Avaliação de interpoladores para os parâmetros das equações de chuvas intensas no Espírito Santo

Cecílio, Roberto Avelino; Xavier, Alexandre Cândido; Pruski, Fernando Falco; Pezzopane, José Eduardo Macedo

doi:10.4136/ambi-agua.104

Cited by 16 publications

(16 citation statements)

References 8 publications

(9 reference statements)

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“…Segundo Cecílio et al (2009), por causar grandes escoamentos superficiais, as chuvas intensas são capazes de provocar prejuízos tanto em áreas urbanas quanto em áreas agrícolas, como inundação de terras cultivadas, erosão do solo, perdas de nutrientes e assoreamento de corpos da água, dentre outros. Dessa forma, a sua quantificação, bem como o conhecimento da forma como se distribui temporal e espacialmente são de extrema importância em estudos relacionados a dimensionamentos de projetos hidráulicos, como de irrigação, disponibilidade de água para abastecimento doméstico e industrial, obras de controle de inundação e erosão do solo (CECÍLIO et al, 2009;RODRIGUES et al, 2008;GRIEBELER;OLIVEIRA, 2010).…”

Section: Introductionunclassified

Equações de intensidade-duração-frequência de chuvas para o estado do Piauí

Campos¹,

Santos²,

Silva³

et al. 2014

Rev. Ciênc. Agron.

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Section: Introductionunclassified

Equações de intensidade-duração-frequência de chuvas para o estado do Piauí

Campos¹,

Santos²,

Silva³

et al. 2014

Rev. Ciênc. Agron.

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“…(Silva et al 2012, Souza et al 2012, Aragão et al 2013, produce a large volume of water in a short period of time. As such, they are apt to cause large surface flows and considerable damage in both urban and agricultural areas in the form of floods, dam ruptures, inundation of cultivated land, soil erosion, silting and contamination of water bodies (Cecílio et al 2009, Santos et al 2009). The knowledge of rainfall volume at a specific time and space is important for planning soil and water conservation practices and hydrographic basin management, in order to establish the flow used in different types of hydraulic projects (Back 2009, Cecílio et al 2009, Santos et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Estimate of intense rainfall equation parameters for rainfall stations of the Paraíba State, Brazil

Campos

Silva

Santos

et al. 2017

Pesqui. Agropecu. Trop.

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Rainfall is the primary water source for hydrographic basins. Hence, the quantification and knowledge of its temporal and spatial distribution are indispensable in dimensioning hydraulic projects. This study aimed at assessing the fit of a series of rainfall data to different probability models, as well as estimating parameters of the intensity-duration-frequency (IDF) equation for rain stations of the Paraíba State, Brazil. The rainfall data of each station were obtained from the Brazilian Water Agency databanks. To estimate the maximum daily rainfall of each station and return period (5, 10, 15, 25, 50 and 100 years), the following probability distributions were used: Gumbel, Log-Normal II, Log-Normal III, Pearson III and Log-Pearson III. The estimation of rainfall in durations of 5-1,440 min was carried out by daily rainfall disaggregation. The adjustment of the IDF equation was performed via nonlinear multiple regression, using the nonlinear generalized reduced gradient interaction method. When compared to the data observed, the intense rainfall equations for most stations showed goodness of fit with coefficients of determination above 0.99, which supports the methodology applied in this study.

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“…Segundo Cecílio e Pruski (2003), a média dos valores do erro percentual pouco significaria na determinação de um EP, proporcionado em cada estação, portanto, optou-se pelo erro médio percentual absoluto (EMP), Equação 6, calculado com o uso do módulo do erro percentual, como proposto pelos autores e por Cecílio et al (2009). Após ajustados os coeficientes das equações IDF, foi realizada a espacialização dos coeficientes (K, m, t0 e n) para toda a CRJ.…”

Section: Methodsunclassified

“…A caracterização das chuvas intensas é feita por intermédio de equações empíricas denominadas equações de intensidade-duração-frequência (IDF), ou equações de chuvas intensas (Cecílio et al, 2009). O conhecimento sobre estas equações apresenta grande interesse de ordem técnica nos projetos de obras hidráulicas (Silva et al, 2002).…”

Section: Introductionunclassified

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2018

Rev. ambiente água

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The state of Bahia's main climatic characteristic is the high spatial and chronological variability of precipitation. This heterogeneity may be used to determine of pluviometrically homogeneous areas that can define mesoregions in the state, since they allow better management of water resources and help in the elaboration of agricultural studies. The mesoregions already proposed by the scientific community for the state were based only on the annual precipitation in the proximity of the pluviometric stations. In this paper, besides these parameters, spatial and chronological rainfall distribution was considered, i.e., the Precipitation Concentration Degree (PCD) and Precipitation Concentration Period (PCP). The new zoning is based on an update of a study defined in 2000 that divided Bahia into eight mesoregions. Thus, 180 pluviometric stations were distributed throughout the state and grouped conforming to the division previously described. It was concluded that some stations of the same mesoregion had presented conflicting values for the analyzed parameters and, therefore, should not belong to the same area. Starting from an arrangement of the collection stations, considering their proximity, annual precipitation and statistical parameters, a new zoning for Bahia with 10 clusters was defined and validated through the statistical treatment of data.

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Avaliação de interpoladores para os parâmetros das equações de chuvas intensas no Espírito Santo

Cited by 16 publications

References 8 publications

Equações de intensidade-duração-frequência de chuvas para o estado do Piauí

Equações de intensidade-duração-frequência de chuvas para o estado do Piauí

Estimate of intense rainfall equation parameters for rainfall stations of the Paraíba State, Brazil

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