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Beskow, Samuel, de Mello, Carlos Rogério, Vargas, Marcelle M., Corrêa, Leonardo de L., Caldeira, Tamara L., Durães, Matheus F., de Aguiar, Marilton S. (2016) Artificial intelligence techniques coupled with seasonality measures for hydrological regionalization of Q90 under Brazilian conditions. Journal of Hydrology, 541. 1406-1419 doi:10.1016/j.jhydrol.2016.08.046

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Reference TypeJournal (article/letter/editorial)
TitleArtificial intelligence techniques coupled with seasonality measures for hydrological regionalization of Q90 under Brazilian conditions
JournalJournal of Hydrology
AuthorsBeskow, SamuelAuthor
de Mello, Carlos RogérioAuthor
Vargas, Marcelle M.Author
Corrêa, Leonardo de L.Author
Caldeira, Tamara L.Author
Durães, Matheus F.Author
de Aguiar, Marilton S.Author
Year2016 (October)Volume541
PublisherElsevier BV
DOIdoi:10.1016/j.jhydrol.2016.08.046Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID7244543Long-form Identifiermindat:1:5:7244543:5
GUID0
Full ReferenceBeskow, Samuel, de Mello, Carlos Rogério, Vargas, Marcelle M., Corrêa, Leonardo de L., Caldeira, Tamara L., Durães, Matheus F., de Aguiar, Marilton S. (2016) Artificial intelligence techniques coupled with seasonality measures for hydrological regionalization of Q90 under Brazilian conditions. Journal of Hydrology, 541. 1406-1419 doi:10.1016/j.jhydrol.2016.08.046
Plain TextBeskow, Samuel, de Mello, Carlos Rogério, Vargas, Marcelle M., Corrêa, Leonardo de L., Caldeira, Tamara L., Durães, Matheus F., de Aguiar, Marilton S. (2016) Artificial intelligence techniques coupled with seasonality measures for hydrological regionalization of Q90 under Brazilian conditions. Journal of Hydrology, 541. 1406-1419 doi:10.1016/j.jhydrol.2016.08.046
In(2016) Journal of Hydrology Vol. 541. Elsevier BV

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