Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/25331 |
Resumo: | The objective of this study was to perform a sensitivity analysis and automatic calibration of the hydrological parameters of the Goiana river basin in the state of Pernambuco. A hydrological modeling structure for the basin was built using the PCSMMM (Personal Computer Storm Water Management Model) hydrodynamic model and the analyzes were carried out in 10 sub-basins. Based on the model developed for the basin, the resources available in the PCSWMM for sensitivity analysis and automatic calibration, known as SRTC (Sensitivity-based Radio Tuning Calibration), were explored initially to evaluate the most sensitive parameters and then to perform the calibration of basin parameters. The daily flow data were extracted in 5 fluviometrics stations present in the main water courses of the basin and the precipitation data in 10 pluviometric stations. The results of the simulations were analyzed for the following statistics: Integral Square Error (ISE), Nash-Sutcliffe Efficiency (NSE), Determination Coefficient (), in addition to the qualitative analysis of the hydrograph modeled in relation to the observations. The most sensitive parameters were the Curve Number (CN) and Manning's roughness for the permeable ones. In three control points (Engenho Retiro, Caricé and Nazaré) the SES values were 0.919, 0.899 and 0.884, respectively. The results, in general, indicate a very satisfactory performance of the tools of automatic calibration and sensitivity analysis of the model, besides being effective in relation to the traditional approaches of calibration by trial and error. |
id |
UNIFEI_58d9429a780f87d74c37ec685ac7f3e1 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/25331 |
network_acronym_str |
UNIFEI |
network_name_str |
Research, Society and Development |
repository_id_str |
|
spelling |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stationsEvaluación de parámetros hidrológicos de la cuenca del Río Goiana en el estado de Pernambuco utilizando la herramienta de calibración automática del modelo hidrodinámico PCSWMM en múltiples estaciones fluviométricasAvaliação dos parâmetros hidrológicos da bacia do Rio Goiana no Estado de Pernambuco utilizando ferramenta de calibração automática do modelo hidrodinâmico PCSWMM em múltiplas estações fluviométricasSensitivity AnalysisAutomatic CalibrationPCSWMM ModelStatistical error analysis.Análisis de SensibilidadCalibración automáticaModelo PCSWMMAnálisis estadístico de errores.Análise de SensibilidadeCalibração AutomáticaModelo PCSWMMAnálise estatística do erro. The objective of this study was to perform a sensitivity analysis and automatic calibration of the hydrological parameters of the Goiana river basin in the state of Pernambuco. A hydrological modeling structure for the basin was built using the PCSMMM (Personal Computer Storm Water Management Model) hydrodynamic model and the analyzes were carried out in 10 sub-basins. Based on the model developed for the basin, the resources available in the PCSWMM for sensitivity analysis and automatic calibration, known as SRTC (Sensitivity-based Radio Tuning Calibration), were explored initially to evaluate the most sensitive parameters and then to perform the calibration of basin parameters. The daily flow data were extracted in 5 fluviometrics stations present in the main water courses of the basin and the precipitation data in 10 pluviometric stations. The results of the simulations were analyzed for the following statistics: Integral Square Error (ISE), Nash-Sutcliffe Efficiency (NSE), Determination Coefficient (), in addition to the qualitative analysis of the hydrograph modeled in relation to the observations. The most sensitive parameters were the Curve Number (CN) and Manning's roughness for the permeable ones. In three control points (Engenho Retiro, Caricé and Nazaré) the SES values were 0.919, 0.899 and 0.884, respectively. The results, in general, indicate a very satisfactory performance of the tools of automatic calibration and sensitivity analysis of the model, besides being effective in relation to the traditional approaches of calibration by trial and error.El objetivo de este estudio fue realizar un análisis de sensibilidad y calibración automática