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A comprehensive analysis of regional disaggregation coefficients and intensity-duration-frequency curves for the Itacai & uacute;nas watershed in the eastern Brazilian Amazon

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Author(s):
Terassi, Paulo Miguel de Bodas ; Pontes, Paulo Rogenes Monteiro ; Xavier, Ana Carolina Freitas ; Cavalcante, Rosane Barbosa Lopes ; Serrao, Edivaldo Afonso de Oliveira ; Sobral, Bruno Serafini ; de Oliveira-Junior, Jose Francisco ; de Melo, Adayana Maria Queiroz ; Baratto, Jakeline
Total Authors: 9
Document type: Journal article
Source: THEORETICAL AND APPLIED CLIMATOLOGY; v. N/A, p. 18-pg., 2023-08-23.
Abstract

This study assesses the frequency and intensity of rainfall and determines the optimal methods for estimating extreme rainfall in the Itacaiunas River watershed (IRW), situated in the eastern Brazilian Amazon. Daily rainfall data from 1988 to 2018 were acquired from the Brazilian National Water Agency (ANA) and the National Institute of Meteorology (INMET), whereas hourly data from 2016 to 2018 were obtained from the Vale Institute of Technology and INMET. To fit the annual maximum daily rainfall data, we employed 11 probability distribution functions (PDFs) and evaluated their efficacy using the Kolmogorov-Smirnov (KS) and Anderson-Darling (AD) tests, as well as the Akaike information criterion (AIC), Bayesian information criterion (BIC), and log-likelihood function (LLF). The Gumbel and gamma distributions yielded superior results, as evidenced by the AIC and BIC criteria. The LLF demonstrated that the GEV and Weibull 3 PDFs better fit the maximum annual rainfall series. We calculated rainfall disaggregation coefficients from the rainfall schedule data to estimate maximum rainfall for different duration periods. A comparison with CETESB coefficients revealed that updating these estimates is necessary for accurately representing intense rainfall events in the eastern Amazon. Our analysis estimated upper hourly maximum rainfall of up to 115 mm/h for a return period of 100 years. (AU)

FAPESP's process: 22/02383-3 - Macroclimate factors infuence at Cananéia-Iguape Costal system's magrove, São Paulo
Grantee:Jakeline Baratto
Support Opportunities: Scholarships in Brazil - Post-Doctoral