Collaborative Research: FIRE-WUI: Improved understanding and models of fire spread, including small-scale to large-scale interactions

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $390,000 · view on nsf.gov ↗

Abstract

Wildfire is happening more often near cities and towns, putting people, homes, and communities at greater risk. Since wildfires are growing larger and more intense it is even more important to take steps to protect these communities. One helpful way to prepare and respond to wildfires is by using computer modeling and simulation. This powerful tool helps predict how fires might spread in areas where forests and natural areas meet cities and towns. These areas are called the wildland-urban interface (WUI). However, creating accurate models is challenging because how a fire spreads in an urban area is affected by many complex processes that occur in both small areas (like a building) and large areas (like a whole neighborhood). This project aims to understand these processes better and build more reliable models that can predict how fires will act in WUI areas, whether at small or large scales. The team also plans to create an easy-to-use computer program that will help emergency planners and local leaders use these tools to make better decisions about evacuations, managing fires, and keeping communities safer. The technical aspects of the proposed research are organized around four primary objectives identified as: (i) to develop a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local scale; (ii) to investigate how these localized interactions influence fire dynamics at intermediate scales—such a

Key facts

NSF award ID
2536815
Awardee
University of California-Irvine (CA)
SAM.gov UEI
MJC5FCYQTPE6
PI
Tirtha Banerjee
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
FIRE-Wildland Fire, INTERDISCIPLINARY PROPOSALS
Estimated total
$390,000
Funds obligated
$390,000
Transaction type
Standard Grant
Period
09/01/2025 → 08/31/2028