Items related to A Model for Predicting Lightning Fire Ignition in Wildland...

A Model for Predicting Lightning Fire Ignition in Wildland Fuels (Classic Reprint) - Hardcover

Donald M. Fuquay

 
9780331381900: A Model for Predicting Lightning Fire Ignition in Wildland Fuels (Classic Reprint)

Synopsis

A scientist’s model for predicting lightning-caused ignitions in wildland fuels

This report presents a practical model that estimates how often lightning sparks fires in forest fuels. It blends physical understanding of ignition with stochastic methods to account for variable conditions.

The work explains how key inputs—lightning activity, storm movement, fuel moisture, and the density of fine fuels—drive ignition chances. It shows how the model can forecast ignitions for future periods or estimate actual ignitions from current data, and it provides a field-friendly Lightning Activity Level guide to help align forecasts with real-world observations.
  • How to use forecast data or real-time observations to estimate ignition numbers
  • How rainfall and fuel moisture interact to affect ignition probability
  • How storm size, duration, and wind influence rain duration and ignition potential
  • A framework compatible with the National Fire-Danger Rating System (NFDRS)
Ideal for readers seeking a technical, field-applicable approach to predicting lightning-related fire risk in wildlands.

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