An ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs
Linking ecohydraulic modeling and reservoir operation optimization is a requirement for robust management of the environmental degradations at the downstream of the reservoirs. The present study proposes and evaluates an ecohydraulic-based expert system to optimize environmental flow at the downstre...
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IWA Publishing
2021
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oai:doaj.org-article:a92f236492654800a2d22de7347f0f292021-11-23T18:48:50ZAn ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs1464-71411465-173410.2166/hydro.2021.112https://doaj.org/article/a92f236492654800a2d22de7347f0f292021-11-01T00:00:00Zhttp://jh.iwaponline.com/content/23/6/1343https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734Linking ecohydraulic modeling and reservoir operation optimization is a requirement for robust management of the environmental degradations at the downstream of the reservoirs. The present study proposes and evaluates an ecohydraulic-based expert system to optimize environmental flow at the downstream of the reservoirs. Three fuzzy inference systems including physical habitat assessment, water quality assessment and combined suitability assessment were developed based on the expert panel method. Moreover, water temperature and dissolved oxygen were simulated by the coupled particle swarm optimization (PSO)–adaptive neuro-fuzzy inference system. Three evolutionary algorithms including PSO, differential evolution algorithm (DE) and biogeography-based optimization were applied to optimize the environmental flow regime. A fuzzy technique for order of preference by similarity to ideal solution was applied to select the best evolutionary algorithm to assess environmental flow. Based on the results in the case study, the proposed method provides a robust framework for simultaneous management of environmental flow and water supply. DE was selected as the best algorithm to optimize environmental flow. The optimization system was able to balance habitat losses, storage loss and water supply loss that might reduce negotiations between the stakeholders and environmental managers in the reservoir management. HIGHLIGHTS Environmental flow at downstream of dams is critical to protect river habitats.; The present study proposes an ecohydraulic expert system for the reservoir operation.; Optimal environmental flow and water supply are the outputs of the model.; The developed system can minimize physical and water quality habitat losses.; Differential evolution was the best optimization algorithm in the case study.;Mahdi SedighkiaBithin DattaAsghar AbdoliZahra MoradianIWA Publishingarticleenvironmental flowhabitat suitabilityknowledge-based systemmetaheuristic optimizationreservoir operationInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 6, Pp 1343-1367 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
environmental flow habitat suitability knowledge-based system metaheuristic optimization reservoir operation Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 |
| spellingShingle |
environmental flow habitat suitability knowledge-based system metaheuristic optimization reservoir operation Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Mahdi Sedighkia Bithin Datta Asghar Abdoli Zahra Moradian An ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs |
| description |
Linking ecohydraulic modeling and reservoir operation optimization is a requirement for robust management of the environmental degradations at the downstream of the reservoirs. The present study proposes and evaluates an ecohydraulic-based expert system to optimize environmental flow at the downstream of the reservoirs. Three fuzzy inference systems including physical habitat assessment, water quality assessment and combined suitability assessment were developed based on the expert panel method. Moreover, water temperature and dissolved oxygen were simulated by the coupled particle swarm optimization (PSO)–adaptive neuro-fuzzy inference system. Three evolutionary algorithms including PSO, differential evolution algorithm (DE) and biogeography-based optimization were applied to optimize the environmental flow regime. A fuzzy technique for order of preference by similarity to ideal solution was applied to select the best evolutionary algorithm to assess environmental flow. Based on the results in the case study, the proposed method provides a robust framework for simultaneous management of environmental flow and water supply. DE was selected as the best algorithm to optimize environmental flow. The optimization system was able to balance habitat losses, storage loss and water supply loss that might reduce negotiations between the stakeholders and environmental managers in the reservoir management. HIGHLIGHTS
Environmental flow at downstream of dams is critical to protect river habitats.;
The present study proposes an ecohydraulic expert system for the reservoir operation.;
Optimal environmental flow and water supply are the outputs of the model.;
The developed system can minimize physical and water quality habitat losses.;
Differential evolution was the best optimization algorithm in the case study.; |
| format |
article |
| author |
Mahdi Sedighkia Bithin Datta Asghar Abdoli Zahra Moradian |
| author_facet |
Mahdi Sedighkia Bithin Datta Asghar Abdoli Zahra Moradian |
| author_sort |
Mahdi Sedighkia |
| title |
An ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs |
| title_short |
An ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs |
| title_full |
An ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs |
| title_fullStr |
An ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs |
| title_full_unstemmed |
An ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs |
| title_sort |
ecohydraulic-based expert system for optimal management of environmental flow at the downstream of reservoirs |
| publisher |
IWA Publishing |
| publishDate |
2021 |
| url |
https://doaj.org/article/a92f236492654800a2d22de7347f0f29 |
| work_keys_str_mv |
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| _version_ |
1718416172278349824 |