Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/3466
Título: Geostatistical Prediction of Ocean Outfall Plume Characteristics Based on an Autonomous Underwater Vehicle
Autor: Ramos, Patrícia
Palavras-chave: Autonomous underwater vehicles
ordinary and universal block kriging
dilution estimation
environmental risk assessment
Data: 2013
Editora: InTech
Citação: Patrícia Alexandra Gregório Ramos. Geostatistical Prediction of Ocean Outfall Plume Characteristics Based on an Autonomous Underwater Vehicle. Int J Adv Robot Syst, 2013, 10:289. doi: 10.5772/56644
Relatório da Série N.º: 289;
Resumo: Geostatistics has been successfully used to analyze and characterize the spatial variability of environmental properties. Besides giving estimated values at unsampled locations, it provides a measure of the accuracy of the estimate, which is a significant advantage over traditional methods used to assess pollution. In this work universal block kriging is novelty used to model and map the spatial distribution of salinity measurements gathered by an Autonomous Underwater Vehicle in a sea outfall monitoring campaign, with the aim of distinguishing the effluent plume from the receiving waters, characterizing its spatial variability in the vicinity of the discharge and estimating dilution. The results demonstrate that geostatistical methodology can provide good estimates of the dispersion of effluents that are very valuable in assessing the environmental impact and managing sea outfalls. Moreover, since accurate measurements of the plume’s dilution are rare, these studies might be very helpful in the future to validate dispersion models.
Peer review: yes
URI: http://hdl.handle.net/10400.22/3466
ISSN: 1729-8806
Versão do Editor: http://www.intechopen.com/journals/international_journal_of_advanced_robotic_systems
Aparece nas colecções:ISCAP - Matemática - Artigos

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