Intensity-duration-frequency relationships of rainfall through the technique of disaggregation of daily rainfall

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.

Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil

“…To cope with this issue, daily rainfall disaggregation techniques are typically employed to produce possible rainfall events at sub-daily time scales [5,6]. Approaches to disaggregation techniques have been reported in Europe [4,5,7], Oceania [6,8], Asia [9], Africa [10] North America [11], and South America [2,12,13] with a successful application, supplying sub-daily rainfall information. Daily rainfall disaggregation methods are important, especially in developing countries [14] to perform hydrological studies such as urban hydrology, runoff, soil erosion, and water resources management, due to the lack of sub-daily rainfall series.…”

“…The most used method for rainfall disaggregation in Brazil is the method that relates rainfall of different durations (RRDD method), in which coefficients are obtained to disaggregate one-day rainfall in sub-daily resolution rainfall. The disaggregation coefficients are obtained through the ratios between the precipitation depths with different durations [2,12,15] and used as multiplicative or as cascade indexes. The method is a recurrent and simple approach that can be used in locations with scarce sub-daily rainfall data to establish IDF relationships [8,16,17].…”

Daily Rainfall Disaggregation Coefficients for the Doce River Basin, Brazil: Regional Applicability and the Return Period Influence

“…The intensity-duration-frequency equation (IDF) is commonly used to relate rainfall intensity with its duration and annual frequency (Ouarda et al, 2019;Villela & Mattos, 1975). However, the determination of the IDF ratios for short-term rainfall requires long series of rainfall data and requires a great deal of effort in the tabulation, processing, analysis and interpretation of large numbers of pluviograms data (Bielenki Júnior et al, 2016;Cecílio & Pruski, 2003;Dorneles et al, 2019). Moreover, the pluviographic series, besides a smaller number, have generally shorter periods and with more failures than the pluviometric series (Back, 2020).…”

“…Moreover, the pluviographic series, besides a smaller number, have generally shorter periods and with more failures than the pluviometric series (Back, 2020). This has led to the use of relations that allow the estimation of critical rainfall based on pluviometric data, i.e., using daily rainfall data (Silva & Oliveira, 2017), since in Brazil, there is an extensive pluviometric monitoring network (Dorneles et al, 2019).…”

“…To use daily rainfall data, it is necessary to apply a disaggregation model, from which it is possible to obtain the values of water depths within shorter durations of time from the value of rainfall accumulated in one day (Aragão et al, 2013). CETESB (1986) established the relations among several rainfall durations based on pluviographic data available in the Brazilian territory, which are widely used, such as in the studies of Bielenki Júnior et al (2016); Dorneles et al (2019); Pereira et al (2017); and Silva & Oliveira (2017).…”