Proposition to Optimize Fire Stations for WildfiresThe rising trend in wildfire occurrence and severity has put a strain on wildfire management organizations by spreading out limited resources to meet increasing demand. There has been extensive prior research and data collection to determine the areas of highest risk and to predict regional wildfire damages based on historical trends. Our group aims to utilize this data to best determine fire station placement, optimizing where resources are allocated to reduce the time and investment needed to effectively mitigate wildfires. Using existing research, we are able to calculate optimal fire station locations by utilizing a single-objective facility location problem algorithm incentivized for cost reduction. Further work would be needed to refine the algorithm to accommodate for more realistic factors including access to water and roadways as well as better accounting for the costs involved, but our work serves as a proof of concept and lays the foundation for future research. Implementation of this algorithm would allow public fire planning agencies (such as CAL FIRE and Forest Service) to shift resources to where they would be most effective.
Document ID
20220012569
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Ashish Bhave (NASA Aeronautics Research Institute )
Sharad Parulekar (NASA Aeronautics Research Institute)
Samuel Kenyon (NASA Aeronautics Research Institute)
Matt Cady (NASA Aeronautics Research Institute)
Akarsh Tripathi (NASA Aeronautics Research Institute)
Date Acquired
August 12, 2022
Subject Category
Earth Resources And Remote SensingMeteorology And Climatology
Meeting Information
Meeting: NASA Aeronautics Research Institute (NARI) Wildfire Presentation
Location: Moffett Field, CA
Country: US
Start Date: August 12, 2022
End Date: August 12, 2022
Sponsors: National Aeronautics and Space Administration