Sub-daily hydrological-hydrodynamic simulation in flash flood basins: Una river (Pernambuco/Brazil)

  • Otacílio Correia Lima Neto Departamento de Engenharia Civil e Ambiental. Programa de Pós-Graduação em Engenharia Civil. Universidade Federal de Pernambuco (UFPE), Rua Acadêmico Hélio Ramos, s/n, Cidade Universitária, CEP: 50740-530, Recife, PE, Brazil. Núcleo Operacional da Gerência da Sub-bacia Hidrográfica do Rio Salgado. Companhia de Gestão dos Recursos Hídricos do Estado do Ceará (COGERH), Avenida Alan Kardec, n° 40, CEP: 63122-295, Crato, CE, Brazil.
  • Alfredo Ribeiro Neto Departamento de Engenharia Civil e Ambiental. Programa de Pós-Graduação em Engenharia Civil. Universidade Federal de Pernambuco (UFPE), Rua Acadêmico Hélio Ramos, s/n, Cidade Universitária, CEP: 50740-530, Recife, PE, Brazil.
  • Fellipe Henrique Borba Alves Departamento de Engenharia Civil e Ambiental. Programa de Pós-Graduação em Engenharia Civil. Universidade Federal de Pernambuco (UFPE), Rua Acadêmico Hélio Ramos, s/n, Cidade Universitária, CEP: 50740-530, Recife, PE, Brazil.
  • José Almir Cirilo Núcleo de Tecnologia. Universidade Federal de Pernambuco (UFPE), Avenida Campina Grande, s/n, Km 59, CEP: 55014-900, Caruaru, PE, Brazil.
DOI: https://doi.org/10.4136/ambi-agua.2556
Keywords: hydrologic modeling system, natural disasters, river analysis system, 2D simulation

Abstract

Flash floods are observed in the Una River Basin, Pernambuco/Brazil. This particular type of flood is a short-duration hydrological event with occurrence of the peak flow within minutes to few hours after the onset of the rainfall, taking place typically in mountainous regions. The objective of the paper was to assess the sub-daily hydrological and hydrodynamic modeling of flood events in 2011 and 2017. Sub-daily precipitation and streamflow were applied to the models Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) and River Analysis System (HEC-RAS). Model evaluation methods such as Nash-Sutcliffe efficiency (NSE), percent bias, and the ratio of the root mean squared error to the standard deviation of measured data (RSR) were used in the calibration process. The maximum infiltration rate and the Snyder peak coefficient estimation were the most sensitive parameters in the hydrological model. The calibration of the HEC-HMS showed good performances (Catende station NSE=0.78 and RSR=0.46; Palmares station NSE=0.68 and RSR=0.57). During HEC-RAS 1D flow simulations, steep regions in the Una River caused numerical instabilities. The 2D solution was needed to overcome this problem, allowing us to represent the water level in the city of Palmares satisfactorily.


Published
03/09/2020
Issue
Vol. 15 No. 5 (2020)
Section
Papers

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