水文预报不可避免地存在着输入, 水文模型参数和结构等不确定性, 导致预报结果也具有不确定
性. 因此, 定量估计水文预报的不确定性, 实现概率水文预报, 不仅可得到比确定性预报更高的 …

In semi-humid regions, accurate prediction of flood processes is challenging. The goal of
this study is to gain more insights into the runoff generation mechanism in semi-humid …

Multi-model ensembles enable assessment of model structural uncertainty across multiple
disciplines. Bayesian Model Averaging (BMA) is one of the most popular ensemble …

The movement of water flow usually has history and path dependence. Fractional calculus is
very suitable for describing the process with memory and hereditary properties. In this study …

It is necessary to analyze the future runoff changes using a more realistic climate
classification scheme. This paper investigates the climate changes and runoff variation by …

Numerous potential contaminated sites in China pose a substantial risk to human health and
the local ecology. Thus, there is an urgent need to prioritize and further investigate potential …

Uncertainties in flood forecasts are inevitable, and the key issue is to develop probabilistic
predictions so that the predictive uncertainty (PU) bounds can be estimated. We develop …

Root zone soil moisture plays an important role in water storage in hydrological processes.
The recently launched Soil Moisture Active Passive (SMAP) mission has produced a high …

Although hydrological models play an essential role in managing water resources,
quantifying different sources of uncertainties is a challenging task. In this study, the …

Low-quality input data (such as sparse rainfall gauges, low spatial resolution soil type and
land use maps) have limited the application of physically-based distributed hydrological …