Decision models enhancing environmental flow sustainability: A strategic approach to water resource management
Proper water resource management is essential for maintaining a sustainable supply chain and meeting water demand. The urgent need to preserve river ecosystems by sustaining environmental flow (EF) in the realm of environmental management has been highlighted by the drastic changes to river ecosyste...
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| Format: | Article |
| Language: | English |
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AIMS Press
2024-10-01
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| Series: | AIMS Environmental Science |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/environsci.2024045 |
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| author | Seiran Haghgoo Jamil Amanollahi Barzan Bahrami Kamangar Shahryar Sorooshian |
| author_facet | Seiran Haghgoo Jamil Amanollahi Barzan Bahrami Kamangar Shahryar Sorooshian |
| author_sort | Seiran Haghgoo |
| collection | DOAJ |
| description | Proper water resource management is essential for maintaining a sustainable supply chain and meeting water demand. The urgent need to preserve river ecosystems by sustaining environmental flow (EF) in the realm of environmental management has been highlighted by the drastic changes to river ecosystems and upstream flow dynamics brought about by careless river exploitation in the last few decades. To optimize EF in river basin management, we present an integrated modeling approach. We focused on the Pir Khezran River basin. Our objective was to estimate EF and generalize the findings to adjacent rivers using modeling techniques, thus providing valuable insights for environmental management applications. The assessment and optimization of EF under uncertain conditions was achieved by combining physical habitat simulation (PHABSIM) modeling with advanced techniques like Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Multilayer Perceptron (MLP) neural networks. This integrated modeling approach contributes to sustainable solutions for river basin management and environmental conservation by effectively optimizing EF, as demonstrated by the results. This research, therefore, makes valuable contributions to environmental management in various areas such as ecological preservation, modeling and optimizing environmental systems, and policy considerations. |
| format | Article |
| id | doaj-art-21ebee75ba2a4e4786db038437c0be6c |
| institution | Kabale University |
| issn | 2372-0352 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Environmental Science |
| spelling | doaj-art-21ebee75ba2a4e4786db038437c0be6c2025-01-24T01:31:32ZengAIMS PressAIMS Environmental Science2372-03522024-10-0111690091710.3934/environsci.2024045Decision models enhancing environmental flow sustainability: A strategic approach to water resource managementSeiran Haghgoo0Jamil Amanollahi1Barzan Bahrami Kamangar2Shahryar Sorooshian3Department of Environmental Sciences, Faculty of Natural Resources, University of Kurdistan, IranDepartment of Environmental Sciences, Faculty of Natural Resources, University of Kurdistan, IranDepartment of Fisheries, Faculty of Natural Resources, University of Kurdistan, IranDepartment of Business Administration, University of Gothenburg, SwedenProper water resource management is essential for maintaining a sustainable supply chain and meeting water demand. The urgent need to preserve river ecosystems by sustaining environmental flow (EF) in the realm of environmental management has been highlighted by the drastic changes to river ecosystems and upstream flow dynamics brought about by careless river exploitation in the last few decades. To optimize EF in river basin management, we present an integrated modeling approach. We focused on the Pir Khezran River basin. Our objective was to estimate EF and generalize the findings to adjacent rivers using modeling techniques, thus providing valuable insights for environmental management applications. The assessment and optimization of EF under uncertain conditions was achieved by combining physical habitat simulation (PHABSIM) modeling with advanced techniques like Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Multilayer Perceptron (MLP) neural networks. This integrated modeling approach contributes to sustainable solutions for river basin management and environmental conservation by effectively optimizing EF, as demonstrated by the results. This research, therefore, makes valuable contributions to environmental management in various areas such as ecological preservation, modeling and optimizing environmental systems, and policy considerations.https://www.aimspress.com/article/doi/10.3934/environsci.2024045environmental conservationwater resource managementenvironmental flow optimizationriver basin |
| spellingShingle | Seiran Haghgoo Jamil Amanollahi Barzan Bahrami Kamangar Shahryar Sorooshian Decision models enhancing environmental flow sustainability: A strategic approach to water resource management AIMS Environmental Science environmental conservation water resource management environmental flow optimization river basin |
| title | Decision models enhancing environmental flow sustainability: A strategic approach to water resource management |
| title_full | Decision models enhancing environmental flow sustainability: A strategic approach to water resource management |
| title_fullStr | Decision models enhancing environmental flow sustainability: A strategic approach to water resource management |
| title_full_unstemmed | Decision models enhancing environmental flow sustainability: A strategic approach to water resource management |
| title_short | Decision models enhancing environmental flow sustainability: A strategic approach to water resource management |
| title_sort | decision models enhancing environmental flow sustainability a strategic approach to water resource management |
| topic | environmental conservation water resource management environmental flow optimization river basin |
| url | https://www.aimspress.com/article/doi/10.3934/environsci.2024045 |
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