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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3E7US3J
Repositorydpi.inpe.br/plutao/2013/05.31.19.37.55   (restricted access)
Last Update2015:03.13.16.01.41 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2013/05.31.19.37.56
Metadata Last Update2018:06.04.23.39.10 (UTC) administrator
DOI10.1080/17415977.2012.712530
ISSN1741-5977
1741-5985
Labellattes: 5142426481528206 2 AraújoCampGome:2013:CaHyMo
Citation KeyAraújoCampGome:2013:CaHyMo
TitleCalibrating an hydrological model by an evolutionary strategy for multi-objective optimization
Year2013
Access Date2024, May 17
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size753 KiB
2. Context
Author1 Araújo, Amarísio da Silva
2 Campos Velho, Haroldo Fraga de
3 Gomes, Vitor Conrado Faria
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC3
Group1 CAP-COMP-SPG-INPE-MCTI-GOV-BR
2 LAC-CTE-INPE-MCTI-GOV-BR
3 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2 haroldo@lac.inpe.br
e-Mail Addressharoldo@lac.inpe.br
JournalInverse Problems in Science and Engineering
Volume21
Number3
Pages438-450
History (UTC)2013-05-31 19:37:56 :: lattes -> administrator ::
2018-06-04 23:39:10 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsHydrological model calibration
Epidemic genetic algorithm
Multi-objective approach
AbstractHydrologic models simulate the river flow from the contributing basin for a given river. For the simulation process, the integration domain is discretized into computational cells. The inputs for such models are precipitation ratio and the initial flow. There are many parameters to be determined for an operational model, including the type of soil (porosity field, water flux between the bottom of the river and the water layer, among others). The process to identify the best numerical values for such parameters is the calibration procedure, belonging to the class of inverse problems for parameter determination. However, there is no unique set of parameters for representing the hydrology cycle. A multi-objective approach is employed to address the problem. The Pareto set is calculated for the IPH2 model by an epidemic genetic algorithm.
AreaCOMP
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doc Directory Contentaccess
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4. Conditions of access and use
Languageen
User Grouplattes
marcelo.pazos@inpe.br
Reader Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F2PHGS
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 4
sid.inpe.br/bibdigital/2013/09.22.23.14 2
URL (untrusted data)http://www.tandfonline.com/doi/abs/10.1080/17415977.2012.712530?journalCode=gipe20#preview
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesInformações Adicionais: Version of record first published: 09 Nov 2012.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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