Title: A literature review of climate change-related risk factors for cancer development Journal: Environmental Research Health DOI: https://doi.org/10.1088/2752-5309/adcfb9 Abstract: The effects of climate change are wide-reaching, impacting both natural ecosystems and human populations, with the increased exposure to ultraviolet (UV) radiation and high temperatures causing extensive health problems and disruptions in food and water supplies, exacerbating existing health issues. Climate change also aggravates extreme weather events, leading to environmental catastrophes […]
Title: Urban flood modelling: Challenges and opportunities – A stakeholder-informed analysis Journal: Environmental Modelling & Software DOI: https://doi.org/10.1016/j.envsoft.2025.106507 Abstract: Modelling urban floods is essential for disaster prevention, yet it faces limitations in accuracy due to technical, operational, and functional constraints. The study employs a primary market research analysis to explore the perspectives of both academic and non-academic experts in urban flood modelling (UFM). Identified issues include inadequate spatial and temporal […]
The following paper about the Urban Flood Modelling: Challenges and Opportunities – A Stakeholder-Informed Analysis has been recently accepted for publication by Environmental Modelling & Software. Mahmood, M.Q., X. Wang, F. Aziz, & N. Dogulu. Urban Flood Modelling: Challenges and Opportunities – A Stakeholder-Informed Analysis. Environmental Modelling & Software, accepted on April 28, 2025. More details will come soon once the paper is published.
Ryan Guild has successfully passed his PhD defence on April 23, 2025. The title of Ryan’s PhD thesis is: “Nesting in a Climate Change: Investigating Climate-Driven Risks, Habitat Change, and Management Strategies for Piping Plovers”. Congratulations to Ryan!
Title: A Framework to Protect against Climate Shocks and Stresses: TRAIN-ing Food Systems to Enhance Climate Resilience Presenter: Dr. Eric Li, Associate Professor, The University of British Columbia Date & Time: May 02, 2025, 1:00 – 2:00 PM (Atlantic Time) Registration: https://t.ly/xiM3p (The webinar is free but registration is needed to receive the Zoom link). Abstract: The concept of food system resilience is increasingly central to addressing global concerns around food security and climate change. […]
Shu Zhang has successfully passed his Master defence on April 04, 2025. The title of Shu’s Master thesis is: “Climate Change Impacts on Potato Storage and Carbon Flux Estimation for Potato Production: A Literature-based Study”. Abstract: Potato production, which encompasses both cultivation and storage, is vital for food security and the economy. However, this process faces significant challenges due to climate change, and the interplay between carbon sequestration and emissions […]
Farhan Aziz has successfully passed his PhD defence on March 31, 2025. The title of Farhan’s PhD thesis is: “Stormwater and Wastewater Flood Risk Assessment for Coastal Communities”. Short Abstract: Coastal cities face growing risk of flooding due to climate change, sea level rise (SLR), and aging infrastructure. The study evaluates stormwater and wastewater flooding in Charlottetown (Prince Edward Island), using a non-stationary 1D-2D scenario-based modeling approach under future climate, […]
Title: High-resolution seasonal climate prediction with stepwise cluster analysis: a case study for Prince Edward Island, Canada Journal: Climate Dynamics DOI: https://doi.org/10.1007/s00382-025-07663-2 Abstract: Global warming has become a pervasive force, impacting environments and livelihoods around the globe. Accurate and high-resolution seasonal climate predictions have become a critical aspect of climate research, providing valuable insights for agriculture, tourism, fisheries, and disaster preparedness sectors. This study introduces a stepwise cluster analysis (SCA) […]
Sana Basheer has successfully passed her PhD defence on March 27, 2025. The title of Sana’s PhD thesis is: “Land Use Land Cover Classification Analysis Using Remote Sensing Technology and Machine Learning”. Congratulations to Sana!
Title: Advanced machine learning for regional potato yield prediction: analysis of essential drivers Journal: npj Sustainable Agriculture DOI: https://doi.org/10.1038/s44264-025-00052-6 Abstract: Localized yield prediction is critical for farmers and policymakers, supporting sustainability, food security, and climate change adaptation. This research evaluates machine learning models, including Random Forest and Gradient Boosting, for predicting crop yields. These models can be adapted for in-season yield forecasting, providing predictions as early as one month before […]
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.