Project Grant DESC0023568

The U.S. Geological Survey (USGS) awarded a $249,990 Cooperative Agreement under the USGS Research and Data Collection program (CFDA 15.808) to the University of Oklahoma's Office of Research Administration. This 3-year project will operationalize two fixed-mount, laser scanning (LIDAR) instruments to measure cross-sectional channel geometry in shallow rivers with frequently changing geomorphologies. The data collected will be integrated into USGS workflows to produce real-time, stage-area...

The National Science Foundation (NSF) awarded a $550,000 Project Grant under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to The University of Iowa. The grant, awarded on May 15, 2025, aims to develop a new system for monitoring streamflow in rivers and streams that is safer, more efficient, and more precise than traditional methods. The project seeks to address the inaccuracies of current streamflow monitoring systems, which often struggle to provide reliable...

This $403,680 project grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research to improve streamflow monitoring and forecasting methods. The University of Iowa will enhance protocols for continuously monitoring streamflows to more accurately capture effects of flood wave propagation and seasonal riparian vegetation changes. Researchers will integrate direct measurements with numerical models to enable real-time estimation and forecasting of streamflow...

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...

This Small Business Technology Transfer (STTR) Phase I Project Grant from the National Science Foundation (NSF) totals $256,000 to develop a novel, non-contact video sensor for measuring sewer flows. Funded under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), the award supports Water Intelligence LLC to advance their machine learning and video-based technology for accurately capturing velocity, water level, and identifying critical events in sanitary sewer systems...

This $259,328 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research at Tulane University to develop novel methods for real-time streamflow estimation and forecasting. The University will integrate direct measurements with numerical models to more accurately capture short-term flood wave propagation effects and seasonal impacts of riparian vegetation changes. Researchers will combine experimental, data-driven, and physics-based modeling to enable...

This Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) provides $136,638 to Oregon State University to support research measuring sediment fluxes in boreal rivers in Alaska. The funding will be used to leverage recently developed do-it-yourself optical backscatter sensors to improve measurements of Arctic fluvial sediment fluxes. These lower-cost sensors will be enhanced with separate data logging and power capabilities as well as satellite-enabled data...

This Project Grant award of $524,799, issued by the National Oceanic and Atmospheric Administration (NOAA) under the NOAA Small Business Innovation Research (SBIR) Program (CFDA 11.021), will fund the research and development of a novel analytics toolchain to provide early warnings for debris jams in urban drainage systems, streams, and rivers. The key objectives of this 6-month project are: 1) developing transfer learning algorithms to support automated anomaly detection from wireless water...

This $999,593 Cooperative Agreement award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an industrial flow meter for low-volume dispensing. The funded project aims to create an accurate and precise flow meter capable of measuring small flow rates of highly concentrated fluids, enabling on-the-fly dispensing to produce customized mixtures for applications in industries such as pharmaceuticals, agriculture,...

The U.S. Geological Survey (USGS) awarded a $300,024 Cooperative Agreement grant under the USGS Research and Data Collection program (CFDA 15.808) to The Pennsylvania State University (Penn State) for the project "Harnessing Physics-Informed Machine Learning to Improve Image-Based Streamflow Measurements". The 3-year project aims to leverage machine learning and artificial intelligence to enhance two image-based flow measurement techniques - space-time image velocimetry (STIV) and...