Learn R Programming

Rothermel (version 1.2)

SFM_metric: Standard fuel models (Albini 1976, Scott & Burgan 2005)

Description

All values converted to metric format.

Usage

data(SFM_metric)

Arguments

Format

A data frame including standard fire behavior fuel models as in Albini (1976) and Scott and Burgan (2005) to be used as input of ros ( ) function. All values converted to metric format.
Fuel_Model_Type
S(tatic), D(ynamic)
Load_1h
loading of 1h fuel class [t/ha]
Load_10h
loading of 10h fuel class [t/ha]
Load_100h
loading of 100h fuel class [t/ha]
Load_Live_Herb
loading of herbaceous fuels [t/ha]
Load_Live_Woody
loading of woody fuels [t/ha]
SA/V_1h
SAV of 1h fuel class [m2/m3]
SA/V_10h
SAV of 10h fuel class [m2/m3]
SA/V_100h
SAV of 100h fuel class [m2/m3]
SA/V_Live_Herb
SAV of herbaceous fuels [m2/m3]
SA/V_Live_Woody
SAV of woody fuels [m2/m3]
Fuel_Bed_Depth
fuel bed depth [cm]
Mx_dead
dead fuel moisture of extinction [percent]
Heat_1h
heat content of 1h fuel class [kJ/kg]
Heat_10h
heat content of 10h fuel class [kJ/kg]
Heat_100h
heat content of 100h fuel class [kJ/kg]
Heat_Live_Herb
heat content of herbaceous fuels [kJ/kg]
Heat_Live_Woody
heat content of woody fuels [kJ/kg]

Source

Albini, F. A. (1976). Computer-based models of wildland fire behavior: A users' manual. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. Scott, J., & Burgan, R. E. (2005). A new set of standard fire behavior fuel models for use with Rothermel's surface fire spread model. Gen. Tech. Rep. RMRSGTR-153. Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station.

Examples

Run this code
data(SFM_metric)

# ROS using Standard fuel models and Moisture scenarios
data (scenarios, SFM_metric)
modeltype <- SFM_metric ["GR1", "Fuel_Model_Type"]
w <- SFM_metric ["GR1", 2:6]
s <- SFM_metric ["GR1", 7:11]
delta <- SFM_metric ["GR1", "Fuel_Bed_Depth"]
mx.dead <- SFM_metric ["GR1", "Mx_dead"]
h <- SFM_metric ["GR1", 14:18]
m <- scenarios ["D2L2", 1:5]
u <- 8
slope <- 0

a <- ros (modeltype, w, s, delta, mx.dead, h, m, u, slope)
a

Run the code above in your browser using DataLab