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      Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil Translated title: Avaliação de equações de intensidade-duração-frequência e técnicas de espacialização na Bacia do Rio Grande no estado da Bahia, Brasil

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          Abstract

          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.

          Translated abstract

          RESUMO Compreender o comportamento probabilístico de chuvas extremas em escalas temporais e espaciais é crucial para o projeto e avaliação de risco de estruturas hidráulicas. Porém, informações em resolução adequada são frequentemente limitadas ou indisponíveis nos locais de interesse, o que, por sua vez, exigiria a estimativa de curvas de intensidade-duração-frequência (IDF) em escala regional. Neste artigo, empregam-se abordagens simplificadas para desagregação e espacialização de chuvas para derivar uma equação IDF regional para a bacia do Rio Grande, no estado da Bahia. Os resultados sugerem que, na escala de tempo diária, as quantidades máximas de chuva na região de estudo podem ser descritas razoavelmente pela distribuição de Gumbel. Os procedimentos de espacialização indicaram que, enquanto tanto a Ponderação pelo Inverso da Distância (IDW) quanto as técnicas de krigagem ordinária poderiam capturar a variabilidade espacial dos quantis de chuva, apenas a primeira foi capaz de modelar a variabilidade espacial dos parâmetros IDF para várias durações de interesse prático. Finalmente, apesar das premissas simplificadoras, foi possível derivar superfícies espaciais lisas para as grandezas mencionadas, o que pode ser útil para o projeto de estruturas hidráulicas em locais desprovidos de monitoramento.

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          Most cited references46

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          Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations

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                Author and article information

                Journal
                rbrh
                RBRH
                RBRH
                Associação Brasileira de Recursos Hídricos (Porto Alegre, RS, Brazil )
                1414-381X
                2318-0331
                2022
                : 27
                : e43
                Affiliations
                [02] São Cristóvão orgnameUniversidade Federal de Sergipe Brazil
                [01] Belo Horizonte Minas Gerais orgnameUniversidade Federal de Minas Gerais Brazil
                Article
                S2318-03312022000100240 S2318-0331(22)02700000240
                10.1590/2318-0331.272220220083
                bbaf72c8-5b13-4b93-a8ab-d078c90a7034

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 03 September 2022
                : 19 November 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 46, Pages: 0
                Product

                SciELO Brazil

                Categories
                Scientific/Technical Article

                Heavy rainfalls,Chuvas intensas,IDF,IDW,Krigagem,Kriging
                Heavy rainfalls, Chuvas intensas, IDF, IDW, Krigagem, Kriging

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