Performance of parametric intensity-duration-frequency models in the study of intense rainfalls

Detalhes bibliográficos
Autor(a) principal: Pansera, Wagner Alessandro
Data de Publicação: 2020
Outros Autores: Gomes, Benedito Martins, Saad, João Carlos Cury [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.15809/irriga.2020v25n1p102-111
http://hdl.handle.net/11449/201842
Resumo: Intensive rainfalls are characterized by their intensity (i), duration (t) and return period (T). The design rainfall used in hydraulic works design is determined using mathematical models of type i = f (t,T). This functional relationship is usually made by a potential non-linear multiple regression model, called the standard model. However, there are other models that have been poorly studied and may perform better than the standard model. Thus, this work aimed to evaluate the performance of seven mathematical models alternative to the standard model. Data of annual-daily-maximum rainfall for Cascavel, Paraná-Brazil, from 1975 to 2015, were used to derive the models. The rainfalls were disaggregated at intensities with return period ranging from 2 to 100 years and duration between 5 and 1440 min. The seven models studied were adjusted to the disaggregated values, as in the standard model. The best performances were from models 1 and 7, as their estimation errors in precipitation intensity were less than 5%. The worst performances were on models 5 and 6, which can generate errors greater than 40%.
id UNSP_14a0c61726e3791c0732efc0868e4455
oai_identifier_str oai:repositorio.unesp.br:11449/201842
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Performance of parametric intensity-duration-frequency models in the study of intense rainfallsDesempenho de modelos paramétricos intensidade-duração-frequência no estudo de chuvas intensasExtreme valuesNonlinear regressionRainfall disaggregationIntensive rainfalls are characterized by their intensity (i), duration (t) and return period (T). The design rainfall used in hydraulic works design is determined using mathematical models of type i = f (t,T). This functional relationship is usually made by a potential non-linear multiple regression model, called the standard model. However, there are other models that have been poorly studied and may perform better than the standard model. Thus, this work aimed to evaluate the performance of seven mathematical models alternative to the standard model. Data of annual-daily-maximum rainfall for Cascavel, Paraná-Brazil, from 1975 to 2015, were used to derive the models. The rainfalls were disaggregated at intensities with return period ranging from 2 to 100 years and duration between 5 and 1440 min. The seven models studied were adjusted to the disaggregated values, as in the standard model. The best performances were from models 1 and 7, as their estimation errors in precipitation intensity were less than 5%. The worst performances were on models 5 and 6, which can generate errors greater than 40%.Departamento de Engenharia Civil UTFPR, R. Cristo Rei, 19, Vila BeckerCentro de Ciências Exatas e Tecnológicas UNIOESTE, R. Universitária, 1619, UniversitárioDepartamento de Engenharia Rural FCA/UNESP, Av. Universitária, 3780, Jardim ParaísoDepartamento de Engenharia Rural FCA/UNESP, Av. Universitária, 3780, Jardim ParaísoUTFPRUNIOESTEUniversidade Estadual Paulista (Unesp)Pansera, Wagner AlessandroGomes, Benedito MartinsSaad, João Carlos Cury [UNESP]2020-12-12T02:43:15Z2020-12-12T02:43:15Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article102-111http://dx.doi.org/10.15809/irriga.2020v25n1p102-111IRRIGA, v. 25, n. 1, p. 102-111, 2020.1808-37651413-7895http://hdl.handle.net/11449/20184210.15809/irriga.2020v25n1p102-1112-s2.0-85086014037Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporIRRIGAinfo:eu-repo/semantics/openAccess2024-04-30T14:02:23Zoai:repositorio.unesp.br:11449/201842Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-30T14:02:23Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Performance of parametric intensity-duration-frequency models in the study of intense rainfalls
Desempenho de modelos paramétricos intensidade-duração-frequência no estudo de chuvas intensas
title Performance of parametric intensity-duration-frequency models in the study of intense rainfalls
spellingShingle Performance of parametric intensity-duration-frequency models in the study of intense rainfalls
Pansera, Wagner Alessandro
Extreme values
Nonlinear regression
Rainfall disaggregation
title_short Performance of parametric intensity-duration-frequency models in the study of intense rainfalls
title_full Performance of parametric intensity-duration-frequency models in the study of intense rainfalls
title_fullStr Performance of parametric intensity-duration-frequency models in the study of intense rainfalls
title_full_unstemmed Performance of parametric intensity-duration-frequency models in the study of intense rainfalls
title_sort Performance of parametric intensity-duration-frequency models in the study of intense rainfalls
author Pansera, Wagner Alessandro
author_facet Pansera, Wagner Alessandro
Gomes, Benedito Martins
Saad, João Carlos Cury [UNESP]
author_role author
author2 Gomes, Benedito Martins
Saad, João Carlos Cury [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv UTFPR
UNIOESTE
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Pansera, Wagner Alessandro
Gomes, Benedito Martins
Saad, João Carlos Cury [UNESP]
dc.subject.por.fl_str_mv Extreme values
Nonlinear regression
Rainfall disaggregation
topic Extreme values
Nonlinear regression
Rainfall disaggregation
description Intensive rainfalls are characterized by their intensity (i), duration (t) and return period (T). The design rainfall used in hydraulic works design is determined using mathematical models of type i = f (t,T). This functional relationship is usually made by a potential non-linear multiple regression model, called the standard model. However, there are other models that have been poorly studied and may perform better than the standard model. Thus, this work aimed to evaluate the performance of seven mathematical models alternative to the standard model. Data of annual-daily-maximum rainfall for Cascavel, Paraná-Brazil, from 1975 to 2015, were used to derive the models. The rainfalls were disaggregated at intensities with return period ranging from 2 to 100 years and duration between 5 and 1440 min. The seven models studied were adjusted to the disaggregated values, as in the standard model. The best performances were from models 1 and 7, as their estimation errors in precipitation intensity were less than 5%. The worst performances were on models 5 and 6, which can generate errors greater than 40%.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:43:15Z
2020-12-12T02:43:15Z
2020-01-01
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://dx.doi.org/10.15809/irriga.2020v25n1p102-111
IRRIGA, v. 25, n. 1, p. 102-111, 2020.
1808-3765
1413-7895
http://hdl.handle.net/11449/201842
10.15809/irriga.2020v25n1p102-111
2-s2.0-85086014037
url http://dx.doi.org/10.15809/irriga.2020v25n1p102-111
http://hdl.handle.net/11449/201842
identifier_str_mv IRRIGA, v. 25, n. 1, p. 102-111, 2020.
1808-3765
1413-7895
10.15809/irriga.2020v25n1p102-111
2-s2.0-85086014037
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv IRRIGA
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 102-111
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1803650082500771840