A Conceptual Framework of a Surrogate-based Quality-Quantity Decision Support System (Q2DSS) for Water Resources Systems
The water crisis in different countries of the world has made the earth undergo tremendous changes compared to the past years. Therefore, it is very necessary to have intelligent systems that can help managers make correct and optimal decisions in various possible conditions. In recent years, the bi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Shahid Chamran University of Ahvaz
2020-03-01
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| Series: | Journal of Hydraulic Structures |
| Subjects: | |
| Online Access: | https://jhs.scu.ac.ir/article_15464_382d07c0c7b112edea22619167a3e9d0.pdf |
| _version_ | 1797465929369518080 |
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| author | Seyed Mohammad Ashrafi Tayebeh Moradpoor |
| author_facet | Seyed Mohammad Ashrafi Tayebeh Moradpoor |
| author_sort | Seyed Mohammad Ashrafi |
| collection | DOAJ |
| description | The water crisis in different countries of the world has made the earth undergo tremendous changes compared to the past years. Therefore, it is very necessary to have intelligent systems that can help managers make correct and optimal decisions in various possible conditions. In recent years, the biggest challenge faced by water resource managers in the Karun Basin in Iran has been the decline in the quality of surface waters in the downstream areas of the basin. In this research, a surrogate-based model has been developed for predicting and controlling the quantity and quality of water in different parts of the basin. As a decision support system, this model can evaluate the quantity of water at different points in the basin and also predict its quality in various probable conditions. This model will also be used to extract optimal operating policies with the aim of satisfying quality constraints in different conditions. The model can help decision makers in the optimal management of the system and also greatly reduce the losses caused by quality issues in possible future situations. |
| first_indexed | 2024-03-09T18:28:31Z |
| format | Article |
| id | doaj.art-9a07dc20193a4606a1650ca4f672b704 |
| institution | Directory Open Access Journal |
| issn | 2345-413X 2345-4156 |
| language | English |
| last_indexed | 2024-03-09T18:28:31Z |
| publishDate | 2020-03-01 |
| publisher | Shahid Chamran University of Ahvaz |
| record_format | Article |
| series | Journal of Hydraulic Structures |
| spelling | doaj.art-9a07dc20193a4606a1650ca4f672b7042023-11-24T07:43:15ZengShahid Chamran University of AhvazJournal of Hydraulic Structures2345-413X2345-41562020-03-0161778910.22055/jhs.2020.32755.113515464A Conceptual Framework of a Surrogate-based Quality-Quantity Decision Support System (Q2DSS) for Water Resources SystemsSeyed Mohammad Ashrafi0Tayebeh Moradpoor1Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.The water crisis in different countries of the world has made the earth undergo tremendous changes compared to the past years. Therefore, it is very necessary to have intelligent systems that can help managers make correct and optimal decisions in various possible conditions. In recent years, the biggest challenge faced by water resource managers in the Karun Basin in Iran has been the decline in the quality of surface waters in the downstream areas of the basin. In this research, a surrogate-based model has been developed for predicting and controlling the quantity and quality of water in different parts of the basin. As a decision support system, this model can evaluate the quantity of water at different points in the basin and also predict its quality in various probable conditions. This model will also be used to extract optimal operating policies with the aim of satisfying quality constraints in different conditions. The model can help decision makers in the optimal management of the system and also greatly reduce the losses caused by quality issues in possible future situations.https://jhs.scu.ac.ir/article_15464_382d07c0c7b112edea22619167a3e9d0.pdfquality managementsurrogatewater resourcesintelligent computational modelling |
| spellingShingle | Seyed Mohammad Ashrafi Tayebeh Moradpoor A Conceptual Framework of a Surrogate-based Quality-Quantity Decision Support System (Q2DSS) for Water Resources Systems Journal of Hydraulic Structures quality management surrogate water resources intelligent computational modelling |
| title | A Conceptual Framework of a Surrogate-based Quality-Quantity Decision Support System (Q2DSS) for Water Resources Systems |
| title_full | A Conceptual Framework of a Surrogate-based Quality-Quantity Decision Support System (Q2DSS) for Water Resources Systems |
| title_fullStr | A Conceptual Framework of a Surrogate-based Quality-Quantity Decision Support System (Q2DSS) for Water Resources Systems |
| title_full_unstemmed | A Conceptual Framework of a Surrogate-based Quality-Quantity Decision Support System (Q2DSS) for Water Resources Systems |
| title_short | A Conceptual Framework of a Surrogate-based Quality-Quantity Decision Support System (Q2DSS) for Water Resources Systems |
| title_sort | conceptual framework of a surrogate based quality quantity decision support system q2dss for water resources systems |
| topic | quality management surrogate water resources intelligent computational modelling |
| url | https://jhs.scu.ac.ir/article_15464_382d07c0c7b112edea22619167a3e9d0.pdf |
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