Dr Yurui Fan
Senior Lecturer in Flood and Coastal Engineering
Howell 246
- Email: yurui.fan@brunel.ac.uk
- Tel: +44 (0)1895 265717
- Civil and Environmental Engineering
- College of Engineering, Design and Physical Sciences
Summary
- Led/participated in research projects supported by industrial, governmental, and international organizations (e.g. Royal Society, Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation, Environment and Climate Change Canada, Saskatchewan Ministry of the Environment, Ontario Ministry of the Environment and Climate Change, Mitacs)
- Produced high-quality peer-reviewed papers published on Water Resources Research, Earth's Future, Hydrology and Earth System Sciences, Journal of Hydrology, Advances in Water Resources
- Areas of research interests include water and environmental systems analysis, hydroclimatic extremes, hydroinformatics, climate change impacts.
Qualifications
Doctor of Philosophy in Environmental Systems Engineering: 05/2009 – 04/2015
University of Regina, Regina, SK, Canada
Master of Science in Engineering: 09/2006 – 06/2008
North China Electric Power University, Beijing, China
Bachelor of Science in Statistics: 09/2002 – 06/2006
Shandong University, Jinan, Shandong, China
Newest selected publications
Wang, Y., Lu, Y., Xu, Y., Zheng, L. and Fan, Y. (2023) 'A factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system management'. Agricultural Water Management, 277. pp. 108069 - 108069. ISSN: 0378-3774
Ning, Y., Liang, G., Ding, W., Shi, X., Fan, Y., Chang, J., et al. (2022) 'A Mutual Information Theory-Based Approach for Assessing Uncertainties in Deterministic Multi-Category Precipitation Forecasts'. Water Resources Research, 58 (11). ISSN: 0043-1397
Fan, Y., Shi, X., Duan, QY. and Yu, L. (2022) 'Towards reliable uncertainty quantification for hydrologic predictions, Part I: Development of a particle copula Metropolis Hastings method'. Journal of Hydrology, 0 (in press). pp. 128163 - 128163. ISSN: 0022-1694 Open Access Link
Fan, YR., Shi, X., Duan, QY. and Yu, L. (2022) 'Towards reliable uncertainty quantification for hydrologic predictions, Part II: Characterizing impacts of uncertain factors through an iterative factorial data assimilation framework'. Journal of Hydrology, 0 (accepted, in press). pp. 128136 - 128136. ISSN: 0022-1694 Open Access Link
Wang, F., Huang, GH., Fan, Y. and Li, YP. (2022) 'Development of a disaggregated multi-level factorial hydrologic data assimilation model'. Journal of Hydrology, 610. pp. 127802 - 127802. ISSN: 0022-1694