Generation of intensity duration frequency curves and intensity temporal variability pattern of intense rainfall for Lages/SC

Cardoso, Célio Orli; Bertol, Ildegardis; Soccol, Olívio José; Sampaio, Carlos Augusto de Paiva

doi:10.1590/s1516-89132013005000014

Cited by 18 publications

(10 citation statements)

References 22 publications

(22 reference statements)

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“…Longer return periods increased rainfall intensity (Figs. 2-3), as observed by other authors (Elsebaie, 2012; Cardoso et al, 2014;Tfwala et al, 2017).…”

Section: Rainfall Intensitysupporting

confidence: 83%

“…Otherwise, rainfall intensity dropped to 9 and 10 mm h -1 , respectively, for Barreiras and Colinas, when the rainfall had a duration of 24 hours. The reduction of rainfall intensity with longer raining period is an expected tendency, but the intensity was related with local climate (Elsebaie, 2012;Cardoso et al, 2014;Tfwala et al, 2017). For example, Elsebaie et al (2012) observed maximum rainfall intensity reducing from 38 mm h -1 in 10 minutes, to 1.74 mm h -1 in 24 hours, for return period of two years in Najran region, Saudi Arabia.…”

Section: Rainfall Intensitymentioning

confidence: 96%

“…Gumbel probabilistic model is the most widely used for rainfall intensityduration-frequency relationship (Koutsoyiannis et al, 1998;Beskow et al, 2015). The model was used to describe the maximum rainfall distribution in different sites around world, as in Saudi Arabia (Elsebaie, 2012), Israel (Ben-Zvi, 2009) and south of Brazil (Cardoso et al, 2014).…”

Section: Ifd Curves Modelmentioning

confidence: 99%

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Rainfall Intensity-Duration-Frequency Relationships for Risk Analysis in the Region of Matopiba, Brazil

Silva¹,

Casaroli

Evangelista

et al. 2019

Rev. bras. meteorol.

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The region of study was MATOPIBA, located in the north of Brazilian Savanna biome (Cerrado), encompassing part of north/northeast of Brazil. The region has been gaining prominence in the last years due to the expansion of agricultural over this area. The aims of this study were: to adjust parameters for rainfall intensity-duration-frequency; and to identify the most vulnerable agricultural areas to erosion based on erosivity and erodibility. The rainfall intensity-duration-frequency function were adjusted using series of maximum annual rainfall event from 105 rainfall gauges. Gumbel model was the most efficient to simulate the maximum rainfall intensity, where these data were used to adjusted the rainfall intensity-duration-frequency model based on K, a, b and c parameters. The most rainfall gauges showed intensity between 51 and 80 mm h-1 and 81 and 120 mm h-1, respectively, for return period of 2 and 100 years with rainfall duration of 30 minutes. The higher rainfall intensity was observed mainly in the central-north of the region associated with rainfall systems. The rainfall intensity showed a huge capacity to cause soil erosion based on the erosivity energy, while the moderate erodibility was observed for areas with Ferralsols and Leptosols and low erodibility for areas with Arenosols.

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“…Longer return periods increased rainfall intensity (Figs. 2-3), as observed by other authors (Elsebaie, 2012; Cardoso et al, 2014;Tfwala et al, 2017).…”

Section: Rainfall Intensitysupporting

confidence: 83%

Section: Rainfall Intensitymentioning

confidence: 96%

Section: Ifd Curves Modelmentioning

confidence: 99%

See 1 more Smart Citation

Rainfall Intensity-Duration-Frequency Relationships for Risk Analysis in the Region of Matopiba, Brazil

Silva¹,

Casaroli

Evangelista

et al. 2019

Rev. bras. meteorol.

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“…The IDF curve method has gained a large prominence through different study all over the world (e. g. Jakob et al, 2007; Xu and Tung, 2009; Lee et al, 2010; Haddad et al, 2011; Dourte et al, 2013; Du et al, 2014), they were applied on Yangambi station in Congo, using precipitation series in conjunction with Montana method, the results uncovered advantages and the inconvenient of the classical Montana formula, which did not lead to a satisfying result regarding the probabilistic and physical-based approach [11]. Further a study carried out in the south of Quebec, compared two different estimators of IDF curves, using the partial duration series (SDP) and the series of annual maxima (SMA) [12], Another study was performed in Brazil, aims to analyze the temporal distribution for intense rainfall and develop an IDF equation [13]. Munshi Md.…”

