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The Evaluation of Regional Frequency Analyses Methods for Nonstationary Data : Volume 371, Issue 371 (12/06/2015)

By Nam, W.

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Book Id: WPLBN0004021448
Format Type: PDF Article :
File Size: Pages 4
Reproduction Date: 2015

Title: The Evaluation of Regional Frequency Analyses Methods for Nonstationary Data : Volume 371, Issue 371 (12/06/2015)  
Author: Nam, W.
Volume: Vol. 371, Issue 371
Language: English
Subject: Science, Proceedings, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Kim, S., Joo, K., Kim, H., Heo, J., & Nam, W. (2015). The Evaluation of Regional Frequency Analyses Methods for Nonstationary Data : Volume 371, Issue 371 (12/06/2015). Retrieved from http://worldlibrary.in/


Description
Description: School of Civil and Environmental engineering, Yonsei University, Seoul, Korea. Regional frequency analysis is widely used to estimate more reliable quantiles of extreme hydro-meteorological events. The stationarity of data is required for its application. This assumption tends to be violated due to climate change. In this paper, four nonstationary index flood models were used to analyze the nonstationary regional data. Monte Carlo simulation was used to evaluate the performances of these models for the generalized extreme value distribution with linearly time varying location parameter and constant scale and shape parameters. As a results, it was found that the index flood model with time-invariant index flood and time-variant growth curve could yield more statistically efficient quantile when record is long enough to show significant nonstationarity.

Summary
The evaluation of regional frequency analyses methods for nonstationary data

Excerpt
Cunderlik, J. M. and Burn, D. H.: Non-stationary pooled flood frequency analysis, J. Hydrol., 276, 210–223, 2003.; Cunderlik, J. M. and Ouarda, T.: Regional flood-duration-frequency modeling in the changing environment, J. Hydrol., 318, 276–291, 2006.; Leclerc, M. and Ouarda, T.: Non-stationary regional flood frequency analysis at ungauged sites, J. Hydrol., 343, 254–265, 2007.; Hanel, M., Buishand, T. A., and Ferro, C. A. T.: A nonstationary index flood model for precipitation extremes in transient regional climate model simulations, J. Geophys. Res., 114, D15107, doi:10.1029/2009JD011712, 2009.; O'Brien, N. L. and Burn, D. H.: A nonstationary index-flood technique for estimating extreme quantiles for annual maximum streamflow, J. Hydrol., 519, 2040–2048, 2014.

 

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