Publications

Publications from HEWSL will be added soon.

Below is a summary of selected publications from my previous research that laid the foundation for establishing HEWSL. 

Changes in the behaviour of water extremes (known as nonstationarity) are often overlooked, reducing prediction accuracy and reliability1, leading to over- or under-design and preparedness2. Our work in frequency analysis improves model determination3, uncertainty quantification4,5, and predictions that leverage ordinary events6,7. We have also developed a systematic, software-supported, and practice-oriented framework8 that accounts for nonstationarity and offers flexibility and reproducibility. It addresses the need for better engineering practices amidst climate change9. We have also developed nonstationary bias correction methods10 that explicitly address continuous nonstationarity from climate change and leverage ordinary-event data, which are more abundant and better simulated by climate models. 

References:

1. Vidrio-Sahagún, C.T., He, J., Kasiviswanathan, K. S. and Sen, S. (2021). Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios. Journal of Hydrology, 598 (July), 125725, doi.org/10.1016/j.jhydrol.2020.125725

2. Vidrio-Sahagún, C. T., and He, J. (2021). Flood hazard estimation under nonstationarity using the particle filter. Geosciences (Special Issue Flood Risk Assessment in Urban Areas), 11(1), 13. doi.org/10.3390/geosciences11010013

3. Vidrio-Sahagún, C. T., and He, J. (2022). The decomposition-based nonstationary flood frequency analysis. Journal of Hydrology, 612 (September), 128186. https://doi.org/10.1016/j.jhydrol.2022.128186

4. Vidrio-Sahagún, C. T., and He, J. (2022). Enhanced profile likelihood method for the nonstationary hydrological frequency analysis. Advances in Water Resources, 161 (February), 104151. https://doi.org/10.1016/j.advwatres.2022.104151

5. Vidrio-Sahagún, C. T., He, J., and Pietroniro, A. (2023). Multi-distribution regula-falsi profile likelihood method for nonstationary hydrological frequency analysis. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-023-02603-0

6. Vidrio-Sahagún, C. T., He, J., and Pietroniro, A. (2023). Nonstationary hydrological frequency analysis using the Metastatistical extreme value distribution. Advances in Water Resources, 176 (June), 104460. https://doi.org/10.1016/j.advwatres.2023.104460

7. Vidrio-Sahagún, C. T., and He, J. (2022). Hydrological frequency analysis under nonstationarity using the Metastatistical approach and its simplified version. Advances in Water Resources, 166 (June), 104244. https://doi.org/10.1016/j.advwatres.2022.104244

8. Vidrio-Sahagún, C. T., Ruschkowski, J., He, J., and Pietroniro, A. (2024). A practice-oriented framework for stationary and nonstationary flood frequency analysis. Environmental Modelling & Software, 173, 105940. https://doi.org/10.1016/j.envsoft.2024.105940

9. Vidrio-Sahagún, C. T., Ruschkowski, J., He, J., Pietroniro, A., and Hairabedian, M. (2025). Design flood estimation in flood hazard studies: a three-decade systematic review of practices in Canada. Canadian Water Resources Journal/Revue canadienne des ressources hydriques, 50(1), 79–98. https://doi.org/10.1080/07011784.2025.2462603 

10. Vidrio-Sahagún, C. T., He, J., Pietroniro, A. (2025). Improved correction of extreme precipitation through explicit and continuous nonstationarity treatment and the Metastatistical approach. Water Resources Research, 61(1), e2024WR037721. https://doi.org/10.1029/2024WR037721 

11. Vidrio-Sahagún, C. T., Sendhil, H., He, J., Newton, B., Ryan, M. C., Birks, J., Taube, N. Streamflow generation, hydroclimatic changes, and flood in the Sheep River basin on the eastern slopes of the Canadian Rockies. Journal of Hydrology: Regional Studies. https://doi.org/10.1016/j.ejrh.2025.102562  

12. Gizaw, Z., Vidrio-Sahagún, C. T., Pietroniro, A., and Schuster-Wallace, C. J. (2025) Modeling the lagged and nonlinear effects of weather conditions on abundance of Culex tarsalis mosquitoes in Saskatchewan, Western Canada using a bi-dimensional distributed lag nonlinear model. Acta Tropica, 107512. https://doi.org/10.1016/j.actatropica.2024.107512  

13. Qamar, M. U., Vidrio-Sahagún, C. T., He, J., Tariq, U., and Ali, A. (2024). Prediction of monthly flow regimes using the distance-based method nested with model swapping. Water Resources Management, 1-17. https://doi.org/10.1007/s11269-024-03923-8 

14. Shahirnia, M., Vidrio-Sahagún, C. T., He, J., Valeo, C., van Duin, B., Beaudry, M., and Neumann, N. F. (2023). Land use and rainfall influences on bacterial levels and sources in stormwater ponds. Environmental Science and Pollution Research, 30(52), 112236-112251. https://doi.org/10.1007/s11356-023-30264-7 

15. Zhou, Y., Vidrio-Sahagún, C. T., Ryan, M. C., and He, J. (2022). Hydrological behaviour of an unregulated eastern slope river under changing historical climate. Canadian Water Resources Journal / Revue Canadienne Des Ressources Hydriques, 47(2–3), 137–153. https://doi.org/10.1080/07011784.2022.2055496