A Monte Carlo experiment was carried out to assess the performance of the proposed combination (EFC and CEC) methods. In order to describe the correlation between *Q* and *W*, the parameter of G–H copula is taken to be *θ* = 2.98, while the Kendall correlation coefficient is 0.66. In order to test the validation of the experiment method, 10,000 samples of flood pair (*Q*-*W*) were generated and the statistic values calculated based on the simulated data and given in Table 7. The Kendall correlation coefficient of the simulated samples was also calculated as 0.63. It can be seen that there is no significant difference between the generated and observed values. Thus, the generated samples could be used for statistical testing hereafter.

Table 7

Variables . | Sample statistic values . | ||
---|---|---|---|

Mean . | C_{v}
. | C_{s}
. | |

Q (m_{p}^{3}/s) | 7,803 | 0.39 | 1.18 |

W_{7} (10^{8}m^{3}) | 16.75 | 0.48 | 1.47 |

Variables . | Sample statistic values . | ||
---|---|---|---|

Mean . | C_{v}
. | C_{s}
. | |

Q (m_{p}^{3}/s) | 7,803 | 0.39 | 1.18 |

W_{7} (10^{8}m^{3}) | 16.75 | 0.48 | 1.47 |

This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy.