Integration, participation and optimal control in water resources planning and management
Water resource systems provide a challenging testing ground for System Analysis and Optimal Control Theory. The intrinsic complexity of the physical system, which is highly non-linear and affected by strong uncertainty, intermingles with the value-laden socio-economic context in which decisions on t...
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| Veröffentlicht in: | Applied mathematics and computation Jg. 206; H. 1; S. 21 - 33 |
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01.12.2008
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| Abstract | Water resource systems provide a challenging testing ground for System Analysis and Optimal Control Theory. The intrinsic complexity of the physical system, which is highly non-linear and affected by strong uncertainty, intermingles with the value-laden socio-economic context in which decisions on the systems have to be taken. Mathematical models and algorithms have to be re-considered within a methodological framework, in which stakeholder participation and cross-disciplinary approaches are given a central role. In this paper the Integrated and Participatory Planning (PIP) procedure developed by the authors is presented as a potential methodological approach to the effective and efficient planning and management of water systems. Great emphasis is given to the way to combine traditional control techniques with preference and subjective aspects of decision-making. The key role of Multi-Objective Decision Support Systems (MODSS) is also stressed as a way of bridging the gap between theory and practice. |
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| AbstractList | Water resource systems provide a challenging testing ground for System Analysis and Optimal Control Theory. The intrinsic complexity of the physical system, which is highly non-linear and affected by strong uncertainty, intermingles with the value-laden socio-economic context in which decisions on the systems have to be taken. Mathematical models and algorithms have to be re-considered within a methodological framework, in which stakeholder participation and cross-disciplinary approaches are given a central role. In this paper the Integrated and Participatory Planning (PIP) procedure developed by the authors is presented as a potential methodological approach to the effective and efficient planning and management of water systems. Great emphasis is given to the way to combine traditional control techniques with preference and subjective aspects of decision-making. The key role of Multi-Objective Decision Support Systems (MODSS) is also stressed as a way of bridging the gap between theory and practice. |
| Author | Castelletti, Andrea Soncini-Sessa, Rodolfo Pianosi, Francesca |
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| Cites_doi | 10.1287/opre.20.2.318 10.1029/WR018i004p00673 10.1007/BF00940588 10.1061/(ASCE)0733-9496(2000)126:2(48) 10.1613/jair.301 10.1007/978-3-642-76048-8_24 10.1029/98WR02368 10.1061/(ASCE)0733-9496(2000)126:2(57) 10.1007/BF00992698 10.1029/WR021i012p01797 10.1061/(ASCE)0733-9496(1994)120:1(101) 10.1061/(ASCE)0733-9496(2005)131:3(172) 10.1007/BF00939673 10.1061/(ASCE)0733-9496(1991)117:5(566) 10.1029/93WR01494 10.1016/j.envsoft.2005.07.013 10.1016/j.envsoft.2006.06.003 10.1080/02626669909492257 10.1016/S1364-8152(98)00011-5 10.1177/003754977502400606 |
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| Keywords | Multi-objective optimization Water resources management Decision support system Stochastic optimal control Adaptive control Integration Decision making Control system Optimization method Systems theory Algorithm Numerical analysis Applied mathematics Optimal control Control theory Mathematical model System analysis Mathematical programming |
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| References_xml | – reference: R. Soncini-Sessa, A. Nardini, C. Gandolfi, A. Kraszewski, Computer aided water reservoir management: a prototype two level DSS, in: Proceedings of the NATO ARW on Computer Aided Support Systems in Water Resources Research and Management, September 23–28, 1990, Ericeira, P. – volume: 21 start-page: 1797 year: 1985 end-page: 1818 ident: bib36 article-title: Reservoir management and operations models: a state of the art review publication-title: Water Resources Research – volume: 20 start-page: 318 year: 1972 end-page: 326 ident: bib32 article-title: Generalization of Whites method of successive approximations publication-title: Operations Research – reference: A. Aufiero, R. Soncini-Sessa, E. 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