Project Grant 2011ST108000022

This Project Grant award of $317,811 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Pittsburgh to understand and predict the evolution of backward erosion piping (BEP) in geotechnical flood protection infrastructure. The research aims to develop a stochastic multiphase computational model to gain mechanistic insights into the relationship between hydraulic conditions, soil characteristics, and the time-dependent progression...

The National Science Foundation (NSF) awarded a $300,000 EAGER (Early-Concept Grants for Exploratory Research) project grant under CFDA 47.041 (Engineering) to the University of Wisconsin-Madison. The objective of this 2-year project is to develop and pilot a novel satellite-based method for faster and more accurate assessment of the performance of flood mitigation infrastructure, such as levees and detention basins, across the United States. The research seeks to generate observed flood data to...

This $411,496 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) supports research to understand and predict the evolution of backward erosion piping (BEP) - a type of internal erosion that can cause failures in geotechnical flood protection infrastructure. The research aims to develop novel computational modeling capabilities to mechanistically characterize the relationship between hydraulic conditions and the time-dependent evolution of BEP. Key...

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...

The U.S. Geological Survey awarded a $499,999 Cooperative Agreement under the Assistance to State Water Resources Research Institutes program (CFDA 15.805) to Cornell University to develop a distributed sensor network that integrates edge-AI and photogrammetric techniques to automate real-time urban flood monitoring and mapping. Key deliverables include: A minimum viable product (MVP) sensor network to map urban pluvial flood extents and depths in real-time, including storm sewer stage...

The National Science Foundation (NSF) awarded a Project Grant under the Engineering (CFDA 47.041) program to support research focused on developing and testing fast-flood-modeling technologies. The $300,000 award, effective from July 1, 2025 through June 30, 2027, aims to advance flood simulation technologies that could transform the design of flood-safe infrastructure systems. The research project, led by the University of Miami's Rosenstiel School of Marine and Atmospheric Science (RSMAS),...

This Cooperative Agreement award, funded by the U.S. Geological Survey under the Assistance to State Water Resources Research Institutes (CFDA 15.805) program, aims to improve flood prediction and risk assessment capabilities across the United States. The $165,000 project, running from January 16, 2025 to January 15, 2026, will be carried out by Purdue University. The research team will develop a new computer model that integrates river data, rainfall patterns, city drainage systems, and land...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $200,000 to New York University (NYU) to develop collaborative partnerships and co-identify research questions aimed at using flood sensor data to better understand and predict urban flooding, as well as implement community-level actions toward adaptation and mitigation. The key objectives are to: (1) develop and optimize data processing tools to prepare the flood dataset for actionable...

The National Science Foundation (NSF) awarded a Cooperative Agreement grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Hyfi LLC, a minority-owned small business in Ann Arbor, Michigan. The $1,244,153 grant, awarded on June 15, 2025, will fund the development of a novel flood forecasting system that combines real-time sensor data with advanced analytics to provide localized, 24-hour flood predictions for stormwater managers. The key objectives are to (1)...

This National Science Foundation (NSF) Integrative Activities program grant of $189,997 awarded to Iowa State University of Science and Technology will develop a data-driven, physics-informed early warning system to predict flood occurrence and support communities in agriculture-dominated watersheds across the Midwestern U.S. The project will integrate complex watershed characteristics, human land use, and management practices into hydrological modeling to improve flood forecasting accuracy...