This $399,933 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to the University of California, Los Angeles (UCLA) will support the development of new artificial intelligence-based infrastructure damage prediction models for enhanced resilience and emergency response planning. The 3-year project aims to advance the state-of-the-art in multimodal data integration and analytics to enable near real-time assessments of physical damage to...
The National Science Foundation awarded a $100,000 Project Grant under the Engineering federal grant program (CFDA 47.041) to the University of California, Los Angeles for a planning grant titled "Engineering Research Center for Wildfire Hazard Resilience and Risk Engineering." The one-year grant running from September 1, 2021 to August 31, 2022 will support initial planning and coordination to establish an Engineering Research Center focused on developing engineering solutions to...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to enhance wildfire risk assessment in wildland-urban interface (WUI) communities through comprehensive data collection and high-fidelity fire spread modeling. The $196,639 award to the University of Maryland, College Park will fund the compilation of a detailed dataset documenting the impacts of the Maui wildfire, as well as an assessment of using advanced computational fluid dynamics...
The University of California, Los Angeles (UCLA) received a $100,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program. The grant will support a collaborative research project to develop rapid computational modeling and prediction capabilities for wildfire spread, with a focus on incorporating the impacts of human activity during and after wildfires. The research aims to improve the accuracy of short-term wildfire...
This $100,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports field research to collect, archive, and characterize airborne particulate matter samples during and after the Los Angeles wildfires in January 2025. The key objectives are to: 1) collect and archive particulate matter samples, 2) quantify the concentrations of toxic elements, 3) disseminate findings to inform public health recommendations, and 4) share collected materials with...
This two-year, $196,170 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation, under the Engineering program (CFDA 47.041), will fund research examining the engineering behaviors of slopes exposed to wildfires. Specifically, the award to California State University Fullerton will support characterizing wildfire ashes and burned soils to measure their strength, compressibility, and hydraulic properties. This will include determining the...
This $599,974 National Science Foundation project grant under the Engineering program (CFDA 47.041) will fund the creation of a physics-based computational model for predicting structural ignition risks from wildfires at the University of Michigan from January 2023 through December 2025. The model will simulate ignition from firebrands on structures using a probabilistic multiphase Eulerian approach for transport and the discrete element method for firebrand fracture and mass loss. It will be...
This $370,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The University of Alabama in Huntsville to improve understanding of wildfire behavior in heterogeneous fuel mixtures from July 2022 to June 2025. The research aims to identify key physical and chemical processes controlling ignition and spread of fire in mixtures of living and dead fuels through controlled experiments and computational simulations. Lasers and other...
The National Science Foundation (NSF) awarded a $889,209 Project Grant under the Geosciences program (CFDA 47.050) to the University of California, Irvine (UC Irvine) and its collaborator Spatial Informatics Group LLC (SIG). The grant aims to: 1) Develop a large open-access dataset of fire-related environmental observations to support machine learning (ML) research on wildfire spread modeling, 2) Advance innovative spatiotemporal ML models for understanding and predicting wildfire spread, and 3)...
This National Science Foundation (NSF) Geosciences program (CFDA 47.050) Project Grant award of $126,709 to Colorado State University (CSU) focuses on rapidly assessing air quality during wildfires in the wildland-urban interface (WUI) of Southern California. The key products and services to be delivered under this 1-year project include: Sampling and speciation of air pollutants emitted from WUI fires, with a focus on assessing the contribution of structure fires to concentrations and impacts...