Urban Flood Modeling
Our lab develops advanced computational models to predict and mitigate urban flooding events. We integrate high-resolution spatial data, real-time sensor networks, and machine learning algorithms to create accurate flood forecasting systems that can be deployed in cities worldwide.
Current projects include the development of a coupled hydrologic-hydraulic model that accounts for complex urban features such as buildings, drainage systems, and green infrastructure. We also work on real-time flood warning systems that can provide actionable information to emergency responders and city officials during extreme weather events.
Key Publications
- Smith, J., et al. (2023). "Machine Learning Approaches for Urban Flood Prediction Using Multi-Source Data." Nature Water, 2(4), 345-358.
- Johnson, A., et al. (2022). "High-Resolution Urban Flood Modeling: Challenges and Opportunities." Journal of Hydrology, 615, 128552.
- Chen, L., et al. (2021). "Real-Time Flood Forecasting in Urban Environments: A Case Study of Coastal Cities." Water Resources Research, 57(3), e2020WR029192.
Funding Sources
Water Quality Assessment
Our water quality research focuses on developing innovative methods for monitoring and improving water quality in urban watersheds. We design and deploy networks of low-cost sensors that can continuously monitor key water quality parameters, providing real-time data for decision-making.
We also investigate the impacts of urbanization on water quality, including the effects of stormwater runoff, combined sewer overflows, and emerging contaminants. Our research aims to develop sustainable solutions for improving water quality in urban environments, such as green infrastructure and nature-based treatment systems.
Key Publications
- Wang, Y., et al. (2023). "Low-Cost Sensor Networks for Continuous Water Quality Monitoring in Urban Streams." Environmental Science & Technology, 57(8), 3421-3433.
- Garcia, M., et al. (2022). "Impacts of Green Infrastructure on Urban Water Quality: A Meta-Analysis." Science of the Total Environment, 823, 153662.
- Taylor, R., et al. (2021). "Emerging Contaminants in Urban Waterways: Sources, Pathways, and Mitigation Strategies." Water Research, 194, 116929.
Funding Sources
Climate Resilience
Our climate resilience research focuses on developing adaptive water management strategies to enhance urban resilience to climate change. We analyze climate projections and their implications for water resources, including changes in precipitation patterns, temperature, and sea level rise.
We work with cities and communities to develop climate adaptation plans that address water-related challenges, such as drought, flooding, and water quality degradation. Our research also explores innovative approaches to water conservation, reuse, and storage that can help cities become more resilient to climate variability and change.
Key Publications
- Brown, K., et al. (2023). "Climate Change Impacts on Urban Water Infrastructure: Assessment and Adaptation Strategies." Climate Risk Management, 40, 100452.
- Lee, S., et al. (2022). "Adaptive Water Management Under Climate Uncertainty: A Case Study of Coastal Urban Areas." Journal of Water Resources Planning and Management, 148(5), 04022014.
- Martinez, J., et al. (2021). "Integrated Assessment of Green and Gray Infrastructure for Urban Flood Resilience." Landscape and Urban Planning, 214, 104130.
Funding Sources