INTENSITY-DURATION-FREQUENCY RELATIONSHIP OF INTENSIVE RAINFALL FOR VILHENA, RONDÔNIA STATE, BRAZIL

Quantifying extreme rainfall, as well as knowing how it is distributed temporally and spatially, is extremely important in the design of hydraulic projects, especially those intended for irrigation, water availability for domestic and industrial supply, and construction works for flooding control and soil erosion. In this work, the IDF relations for the municipality of Vilhena-RO are developed using the Gumbel method and the Choi equation. For the quantification of rainfall, data from 13 consecutive hydrological years from 2008 to 2021 were used. With the daily data, the disaggregation coefficients of CETESB were used. Then, the statistical distribution methodologies of Gumbel and Choi were applied to estimate the maximum rainfall for return times from 1 to 100 years, with durations from 5 to 1440 min and stipulating their due maximum intensities. The IDF equations obtained are explicit by: i = 942.1863Tr0.1928 (t + 10.515)-0.75118 for the Gumbel method and i = 917.1045Tr0.1671 (t + 10.515)-0.75118 for the Choi equation. The two methodologies applied varied around 2.68% and 10.38% for return times between 1 and 25 years, respectively. The adjustments resulted in the following values by the Gumbel method: K = 942.1863, a = 0.1928, b = 10.515, and c = 0.75118. Using the Choi equation, the results obtained were: K = 917.1045, a = 0.1671, b = 10.515, and c = 0.75118. It is possible to highlight that the maximum intensity values ​​will be higher when calculated by the Gumbel method.

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Publication Details

Journal
Revista Geonorte
Published
2024-12-13
DOI
https://doi.org/10.21170/geonorte.2024.v.15.n.52.269.289
Primary Topic
Hydrology and Drought Analysis
Type
article
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article

INTENSITY-DURATION-FREQUENCY RELATIONSHIP OF INTENSIVE RAINFALL FOR VILHENA, RONDÔNIA STATE, BRAZIL

Helena Castro, Danilo Ferreira de Souza, Thiago Henrique Evangelista Alves, Maurizio Crestani et al.
Revista Geonorte
Hydrology and Drought Analysis
article

INTENSITY-DURATION-FREQUENCY RELATIONSHIP OF INTENSIVE RAINFALL FOR VILHENA, RONDÔNIA STATE, BRAZIL

Helena Castro, Danilo Ferreira de Souza, Thiago Henrique Evangelista Alves, Maurizio Crestani, Eden Mozart de Souza Filipaldi
article en

Abstract

Quantifying extreme rainfall, as well as knowing how it is distributed temporally and spatially, is extremely important in the design of hydraulic projects, especially those intended for irrigation, water availability for domestic and industrial supply, and construction works for flooding control and soil erosion. In this work, the IDF relations for the municipality of Vilhena-RO are developed using the Gumbel method and the Choi equation. For the quantification of rainfall, data from 13 consecutive hydrological years from 2008 to 2021 were used. With the daily data, the disaggregation coefficients of CETESB were used. Then, the statistical distribution methodologies of Gumbel and Choi were applied to estimate the maximum rainfall for return times from 1 to 100 years, with durations from 5 to 1440 min and stipulating their due maximum intensities. The IDF equations obtained are explicit by: i = 942.1863Tr0.1928 (t + 10.515)-0.75118 for the Gumbel method and i = 917.1045Tr0.1671 (t + 10.515)-0.75118 for the Choi equation. The two methodologies applied varied around 2.68% and 10.38% for return times between 1 and 25 years, respectively. The adjustments resulted in the following values by the Gumbel method: K = 942.1863, a = 0.1928, b = 10.515, and c = 0.75118. Using the Choi equation, the results obtained were: K = 917.1045, a = 0.1671, b = 10.515, and c = 0.75118. It is possible to highlight that the maximum intensity values ​​will be higher when calculated by the Gumbel method.

Revista GeonorteVol. 15(52)
Clean water and sanitation
Openalex Percentile: Top 80%
Hydrology and Drought Analysis
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INTENSITY-DURATION-FREQUENCY RELATIONSHIP OF INTENSIVE RAINFALL FOR VILHENA, RONDÔNIA STATE, BRAZIL — Helena Castro, Danilo Ferreira de Souza, et al. · Revista Geonorte (2024) | TGRS Research Map | TGRS