Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/590
Título: Geostatistical Mapping of Outfall Plume Dispersion Data gathered with an autonomous underwater vehicle
Autor: Ramos, Patrícia Alexandra Gregório
Monego, M.
Neves, M. V.
Palavras-chave: Outfalls
Autonomous underwater vehicles
Plumes dispersion
Ordinary kriging
Data: 2008
Editora: Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do Porto
Resumo: The main purpose of this study was to examine the applicability of geostatistical modeling to obtain valuable information for assessing the environmental impact of sewage outfall discharges. The data set used was obtained in a monitoring campaign to S. Jacinto outfall, located off the Portuguese west coast near Aveiro region, using an AUV. The Matheron’s classical estimator was used the compute the experimental semivariogram which was fitted to three theoretical models: spherical, exponential and gaussian. The cross-validation procedure suggested the best semivariogram model and ordinary kriging was used to obtain the predictions of salinity at unknown locations. The generated map shows clearly the plume dispersion in the studied area, indicating that the effluent does not reach the near by beaches. Our study suggests that an optimal design for the AUV sampling trajectory from a geostatistical prediction point of view, can help to compute more precise predictions and hence to quantify more accurately dilution. Moreover, since accurate measurements of plume’s dilution are rare, these studies might be very helpful in the future for validation of dispersion models.
URI: http://hdl.handle.net/10400.22/590
Aparece nas colecções:ISCAP - Matemática - Comunicações em eventos científicos

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