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DC Field | Value | Language |
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dc.contributor.author | Sechi, Giovanni M. | - |
dc.contributor.author | Zuddas, Paola | - |
dc.date.accessioned | 2019-11-19T11:00:05Z | - |
dc.date.available | 2019-11-19T11:00:05Z | - |
dc.date.issued | 2000 | - |
dc.identifier.uri | http://117.252.14.250:8080/jspui/handle/123456789/3864 | - |
dc.description.abstract | In this paper we present a methodology to perform water system optimization under climatic and hydrological uncertainty, in order to reach a sufficient degree of systems reliability to determine the risk of significant water deficiencies. Different generation techniques are compared to set up and analyze a number of scenarios. Uncertainty is modeled by a scenario-tree in a multistage environment, which includes different possible configurations of inflows in a wide time-horizon. The mathematical model structure representing the multiperiod optimization stochastic problem allows to handle a huge number of variables and constraints. The solutions of the optimization process on the scenario-tree are post-processed in order to reach a “robust” solution. The aim is to identify trends and essential features on which to base a robust decision policy | en_US |
dc.language.iso | en | en_US |
dc.publisher | National Institute of Hydrology | en_US |
dc.title | Theme 5-1-Scenario analysis in water resources systems optimization under uncertainty conditions | en_US |
dc.type | Technical Report | en_US |
Appears in Collections: | ICIWRM-2000, Proceedings of International Conference on Integrated Water Resources Management for Sustainable Development, 19-21 December, 2000, New Delhi, India Vol.-II |
Files in This Item:
File | Description | Size | Format | |
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Theme 5-1-Scenario analysis in water resources systems optimization under uncertainty conditions.pdf | 175.18 kB | Adobe PDF | View/Open |
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