Climate trends in the municipality of Pelotas, state of Rio Grande do Sul, Brazil

Kruel, Izabele Brandão; Meschiatti, Monica Cristina; Blain, Gabriel Constantino; Ávila, Ana Maria Heuminski de

doi:10.1590/1809-4430-eng.agric.v35n4p769-777/2015

Cited by 3 publications

(3 citation statements)

References 20 publications

(30 reference statements)

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“…These types of distributions have been widely applied in previous studies (e.g., Silva et al, 2002;Sansigolo, 2008;Back et al, 2011;Souza et al, 2012;Mello & Viola, 2013;Fechine Sobrinho et al, 2014), while the maximum likelihood method has been already used in Ramos & Moala (2014) and Kruel et al (2015).…”

Section: Methodsmentioning

confidence: 99%

Modeling of probability in obtaining intensity-duration-frequency relationships of rainfall occurrence for Pelotas, RS, Brazil

Dorneles

Damé

Teixeira-Gandra

et al. 2019

Rev. bras. eng. agríc. ambient.

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Based on historical series, for each locality, equations can characterize the relationship between intensity, duration and frequency of rainfall occurrence. The objective of this study was to present two equations that can describe the occurrence of intense rainfall in Pelotas, RS state, over the period 1982-2015. The two equations were denominated conventional and hybrid, depending on the probabilistic model used. Following the conventional methodology, the parameters of Normal, Log-Normal, Gumbel and Gamma probability distributions were adjusted by the maximum likelihood method for return periods of 2, 5, 10, 20, 25, 50 and 100 years. The maximum intensity values for the hybrid equation were obtained using the empirical model of Weibull, considering return periods of 2, 5, 10, 20 and 25 years. On the other hand, the same theoretical distributions used in the conventional equation were applied to return periods of 50 and 100 years. The Kolmogorov-Smirnov test was used to select the best fitting distribution for the data. In order to verify the information acquired through the Weibull empirical model in comparison to the theoretical distributions, the t-test was applied to the angular coefficients. Significant differences were not verified between the values of maximum rainfall intensities obtained using the two methodologies, for the pre-established durations and return periods. Thus, considering the maximum rainfall intensities values (durations of 5-1440 min) and return periods of 2-100 years in the municipality of Pelotas, RS, Brazil, both the hybrid and the conventional intense rainfall equations can be used.

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Section: Methodsmentioning

confidence: 99%

Modeling of probability in obtaining intensity-duration-frequency relationships of rainfall occurrence for Pelotas, RS, Brazil

Dorneles

Damé

Teixeira-Gandra

et al. 2019

Rev. bras. eng. agríc. ambient.

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“…COBANER e KISI, 2010; BEIJO e AVELAR, 2012), na hidrologia para analisar a frequência de fluidos e em finanças para calcular o valor em risco de retornos, perdas ou ganhos extremos (GUEVARA OTINIANO e TEIXEIRA, 2014), e nos extremos de temperaturas (BLAIN, 2011b;KRUEL et al, 2015;BEIJO e AVELAR, 2017).…”

Section: Referênciasunclassified

Caracterização Ópticas E Morfológicas De Filmes Biodegradáveis Compostos Por Fécula De Batata, Gelatina Bovina E Quitosana

Gonçalves¹,

Fontes²,

Assis³

et al. 2020

Desenvolvimento Social E Sustentável Das Ciências Agrárias 3

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EditoraDireitos para esta edição cedidos à Atena Editora pelos autores.Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons.Atribuição-Não-Comercial-NãoDerivativos 4.0 Internacional (CC BY-NC-ND 4.0). O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores, inclusive não representam necessariamente a posição oficial da Atena Editora. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais.A Atena Editora não se responsabiliza por eventuais mudanças ocorridas nos endereços convencionais ou eletrônicos citados nesta obra.Todos os manuscritos foram previamente submetidos à avaliação cega pelos pares, membros do Conselho Editorial desta Editora, tendo sido aprovados para a publicação.

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“…Usually, the diffuse pollution that is associated with rain is more important the longer the period of drought that precedes the referred phenomenon, that is, extended drought periods. The accumulation of materials and pollutants in urban regions increases during longer periods of lack of precipitation, as pollutant elimination is controlled by physical processes such as rain associated with the interval of occurrence, intensity, and duration (Kruel et al, 2015). The need generated by analyses of runoff frequency related to diffuse pollution has led to the concept of light rain hydrology, also called small storms (Pitt, 1999).…”

Section: Introductionmentioning

confidence: 99%

Light Rain Characterization in Piracicaba, São Paulo State, Brazil

Johanson¹,

Farias-Ramirez²,

Jacomazzi³

et al. 2023

Eng. Agríc.

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The disorderly soil occupation without the necessary conservationist practices leads to impacts on the local hydrology and induces the pollution of water resources. This pollution may come from more urbanized areas due to the amount of pollutants drained during the rains. Even moderate precipitations constitute one of the main factors that define pollutant runoff on the surface. These rains have recently been called light rains. Light rains have a lower precipitation height and a higher frequency compared to classic rains of drainage projects, being necessary to define them according to patterns of rain frequency for each region. This study aimed to characterize light rain in the municipality of Piracicaba to establish statistical standards for the frequency of certain precipitation heights. A database provided by the ESALQ/USP automatic weather station, which provides precipitation measurements every 15 minutes, was used in the present study. Light rain heights reached 40.3, 41.4, and 42.7 mm for 100, 90, or 80% frequencies, respectively, which implies the use of return periods of 1.00, 1.11, and 1.25 years, respectively.

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Climate trends in the municipality of Pelotas, state of Rio Grande do Sul, Brazil

Cited by 3 publications

References 20 publications

Modeling of probability in obtaining intensity-duration-frequency relationships of rainfall occurrence for Pelotas, RS, Brazil

Modeling of probability in obtaining intensity-duration-frequency relationships of rainfall occurrence for Pelotas, RS, Brazil

Caracterização Ópticas E Morfológicas De Filmes Biodegradáveis Compostos Por Fécula De Batata, Gelatina Bovina E Quitosana

Light Rain Characterization in Piracicaba, São Paulo State, Brazil

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