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      Hydrological regionalization of maximum stream flows using an approach based on L-moments Translated title: Regionalização hidrológica de vazões máximas utilizando uma abordagem baseada nos momentos-L

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          Abstract

          ABSTRACT The proper design of hydraulic structures depends on estimates of maximum stream flows. The scarce stream flow monitoring in Brazil has led to the use of regionalization methods. The main objective of this study was to develop a tool via regional function to estimate maximum stream flows and their corresponding return periods (RP) with the aid of techniques based on the L-moments method, seeking for adequate hydrologic engineering applications and flood risk management. Annual maximum stream flow historical series were adjusted to traditional 2-parameter probability density functions (PDFs) (Normal, 2-parameter Log-Normal, Gumbel, Gamma) and multiparameter PDFs (GEV and Kappa), based on the L-moments method, which were used in the development of the regional function employing the dimensionless curve method. The regional function’s predictive capability was determined by cross-validation for different RPs. It can be concluded that the approach based on L-moments was successfully used to adjust the regional function. In addition, the regional function: i) was improved when using the aforementioned multiparameter PDFs and ii) was framed as optimum for RP of up to 100 years and considered useful for practical engineering projects and flood risk management.

          Translated abstract

          RESUMO O dimensionamento adequado de estruturas hidráulicas é dependente das estimativas de vazões máximas. A escassez no monitoramento hidrológico no Brasil tem levado ao uso de métodos de regionalização. O principal objetivo do presente estudo foi desenvolver uma ferramenta via função regional para a estimativa das vazões máximas e seus respectivos tempos de retorno, com o suporte de técnicas baseadas no método dos momentos-L, com vistas a aplicações adequadas da engenharia hidrológica e da gestão de risco de cheias. As séries de vazão máxima diária anual foram ajustadas às funções densidade de probabilidade tradicionais de 2 parâmetros (Normal, 2-parameter Log-Normal, Gumbel, Gamma) e multiparâmetros (GEV and Kappa), baseando-se no método dos momentos-L, as quais foram utilizadas no desenvolvimento da função regional pelo método da curva adimensional. A capacidade preditiva da função regional foi determinada por validação cruzada para diferentes tempos de retorno. Pode-se concluir que a abordagem baseada nos momentos-L no ajuste da função regional foi satisfatória. Além disso,a função regional: i) foi aperfeiçoada quando as distribuições multiparâmetros acima mencionadas foram usadas e ii) foi classificada como ótima para tempos de retorno de até 100 anos sendo útil a projetos práticos de engenharia e na gestão de cheias.

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          Review article "Assessment of economic flood damage"

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            On the stationarity of annual flood peaks in the continental United States during the 20th century

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              Catchment similarity for regional flood frequency analysis using seasonality measures

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                rbrh
                RBRH
                RBRH
                Associação Brasileira de Recursos Hídricos (Porto Alegre, RS, Brazil )
                1414-381X
                2318-0331
                March 2017
                : 22
                : 0
                : e27
                Affiliations
                [01] Pelotas Rio Grande do Sul orgnameUniversidade Federal de Pelotas Brazil
                [02] Lavras Minas Gerais orgnameUniversidade Federal de Lavras Brazil
                Article
                S2318-03312017000100219
                10.1590/2318-0331.021720160064
                b990acdb-bf01-41ae-8253-01e274fd8b60

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

                History
                : 15 December 2016
                : 13 February 2017
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 43, Pages: 0
                Product

                SciELO Brazil

                Categories
                Scientific/Technical Article

                Statistical hydrology,Flood risk management,Bacia hidrográfica transfronteiriça Mirim-São Gonçalo,Kappa,GEV,Hidrologia estatística,Gestão de risco de cheia,Mirim-São Gonçalo transboundary basin

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