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Computational method for prediction enhancement of a river flood simulation

Authors
Gaudiani, Adriana (Universidad Nacional de La Plata)
Search for Adriana Gaudiani in Research Programmes Information System
Luque, Emilio (Universidad Autonoma de Barcelona)
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Garcia, Pablo (Instituto Nacional del Agua)
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Re, Mariano (Instituto Nacional del Agua)
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Naiouf, Marcelo (Universidad Nacional de La Plata)
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De Giusti, Armando (Universidad Nacional de La Plata)
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Chapter Water management
Volume Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
Conference EnviroInfo 2014 - ICT for Energy Effieciency
Oldenburg, 2014
Year 2014
Abstract of the Article
The occurrence of flood events has become more frequent in many parts of the world over the past
30 years and, consequently, more people are exposed to flood damages. Modeling and
computational simulation provide powerful tools which enable us to forecast, in order to reduce
flood damages. This work is oriented to address input parameter uncertainty toward providing a
methodology to tune the flood simulator and so achieve lower errors between simulated and
observed results. Even a much reduced parameter set is considered to run the flood simulator, the
search space is large. The results obtained by using a parametric simulation heuristic and a
clustering technique are promising and a reduction of the search space was achieved, consequently
we could reduce the computational cost of the search for the best scenario and the optimization
scheme implemented enables us to get a better understanding of the problem.
Pages 325 - 332
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