Evaluation of the fire simulation processes of the National Fire Management System's Initial Attack Analysis...

Area of Science:

• Wildland Fire Management
• Ecological Modeling
• Forestry Science

Background:

• The National Fire Management System (NFMAS) Initial Attack Analysis (IAA) processor is crucial for predicting fire behavior and impacts.
• Accurate simulations are vital for effective resource allocation and management strategies in wildland fire scenarios.

Purpose of the Study:

• To evaluate the sensitivity and validity of the NFMAS Initial Attack Analysis (IAA) processor.
• To identify key input variables influencing fire simulation outputs and assess the accuracy of "escaped fire situation" analysis.

Main Methods:

• Conducted sensitivity analysis using hypothetical data to test IAA outputs across a range of fire inputs.
• Validated IAA using an actual Stanislaus National Forest database to assess real-world performance.
• Analyzed the impact of input variables like fire spread rate, suppression productivity, initial attack time, and discovery fire size.

Main Results:

• IAA outputs were most sensitive to fire spread rate, suppression productivity, and initial attack time.
• IAA showed extreme insensitivity to variations in fire size at discovery.
• The "escaped fire situation" analysis yielded unacceptable results with the Stanislaus National Forest data.

Conclusions:

• Modifications are needed in how IAA incorporates fire size at discovery for improved comparison of detection options.
• A revised method for assigning final sizes to simulated escaped fires based on historical fire intensity is proposed for more consistent calculations of area burned and associated costs (C + NVC).