Summary of flood-frequency analysis in the United States

Kirby, W.; Moss, Marshall E.

doi:10.1016/0022-1694(87)90139-9

Cited by 39 publications

(25 citation statements)

References 23 publications

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“…A large variety of distributions have been investigated for application to flood data (Kirby & Moss, 1987;UNESCO, 1987;Cunane, 1989;Bobee et al, 1993;Harktanir & Horlacher, 1993;Ashkar, 1996). Some distributions will be more appropriate for some rivers than for others.…”

Section: Flood Frequency Analysis Methodsmentioning

confidence: 98%

Quantifying hydrologic impacts following dam construction along the Tana River, Kenya

Maingi

Marsh

2002

Journal of Arid Environments

209

136

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Section: Flood Frequency Analysis Methodsmentioning

confidence: 98%

Quantifying hydrologic impacts following dam construction along the Tana River, Kenya

Maingi

Marsh

2002

Journal of Arid Environments

209

136

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“…Both CEVD and MCEVD have the following advantages: instead of traditional annual maximum data sampling, the typhoon process maximum data sampling is used; and the typhoon frequency is used in the models. In view of the ''summary of flood frequency analysis in the United States…the combination of the event-based and joint probability approaches promises to yield significantly improved descriptions of the probability laws of extraordinary floods'' (Kirby and Moss 1987). MCEVD is the model that follows the development direction of the extraordinary floods prediction, as desired by Kirby and Moss.…”

Section: Historical Review Of Typhoon Disasters In Chinamentioning

confidence: 99%

“…During the past 27 years, CEVD and MCEVD have been applied to more than 40 coastal, offshore, and hydraulic projects in China and abroad. The theory of CEVD is also referenced by some foreign experts (Ochi 1982;Langley and El-Shaarawi 1986;Kirby and Moss 1987). This method is also used in some uniform university textbooks edited by Ministry of Education of China.…”

Section: Historical Review Of Typhoon Disasters In Chinamentioning

confidence: 99%

Typhoon disaster in China: prediction, prevention, and mitigation

2009

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Typhoon-induced disaster is one of the most important factors influencing the economic development and more than 250 million in China. In view of the existing state of typhoon disaster prediction, prevention, and mitigation, this paper proposes a new probability model, Multivariate Compound Extreme Value Distribution (MCEVD), to predict typhoon-induced extreme disaster events. This model establishes prevention criteria for coastal areas, offshore structures, and estuarine cities, and provides an appropriate mitigation scheme for disaster risk management and decision-making.

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“…더욱이 홍수의 공간적 해석 은 홍수방어, 침수, 설계, 수자원의 운영 등에매우 중요하며, 이는홍수발생 해석공간의다양성을활용하여 홍수빈도치의 공간적인정보를얻을수있다. 이를위한홍수량자료는정상 성을 가정하고, 자료기록기간이 길어야 해석의 정밀성을 얻 는다 (Kirby and Moss, 1987). 또한 유역규모에 따라 유역의 특성을나타내기위해유역내여러지점의충분한기간자료 가필요하다 (Petrowand Merz, 2009).…”

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Simulation Conditions based Characteristics of Spatial Flood Data Extension

Kim¹,

Jung²,

Lee³

2014

Journal of Korea Water Resources Association

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The effects of initial conditions and input values of the rainfall-runoff model were studied in the applications of a lumped concept model for flood event data extension. For the initial conditions of the rainfall-runoff model, baseflow effects and spatial distributions of saturation points(Rsa) for the storage function methods(SFM) were analyzed. In addition, researches on the effects of rainfall data conditions as input values for the rainfall-runoff model were performed. The Chungju Damwatershed was selected and divided into 3 catchments including smaller size of 22 sub-catchments. The observed discharge and inflow amounts at Yeongwol 1, Chungju Dam, and Yeongwol 2 water level stations were individually operated as criteria for flood data extension in 30 flood events from 1993 to 2009. Direct and base flow were distinguished from a stream flow. In order to test capability of flood data extension, obtained base flow was applied to the rainfall-runoff model for three water l evel stati ons. When base fl owwas adopted i n the model , the Nash-Sutcliffe Effi ciency(NSE) was increased. The numbers of over satisfaction for model performance(>0.5) were increased over 10%. Saturation points(Rsa) which strongly influence the runoff amount when rainfall starts were optimized based on the runoff amount at three water level stations. The sizes of saturation points for three locations were similar which means saturation point size is not depending on the runoff amount. The effects of rainfall information for flood runoff were tested at 2002ev1 and 2008ev1. When increased the amount of rainfall information, the runoff simul ations were cl oser to the simulations with full of rainfall information. However, the size of improvement was not substantial on rainfall-runoff simulations in terms of the size of total amount of rainfall.

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Summary of flood-frequency analysis in the United States

Cited by 39 publications

References 23 publications

Quantifying hydrologic impacts following dam construction along the Tana River, Kenya

Quantifying hydrologic impacts following dam construction along the Tana River, Kenya

Typhoon disaster in China: prediction, prevention, and mitigation

Simulation Conditions based Characteristics of Spatial Flood Data Extension

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