{"id":{"repo_id":"brazil-uerj","oai_identifier":"oai:pantheon.ufrj.br:11422/3263"},"canonical_url":"https://search.dev.ndltd.org/etd/brazil-uerj/oai:pantheon.ufrj.br:11422/3263","repository":{"repo_id":"brazil-uerj","name":"Brazil UERJ","base_url":"https://pantheon.ufrj.br/oai/request"},"display":{"title":"Cheias: análise de frequências e regionalização de quantis","abstract":"The main purpose within this work is to selecting a mehod that best estimate future flood flow frequencies. By the way, many probability distributions, usually applied in flood frequency analysis, combined with differents parameters estimation methods have been considered. ln order to evaluate the goodness of fit of the functions to the data, the Chi-Square, Kolmogorov-Smirnov and some split-record testing have been used. A multiple-regression model and the Wakeby distribution have been also used to regionalize the quantiles for some return periods, to establish a flood frequency curve at sites where no streamflow observations have been taken and to improve the individual site estimates. The variables used were the annual maximum of daily peak, daily mean discharge, and the 3-day, 7-day, and 15-day volumes. The methodology was applied to some streamflow stations in the Southeastern and Southern regions of Brazil.","abstract_html":"The main purpose within this work is to selecting a mehod that best estimate future flood flow frequencies. By the way, many probability distributions, usually applied in flood frequency analysis, combined with differents parameters estimation methods have been considered. ln order to evaluate the goodness of fit of the functions to the data, the Chi-Square, Kolmogorov-Smirnov and some split-record testing have been used. A multiple-regression model and the Wakeby distribution have been also used to regionalize the quantiles for some return periods, to establish a flood frequency curve at sites where no streamflow observations have been taken and to improve the individual site estimates. The variables used were the annual maximum of daily peak, daily mean discharge, and the 3-day, 7-day, and 15-day volumes. The methodology was applied to some streamflow stations in the Southeastern and Southern regions of Brazil.","abstract_has_math":false,"creators":["Pinheiro, Mário Cicarelli"],"institution":"Universidade Federal do Rio de Janeiro","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Salazar, Pedro Luis Antônio Guerrero"],"committee_chairs":[],"committee_members":[],"year":1982,"date_issued":"1982-11","date_published":"1982-11","updated_at":"2026-07-24T01:15:59Z","subjects":["Engenharia Civil"],"languages":["por"],"rights":["Acesso Aberto"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11422/3263","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Salazar, Pedro Luis Antônio Guerrero"]},{"key":"dc:creator","label":"Author","values":["Pinheiro, Mário Cicarelli"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-12-08T16:05:44Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2026-05-16T03:04:14Z"]},{"key":"dc:date.issued","label":"Date","values":["1982-11"]},{"key":"dc:publisher","label":"Institution","values":["Universidade Federal do Rio de Janeiro"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia"]},{"key":"dc:type","label":"Dc Type","values":["Dissertação"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engenharia Civil"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["por"]},{"key":"dc:rights","label":"Dc Rights","values":["Acesso Aberto"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11422/3263"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The main purpose within this work is to selecting a mehod that best estimate future flood flow frequencies. By the way, many probability distributions, usually applied in flood frequency analysis, combined with differents parameters estimation methods have been considered. ln order to evaluate the goodness of fit of the functions to the data, the Chi-Square, Kolmogorov-Smirnov and some split-record testing have been used. A multiple-regression model and the Wakeby distribution have been also used to regionalize the quantiles for some return periods, to establish a flood frequency curve at sites where no streamflow observations have been taken and to improve the individual site estimates. The variables used were the annual maximum of daily peak, daily mean discharge, and the 3-day, 7-day, and 15-day volumes. The methodology was applied to some streamflow stations in the Southeastern and Southern regions of Brazil."]},{"key":"dc:title","label":"Title","values":["Cheias: análise de frequências e regionalização de quantis"]}]}],"canonical_facts":{"dc:contributor.advisor":["Salazar, Pedro Luis Antônio Guerrero"],"dc:creator":["Pinheiro, Mário Cicarelli"],"dc:date.accessioned":["2017-12-08T16:05:44Z"],"dc:date.available":["2026-05-16T03:04:14Z"],"dc:date.issued":["1982-11"],"dc:description.abstract":["The main purpose within this work is to selecting a mehod that best estimate future flood flow frequencies. By the way, many probability distributions, usually applied in flood frequency analysis, combined with differents parameters estimation methods have been considered. ln order to evaluate the goodness of fit of the functions to the data, the Chi-Square, Kolmogorov-Smirnov and some split-record testing have been used. A multiple-regression model and the Wakeby distribution have been also used to regionalize the quantiles for some return periods, to establish a flood frequency curve at sites where no streamflow observations have been taken and to improve the individual site estimates. The variables used were the annual maximum of daily peak, daily mean discharge, and the 3-day, 7-day, and 15-day volumes. The methodology was applied to some streamflow stations in the Southeastern and Southern regions of Brazil."],"dc:identifier.uri":["http://hdl.handle.net/11422/3263"],"dc:language":["por"],"dc:publisher":["Universidade Federal do Rio de Janeiro"],"dc:publisher.department":["Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia"],"dc:rights":["Acesso Aberto"],"dc:subject":["Engenharia Civil"],"dc:title":["Cheias: análise de frequências e regionalização de quantis"],"dc:type":["Dissertação"]},"updated_at":"2026-07-24T01:15:59Z"}