Wei Ting

Northwest A & F University · Department of Water Resources and Environmental Engineering

Many current decomposition ensemble streamflow forecasting models have been incorrectly developed and their parameter solving methods are tedious, which undermines their application to forecasting in the real-world. This study, therefore, developed a time-varying stepwise decomposition ensemble (TV-SDE) framework for nonstationary and nonlinear str...

The Muskingum-based (MK-based) distributions and their probability weighted moments (PWMs) have been used for frequency calculation of hydrological data that contain zero values. However, the performance of different MK-based distributions have not been compared and evaluated. Moreover, the partial L-moments (PLMs), which are used for analyzing cen...

Hydrologic series in arid and semiarid areas often contain zero values. For such data, the unit impulse response function (irf) of a kinematic diffusion model and a Muskingum flood routing model have been employed as probability distribution functions for frequency analysis. However, the probability weighted moments (PWMs) of these distributions ha...

The principle of maximum entropy (POME) has been used for a variety of applications in hydrology, however it has not been used in confidence interval estimation. Therefore, the POME was employed for confidence interval estimation for precipitation quantiles in this study. The gamma, Pearson type 3 (P3), and extreme value type 1 (EV1) distributions...

Hydrological series lengths are decreasing due to decreasing investments and increasing human activities. For short sequences, a copula-based composite likelihood approach (CBCLA) has been employed to enhance the quality of hydrological design values. However, the Pearson type III (P-III) distribution for short annual precipitation records has not...