Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks

Detalhes bibliográficos
Autor(a) principal: Nunes, L. M.
Data de Publicação: 2004
Outros Autores: Cunha, M. C., Ribeiro, L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/7623
https://doi.org/10.1023/B:EMAS.0000016795.91968.13
Resumo: A method to determine the optimal subset of stations from a reference level groundwater monitoring network is proposed. The method considers the redundancy of data from historical time series, the times associated with the total distance required to run through the entire monitoring network, and the sum of the times for each monitoring station. The method was applied to a hypothetical case-study consisting of a monitoring network with 32 stations. Cost-benefit analysis was performed to determine the number of stations to include in the new design versus loss of information. This optimisation problem was solved with simulated annealing. Results showed that the relative reduction in exploration costs more than compensates for the relative loss in data representativeness.
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spelling Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring NetworksA method to determine the optimal subset of stations from a reference level groundwater monitoring network is proposed. The method considers the redundancy of data from historical time series, the times associated with the total distance required to run through the entire monitoring network, and the sum of the times for each monitoring station. The method was applied to a hypothetical case-study consisting of a monitoring network with 32 stations. Cost-benefit analysis was performed to determine the number of stations to include in the new design versus loss of information. This optimisation problem was solved with simulated annealing. Results showed that the relative reduction in exploration costs more than compensates for the relative loss in data representativeness.2004info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/7623http://hdl.handle.net/10316/7623https://doi.org/10.1023/B:EMAS.0000016795.91968.13engEnvironmental Monitoring and Assessment. 93:1 (2004) 103-124Nunes, L. M.Cunha, M. C.Ribeiro, L.info: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:RCAAP2020-05-29T09:42:16Zoai:estudogeral.uc.pt:10316/7623Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:13.003197Repositório 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 Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks
title Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks
spellingShingle Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks
Nunes, L. M.
title_short Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks
title_full Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks
title_fullStr Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks
title_full_unstemmed Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks
title_sort Optimal Space-time Coverage and Exploration Costs in Groundwater Monitoring Networks
author Nunes, L. M.
author_facet Nunes, L. M.
Cunha, M. C.
Ribeiro, L.
author_role author
author2 Cunha, M. C.
Ribeiro, L.
author2_role author
author
dc.contributor.author.fl_str_mv Nunes, L. M.
Cunha, M. C.
Ribeiro, L.
description A method to determine the optimal subset of stations from a reference level groundwater monitoring network is proposed. The method considers the redundancy of data from historical time series, the times associated with the total distance required to run through the entire monitoring network, and the sum of the times for each monitoring station. The method was applied to a hypothetical case-study consisting of a monitoring network with 32 stations. Cost-benefit analysis was performed to determine the number of stations to include in the new design versus loss of information. This optimisation problem was solved with simulated annealing. Results showed that the relative reduction in exploration costs more than compensates for the relative loss in data representativeness.
publishDate 2004
dc.date.none.fl_str_mv 2004
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/7623
http://hdl.handle.net/10316/7623
https://doi.org/10.1023/B:EMAS.0000016795.91968.13
url http://hdl.handle.net/10316/7623
https://doi.org/10.1023/B:EMAS.0000016795.91968.13
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Environmental Monitoring and Assessment. 93:1 (2004) 103-124
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