Streamflow estimation in ungauged catchments in Brazil using machine learning approaches
dc.contributor.author | Fontana, Rafael Barbedo | pt_BR |
dc.contributor.author | Sorribas, Mino Viana | pt_BR |
dc.contributor.author | Collischonn, Walter | pt_BR |
dc.date.accessioned | 2023-07-04T03:51:07Z | pt_BR |
dc.date.issued | 2023 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/259933 | pt_BR |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | European Geoscience Union. General Assembly (2023 : Vienna : On-line). [Programme]. [Göttingen : Copernicus, 2023] | pt_BR |
dc.rights | Open Access | en |
dc.subject | Escoamento : Simulacao | pt_BR |
dc.subject | Bacias hidrográficas | pt_BR |
dc.subject | Dados escassos | pt_BR |
dc.subject | Aprendizado de máquina | pt_BR |
dc.title | Streamflow estimation in ungauged catchments in Brazil using machine learning approaches | pt_BR |
dc.type | Resumo publicado em evento | pt_BR |
dc.contributor.event | European Geoscience Union. General Assembly. (2023 : Vienna : On-line) | pt_BR |
dc.identifier.nrb | 001169183 | pt_BR |
dc.type.origin | Estrangeiro | pt_BR |
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Engineering (3987)