would be prior. When considering both economic development and water conservation objectives, the development of paddy and dry framing in subarea 1 and pig farming in subarea 1 and 3 should be limited. This study provides a valuable scientific basis for local sustainable development, especially for water resources and water quality management.","abstract_has_math":false,"creators":["Xu, Jiaxuan"],"institution":"Faculty of Graduate Studies and Research, University of Regina","degree_name":"Master of Applied Science (MASc)","degree_level":"Master's","degree_discipline":"Engineering - Environmental Systems","degree_department":null,"school":null,"contributors":[],"advisors":["Huang, Guo H."],"committee_chairs":[],"committee_members":["Azam, Shahid"],"year":2015,"date_issued":"2015-08","date_published":"2015-08","updated_at":"2026-07-24T04:03:25Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/3733"],"render_values":[{"text":"https://doi.org/10.82465/3733","href":"https://doi.org/10.82465/3733","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10294/6834","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Huang, Guo H."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Azam, Shahid"]},{"key":"dc:creator","label":"Author","values":["Xu, Jiaxuan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2016-07-27T19:35:17Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-07-27T19:35:17Z"]},{"key":"dc:date.issued","label":"Date","values":["2015-08"]},{"key":"dc:publisher","label":"Institution","values":["Faculty of Graduate Studies and Research, University of Regina"]},{"key":"dc:type","label":"Dc Type","values":["master thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering - Environmental Systems"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Faculty of Graduate Studies and Research, University of Regina"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/3733"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10294/6834"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Environmental Systems Engineering, University of Regina. x, 182 p."]},{"key":"dc:description.abstract","label":"Abstract","values":["Yongxin County is located in the west of Jiangxi Province, China, within the middle reaches of the Heshui River Basin. The Heshui River provides the primary water resource for local economic activities. In recent years, there has been an increase in water demand in Yongxin County due to rapid economic development and rapid population growth. Water quality management has also been a major concern for local governments, which is not only affecting economic development but also threatening the sustainability of water resources. The local area has encountered local economic development problems with environmental concerns about water shortages and pollution. This research intends to provide strategies for supporting sustainable planning within the basin in the County under uncertainties, focusing on integrated water resources management. An inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method for water resources management is proposed to analyze the tradeoffs between economic development and environmental policies. The uncertainties associated with decision makers’ preferences are expressed as fuzzy sets to quantitatively reflect the interrelationships between system benefits and violation risks. To better examine the multiple objectives and uncertainties in the water management system, an inexact twostage fuzzy gradient chance-constrained fractional programming (ITSFGFP) water resources management model is developed. The proposed model is capable of incorporating ratio optimization and measuring system efficiency. The results show that the priority of local development should be fisheries, forestry and industrial activities. Subareas 1, 3 and 4 would be dominant sectors in local economic income. Portions of cropping and livestock, such as paddy and pig farming should be limited when the water supply is insufficient. When the decision makers prefer to be optimistic, the economic development of subareas 1, 3 and 4 should be considered first. If the decision makers wish to be conservative, the economic development of subareas 2 and 5 would be prior. When considering both economic development and water conservation objectives, the development of paddy and dry framing in subarea 1 and pig farming in subarea 1 and 3 should be limited. This study provides a valuable scientific basis for local sustainable development, especially for water resources and water quality management."]},{"key":"dc:title","label":"Title","values":["Inexact Two-Stage Fuzzy Chance- Constrained Programming for Water Resource Management under Uncertainties"]}]}],"canonical_facts":{"dc:contributor.advisor":["Huang, Guo H."],"dc:contributor.committeemember":["Azam, Shahid"],"dc:creator":["Xu, Jiaxuan"],"dc:date.accessioned":["2016-07-27T19:35:17Z"],"dc:date.available":["2016-07-27T19:35:17Z"],"dc:date.issued":["2015-08"],"dc:description":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Environmental Systems Engineering, University of Regina. x, 182 p."],"dc:description.abstract":["Yongxin County is located in the west of Jiangxi Province, China, within the middle reaches of the Heshui River Basin. The Heshui River provides the primary water resource for local economic activities. In recent years, there has been an increase in water demand in Yongxin County due to rapid economic development and rapid population growth. Water quality management has also been a major concern for local governments, which is not only affecting economic development but also threatening the sustainability of water resources. The local area has encountered local economic development problems with environmental concerns about water shortages and pollution. This research intends to provide strategies for supporting sustainable planning within the basin in the County under uncertainties, focusing on integrated water resources management. An inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method for water resources management is proposed to analyze the tradeoffs between economic development and environmental policies. The uncertainties associated with decision makers’ preferences are expressed as fuzzy sets to quantitatively reflect the interrelationships between system benefits and violation risks. To better examine the multiple objectives and uncertainties in the water management system, an inexact twostage fuzzy gradient chance-constrained fractional programming (ITSFGFP) water resources management model is developed. The proposed model is capable of incorporating ratio optimization and measuring system efficiency. The results show that the priority of local development should be fisheries, forestry and industrial activities. Subareas 1, 3 and 4 would be dominant sectors in local economic income. Portions of cropping and livestock, such as paddy and pig farming should be limited when the water supply is insufficient. When the decision makers prefer to be optimistic, the economic development of subareas 1, 3 and 4 should be considered first. If the decision makers wish to be conservative, the economic development of subareas 2 and 5 would be prior. When considering both economic development and water conservation objectives, the development of paddy and dry framing in subarea 1 and pig farming in subarea 1 and 3 should be limited. This study provides a valuable scientific basis for local sustainable development, especially for water resources and water quality management."],"dc:identifier.doi":["https://doi.org/10.82465/3733"],"dc:identifier.uri":["https://hdl.handle.net/10294/6834"],"dc:language.iso":["en"],"dc:publisher":["Faculty of Graduate Studies and Research, University of Regina"],"dc:title":["Inexact Two-Stage Fuzzy Chance- Constrained Programming for Water Resource Management under Uncertainties"],"dc:type":["master thesis"],"thesis:degree_discipline":["Engineering - Environmental Systems"],"thesis:degree_level":["Master's"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["Faculty of Graduate Studies and Research, University of Regina"]},"updated_at":"2026-07-24T04:03:25Z"}