Chi Zhang

TL;DR: In this paper, the impacts of climate change and human activates on the runoff for Huifa River Basin, Northeast China, have been investigated with the soil and water assessment tool (SWAT), which is calibrated and verified for the baseline period 1956-1964, and then used to reconstruct the natural runoff from 1965 to 2005.

TL;DR: In this article, a variance-based global sensitivity analysis of the Soil and Water Assessment Tool (SWAT) using a case study of the Yichun River Basin, China, is presented.

TL;DR: The results of this study indicate that the six hybrid models perform better in the hindcast experiment compared with the original ANN and ARMA models, while the hybrid models in the forecast experiment perform worse than the original models.

TL;DR: In this article, a two-stage model for dynamic control of the flood-limited water level (the maximum allowed water level during the flood season, DC-FLWL) is established considering forecast uncertainty and acceptable flood risk.

TL;DR: This study confirms the previous finding that the benefit in hydropower generation gained from the use of a longer horizon of inflow forecasts is diminished due to higher uncertainty and reveals that thebenefit reduction can be substantially mitigated through explicit consideration of varying magnitudes of forecast uncertainties in the decision-making process.