Dr Shasha Han

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 three interlinked themes: 1) Enhancing probabilistic flood forecasts, flood inundation mapping, and advancing the modelling of hydroclimatic extremes with reduced uncertainty; 2) Investigating changes in floods (e.g. magnitude, frequency, timing, and flashness) over time in the changing world and attributing the drivers (e.g. climate, land use, and pre-flood conditions) behind these changes; and 3) Advancing our theoretical understanding of hydrological processes considering both natural dynamics and the impacts from human activities.

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 (DTP): Towards the next generation probabilistic flood forecasting system for the UK (01/04/2024 – 21/10/2027)

NERC Doctor Training Partnerships (DTP): Flood futures: how is flood risk 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)

Recent publications

Article

Riazi, M, Khosravi, K, Samani, MR, Han, S & Eslamian, S 2024, 'Assessing groundwater drought vulnerability through baseflow separation and index-based analysis under climate change projections', Groundwater for Sustainable Development , vol. 25, 101179. https://doi.org/10.1016/j.gsd.2024.101179

Han, S, Slater, LJ, Wilby, RL & Faulkner, D 2022, 'Contribution of urbanisation to non-stationary river flow in the UK', Journal of Hydrology, vol. 613, no. Part A, 128417. https://doi.org/10.1016/j.jhydrol.2022.128417

Zahmatkesh, Z, Han, S & Coulibaly, P 2021, 'Understanding uncertainty in probabilistic floodplain mapping in the time of climate change', Water, vol. 13, no. 9, 1248. https://doi.org/10.3390/w13091248

Han, S, Coulibaly, P & Biondi, D 2019, 'Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed', Journal of Hydrologic Engineering. https://doi.org/10.1061/(asce)he.1943-5584.0001828

Han, S & Coulibaly, P 2019, 'Probabilistic Flood Forecasting Using Hydrologic Uncertainty Processor with Ensemble Weather Forecasts', Journal of Hydrometeorology. https://doi.org/10.1175/jhm-d-18-0251.1

Han, S & Coulibaly, P 2017, 'Bayesian flood forecasting methods: A review', Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2017.06.004

Zhao, Y, Han, S, Chen, Z, Liu, J & Hu, H 2015, 'Comparative study of heavy metals in "soil-wheat" systems between sewage-irrigated areas and clean-water-irrigated areas in suburban Beijing', Journal of Environmental Health.

Zhao, Y, Mao, G, Han, S & Gao, L 2015, 'Effect of Namomaterials on Heavy Metal Transport in Alkaline Soil', Soil and Sediment Contamination. https://doi.org/10.1080/15320383.2015.1001057

Zhou, L, Zhao, Y, Wang, S, Han, S & Liu, J 2015, 'Lead in the soil–mulberry (Morus alba L.)–silkworm (Bombyx mori) food chain: Translocation and detoxification', Chemosphere. https://doi.org/10.1016/j.chemosphere.2015.01.031

Conference contribution

Han, S & Slater, L 2021, Projecting future streamflow under changing climate and urban land cover across the UK. in EGU General Assembly 2021., EGU21-3084, European Geosciences Union, EGU General Assembly 2021, 19/04/21. https://doi.org/10.5194/egusphere-egu21-3084

Han, S 2018, Performance of Hydrologic Uncertainty Processor with Ensemble Weather Forecasts Used in Flood Forecasting. in AGU Fall Meeting 2018., H31A-04.

Han, S 2017, Uncertainty Estimation through Bayesian Forecasting System: A Case Study. in 2017 World Environmental & Water Resources Congress.

Review article

Slater, LJ, Anderson, B, Buechel, M, Dadson, S, Han, S, Harrigan, S, Kelder, T, Kowal, K, Lees, T, Matthews, T, Murphy, C & Wilby, RL 2021, 'Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management', Hydrology and Earth System Sciences, vol. 25, no. 7, pp. 3897–3935. https://doi.org/10.5194/hess-25-3897-2021

View all publications in research portal