Research output per year
Research output per year
Personal profile
Research interests
Dr Shasha Han is an Assistant Professor in Physical Geography (Hydrology and Water Resources) in the School of Geography, Earth and Environmental Sciences (GEES) at the University of Birmingham (UoB). Her research mainly focuses on two interlinked themes: 1) Improving probabilistic flood forecasts and floodplain mapping using advanced techniques; and 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, climate extremes and health, and data science.
Google Scholar | ORCID | Twitter: @DrShashaHan
A selection of involved funded research projects:
NERC Doctor Training Partnerships: Flood futures: how is the risk of flood hazards evolving in the UK? (25/09/2023 – 30/04/2027)
NIHR RIGHT5 grant (£3M): Improving primary healthcare for patients with non-communicable diseases during severe flooding in India (01/01/2024 – 31/12/2028)
John Fell Fund: The impacts of urbanisation on river flooding (10/09/2020 - 17/01/2022)
NSERC FloodNet Project (CAD $5M) Theme 3: Development of Canadian Adaptive Flood Forecasting and Early Warning System (01/09/2014 – 26/08/2019)
Biography
Dr Shasha Han completed her PhD at McMaster University (Canada). Her work at McMaster includes probabilistic flood forecasting using advanced Bayesian techniques, the development of a Canadian adaptive flood forecasting and early warning system (CAFFEWS), 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, where the focus was on investigating the impacts of urbanisation on river flooding and projecting river flows in the UK considering both urban expansion and climate change. Dr Han’s work at UoB expanded into various research areas, including projects related to flood non-stationarity, long-term flood projection, machine learning in hydrology, as well as flooding and health.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Contribution of urbanisation to non-stationary river flow in the UK
Han, S., Slater, L. J., Wilby, R. L. & Faulkner, D., Oct 2022, In: Journal of Hydrology. 613, Part A, 16 p., 128417.Research output: Contribution to journal › Article › peer-review
Open AccessFile25 Downloads (Pure) -
Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
Slater, L. J., Anderson, B., Buechel, M., Dadson, S., Han, S., Harrigan, S., Kelder, T., Kowal, K., Lees, T., Matthews, T., Murphy, C. & Wilby, R. L., 7 Jul 2021, In: Hydrology and Earth System Sciences. 25, 7, p. 3897–3935 39 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile44 Downloads (Pure) -
Projecting future streamflow under changing climate and urban land cover across the UK
Han, S. & Slater, L., 3 Mar 2021, EGU General Assembly 2021. European Geosciences Union, EGU21-3084Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile21 Downloads (Pure) -
Understanding uncertainty in probabilistic floodplain mapping in the time of climate change
Zahmatkesh, Z., Han, S. & Coulibaly, P., 29 Apr 2021, In: Water. 13, 9, 21 p., 1248.Research output: Contribution to journal › Article › peer-review
Open AccessFile106 Downloads (Pure) -
Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed
Han, S., Coulibaly, P. & Biondi, D., Jul 2019, In: Journal of Hydrologic Engineering.Research output: Contribution to journal › Article › peer-review