Modeling precipitation of short duration by means of the modified Bartlett-Lewis rectangular pulse model

Back, Álvaro José; Uggioni, Edison; Vieira, E Hamilton Justino

doi:10.1590/s0102-77862011000300012

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…In Brazil is relatively easy to obtain daily rainfall data, but rainfall data of shorter duration are rarely available, due to the lack of recording equipment, and when they do exist, they present relatively short series with many gaps [3].…”

Section: Correlation Of Durationsmentioning

confidence: 99%

Prediction vs. Performance of IDF Curves from Precipitation Data of Regional Climate Models for a Brazilian Coastal County

Martins¹,

Kruk²,

Queiroz³

et al. 2018

Preprint

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Drainage systems are usually dimensioned for design storms based on intensity-duration-frequency (IDF) curves of extreme precipitation. For each location, different IDF curves are established based on local hydrological conditions. Recent research shows that these curves also vary with time, and should be updated with recent data. The purpose of this study is to evaluate IDF curves obtained from precipitation simulations from the Eta RCM, comparing them with IDF curves obtained from data of a rainfall station. Climate models can be a useful tool for assessing the impacts of climate changes on drainage systems, referring precipitation forecasts. In this study, the Eta RCM was forced by two global climate models: HadGEM2-ES and MIROC5. The bias of the precipitation data, generated by RCM models, was corrected using a Gamma distribution. The Juqueriquerê River Basin, in the cities of Caraguatatuba and São Sebastião, São Paulo State, Brazil, was chosen as a case study. The results show a good correlation between the IDF curves of simulated and observed rainfall for the control period (1960-2005), indicating the strong possibility of using the Eta RCM precipitation forecasts for 2007 - 2099 to establish future IDFs thereby, taking into account climate changes in urban drainage design.

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Section: Correlation Of Durationsmentioning

confidence: 99%

Prediction vs. Performance of IDF Curves from Precipitation Data of Regional Climate Models for a Brazilian Coastal County

Martins¹,

Kruk²,

Queiroz³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Then the storm will be given by the sum of all cells, which has the frequency and characteristics determined by 6 parameters (λ, α, ν, k, μx and Φ). (Back et al, 2011;Rodriguez et al, 1987;Rodriguez et al, 1988) Four years were used to calibrate the Bartlett-Lewis modified model parameters. To do this, the historical rainfall regime of a 5min timestep was aggregated to a 3 hour timestep and then desegregated.…”

Section: 23climate Change Scenariosmentioning

confidence: 99%

Climate changes impacts on subtropical urban drainage with low impact developments

Lago¹

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Low impact developments (LID) have been used to mitigate the effects of urbanization on the hydrological cycle. However, there is a lack of studies on LID performance in subtropical climates and under potential impacts of climate change scenarios. This dissertation evaluated the impacts of two climate change scenarios (RCP 4.5 and 8.5) on urban drainage with pollutants and their effect on LID practice efficiency located in a subtropical climate, with Cfa classification according to Köppen and Geiger. First, the inlet quantity and quality parameters were calibrated. The buildup/washoff model was evaluated, comparing load calibration and concentration of pollutants: chemical oxygen demand (COD), total organic carbon (TOC), phosphate (PO4) (NH3), iron (Fe), cadmium (Cd) and zinc (Zn). Pollutant washing was studied in the area of the bioretention catchment using historical rainfall data between 2013 and 2017, analyzing the influence of the buildup/washoff parameters of each pollutant in the input mass. Afterwards, Eta-5x5km (INPE) climate change scenarios were disaggregated to 5-minute intervals by the modified Bartlett-Lewis method. The disaggregated series was used to estimate the impacts of climate change on urban drainage into the bioretention. Therefore, a simple model, developed specifically for the study bioretention cell, was used to estimate the qualitative-quantitative efficiencies of each period of the climate change scenarios. According to the data acquired from INPE, climate change will result in a fall in the volume of rainfall in São Carlos, resulting in lower volumes of surface runoff. The impacts on pollutant washing, however, vary according to the buildup/washoff parameters, explained by a sensitivity analysis. Climate change does not affect the bioretention quantitative efficiency very much: 81.7% from 1980 to 1999 to 81.4% and 81.3% from 2080 to 2099 for CPR scenarios 4.5 and 8.5. The pollutant removal efficiencies, as well as the washing, depend on buildup/washoff characteristics. One of the main consequences of climate change is a drop in the runoff quality. However, even with quantitative efficiency being maintained, bioretention is capable of mitigating this increase in the concentration of pollutants in urban drainage. Thus, the LID will help preserve the quality of downstream rivers, whose volumes will already have diminished by the decrease in rainfall volume.

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A Bayesian hierarchical model for spatial extremes with multiple durations

Wang

2016

Computational Statistics & Data Analysis

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Modeling precipitation of short duration by means of the modified Bartlett-Lewis rectangular pulse model

Cited by 4 publications

References 12 publications

Prediction vs. Performance of IDF Curves from Precipitation Data of Regional Climate Models for a Brazilian Coastal County

Prediction vs. Performance of IDF Curves from Precipitation Data of Regional Climate Models for a Brazilian Coastal County

Climate changes impacts on subtropical urban drainage with low impact developments

A Bayesian hierarchical model for spatial extremes with multiple durations

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