Comparison of nonstationary generalized logistic models based on Monte Carlo simulation
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-06-01
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| Series: | Proceedings of the International Association of Hydrological Sciences |
| Online Access: | https://www.proc-iahs.net/371/65/2015/piahs-371-65-2015.pdf |
| Summary: | 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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| ISSN: | 2199-8981 2199-899X |