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Advisor(s)
Abstract(s)
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).
Description
Keywords
Groundwater Monitoring
Citation
Publisher
International Association of Hydrological Sciences