Title: Hindcasting compound coastal-inland flood events caused by post-tropical storms Journal: Journal of Hydrology DOI: https://doi.org/10.1016/j.jhydrol.2026.136049 Abstract: This study presents a hindcasting framework for reconstructing compound coastal-inland flooding in Prince Edward Island (PEI) during post-tropical storms Fiona (2022) and Dorian (2019). Using observed rainfall and high-water marks (HWMs), with a high-resolution terrain model enhanced with hydro-infrastructure, we simulated flood extents at municipal and island-wide scales using HEC-RAS 2D. The hindcasting […]
The following article about hindcasting compound coastal-inland flood events caused by post-tropical storms has been recently accepted for publication by the Journal of Hydrology. Dau Q.V., R.A. Nawaz, and X. Wang. Hindcasting compound coastal-inland flood events caused by post-tropical storms. Journal of Hydrology, accepted on July 15, 2026. More details will come soon once the paper is published.
The Government of PEI has recently released the Climate Hazard Video Series which explains the major climate hazards in PEI and what islanders should do to adapt to the changing climate. Dr. Wang is featured in several videos related to coastal erosion, coastal flooding, and the CHRIS (https://chris.peiclimate.ca). The Climate Hazard Video Series is available at: https://www.princeedwardisland.ca/en/information/land-and-environment/climate-hazard-and-risk-information-system-chris and https://www.youtube.com/watch?v=LFLKdlESXUA&list=PLXXhWkW9LcA6q29i8WHHpEUzqXytCNClE&index=1.
Title: Why Are Physics-Based Models Taking so Long to Run? Journal: Perspectives of Earth and Space Scientists DOI: https://doi.org/10.1029/2025CN000317 Abstract: Physics-based models provide a reliable and interpretable framework based on established physical laws, allowing them to deal with unforeseen future conditions much better than statistical data-driven methods. Physics-based models in Earth science (e.g., climate models, hydrological models, and groundwater models) are commonly used for understanding long-term trends, predicting near-term variations, […]
Title: Development of PXB-BVC Framework for Multivariate Flood-Risk Assessment Under Climate Change Journal: Remote Sensing DOI: https://doi.org/10.3390/rs18142275 Abstract: Flood risks are escalating under climate change, necessitating advanced methods to improve runoff prediction and multivariate flood-risk assessment. In this study, a physics–XGBoost-based Bayesian model averaging with bivariate copulas (PXB-BVC) framework was developed by integrating the Soil and Water Assessment Tool (SWAT), the Hydrologiska Byråns Vattenbalansavdelning (HBV) model, Extreme Gradient Boosting (XGBoost), […]
The following perspective paper about the long runtime needed for physics-based models in Earth sciences has been recently accepted for publication by AGU’s Perspectives of Earth and Space Scientists. Wang, X., Why are physics-based models taking so long to run? Perspectives of Earth and Space Scientists (AGU), accepted on June 30, 2026. More details will come soon once the paper is published.
The following paper about a framework for multivariate flood risk sssessment under climate change has been recently accepted for publication by Remote Sensing. Yang, A., W. Li, P. Gao, Y. Fan, and X. Wang. Development of PXB-BVC Framework for Multivariate Flood Risk Assessment under Climate Change. Remote Sensing, accepted on June 29, 2026. More details will come soon once the paper is published.
During the 2026 Annual Conference of Canadian Society for Civil Engineering (CSCE) held in Quebec City, Dr. Wang is awarded the Fellow of CSCE in recognition of his career achievements, contributions to civil engineering, and demonstrated leadership in the profession.
During the 2026 UPEI Convocation Week (May 12-15), four PhD graduates (Dr. Rana Ali Nawaz, Dr. Emmanuel Okine Neokye, Dr. Muhammad Qasim Mahmood, and Dr. Tianze Pang) and two MSc graduates (Lucy Li and Christine Parsons) are celebrated for their wonderful achievements. Dr. Rana Ali Nawaz (PhD in Sustainable Design Engineering) and Dr. Muhammad Qasim Mahmood (PhD in Environmental Sciences) are awarded the Faculty of Graduate Studies Awards of Distinction […]
Title: Mental health impacts of Hurricane Fiona in Prince Edward Island, Canada Journal: Next Sustainability DOI: https://doi.org/10.3390/w18070777 Abstract: Extreme climate events are increasingly linked to acute stress and mental health disorders, yet limited research exists for Atlantic Canada. On September 23, 2022, Hurricane Fiona struck Prince Edward Island (PEI) as a record-setting post-tropical storm, causing severe wind damage, flooding, and widespread infrastructure loss. This study examined the immediate mental health […]
Here in the Climate Smart Lab, we are a group of people developing sustainable climate solutions with cutting-edge technologies to help build climate-resilient communities. Collectively, we are working together with experts from all disciplines to build a climate-smart future for the next generation and many generations to come.