Developing intensity duration frequency curves based on scaling theory using linear probability weighted moments: A case study from India

Bairwa, Arvind; Khosa, Rakesh; Rathinasamy, Maheswaran

doi:10.1016/j.jhydrol.2016.09.056

Cited by 16 publications

(3 citation statements)

References 21 publications

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“…O comportamento das famílias de curvas com concavidade para baixo são observados em trabalhos anteriores feitos para o Ceará (Sobrinho et al, 2014) outras regiões brasileiras (Lorenzoni et. al, 2014;Souza et al, 2012) e também em regiões áridas ou semiáridas do globo (Elsebaie, 2012;Rodríguez et al, 2014;Bairwa et al, 2016). Tabela 1.…”

Section: Parametrização Das Curvas Idf E Da Erosividadeunclassified

Comportamento de chuvas intensas para bacia em região semiárida de Caatinga preservada

Rodrigues

Araújo

2019

Agraria

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RESUMO: Conhecer o comportamento das chuvas intensas é fundamental para planejamento de bacias hidrográficas, contudo demanda robustos bancos de dados pluviográficos, ainda escassos na região semiárida brasileira. O objetivo deste trabalho foi avaliar as curvas intensidade-duração-frequência (IDF) na Bacia Experimental de Aiuaba, Ceará. Com base em medições a cada 5min durante 16 anos (2003 a 2018) foram geradas curvas IDF para os períodos de 5min, 30min, 1h, 2h, 3h, 6h, 12h, 18h e 24h e calibrados os parâmetros da equação de Otto Pfafstetter para as curvas IDF da referida bacia. Da investigação pôde-se concluir que: as curvas IDF (inéditas para a região dos Inhamuns, CE) são compatíveis com os de outros estudos em regiões semiáridas e indicaram ser uma propriedade macrorregional; a erosividade indicou um valor máximo para chuvas de duração igual a 3 horas, sendo esse um efeito combinado de alta intensidade e alta energia cinética. Esta conclusão demanda um estudo mais aprofundado, ratificando a necessidade de modelos hidrológicos capazes de identificar de maneira mais precisa variações sub-diárias dos processos hidrológicos.

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Section: Parametrização Das Curvas Idf E Da Erosividadeunclassified

Comportamento de chuvas intensas para bacia em região semiárida de Caatinga preservada

Rodrigues

Araújo

2019

Agraria

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“…For investigating a temporal structure of extreme rainfalls, a scaling property has been widely used as the tool and index to represent the temporal structure of extreme rainfall [17][18][19][20][21]. Menabde et al [22] applied the simple scaling hypothesis to the intensity-duration-frequency (IDF) relationship of extreme rainfall and examined the scaling properties of the moments and the scaling of the parameters of the Gumbel distribution fit.…”

Section: Introductionmentioning

confidence: 99%

The Spatial and Temporal Structure of Extreme Rainfall Trends in South Korea

Jung

Shin

Ahn

et al. 2017

Water

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Abstract:The spatial and temporal structures of extreme rainfall trends in South Korea are investigated in the current study. The trends in the annual maximum rainfall series are detected and their spatial distribution is analyzed. The scaling exponent is employed as an index representing the temporal structure. The temporal structure of the annual maximum series is calculated and spatially analyzed. Subsequently, the block bootstrap based Mann-Kendall test is employed detect the trend in the scaling exponent series subsampled by the annual maximum rainfalls using a moving window. Significant trends are detected in a small number of stations and there are no significant trends in many stations for the annual maximum rainfall series. There is a large variability in the temporal structures of the extreme rainfall events. Additionally, the variations of the scaling exponent estimates for each month within a rainy season are larger than the variation of the scaling exponent estimates on an annual basis. Significant trends in the temporal structures are observed at many stations unlike the trend test results of annual maximum rainfall series. Decreasing trends are observed at many stations located in the coastal area, while increasing trends are observed in the inland area.

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“…However, only a few scaleinvariance models have been reported in the literature, including the scaling generalized extreme value (GEV) distribution and its special case, the scaling Gumbel (GUM) distribution [21][22][23][24]. These scaling models have been extensively applied to the estimation of short-duration ERs at gauged and ungauged sites, as well as to the construction of IDF curves in the current climate and in a changing climate [8,22,[24][25][26][27][28][29]. In practice, nonetheless, there are many different probability models that have been used for describing the distribution of annual rainfall extremes at a single site [30][31][32], but there is still no general agreement as to which distribution(s) should be used.…”

Section: Introductionmentioning

confidence: 99%

Scale-Invariance Generalized Logistic (GLO) Model for Estimating Extreme Design Rainfalls in the Context of Climate Change

Nguyen¹

EPiC Series in Engineering

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Statistical models based on the scale-invariance (or scaling) concept has increasingly become an essential tool for modeling extreme rainfall processes over a wide range of time scales. In particular, in the context of climate change these scaling models can be used to describe the linkages between the distributions of sub-daily extreme rainfalls (ERs) and the distribution of daily ERs that is commonly provided by global or regional climate simulations. Furthermore, the Generalized Logistic distribution (GLO) has been recommended in UK for modeling of extreme hydrologic variables. Therefore, the main objective of the present study is to propose a scaling GLO model for modeling ER processes over different time scales. The feasibility and accuracy of this model were assessed using ER data from a network of 21 raingages located in Ontario, Canada. Results of this assessment based on different statistical criteria have indicated the comparable performance of the proposed scaling GLO model as compared to other popular models in practice. Furthermore, an illustrative application of the proposed model for evaluating the climate change impacts on the ERs in Ontario using the available NASA downscaled regional climate simulations has demonstrated the accuracy and robustness of the GLO model.

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Developing intensity duration frequency curves based on scaling theory using linear probability weighted moments: A case study from India

Cited by 16 publications

References 21 publications

Comportamento de chuvas intensas para bacia em região semiárida de Caatinga preservada

Comportamento de chuvas intensas para bacia em região semiárida de Caatinga preservada

The Spatial and Temporal Structure of Extreme Rainfall Trends in South Korea

Scale-Invariance Generalized Logistic (GLO) Model for Estimating Extreme Design Rainfalls in the Context of Climate Change

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