Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil
ABSTRACT Understanding the probabilistic behavior of extreme rainfall on a fine temporal and spatial scales is crucial for design and risk assessment of hydraulic structures. However, information at appropriate resolutions is frequently limited or unavailable at the locations of interest, thereby re...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Recursos Hídricos
2022-12-01
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| Series: | Revista Brasileira de Recursos Hídricos |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100240&tlng=en |
| _version_ | 1811294312572387328 |
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| author | Alan de Gois Barbosa Izaias Rodrigues de Souza Neto Veber Afonso Figueiredo Costa Ludmilson Abritta Mendes |
| author_facet | Alan de Gois Barbosa Izaias Rodrigues de Souza Neto Veber Afonso Figueiredo Costa Ludmilson Abritta Mendes |
| author_sort | Alan de Gois Barbosa |
| collection | DOAJ |
| description | ABSTRACT Understanding the probabilistic behavior of extreme rainfall on a fine temporal and spatial scales is crucial for design and risk assessment of hydraulic structures. However, information at appropriate resolutions is frequently limited or unavailable at the locations of interest, thereby requiring the estimation of Intensity-Duration-Frequency (IDF) curves at the regional scale. In this paper, we resort to simplified approaches for rainfall disaggregation and spatialization for deriving a regional IDF equation for the Grande River catchment, in the Brazilian state of Bahia. Our results suggest that, at the daily time scale, the maximum rainfall amounts can be reasonably described by the light-tailed Gumbel distribution in the study region. The spatialization procedures indicated that, whereas both the Inverse Distance Weighting (IDW) and the ordinary kriging techniques could capture the spatial variability of rainfall quantiles, for several durations of practical interest, only the former was able to model the spatial variability of the IDF parameters. Finally, despite the simplifying assumptions, we were able to derive smooth spatial surfaces for the aforementioned quantities, which might be useful for the design of hydraulic structures at ungauged sites. |
| first_indexed | 2024-04-13T05:14:37Z |
| format | Article |
| id | doaj.art-64d16e10652a4eb4b187f0b91f9190ef |
| institution | Directory Open Access Journal |
| issn | 2318-0331 |
| language | English |
| last_indexed | 2024-04-13T05:14:37Z |
| publishDate | 2022-12-01 |
| publisher | Associação Brasileira de Recursos Hídricos |
| record_format | Article |
| series | Revista Brasileira de Recursos Hídricos |
| spelling | doaj.art-64d16e10652a4eb4b187f0b91f9190ef2022-12-22T03:00:55ZengAssociação Brasileira de Recursos HídricosRevista Brasileira de Recursos Hídricos2318-03312022-12-012710.1590/2318-0331.272220220083Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, BrazilAlan de Gois Barbosahttps://orcid.org/0000-0001-7760-9760Izaias Rodrigues de Souza Netohttps://orcid.org/0000-0002-7370-6990Veber Afonso Figueiredo Costahttps://orcid.org/0000-0002-3848-2098Ludmilson Abritta Mendeshttps://orcid.org/0000-0002-8202-7623ABSTRACT Understanding the probabilistic behavior of extreme rainfall on a fine temporal and spatial scales is crucial for design and risk assessment of hydraulic structures. However, information at appropriate resolutions is frequently limited or unavailable at the locations of interest, thereby requiring the estimation of Intensity-Duration-Frequency (IDF) curves at the regional scale. In this paper, we resort to simplified approaches for rainfall disaggregation and spatialization for deriving a regional IDF equation for the Grande River catchment, in the Brazilian state of Bahia. Our results suggest that, at the daily time scale, the maximum rainfall amounts can be reasonably described by the light-tailed Gumbel distribution in the study region. The spatialization procedures indicated that, whereas both the Inverse Distance Weighting (IDW) and the ordinary kriging techniques could capture the spatial variability of rainfall quantiles, for several durations of practical interest, only the former was able to model the spatial variability of the IDF parameters. Finally, despite the simplifying assumptions, we were able to derive smooth spatial surfaces for the aforementioned quantities, which might be useful for the design of hydraulic structures at ungauged sites.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100240&tlng=enHeavy rainfallsIDFIDWKriging |
| spellingShingle | Alan de Gois Barbosa Izaias Rodrigues de Souza Neto Veber Afonso Figueiredo Costa Ludmilson Abritta Mendes Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil Revista Brasileira de Recursos Hídricos Heavy rainfalls IDF IDW Kriging |
| title | Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil |
| title_full | Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil |
| title_fullStr | Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil |
| title_full_unstemmed | Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil |
| title_short | Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil |
| title_sort | assessing intensity duration frequency equations and spatialization techniques across the grande river basin in the state of bahia brazil |
| topic | Heavy rainfalls IDF IDW Kriging |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100240&tlng=en |
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