Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region
To alleviate the impacts of water shortages and ensure the effective allocation of water resources, the integration of multiple sources has been a viable but challenging alternative for water resource managers. A robust decision support system (DSS) reduces the complexity of decision making and allo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/2/223 |
| _version_ | 1797436419194486784 |
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| author | Júlia Daniele Silva de Souza José Almir Cirilo Saulo de Tarso Marques Bezerra Gabriel Araújo de Oliveira Guilherme Duarte Freire Artur Paiva Coutinho Jaime Joaquim da Silva Pereira Cabral |
| author_facet | Júlia Daniele Silva de Souza José Almir Cirilo Saulo de Tarso Marques Bezerra Gabriel Araújo de Oliveira Guilherme Duarte Freire Artur Paiva Coutinho Jaime Joaquim da Silva Pereira Cabral |
| author_sort | Júlia Daniele Silva de Souza |
| collection | DOAJ |
| description | To alleviate the impacts of water shortages and ensure the effective allocation of water resources, the integration of multiple sources has been a viable but challenging alternative for water resource managers. A robust decision support system (DSS) reduces the complexity of decision making and allows the user to define operational strategies that reduce costs and address system limitations. Through the Particle Swarm Optimization (PSO) collective intelligence algorithm and the operational zoning of reservoirs, it was possible to identify the monthly flow allocation for the Agreste of Pernambuco in Brazil. The analysis of unit costs allowed us to conclude that high local energy tariffs guide the DSS in the exploration of water-transfer works between basins, such as the Agreste pipeline, which had full use of approximately 2 m<sup>3</sup>/s in the analyzed scenarios. The study also sought to investigate the influence of rainy and dry periods, with the higher flows into local reservoirs in rainy periods leading the system to operate at a cost 2.6% higher compared to the dry period. The use of DSS was able to provide support and parameters that facilitate decision making, ensuring that the system operates efficiently and sustainably. |
| first_indexed | 2024-03-09T11:01:24Z |
| format | Article |
| id | doaj.art-a259df9cd465422896db3d6177991e8e |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T11:01:24Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-a259df9cd465422896db3d6177991e8e2023-12-01T01:14:32ZengMDPI AGWater2073-44412023-01-0115222310.3390/w15020223Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid RegionJúlia Daniele Silva de Souza0José Almir Cirilo1Saulo de Tarso Marques Bezerra2Gabriel Araújo de Oliveira3Guilherme Duarte Freire4Artur Paiva Coutinho5Jaime Joaquim da Silva Pereira Cabral6Postgraduation Program in Civil and Environmental Engineering, Agreste Campus, Federal University of Pernambuco (UFPE), Caruaru 55002-917, BrazilDepartment of Technology, Agreste Campus, Federal University of Pernambuco (UFPE), Caruaru 55002-917, BrazilDepartment of Technology, Agreste Campus, Federal University of Pernambuco (UFPE), Caruaru 55002-917, BrazilLaboratory of Geoprocessing, Agreste Campus, Federal University of Pernambuco (UFPE), Caruaru 55002-917, BrazilPernambuco Sanitation Company (COMPESA), Recife 50040-000, BrazilDepartment of Technology, Agreste Campus, Federal University of Pernambuco (UFPE), Caruaru 55002-917, BrazilDepartment of Civil Engineering, Polytechnic School, University of Pernambuco (UPE), Recife 50720-001, BrazilTo alleviate the impacts of water shortages and ensure the effective allocation of water resources, the integration of multiple sources has been a viable but challenging alternative for water resource managers. A robust decision support system (DSS) reduces the complexity of decision making and allows the user to define operational strategies that reduce costs and address system limitations. Through the Particle Swarm Optimization (PSO) collective intelligence algorithm and the operational zoning of reservoirs, it was possible to identify the monthly flow allocation for the Agreste of Pernambuco in Brazil. The analysis of unit costs allowed us to conclude that high local energy tariffs guide the DSS in the exploration of water-transfer works between basins, such as the Agreste pipeline, which had full use of approximately 2 m<sup>3</sup>/s in the analyzed scenarios. The study also sought to investigate the influence of rainy and dry periods, with the higher flows into local reservoirs in rainy periods leading the system to operate at a cost 2.6% higher compared to the dry period. The use of DSS was able to provide support and parameters that facilitate decision making, ensuring that the system operates efficiently and sustainably.https://www.mdpi.com/2073-4441/15/2/223decision support system (DSS)particle swarm optimization (PSO)multiple supply systemssemiarid |
| spellingShingle | Júlia Daniele Silva de Souza José Almir Cirilo Saulo de Tarso Marques Bezerra Gabriel Araújo de Oliveira Guilherme Duarte Freire Artur Paiva Coutinho Jaime Joaquim da Silva Pereira Cabral Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region Water decision support system (DSS) particle swarm optimization (PSO) multiple supply systems semiarid |
| title | Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region |
| title_full | Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region |
| title_fullStr | Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region |
| title_full_unstemmed | Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region |
| title_short | Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region |
| title_sort | decision support system for the integrated management of multiple supply systems in the brazilian semiarid region |
| topic | decision support system (DSS) particle swarm optimization (PSO) multiple supply systems semiarid |
| url | https://www.mdpi.com/2073-4441/15/2/223 |
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