Reliable flood predictions for River Thames (UK) and Huai River (China) under compound uncertainties and changing climate
Funder: Royal SocietyDuration: December 2020 - November 2022
People
| Name | Telephone | Office | ||
|---|---|---|---|---|
|
Dr Yurui Fan Senior Lecturer in Flood and Coastal Engineering (Principal investigator)
T: +44 (0)1895 265717
E: yurui.fan@brunel.ac.uk |
+44 (0)1895 265717 | yurui.fan@brunel.ac.uk | Howell 206 |
Outputs
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, 612. pp. 1 - 14. ISSN: 0022-1694 Open Access Link
Fan, YR., Yu, L., Shi, X. and Duan, QY. (2021) 'Tracing Uncertainty Contributors in the Multi-hazard Risk Analysis for Compound Extremes'. Earth's Future, 9 (12). pp. 1 - 22. ISSN: 2328-4277 Open Access Link
Fan, Y., Yu, L. and Shi, X. (2021) 'Uncertainty quantification and partition for multivariate risk inferences through a factorial multimodel Bayesian copula (FMBC) system'. Journal of Hydrology, 598. pp. 1 - 17. ISSN: 0022-1694 Open Access Link