The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges

Detalhes bibliográficos
Autor(a) principal: Patrícia Ramos
Data de Publicação: 2003
Outros Autores: Mário Neves, Fernando L. Pereira, Carla Barreto
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/71624
Resumo: Near field model predictions can be used to reduce the uncertainty about the location of an outfall sewage plume during a monitoring mission. In this paper we present an innovative methodology that uses these models to predict the plume location, establishing a sensing strategy applicable to a monitoring mission using an AUV. The paper describes two applications of this methodology, accomplishing the automatic mission definition using real-time oceanographic data. An AUV monitoring mission was conducted to detect and map the Aveiro outfall plume, making use of these applications to specify an efficient sampling strategy.
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spelling The use of mathematical models and autonomous underwater vehicles to monitor effluent dischargesCiências Tecnológicas, Engenharia electrotécnica, electrónica e informáticaTechnological sciences, Electrical engineering, Electronic engineering, Information engineeringNear field model predictions can be used to reduce the uncertainty about the location of an outfall sewage plume during a monitoring mission. In this paper we present an innovative methodology that uses these models to predict the plume location, establishing a sensing strategy applicable to a monitoring mission using an AUV. The paper describes two applications of this methodology, accomplishing the automatic mission definition using real-time oceanographic data. An AUV monitoring mission was conducted to detect and map the Aveiro outfall plume, making use of these applications to specify an efficient sampling strategy.20032003-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/71624engPatrícia RamosMário NevesFernando L. PereiraCarla Barretoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:31:23Zoai:repositorio-aberto.up.pt:10216/71624Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:25:35.974767Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges
title The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges
spellingShingle The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges
Patrícia Ramos
Ciências Tecnológicas, Engenharia electrotécnica, electrónica e informática
Technological sciences, Electrical engineering, Electronic engineering, Information engineering
title_short The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges
title_full The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges
title_fullStr The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges
title_full_unstemmed The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges
title_sort The use of mathematical models and autonomous underwater vehicles to monitor effluent discharges
author Patrícia Ramos
author_facet Patrícia Ramos
Mário Neves
Fernando L. Pereira
Carla Barreto
author_role author
author2 Mário Neves
Fernando L. Pereira
Carla Barreto
author2_role author
author
author
dc.contributor.author.fl_str_mv Patrícia Ramos
Mário Neves
Fernando L. Pereira
Carla Barreto
dc.subject.por.fl_str_mv Ciências Tecnológicas, Engenharia electrotécnica, electrónica e informática
Technological sciences, Electrical engineering, Electronic engineering, Information engineering
topic Ciências Tecnológicas, Engenharia electrotécnica, electrónica e informática
Technological sciences, Electrical engineering, Electronic engineering, Information engineering
description Near field model predictions can be used to reduce the uncertainty about the location of an outfall sewage plume during a monitoring mission. In this paper we present an innovative methodology that uses these models to predict the plume location, establishing a sensing strategy applicable to a monitoring mission using an AUV. The paper describes two applications of this methodology, accomplishing the automatic mission definition using real-time oceanographic data. An AUV monitoring mission was conducted to detect and map the Aveiro outfall plume, making use of these applications to specify an efficient sampling strategy.
publishDate 2003
dc.date.none.fl_str_mv 2003
2003-01-01T00:00:00Z
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/71624
url https://hdl.handle.net/10216/71624
dc.language.iso.fl_str_mv eng
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