Background
Hanjiang River (the longest branch of Yangtze River) basin is an important water resource for the SNWTP (South-to-North Water Transfer Project) in China. For the safety and efficiency of middle route of SNWTP, it is essential to develop technologies for long lead-time streamflow forecasting of Hanjiang River.
Currently the long lead-time streamflow forecasting is mainly based on streamflow auto-correlations and hydro-climatic teleconnections using machine learning models and statistic models. However, few of these models consider the physical mechanism of hydrological phenomena. In fact, if we want to consider both statistical models and hydrological models, we can use Ensemble Streamflow Prediction (ESP) method which has been widely used for long-term flow forecasting.
Contents
Background (This page)
Distributed Hydrological Model (GBHM) in Hanjiang River
ESP Method based on Long-term Rainfall Forecast
References
Prediction of Monthly Inflow to the Danjiangkou Reservoir based on Distributed Hydrological Model and Hydro-climatic Teleconnections
- HE Xiaogang, ZHAO Tongtiegang, YANG Dawen