Intensity-Duration-Frequency relationships: stochastic modeling and disaggregation of daily rainfall in the lagoa Mirim watershed, Rio Grande do Sul, Brazil

Damé, Rita de Cássia Fraga; Teixeira-Gandra, Claudia Fernanda Almeida; Guedes, Hugo Alexandre Soares; Silva, Gisele M. da; Silveira, Suélen Cristiane Riemer da

doi:10.1590/1809-4430-eng.agric.v36n3p492-502/2016

Cited by 9 publications

(6 citation statements)

References 17 publications

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“…where: I -maximum average rainfall intensity, mm h -1 ; RP -return period, years; t -rain duration, min; and, K, a, b, c -adjustment parameters of the equation. OF 1 (Damé, 2001):…”

Section: Methodsmentioning

confidence: 99%

“…The conventional methodology for obtaining intensityduration-frequency relationships has been widely reported in the literature (Goulart et al, 1992;Garcia et al, 2011;Damé et al, 2016). Nevertheless, some questions still need to be answered: (i) Why theoretical models of probability should be used to obtain values of maximum intensity for return periods shorter than the length of the sampled period?…”

Section: Introductionmentioning

confidence: 99%

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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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“…where: I -maximum average rainfall intensity, mm h -1 ; RP -return period, years; t -rain duration, min; and, K, a, b, c -adjustment parameters of the equation. OF 1 (Damé, 2001):…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

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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“…Data used for Fig. 1 can be found in Wenzel (1982), Iida (2004), Rossi and Villani (1994), Brutsaert (2005), Elsebaie (2012), Chang et al (2015), Rasel and Hossain (2015), Van de Vyver (2015) and Damé et al (2016). Data used for Fig.…”

Section: Concluding Remarks and Outlookmentioning

confidence: 99%

“…Examples of intensity-duration-frequency curves for a 10-year return period (1-9) and curve of the maximum observed precipitation (10). Location and source: 1 -Najran region, Saudi Arabia (Elsebaie, 2012); 2 -Uccle, Belgium (Van de Vyver, 2015); 3 -Naples, Italy (Rossi and Villani, 1994); 4 -Los Angeles, California (Wenzel, 1982); 5 -Pelotas, Brazil (Damé et al, 2016); 6 -New York (Wenzel, 1982); 7 -Hamada, Japan (Iida, 2004); 8 -Selangor, Malaysia (Chang et al, 2015); 9 -Sylhet, Bangladesh (Rasel and Hossain, 2015); 10 -greatest known observed point rainfall (Brutsaert, 2005).…”

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confidence: 99%

Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds

Bogaard

Greco

2018

Nat. Hazards Earth Syst. Sci.

210

173

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Abstract. Many shallow landslides and debris flows are precipitation initiated. Therefore, regional landslide hazard assessment is often based on empirically derived precipitation intensity-duration (ID) thresholds and landslide inventories. Generally, two features of precipitation events are plotted and labeled with (shallow) landslide occurrence or nonoccurrence. Hereafter, a separation line or zone is drawn, mostly in logarithmic space. The practical background of ID is that often only meteorological information is available when analyzing (non-)occurrence of shallow landslides and, at the same time, it could be that precipitation information is a good proxy for both meteorological trigger and hydrological cause. Although applied in many case studies, this approach suffers from many false positives as well as limited physical process understanding. Some first steps towards a more hydrologically based approach have been proposed in the past, but these efforts received limited follow-up.Therefore, the objective of our paper is to (a) critically analyze the concept of precipitation ID thresholds for shallow landslides and debris flows from a hydro-meteorological point of view and (b) propose a trigger-cause conceptual framework for lumped regional hydro-meteorological hazard assessment based on published examples and associated discussion. We discuss the ID thresholds in relation to return periods of precipitation, soil physics, and slope and catchment water balance. With this paper, we aim to contribute to the development of a stronger conceptual model for regional landslide hazard assessment based on physical process understanding and empirical data.

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“…This concentration of pollutants is carried by the socalled first flush, which is defined as the first volume of precipitation that is drained. The first flush phenomena are recognized as typical of highly populated and urbanized regions (Damé et al, 2016). The first flush phenomenon can be described as the runoff of rainwater during which pollutant concentration is significantly higher than in later precipitation stages (Beck et al, 2017).…”

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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Intensity-Duration-Frequency relationships: stochastic modeling and disaggregation of daily rainfall in the lagoa Mirim watershed, Rio Grande do Sul, Brazil

Cited by 9 publications

References 17 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

Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds

Light Rain Characterization in Piracicaba, São Paulo State, Brazil

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