Abstract
ABSTRACT Rainfall intensity-duration-frequency (IDF) relationships are a tool that can be used in modeling the transformation of rainfall to runoff, required for the design of hydraulic works. The objective of this study was to verify if there is a significant difference between the intensity-duration-frequency relationships generated using pluviographic records and those determined from pluviometric data. Maximum annual rainfall intensity values were obtained from the disaggregation of maximum daily rainfall and rainfall records in the durations of 5, 10, 15, 20, 30, 60, 120, 360, 720 and 1440 min and for the return periods of 2, 5, 10, 20, 25, 50 and 100 years, in the locality of Pelotas, Rio Grande do Sul state, Brazil (31° 46’ 34’’ S; 52° 21’ 34’’ W, altitude of 13.2 m). By Student’s t-test, it was verified that there is no significant difference between the values of maximum rainfall intensity obtained from pluviographic records and those determined from pluviometric data.
Highlights
IntroductionIt is necessary to know its intensity, duration and frequency of occurrence or return period (RP)
Rainfall is an element of weather and climate that varies in space
The objective of this study was to establish if there is a significant difference between the intensity-durationfrequency relationships obtained from the disaggregated daily maximum rainfall data in comparison to those determined by rainfall records, in the locality of Pelotas, Rio Grande do Sul state, Brazil
Summary
It is necessary to know its intensity, duration and frequency of occurrence or return period (RP). This characterization is typically presented as an intensity-duration-frequency (IDF) relationship, which is a tool used in modeling the transformation of rainfall to runoff (Damé et al, 2008). The intensity-duration-frequency relationship is traditionally determined from observations of intense rainfalls over a long period of time, which are representative of extreme events. While daily rainfall data is readily available (Back et al, 2011; Aragão et al, 2013; Damé et al, 2014), since in Brazil, there is an extensive pluviometric monitoring network
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