de los parámetros hidrológicos de la cuenca del río Goiana en el estado de Pernambuco. Se construyó una estructura de modelado hidrológico de la cuenca en el modelo hidrodinámico PCSMMM (Personal Computer Storm Water Management Model) y los análisis se realizaron en 10 subcuencas de la misma. Con base en el modelo desarrollado para la cuenca, los recursos disponibles en el PCSWMM para análisis de sensibilidad y calibración automática, conocidos como SRTC (Calibración de sintonización de radio basada en sensibilidad), fueron inicialmente explorados para evaluar los parámetros más sensibles y luego realizar la calibración de parámetros de la cuenca. Los datos de caudal diario se extrajeron de 5 estaciones fluviométricas presentes en los principales cursos de agua de la cuenca y los datos de precipitación de 10 estaciones pluviométricas. Los resultados de la simulación se analizaron utilizando las siguientes estadísticas: Error Cuadrado Integral (ISE), Eficiencia Nash-Sutcliffe (NSE), Coeficiente de Determinación (), además del análisis cualitativo del hidrograma modelado en relación a las observaciones. Los parámetros con mayor sensibilidad fueron el Número de Curva (CN) y la rugosidad de Manning para las permeables. En tres puntos de control (Engenho Retiro, Caricé y Nazaré) los valores de NSE fueron 0,919, 0,899 y 0,884, respectivamente. Los resultados, en general, indican un desempeño muy satisfactorio de las herramientas de calibración automática y análisis de sensibilidad del modelo, además de ser efectivas en relación a los enfoques tradicionales de calibración de prueba y error.Objetivou-se com este estudo realizar a análise de sensibilidade e calibração automática dos parâmetros hidrológicos da bacia hidrográfica do rio Goiana no estado de Pernambuco. Uma estruturação de modelagem hidrológica da bacia foi construída no modelo hidrodinâmico PCSMMM (Personal Computer Storm Water Management Model) e as análises foram realizadas em 10 sub-bacias da mesma. A partir do modelo desenvolvido para a bacia, os recursos disponíveis no PCSWMM de análise de sensibilidade e calibração automática, conhecido como SRTC (Sensitivity-based Radio Tuning Calibration), foram explorados inicialmente para avaliar os parâmetros mais sensíveis e em seguida para realizar a calibração dos parâmetros da bacia. Os dados de vazão diária foram extraídos em 5 estações fluviométricas presentes nos principais cursos d’água da bacia e os dados de precipitação em 10 postos pluviométricos. Os resultados das simulações foram analisados quanto as seguintes estatísticas: Erro Quadrado Integral (ISE), Eficiência Nash-Sutcliffe (NSE), Coeficiente de Determinação (), além da análise qualitativa dos hidrograma modelados em relação as observações. Os parâmetros com maior sensibilidade foram o Curve Number (CN) e a rugosidade de Manning para as permeáveis. Em três pontos de controle (Engenho Retiro, Caricé e Nazaré) os valores de NSE foram de 0,919, 0,899 e 0,884, respectivamente. Os resultados, de maneira geral, indicam um desempenho bastante satisfatório das ferramentas de calibração automática e análise de sensibilidade do modelo, além de serem eficazes em relação as abordagens tradicionais de calibração por tentativa e erro.Research, Society and Development2022-01-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2533110.33448/rsd-v11i2.25331Research, Society and Development; Vol. 11 No. 2; e15011225331Research, Society and Development; Vol. 11 Núm. 2; e15011225331Research, Society and Development; v. 11 n. 2; e150112253312525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/25331/22404Copyright (c) 2022 Edinilson de Castro Ferreira; Alexson Caetano da Silva; Jaime Joaquim da Silva Pereira Cabral; José Roberto Gonçalves de Azevedohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFerreira, Edinilson de Castro Silva, Alexson Caetano da Cabral, Jaime Joaquim da Silva Pereira Azevedo, José Roberto Gonçalves de 2022-02-07T01:42:50Zoai:ojs.pkp.sfu.ca:article/25331Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:43:38.518404Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations Evaluación de parámetros hidrológicos de la cuenca del Río Goiana en el estado de Pernambuco utilizando la herramienta de calibración automática del modelo hidrodinámico PCSWMM en múltiples estaciones fluviométricas Avaliação dos parâmetros hidrológicos da bacia do Rio Goiana no Estado de Pernambuco utilizando ferramenta de calibração automática do modelo hidrodinâmico PCSWMM em múltiplas estações fluviométricas |
