Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/1149
Título: A new method for groundwater plume detection under uncertainty
Autor: Nunes, Luís Miguel
Cunha, Maria da Conceição
Ribeiro, Luís
Azevedo, João
Palavras-chave: Groundwater
Data: 2007
Editora: International Association of Hydrological Sciences
Relatório da Série N.º: IAHS Publication 310;
Resumo: Groundwater contamination plumes characterization is a very hard task to perform, requiring usually a large number of sampling sites. In this article a method to optimize a monitoring network for plume detection and delimitation is proposed. It is assumed that a prior extensive sampling campaign was made, and only a few sampling sites must be included in the optimal monitoring network. The objective function incorporates the prior knowledge about concentration variability, in the form of its density function, and also a measure of spatial coverage (space-filling method), in order to best distribute the stations over the field. The method was applied to a synthetic case-study with 160 sampling locations, and a final optimal monitoring network with 40 stations was obtained. Simulated annealing optimization algorithm was used to solve this very difficult combinatorial problem, which has more than 8,6x1037 possible solutions).
Peer review: yes
URI: http://hdl.handle.net/10400.1/1149
ISBN: 1978-1-901502-88-6
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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