Dr Shasha Han

School of Geography, Earth and Environmental Sciences
Lecturer in Hydrology and Water Resources

Dr Shasha Han is a Lecturer in Physical Geography (Hydrology and Water Resources) in the School of Geography, Earth and Environmental Sciences. Her research mainly focuses on two interlinked themes: 1) Improving probabilistic flood forecasts and flood plain mapping using advanced techniques; 2) Investigating changes in floods over time in the context of changing climate and land cover and assessing the associated uncertainty.

Dr Han is passionate about hydroclimatic extremes, flood non-stationarity, hydrologic modelling, flood forecasting, climate change impacts, uncertainty analysis, urban hydrology, and data science.

Google scholar: https://scholar.google.com/citations?user=iLEMlf0AAAAJ&hl=en&oi=ao

ORCID: https://orcid.org/0000-0002-0525-8559


PhD in Hydrology and Water Resources – McMaster University, 2019

MSc in Environmental Science – Beijing Normal University, 2014


Dr Shasha Han completed her PhD at the McMaster University, Canada, in 2019. Her work at McMaster include probabilistic flood forecasting using advanced Bayesian techniques, development of a Canadian adaptive flood forecasting and early warning system, and probabilistic floodplain mapping under climate change. Prior to joining the University of Birmingham, she worked as a research associate at the University of Oxford, focusing on investigation of the impacts of urbanisation on river flooding in the UK.


Hydrology and Geomorphology (UG Y2)

Field Course (UG Y2)

Dissertation Supervision

Postgraduate supervision

Dr Shasha Han welcomes enquiries from prospective students in her areas of interests.

Other activities

Journal Reviewer for Water Resources Research, Journal of Hydrometerology, Journal of Hydrologic Engineering, Hydrology Research, and Monthly Weather Review

Deputy EVS Admissions Tutor


Han, S.,* Slater, L.J., Wilby, R.L., Faulkner, D. Contribution of Urbanisation to Non-stationary River Flow in the UK. Journal of Hydrology, under review.

Han, S.,* & Coulibaly, P. Assessing the effects of input and model type on Bayesian ensemble uncertainty processor. Journal of Hydrology, under revision.

Zahmatkesha, Z.,* Han, S., Coulibaly, P. (2021). Understanding uncertainty in probabilistic floodplain mapping in the time of climate change. MDPI – Water, 13(9), 1248.

Slater, L., Anderson, B., Buechel, M., Dadson, S., Han, S., et al. (2020). Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management. Hydrology and Earth System Sciences Discussions, 1-54.

Han, S.,* & Coulibaly, P. (2019). Probabilistic flood forecasting using hydrologic uncertainty processor with ensemble weather forecasts. Journal of Hydrometeorology, 20(7), 1379-1398.

Han, S.,* Coulibaly, P., & Biondi, D. (2019). Assessing hydrologic uncertainty processor performance for flood forecasting in a semiurban watershed. Journal of Hydrologic Engineering, 24(9), 05019025.

Han, S.,* & Coulibaly, P. (2017). Bayesian flood forecasting methods: A review. Journal of Hydrology, 551, 340-351. 

Zhao, Y.,* Han, S., et al. (2015). Comparative study of heavy metals in “soil-wheat” system between sewage-irrigated area and clean water-irrigated area in suburban Beijing. Journal of Environmental Health, 77(6), 28-34. 

Zhou, L., Zhao, Y.,* Wang, S., Han, S., et al. (2015). Lead in the soil–mulberry (Morus alba L.)–silkworm (Bombyx mori) food chain: Translocation and detoxification. Chemosphere, 128, 171-177. 

Zhao, Y.,* Mao, G., Han, S., et al. (2015). Effect of nanomaterials on heavy metal transport in alkaline soil. Soil and Sediment Contamination, 24(6), 694-703.

View all publications in research portal