- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Climate variability and models
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Water resources management and optimization
- Hydrological Forecasting Using AI
- Climate change impacts on agriculture
- Plant Water Relations and Carbon Dynamics
- Plant responses to water stress
Changjiang Water Resources Commission
2023-2024
Wuhan University
2020-2022
The common strategy for real-time streamflow forecasting involves a precalibrated rainfall-runoff model simulation together with statistical postprocessing of errors updating simulated streamflow. Recognizing both autocorrelation and heteroscedasticity inherent in the models, autoregressive-generalized autoregressive conditional (AR-GARCH) is introduced as this study, which AR used to forecast mean process errors, GARCH variance errors. For investigating how well incorporating exogenous...
Hanjiang River basin (HRB), China. Understanding the transmission of hydrological drought along river networks is extreme importance for monitoring, forewarning, and mitigation drought. However, it extremely difficult to do so under situation complex networks, particularly in presence spatially distributed reservoirs. Taking advantage reasoning information within a hierarchical network structure, this study proposed nonstationary standardized streamflow index (NSSIrn) clarify...
<p><br>Change detection and attribution of water cycle are increasingly crucial for promoting society‘s capacity to embed adaptation planning confronting both climate change anthropogenic forces at catchment scale. Nevertheless, current researches either neglect the difference between internal variability (including external radiative forcing) or don’t consider different activities (e.g. land use changes, reservoir operation...