Hydrogeography; Hydrology and Water Resources

[1] Spatiotemporal patterns and driving mechanisms of terrestrial water cycle processes, with a focus on streamflow, evapotranspiration, infiltration, and soil moisture movement.

[2] Modeling terrestrial water cycle processes using multi-source data, including hydrological models, land surface models, Earth system models and artificial intelligence algorithms.

[3] Interactions between regional water cycle changes and the operation of water infrastructure systems, such as reservoirs, levees, water withdrawal, water diversion, and soil and water conservation engineering.

   

[1] Spatiotemporal patterns and driving mechanisms of terrestrial water cycle processes, with a focus on streamflow, evapotranspiration, infiltration, and soil moisture movement.

[2] Modeling terrestrial water cycle processes using multi-source data, including hydrological models, land surface models, Earth system models and artificial intelligence algorithms.

[3] Interactions between regional water cycle changes and the operation of water infrastructure systems, such as reservoirs, levees, water withdrawal, water diversion, and soil and water conservation engineering.

Sept 2015 – June 2021

Ph.D. in Physical Geography

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

Sept 2011 – June 2016

B.S. in Human Geography

Beijing Normal University, Beijing, China

2021.07 – 2023.12

Postdoctoral Fellow

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

2023.12 – 2025.12

Assistant Professor

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

2025.12 – Present

Associate Professor

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

[1] Wang, K., Liu, X.*, Cui, P., Zhang, Y., Xie, J., Liu, C., & Gosling, S. N. (2025). China’s nationwide streamflow decline driven by landscape changes and human interventions. Science Advances, 11(32), eadu8032.

[2] Wang, K., Bai, P.*, & Liu, X. (2025). Three paradoxes related to potential evapotranspiration in a warming climate. Current Climate Change Reports, 11(1), 6.

[3] Yu, J., Wang, K.*, Li, Y., Li, X., Jiang, H., Luo, Q., Liu, C., & Liu, X. (2026). Q-CLASS: an observation-based reconstruction dataset for streamflow at China’s large dam sites. Journal of Hydrology, 135499.

[4] Li, X., Wang, K.*, Luo, Q., Wang, G., Lu, Y., Jiang, H., Yu, J., Liu, C., & Liu, X. (2026). Attribution of interannual runoff magnitude and variability in China’s large reservoir drainage areas using global hydrological Models. Journal of Hydrology, 134953.

[5] Li, X., Wang, K.*, Liu, C., Zhao, G., Jiang, Z., Luo, Q., Wang, G., Zhang, D., Yu, J., & Liu, X. (2025). Exacerbating hydrological extremes in china’s large reservoir drainage areas. Journal of Hydrology, 659, 133297.

[6] Wang, K., Liu, X.*, Liu, C., Yang, X., Bai, P., Li, Y., & Pan, Z. (2019). The unignorable impacts of pan wall on pan evaporation dynamics. Agricultural and Forest Meteorology, 274, 42-50.

[7] Wang, K., Liu, X.*, Tian, W., Li, Y., Liang, K., Liu, C., Li, Y., & Yang, X. (2019). Pan coefficient sensitivity to environment variables across China. Journal of Hydrology, 572, 582-591.

[8] Wang, K., Liu, X.*, Li, Y., Yang, X., Bai, P., Liu, C., & Chen, F. (2019). Deriving a long-term pan evaporation reanalysis dataset for two Chinese pan types. Journal of Hydrology, 579, 124162.

[9] Wang, K., Liu, X.*, Li, Y., Liu, C., & Yang, X. (2018). A generalized evaporation model for Chinese pans. Journal of Geophysical Research: Atmospheres, 123(19), 10-943.

[10] Wang, K., Yang, X.*, Liu, X., & Liu, C. (2017). A simple analytical infiltration model for short-duration rainfall. Journal of Hydrology, 555, 141-154.