Zhangkang Shu

Zhangkang Shu is a visiting scholar in Heidelberg University. His research focuses on ecohydrological simulation and projection in a changing environment. He received a master’s degree in Hydrology and Water Resources from Nanjing Hydraulic Research Institute in June 2021. Currently, he is a joint PhD. student of Sichuan University and Nanjing Hydraulic Research Institute. In October 2023, he joined the research group of Hydrology and Climatology at the Institute of Geography as a visiting scholar.

Research interests

• Evapotranspiration theory and ecohydrology processes
• Hydrological models and uncertainties
• Regional water balance under natural and human interaction
• Extreme hydrometeorological hazards and risks management

Research projects

• Climate change and water security (Innovation Research Group Project of National Natural Science Foundation of China)
• Regional water balance mechanism and water resources security assessment (National key R & D Program Project)
• Coupling Meteorological and hydrological models for ensemble runoff forecasting and its uncertainty (National Natural Science Foundation of China)

Publications

• Zhangkang Shu, Jianyun Zhang, Lin Wang, et al. Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting. Engineering, 2022. https://doi.org/10.1016/j.eng.2022.06.007.
• Zhangkang Shu, You Zhou, Jianyun Zhang, et al. Parameter regionalization based on machine learning optimizes the estimation of reference evapotranspiration in data deficient area. Science of the Total Environment, 2022. https://doi.org/10.1016/j.scitotenv.2022.157034.
• Zhangkang Shu, Jianyun Zhang, Junliang Jin, et al. Evaluation and Application of Quantitative Precipitation Forecast Products for Mainland China Based on TIGGE Multimodel Data. Journal of hydrometeorology, 2021. https://doi.org/10.1175/JHM-D-20-0004.1.
• Lin Wang, Jianyun Zhang, Zhangkang Shu, et al. Assessment of future eco-hydrological regime and uncertainty under climate changes over an alpine region. Journal of Hydrology, 2023. https://doi.org/10.1016/j.jhydrol.2023.129451.
• Zhangkang Shu, Wenxin Li, Jianyun Zhang, et al. Historical Changes and Future Trends of Extreme Precipitation and High Temperature in China. Strategic Study of Chinese Engineering, 2023,24(05):116-125.
• Junliang Jin, Zhangkang Shu*, Min Chen, et al. Meteor-hydrological coupled runoff forecasting based on numerical weather prediction products. Advances in Water Science, 2019, 30(03):316-325. (in Chinese)