Calculation Higher Probability Weighted Moments for Generalized Extreme Value in Hydrology

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Abstract:

In flood frequency analysis, the observed data of the smaller censored flows have no influence on fitting frequency curve, and the final fitting still depends very mainly on the larger flows. It also exhibits two or more distinct segments. The higher probability weighted moments(HPWMS) showed its potential merit for these estimating flood samples. In this paper, a detail approximating calculation of the parameter for common generalized extreme value (GEV) distribution by HPWMS method is given. This method has no more complication procedures than traditional lower orders of probability weighted moments.

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Advanced Materials Research (Volumes 518-523)

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4015-4021

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. N. Phien, Tsu-Shang E. Fang. Journal of Hydrology. Vol 105 (1989), pp.139-155

Google Scholar

[2] J. A. Greenwood, J. M. Landwehr, N. C. Matalas and J. R. Wallis. Water Resources Research. Vol 15 (1979), pp.1049-1054

Google Scholar

[3] J. Deng and M. D. Pandey. Probabilistic Engineering Mechanics. Vol 24 (2009), pp.407-417

Google Scholar

[4] P. Prescott and A.T. Walden. Journal of Statistical Computation and Simulation. Vol 16 (1983), pp.241-250

Google Scholar

[5] Q. J. Wang. Journal of hydrology. Vol. 120 (1990a), pp.103-114

Google Scholar

[6] Q. J. Wang. Journal of hydrology. Vol. 120 (1990b), pp.115-124

Google Scholar

[7] Q. J. Wang. Water Resources Research. Vol.32 (1996), pp.1767-1771

Google Scholar

[8] Q. J. Wang. Journal of hydrology. Vol. 194 (1997), pp.95-106

Google Scholar