Current Post: Lecturer in Hydrology and Climate Change Research

Room Number: CRU 01.01

Telephone: 01603 592091 (+44 1603 592091)

Fax: 01603 591327 (+44 1603 591327)

Email: yi.he@uea.ac.uk

Web Page: Personal web page

Publications: EPrints Digital Repository

Research Interests

General research interests:
1. Hydrosystems modelling including stochastic hydrology, hydro-meteorology, hydro-climatology, geostatistics, model output in risk-sensitive decision domains.
2. Prediction in ungauged catchments.
3. Fuzzy modelling.
4. Extreme value statistics.

Current research:
1. Development of Next generation Flood Prediction and Risk Assessment system including:
    i. flood risk mapping and visualisation,
    ii. high performance computing and web rendering,
    iii. meso-scale model uncertainty cascade for enhanced impact studies. 
2. Uncertainty in multi-model cascades
3. Ensemble prediction systems
4. Hydrosystems model output in adaptive and risk-averse decision-making processes


Biography

Yi received her B.Sc. in Environmental Engineering from the Faculty of Civil Engineering at Tianjin University, China in 1998 and M.Sc. in Water Resources Engineering & Management (WAREM) from the Institute of Hydraulic Engineering (IWS), Faculty of Civil and Environmental Engineering at the Universitaet Stuttgart, Germany in 2004.

From 1998 to 2001, she worked as a design engineer in both water and wastewater industries in China. She was involved in activities ranging from the design of municipal wastewater plants to reverse osmosis technology in drinking water treatment. From 2001 to 2005, she worked part-time at the Otto-Graf-Institute in Stuttgart, Germany as a scientific research assistant. She was involved in non-destructive testing (NDT) of wood in the German Research Foundation project, DFG-SFB 381. She worked on the application and evaluation of advanced experimental and numerical NDT tools. She developed an algorithm based on Adaptive Neural Network Fuzzy Inference noise filtering. The programme was used to automate the detection of Time-of-Flight (TOF) in NDT assessment of wood.

In October 2004, she was awarded a three-year scholarship by the German Federal Ministry of Education and Research (BMBF) to conduct her doctoral studies at the Institute of Hydraulic Engineering of the Universitaet Stuttgart. She worked on her Doktor der Ingenieurwissenschaften (Dr.-Ing.) from October 2004 to September 2007 when submitted a dissertation entitled ‘Application of a Non-parametric Classification Scheme to Catchment Hydrology’. The work was supervised by Prof. András Bárdossy.

She joined King’s College London in October 2007 as research associate and worked in ‘HydroClimate’ a three-year NERC funded project within the FREE (Flood Risk from Extreme Events) Programme. Along with colleagues, she initiated and secured funding for the project entitled Novel Early flood Warning and Risk Assessment System (NEWS), an advanced next-generation flood forecasting undertaken within the Innovation China UK programme.

She is a founding and board member (since 2007) of the Numerical Modelling and Policy Interface (NMPI) network, a global initiative dedicated to the development of methods and tools to address the disconnect between the development and use of numerical models in water and environmental management including policy formulation and analysis.
She convened the European Geosciences Union (EGU) 2010 session HS11.4/AS1.22/NH1.12 “Towards practical applications in ensemble hydro-meteorological forecasting”, Vienna, Austria, 02 – 07 May 2010 and is the lead Editor of the Special Volume in Advances in Geosciences.


Significant Publications

• He, Y., F. Wetterhall, H.-J. Bao, H.L. Cloke, Z.-J. Li, F. Pappenberger, Y.-Z. Hu, D. Manful, Y.-C. Huang (2010) Ensemble forecasting using TIGGE for the July-September 2008 floods in the Upper Huai catchment - a case study. Atmospheric Science Letters 11(2): 132-138. [Link]
• He, Y., F. Wetterhall, H.L. Cloke, F. Pappenberger, M. Wilson, J. Freer, and G. McGregor (2009) Tracking the uncertainty in flood alerts driven by grand ensemble weather predictions. Meteorological Applications 16(1): 91-101. [Link]
• Das T., Bárdossy A., Zehe E. and Y. He (2008) Comparison of model performance using different representations of spatial variability. Journal of Hydrology 356(1-2):106-118. doi:10.1016/j.jhydrol.2008.04.008. [Link]
• He, Y., Manful, D., Bárdossy, A., Dill-Langer, G., Ringger, T., and Aicher, S. (2004) Fuzzy Logic Based De-Noising of Ultrasound Signals from Non-Destructive Testing. Otto-Graf–Journal. 103-119. ISSN 0938-409X [Link]

Page last updated 25 October 2011