title |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations |
spellingShingle |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations Ferreira, Edinilson de Castro Sensitivity Analysis Automatic Calibration PCSWMM Model Statistical error analysis. Análisis de Sensibilidad Calibración automática Modelo PCSWMM Análisis estadístico de errores. Análise de Sensibilidade Calibração Automática Modelo PCSWMM Análise estatística do erro. |
title_short |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations |
title_full |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations |
title_fullStr |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations |
title_full_unstemmed |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations |
title_sort |
Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations |
author |
Ferreira, Edinilson de Castro |
author_facet |
Ferreira, Edinilson de Castro Silva, Alexson Caetano da Cabral, Jaime Joaquim da Silva Pereira Azevedo, José Roberto Gonçalves de |
author_role |
author |
author2 |
Silva, Alexson Caetano da Cabral, Jaime Joaquim da Silva Pereira Azevedo, José Roberto Gonçalves de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Ferreira, Edinilson de Castro Silva, Alexson Caetano da Cabral, Jaime Joaquim da Silva Pereira Azevedo, José Roberto Gonçalves de |
dc.subject.por.fl_str_mv |
Sensitivity Analysis Automatic Calibration PCSWMM Model Statistical error analysis. Análisis de Sensibilidad Calibración automática Modelo PCSWMM Análisis estadístico de errores. Análise de Sensibilidade Calibração Automática Modelo PCSWMM Análise estatística do erro. |
topic |
Sensitivity Analysis Automatic Calibration PCSWMM Model Statistical error analysis. Análisis de Sensibilidad Calibración automática Modelo PCSWMM Análisis estadístico de errores. Análise de Sensibilidade Calibração Automática Modelo PCSWMM Análise estatística do erro. |
description |
The objective of this study was to perform a sensitivity analysis and automatic calibration of the hydrological parameters of the Goiana river basin in the state of Pernambuco. A hydrological modeling structure for the basin was built using the PCSMMM (Personal Computer Storm Water Management Model) hydrodynamic model and the analyzes were carried out in 10 sub-basins. Based on the model developed for the basin, the resources available in the PCSWMM for sensitivity analysis and automatic calibration, known as SRTC (Sensitivity-based Radio Tuning Calibration), were explored initially to evaluate the most sensitive parameters and then to perform the calibration of basin parameters. The daily flow data were extracted in 5 fluviometrics stations present in the main water courses of the basin and the precipitation data in 10 pluviometric stations. The results of the simulations were analyzed for the following statistics: Integral Square Error (ISE), Nash-Sutcliffe Efficiency (NSE), Determination Coefficient (), in addition to the qualitative analysis of the hydrograph modeled in relation to the observations. The most sensitive parameters were the Curve Number (CN) and Manning's roughness for the permeable ones. In three control points (Engenho Retiro, Caricé and Nazaré) the SES values were 0.919, 0.899 and 0.884, respectively. The results, in general, indicate a very satisfactory performance of the tools of automatic calibration and sensitivity analysis of the model, besides being effective in relation to the traditional approaches of calibration by trial and error. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/25331 10.33448/rsd-v11i2.25331 |
url |
https://rsdjournal.org/index.php/rsd/article/view/25331 |
identifier_str_mv |
10.33448/rsd-v11i2.25331 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/25331/22404 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 2; e15011225331 Research, Society and Development; Vol. 11 Núm. 2; e15011225331 Research, Society and Development; v. 11 n. 2; e15011225331 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052820211367936 |