Optimal space-time coverage and exploration costs in groundwater monitoring networks
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/11138 |
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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Optimal space-time coverage and exploration costs in groundwater monitoring networksTraveling salesman problemsAreal rainfall estimationOptimal sampling schemesWaste management sitesAquifer remediationEngineering designRegionalized variablesRegulatory policyOptimal selectionLocal estimationA 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.SpringerSapientiaNunes, LMCunha, MCRibeiro, L2018-12-07T14:52:38Z2004-052004-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11138eng0167-636910.1023/B:EMAS.0000016795.91968.13info: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:RCAAP2023-07-24T10:22:53Zoai:sapientia.ualg.pt:10400.1/11138Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:02:39.535299Repositório 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, LM Traveling salesman problems Areal rainfall estimation Optimal sampling schemes Waste management sites Aquifer remediation Engineering design Regionalized variables Regulatory policy Optimal selection Local estimation |
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, LM |
author_facet |
Nunes, LM Cunha, MC Ribeiro, L |
author_role |
author |
author2 |
Cunha, MC Ribeiro, L |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Nunes, LM Cunha, MC Ribeiro, L |
dc.subject.por.fl_str_mv |
Traveling salesman problems Areal rainfall estimation Optimal sampling schemes Waste management sites Aquifer remediation Engineering design Regionalized variables Regulatory policy Optimal selection Local estimation |
topic |
Traveling salesman problems Areal rainfall estimation Optimal sampling schemes Waste management sites Aquifer remediation Engineering design Regionalized variables Regulatory policy Optimal selection Local estimation |
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 |
2004-05 2004-05-01T00:00:00Z 2018-12-07T14:52:38Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/11138 |
url |
http://hdl.handle.net/10400.1/11138 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0167-6369 10.1023/B:EMAS.0000016795.91968.13 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133260856426496 |