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 […]
Title: Advancing Precision Agriculture Through Digital Twins and Smart Farming Technologies: A Review Journal: AgriEngineering DOI: https://doi.org/10.3390/agriengineering7050137 Abstract: The agricultural sector is evolving with the adoption of smart farming technologies, where Digital Twins (DTs) offer new possibilities for real-time monitoring, simulation, and decision-making. While previous research has explored the Internet of Things (IoT), UAVs, machine learning (ML), and remote sensing (RS) in enhancing agricultural efficiency, a systematic approach to integrating […]
Title: Quantifying spatiotemporal shifts in photovoltaic potential across China under 1.5 °C and 2.0 °C global warming scenarios Journal: Applied Energy DOI: https://doi.org/10.1016/j.apenergy.2025.125957 Abstract: This study utilizes the high-resolution NEX-GDDP climate dataset combined with the Global Solar Estimation Model (GSEE) to systematically assess China’s PV power generation potential under the Shared Socioeconomic Pathway (SSP) scenarios, specifically SSP245 and SSP585, aiming to reach the 1.5 °C and 2 °C global warming targets. The […]
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!
The following paper about the climate change-related risk factors for cancer development has been recently accepted for publication by Environmental Research: Health. Engelke Da Silva, V., X. Wang, P. Kinay, and W. Montelpare. A Literature Review of Climate Change-Related Risk Factors for Cancer Development. Environmental Research: Health, accepted on April 17, 2025. More details will come soon once the paper is published.
The following paper about the the application of digital twins and smart farming technologies for precision agriculture has been recently accepted for publication by AgriEngineering. Awais, M., X. Wang, S. Hussain, F. Aziz, and M. Q. Mahmood. Advancing Precision Agriculture Through Digital Twins and Smart Farming Technologies: A Review. AgriEngineering, accepted on April 17, 2025. More details will come soon once the paper is published.
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) […]
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.