Flood forecasting in semiarid regions is always poor, and a single-criterion assessment provides limited information for decision making. Here, we propose a multicriteria assessment framework (FCRA) to assess the most striking feature of an event-based flood – the peak flow. One hundred flood events are modeled in the middle Yellow River with four hydrological models. Our results show that the FCRA may help decision makers improve their diagnostic abilities in the early flood warning process.

A approach for non-stationary hydrological frequency analysis is proposed. In this method, an assumption is done that the variation hydrological series in a big time window owns an expected vibration center (EVC), which is a linear combination of the two mean values of the two subsample series. Then using the EVC to reconstruct non-stationary series to meet the requirement of stationary.