This Project Grant award of $300,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to develop fast flood modeling technologies that can improve the design and resilience of infrastructure systems. The objective is to create flood simulation capabilities that significantly speed up assessments of flood risks and infrastructure responses, while maintaining accuracy. This high-risk, interdisciplinary research project at the University of Miami's...
This $550,254 project grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research by the University of Arizona to address the flood justice and equity impacts of urban adaptation and expansion using satellite observations. The research aims to: Generate observed flood data to measure how flood protection infrastructure like levees and drainage systems impact flooding patterns and who is affected, particularly underserved communities. Build capacity...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $400,000 to Clemson University will develop a next-generation flood computing system called "FLOODENGINE" to improve flood forecasting and analytics. The project will leverage smart cyber-physical systems (SCPS) capabilities to optimize data gathering and processing, develop a physics-based deep learning model, and promote knowledge transfer through innovative networks. The goal is to...
This $550,000 National Science Foundation Project Grant under the Geosciences program (CFDA 47.050) will support the development of data-driven physics-informed machine learning models to predict flood-induced flow and sediment dynamics. Over a four-year period ending June 2027, the grantee will improve existing high-fidelity numerical modeling tools and apply them to evaluate flood impacts on infrastructure stability in large waterways. They will then use simulation results to inform and...
This $999,664 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070) supports the development of a novel framework for extracting spatio-temporal features from integrated remote sensing data to create a comprehensive knowledge base for monitoring and mapping flood events. The research aims to enable rapid response and recovery efforts by providing real-time communication between human and robot agents...
This $199,998 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to advance the understanding of the disproportionate impacts of cascading flood events on vulnerable populations, particularly individuals with disabilities. The primary activities include engaging community partners, conducting stakeholder interviews and community listening tours, assessing the feasibility of existing and emerging flood resilience solutions, and mapping the...
This National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I project grant of $274,391 will fund the development of city-scale flood mapping using real-time sensor data. Awarded on September 15, 2022 with a completion date of August 31, 2023, this funding supports research under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). Specifically, the awardee Hyfi LLC will advance new knowledge on the use of advanced analytics to estimate floods at...
This $499,988 project grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to understand population mobility patterns and experiences due to low-attention flooding events. The 3-year study, starting September 1, 2024, aims to fill the knowledge gap around how repeated, low-attention flood disasters that receive limited media coverage contribute to people's decisions to evacuate, return, or permanently relocate. The research team will...
This National Science Foundation Project Grant of $547,101 will fund research at The University of Iowa from January 2023 through December 2025 to develop an artificial intelligence-powered control framework for optimally regulating streamflow during flood mitigation efforts. The research aims to advance methods for combining physics-informed and recurrent neural networks to predict dynamic system evolution and quantify uncertainty, as well as construct learning-based control synthesis...
This National Science Foundation (NSF) project grant, awarded under the CFDA program 47.079 - Office of International Science and Engineering, aims to develop a flood resilience framework for coastal communities in the Caribbean region, particularly in Guyana, Trinidad and Tobago, and St. Lucia. The $648,579 project, starting on June 1, 2024 and running through May 31, 2027, will be led by the University of Louisiana at Lafayette. The key project goals are to (a) create a community learning...