Articles | Volume 371
Proc. IAHS, 371, 65–68, 2015
https://doi.org/10.5194/piahs-371-65-2015
Proc. IAHS, 371, 65–68, 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 S. Kim et al.
  • School of Civil and Environmental engineering, Yonsei University, Korea

Abstract. Recently, the evidences of climate change have been observed in hydrologic data such as rainfall and flow data. The time-dependent characteristics of statistics in hydrologic data are widely defined as nonstationarity. Therefore, various nonstationary GEV and generalized Pareto models have been suggested for frequency analysis of nonstationary annual maximum and POT (peak-over-threshold) data, respectively. However, the alternative models are required for nonstatinoary frequency analysis because of analyzing the complex characteristics of nonstationary data based on climate change. 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.

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Short summary
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.