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Dr Yurui Fan
Senior Lecturer in Flood and Coastal Engineering

Howell 246


  • 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.


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

Journal article

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

Journal article

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

Journal article

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

Journal article

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

Journal article
More publications(101)