Section: Rainfall Intensity-duration-frequency Methodsmentioning

confidence: 99%

Generation of Synthetic Design Storm Hyetograph and Hydrologic Modeling under HEC HMS for Ziz Watershed

Elhassnaoui¹,

Moumen²,

Bouziane³

et al. 2019

IJITEE

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This article proposes a methodology for generating hourly rainfall from daily rainfall data. It was evolved as a tool for managing flood risks on Ziz catchment, by means of Intensity-duration-frequency curves (IDF) and designed hyetograph of Chicago. The study area is located in the south-eastern part of Morocco, and did not have a monitoring station for hourly rain measure, the methodomogy consist of determinating the rainfall intensity for 24 h using IDF, then estimating the hourly rainfall using Chicago formula, in order to assess the accuracy of the method the resulting hyetographs was introduced into the semi-distributed hydrological model HEC HMS to simulate hourly flow, which was compared to the observed one. The obtaining results exhibit that the observed value is positively correlated with those obtained by the above method, as shown by the correlation coefficient and the Nash-Sutcliffe. This approach can deal with instantaneous water management issues by tackling flood risks and providing an appropriate range of data for the dam’s management.

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“…First established in 1932 by Bernard [17], IDF is a statistical relationship of the intensity, duration and frequency of rainfall derived from historical rainfall data [13,16,22]. Since then, many different sets of relationships have been constructed for different parts of the world [13,16,17,[22][23][24][25].…”

Section: Rationalementioning

confidence: 99%

Development of Monsoonal Rainfall Intensity-Duration-Frequency (IDF) Relationship and Empirical Model for Data-Scarce Situations: The Case of the Central-Western Hills (Panchase Region) of Nepal

et al. 2018

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Intense monsoonal rain is one of the major triggering factors of floods and mass movements in Nepal that needs to be better understood in order to reduce human and economic losses and improve infrastructure planning and design. This phenomena is better understood through intensity-duration-frequency (IDF) relationships, which is a statistical method derived from historical rainfall data. In Nepal, the use of IDF for disaster management and project design is very limited. This study explored the rainfall variability and possibility to establish IDF relationships in data-scarce situations, such as in the Central-Western hills of Nepal, one of the highest rainfall zones of the country (~4500 mm annually), which was chosen for this study. Homogeneous daily rainfall series of 8 stations, available from the government's meteorological department, were analyzed by grouping them into hydrological years. The monsoonal daily rainfall was disaggregated to hourly synthetic series in a stochastic environment. Utilizing the historical statistical characteristics of rainfall, a disaggregation model was parameterized and implemented in HyetosMinute, software that disaggregates daily rainfall to finer time resolution. With the help of recorded daily and disaggregated hourly rainfall, reference IDF scenarios were developed adopting the Gumbel frequency factor. A mathematical model [i = a(T)/b(d)] was parameterized to model the station-specific IDF utilizing the best-fitted probability distribution function (PDF) and evaluated utilizing the reference IDF. The test statistics revealed optimal adjustment of empirical IDF parameters, required for a better statistical fit of the data. The model was calibrated, adjusting the parameters by minimizing standard error of prediction; accordingly a station-specific empirical IDF model was developed. To regionalize the IDF for ungauged locations, regional frequency analysis (RFA) based on L-moments was implemented. The heterogeneous region was divided into two homogeneous sub-regions; accordingly, regional L-moment ratios and growth curves were evaluated. Utilizing the reasonably acceptable distribution function, the regional growth curve was developed. Together with the hourly mean (extreme) precipitation and other dynamic parameters, regional empirical IDF models were developed. The adopted approach to derive station-specific and regional empirical IDF models was statistically significant and useful for obtaining extreme rainfall intensities at the given station and ungauged Hydrology 2018, 5, 27 2 of 27 locations. The analysis revealed that the region contains two distinct meteorological sub-regions highly variable in rain volume and intensity.

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Generation of intensity duration frequency curves and intensity temporal variability pattern of intense rainfall for Lages/SC

Cited by 18 publications

References 22 publications

Rainfall Intensity-Duration-Frequency Relationships for Risk Analysis in the Region of Matopiba, Brazil

Rainfall Intensity-Duration-Frequency Relationships for Risk Analysis in the Region of Matopiba, Brazil

Generation of Synthetic Design Storm Hyetograph and Hydrologic Modeling under HEC HMS for Ziz Watershed

Development of Monsoonal Rainfall Intensity-Duration-Frequency (IDF) Relationship and Empirical Model for Data-Scarce Situations: The Case of the Central-Western Hills (Panchase Region) of Nepal

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