Bibliografías temáticas / Bivariate frequency analysis

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Literatura académica sobre el tema "Bivariate frequency analysis"

Autor: Grafiati
Publicado: 10 de marzo de 2023

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Artículos de revistas sobre el tema "Bivariate frequency analysis"

1

Stamatatou, Nikoletta, Lampros Vasiliades, and Athanasios Loukas. "Bivariate Flood Frequency Analysis Using Copulas." Proceedings 2, no. 11 (2018): 635. http://dx.doi.org/10.3390/proceedings2110635.

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Flood frequency estimation for the design of hydraulic structures is usually performed as a univariate analysis of flood event magnitudes. However, recent studies show that for accurate return period estimation of the flood events, the dependence and the correlation pattern among flood attribute characteristics, such as peak discharge, volume and duration should be taken into account in a multivariate framework. The primary goal of this study is to compare univariate and joint bivariate return periods of floods that all rely on different probability concepts in Yermasoyia watershed, Cyprus. Pairs of peak discharge with corresponding flood volumes are estimated and compared using annual maximum series (AMS) and peaks over threshold (POT) approaches. The Lyne-Hollick recursive digital filter is applied to separate baseflow from quick flow and to subsequently estimate flood volumes from the quick flow timeseries. Marginal distributions of flood peaks and volumes are examined and used for the estimation of typical design periods. The dependence between peak discharges and volumes is then assessed by an exploratory data analysis using K-plots and Chi-plots, and the consistency of their relationship is quantified by Kendall’s correlation coefficient. Copulas from Archimedean, Elliptical and Extreme Value families are fitted using a pseudo-likelihood estimation method, verified using both graphical approaches and a goodness-of-fit test based on the Cramér-von Mises statistic and evaluated according to the corrected Akaike Information Criterion. The selected copula functions and the corresponding joint return periods are calculated and the results are compared with the marginal univariate estimations of each variable. Results indicate the importance of the bivariate analysis in the estimation of design return period of the hydraulic structures.
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2

Flamant, Julien, Nicolas Le Bihan, and Pierre Chainais. "Time–frequency analysis of bivariate signals." Applied and Computational Harmonic Analysis 46, no. 2 (2019): 351–83. http://dx.doi.org/10.1016/j.acha.2017.05.007.

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Mirakbari, M., A. Ganji, and S. R. Fallah. "Regional Bivariate Frequency Analysis of Meteorological Droughts." Journal of Hydrologic Engineering 15, no. 12 (2010): 985–1000. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000271.

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Ziller, M., K. Frick, W. M. Herrmann, S. Kubicki, I. Spieweg, and G. Winterer. "Bivariate Global Frequency Analysis versus Chaos Theory." Neuropsychobiology 32, no. 1 (1995): 45–51. http://dx.doi.org/10.1159/000119211.

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5

Shiau, Jenq-Tzong, Hsin-Yi Wang, and Chang-Tai Tsai. "BIVARIATE FREQUENCY ANALYSIS OF FLOODS USING COPULAS1." Journal of the American Water Resources Association 42, no. 6 (2006): 1549–64. http://dx.doi.org/10.1111/j.1752-1688.2006.tb06020.x.

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Joo, Kyung-Won, Ju-Young Shin, and Jun-Haeng Heo. "Bivariate Frequency Analysis of Rainfall using Copula Model." Journal of Korea Water Resources Association 45, no. 8 (2012): 827–37. http://dx.doi.org/10.3741/jkwra.2012.45.8.827.

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7

Razmkhah, Homa, Alireza Fararouie, and Amin Rostami Ravari. "Multivariate Flood Frequency Analysis Using Bivariate Copula Functions." Water Resources Management 36, no. 2 (2022): 729–43. http://dx.doi.org/10.1007/s11269-021-03055-3.

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8

Dong, N. Dang, V. Agilan, and K. V. Jayakumar. "Bivariate Flood Frequency Analysis of Nonstationary Flood Characteristics." Journal of Hydrologic Engineering 24, no. 4 (2019): 04019007. http://dx.doi.org/10.1061/(asce)he.1943-5584.0001770.

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9

Volpi, E., and A. Fiori. "Design event selection in bivariate hydrological frequency analysis." Hydrological Sciences Journal 57, no. 8 (2012): 1506–15. http://dx.doi.org/10.1080/02626667.2012.726357.

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10

Zhang, L., and V. P. Singh. "Bivariate Flood Frequency Analysis Using the Copula Method." Journal of Hydrologic Engineering 11, no. 2 (2006): 150–64. http://dx.doi.org/10.1061/(asce)1084-0699(2006)11:2(150).

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