Articles | Volume 371
https://doi.org/10.5194/piahs-371-65-2015
https://doi.org/10.5194/piahs-371-65-2015
12 Jun 2015
 | 12 Jun 2015

Comparison of nonstationary generalized logistic models based on Monte Carlo simulation

S. Kim, W. Nam, H. Ahn, T. Kim, and J.-H. Heo

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The evaluation of regional frequency analyses methods for nonstationary data
W. Nam, S. Kim, H. Kim, K. Joo, and J.-H. Heo
Proc. IAHS, 371, 95–98, https://doi.org/10.5194/piahs-371-95-2015,https://doi.org/10.5194/piahs-371-95-2015, 2015
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Cited articles

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Hosking, J. R. M. and Wallis, J. R.: Regional frequency analysis: an approach based on L-moments, Cambridge University Press, 1997.
Institute of Hydrology: Flood Estimation Handbook, Willingford, UK, 1999.
Jain, S. and Lall, U.: Magnitude and timing of annual maximum floods: Trends and large-scale climatic associations for the Blacksmith Fork river, Utah, Water Resour. Res., 36, 3641–3651, 2000.
Jain, S. and Lall, U.: Floods in a changing climate: Does the past represent the future?, Water Resour. Res., 37, 3193–3205, 2001.
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This study proposed the nonstationary generalized logistic model including time-dependent parameters. The parameters of proposed model are estimated using the method of maximum likelihood based on the Newton-Raphson method. In addition, the proposed model is compared by Monte Carlo simulation to investigate the characteristics of models and applicability.