Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/345079
Type: Artigo
Title: Derivation of design rainfall and disaggregation process of areas with limited data and extreme climatic variability
Author: Boulomytis, V. T. G.
Zuffo, A. C.
Imteaz, M. A.
Abstract: In a sustainable urbanisation process, the infrastructure has to be designed taking into consideration the hydrological behaviour of the respective catchment. It is mandatory to predict the climatic events accurately to understand the hydrological impacts of urban developments. It is very challenging for hydrologists to model extreme events when there are limited data available. The current study proposed a methodology to calculate the design rainfalls in the coastal region of Sao Paulo, Brazil. The gamma-function distribution used the annual maximum daily rainfalls in a probabilistic approach. The achieved 24-h-design rainfalls were compared to the results from other intensity–duration–frequency equations in different time-series. The rainfall disaggregation used regional and national conversion ratios. The fluctuation of the annual maxima revealed that the study area was affected by the Noah and Joseph erratic processes. Subsequently, the detected extreme event time-series were also used for the derivation of the 24-h-design rainfalls. The outcomes of the study showed that the gamma-function distribution provides reliable results, enhanced by the use of representative disaggregation ratios and proper time-series
Subject: Precipitação (Meteorologia)
Climatologia
Country: Irã
Editor: University of Tehran
Rights: Fechado
Identifier DOI: 10.1007/s41742-018-0079-x
Address: https://link.springer.com/article/10.1007/s41742-018-0079-x
Date Issue: 2018
Appears in Collections:FEC - Artigos e Outros Documentos

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