Intensity-duration-frequency of maximum rainfall in Mato Grosso State

  • Marlus Sabino Instituto de Física. Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Corrêa da Costa, n° 2367, CEP: 78060-900, Cuiabá, MT, Brazil.
  • Adilson Pacheco de Souza Instituto de Ciências Agrárias e Ambientais. Universidade Federal de Mato Grosso (UFMT), Avenida Alexandre Ferronatto, n° 1200, CEP: 78557-267, Sinop, MT, Brazil.
  • Eduardo Morgan Uliana Instituto de Ciências Agrárias e Ambientais. Universidade Federal de Mato Grosso (UFMT), Avenida Alexandre Ferronatto, n° 1200, CEP: 78557-267, Sinop, MT, Brazil.
  • Luana Lisboa Superintendência Regional De Manaus. Companhia de Pesquisa de Recursos Minerais (CPRM), Avenida André Araújo, n° 2160, CEP: 69060-000, Manaus, AM, Brazil.
  • Frederico Terra de Almeida Instituto de Ciências Agrárias e Ambientais. Universidade Federal de Mato Grosso (UFMT), Avenida Alexandre Ferronatto, n° 1200, CEP: 78557-267, Sinop, MT, Brazil.
  • Cornélio Alberto Zolin Embrapa Agrossilvipastoril, Rodovia dos Pioneiros MT-222, Km 2,5, CEP: 78550-970, Sinop, MT, Brazil.
Keywords: IDF, intense rainfall, project rain, water resource management

Abstract

 

Intensive rainfall is an important meteorological variable that is of technical interest in hydraulic projects. This study therefore generated Intensity-Duration-Frequency equations (IDF) for 14 weather stations in Mato Grosso State, based on pluviograph analysis. Annual maximum rainfall data regarding 10-to-1440-minute long rainfall events were collected from digitized daily pluviographs. Data adherence to the generalized extreme value distribution (GEV) was checked through the Kolmogorov-Smirnov test at a 20% significance level. Next, the maximum probable rainfall for return periods such as 2, 5, 10, 20, 30, 50 and 100 years was calculated and the IDF equations were adjusted. The performance of the IDF equations was evaluated based on mean absolute error (MAE), root mean square error (RMSE), bias, Willmott's concordance index and Nash-Sutcliffe efficiency index (ENS). Adjusting the IDF equations was only possible for rainfall durations ranging from 10 to 360 min at each station due to the low frequency of longer rainfalls.  High variation was present in parameters of the IDF equation and in maximum rainfall intensity between stations. The satisfactory performance of the models, as attested to by statistical indices, allows using IDF equations adjusted for rainfall durations from 10 to 360 min, and return periods from 2 to 100 years, in the regions of the Mato Grosso weather stations.


Author Biographies

Marlus Sabino, Instituto de Física. Universidade Federal de Mato Grosso (UFMT), Avenida Fernando Corrêa da Costa, n° 2367, CEP: 78060-900, Cuiabá, MT, Brazil.
       
Adilson Pacheco de Souza, Instituto de Ciências Agrárias e Ambientais. Universidade Federal de Mato Grosso (UFMT), Avenida Alexandre Ferronatto, n° 1200, CEP: 78557-267, Sinop, MT, Brazil.
      
Eduardo Morgan Uliana, Instituto de Ciências Agrárias e Ambientais. Universidade Federal de Mato Grosso (UFMT), Avenida Alexandre Ferronatto, n° 1200, CEP: 78557-267, Sinop, MT, Brazil.
     
Luana Lisboa, Superintendência Regional De Manaus. Companhia de Pesquisa de Recursos Minerais (CPRM), Avenida André Araújo, n° 2160, CEP: 69060-000, Manaus, AM, Brazil.
    
Frederico Terra de Almeida, Instituto de Ciências Agrárias e Ambientais. Universidade Federal de Mato Grosso (UFMT), Avenida Alexandre Ferronatto, n° 1200, CEP: 78557-267, Sinop, MT, Brazil.
   
Cornélio Alberto Zolin, Embrapa Agrossilvipastoril, Rodovia dos Pioneiros MT-222, Km 2,5, CEP: 78550-970, Sinop, MT, Brazil.
  
Published
03/02/2020
Section
Papers