Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing

Detalhes bibliográficos
Autor(a) principal: Chebbi, Afef
Data de Publicação: 2017
Outros Autores: Kebaili Bargaoui, Zoubeida, Abid, Nesrine, Cunha, Maria da Conceição
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/46695
https://doi.org/10.1016/j.jhydrol.2017.10.076
Resumo: The authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository 12 months after publication
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spelling Optimization of a hydrometric network extension using specific flow, kriging and simulated annealingHydrological gauging stationsNetwork optimizationGeo-regressionOrdinary krigingSimulated annealingThe authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository 12 months after publicationIn hydrometric stations, water levels are continuously observed and discharge rating curves are constantly updated to achieve accurate river levels and discharge observations. An adequate spatial distribution of hydrological gauging stations presents a lot of interest in linkage with the river regime characterization, water infrastructures design, water resources management and ecological survey. Due to the increase of riverside population and the associated flood risk, hydrological networks constantly need to be developed. This paper suggests taking advantage of kriging approaches to improve the design of a hydrometric network. The context deals with the application of an optimization approach using ordinary kriging and simulated annealing (SA) in order to identify the best locations to install new hydrometric gauges. The task at hand is to extend an existing hydrometric network in order to estimate, at ungauged sites, the average specific annual discharge which is a key basin descriptor. This methodology is developed for the hydrometric network of the transboundary Medjerda River in the North of Tunisia. A Geographic Information System (GIS) is adopted to delineate basin limits and centroids. The latter are adopted to assign the location of basins in kriging development. Scenarios where the size of an existing 12 stations network is alternatively increased by 1, 2, 3, 4 and 5 new station(s) are investigated using geo-regression and minimization of the variance of kriging errors. The analysis of the optimized locations from a scenario to another shows a perfect conformity with respect to the location of the new sites. The new locations insure a better spatial coverage of the study area as seen with the increase of both the average and the maximum of inter-station distances after optimization. The optimization procedure selects the basins that insure the shifting of the mean drainage area towards higher specific discharges.Elsevier2017-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/46695http://hdl.handle.net/10316/46695https://doi.org/10.1016/j.jhydrol.2017.10.076eng0022-1694https://www.sciencedirect.com/science/article/pii/S0022169417307527Chebbi, AfefKebaili Bargaoui, ZoubeidaAbid, NesrineCunha, Maria da Conceiçãoinfo: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:RCAAP2021-07-20T08:27:52Zoai:estudogeral.uc.pt:10316/46695Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:18.768347Repositório 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 Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing
title Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing
spellingShingle Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing
Chebbi, Afef
Hydrological gauging stations
Network optimization
Geo-regression
Ordinary kriging
Simulated annealing
title_short Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing
title_full Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing
title_fullStr Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing
title_full_unstemmed Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing
title_sort Optimization of a hydrometric network extension using specific flow, kriging and simulated annealing
author Chebbi, Afef
author_facet Chebbi, Afef
Kebaili Bargaoui, Zoubeida
Abid, Nesrine
Cunha, Maria da Conceição
author_role author
author2 Kebaili Bargaoui, Zoubeida
Abid, Nesrine
Cunha, Maria da Conceição
author2_role author
author
author
dc.contributor.author.fl_str_mv Chebbi, Afef
Kebaili Bargaoui, Zoubeida
Abid, Nesrine
Cunha, Maria da Conceição
dc.subject.por.fl_str_mv Hydrological gauging stations
Network optimization
Geo-regression
Ordinary kriging
Simulated annealing
topic Hydrological gauging stations
Network optimization
Geo-regression
Ordinary kriging
Simulated annealing
description The authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository 12 months after publication
publishDate 2017
dc.date.none.fl_str_mv 2017-12
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/10316/46695
http://hdl.handle.net/10316/46695
https://doi.org/10.1016/j.jhydrol.2017.10.076
url http://hdl.handle.net/10316/46695
https://doi.org/10.1016/j.jhydrol.2017.10.076
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0022-1694
https://www.sciencedirect.com/science/article/pii/S0022169417307527
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
repository.mail.fl_str_mv
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