4. CAREER: Advancing a Participatory Framework for Decentralized Stormwater Management
- Period
- 2026–present
Supported by
Supported by an NSF CAREER award, this project will develop a stakeholder-informed socio-hydrologic framework for planning decentralized gray-and-green stormwater infrastructure under compound hazards such as heavy rainfall, tidal backwater, sea-level rise, and elevated groundwater. The research will integrate hydrologic modeling, resilience and service-reliability metrics, stakeholder surveys, behavioral experiments, agent-based modeling, optimization, and AI/ML-accelerated simulations within a participatory digital twin. The resulting tools will help engineers, planners, and residents evaluate tradeoffs among performance, cost, recovery, and community priorities. Integrated education and workforce-development activities will also train students and practitioners in hydrologic modeling, data science, responsible AI/ML, digital twins, and community-informed infrastructure planning.
Sub-projects (1)
- U.S. Coastal Pump-Station Inventoryongoing
An open inventory of U.S. coastal pump stations across 55 cities for compound-flood-risk and energy-intensity analysis, aimed at a published dataset.
From this research area
- Street-to-pipe diagnosis of compound rain–tailwater flooding (2026)
- Hydrological extremes heighten vulnerability to schistosomiasis (2024)
- A methodological framework for improving the performance of data-driven models (2023)
- Editorial: Coastal Flooding: Modeling, Monitoring, and Protection Systems (2022)
- Generalization of Runoff Risk Prediction (2022)