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

Description Usage Format Source Examples

Description

All values converted to metric format.

Usage

1

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

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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

Example output

Loading required package: GA
Loading required package: foreach
Loading required package: iterators
Package 'GA' version 3.2
Type 'citation("GA")' for citing this R package in publications.

Attaching package: 'GA'

The following object is masked from 'package:utils':

    de

Loading required package: ftsa
Loading required package: forecast
Loading required package: rainbow
Loading required package: MASS
Loading required package: pcaPP
Loading required package: sde
Loading required package: stats4
Loading required package: fda
Loading required package: splines
Loading required package: Matrix

Attaching package: 'fda'

The following object is masked from 'package:forecast':

    fourier

The following object is masked from 'package:graphics':

    matplot

Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

sde 2.0.15
Companion package to the book
'Simulation and Inference for Stochastic Differential Equations With R Examples'
Iacus, Springer NY, (2008)
To check the errata corrige of the book, type vignette("sde.errata")

Attaching package: 'ftsa'

The following objects are masked from 'package:stats':

    sd, var

$`Characteristic dead fuel moisture [%]`
[1] 6

$`Characteristic live fuel moisture [%]`
[1] 60

$`Live fuel moisture of extinction [%]`
[1] 601.32

$`Characteristic SAV [m2/m3]`
[1] 6736.15

$`Bulk density [kg/m3]`
[1] 0.74

$`Packing ratio [dimensionless]`
[1] 0.0014

$`Relative packing ratio [dimensionless]`
[1] 0.22

$`Dead fuel Reaction intensity [kW/m2]`
[1] 55.69

$`Live fuel Reaction intensity [kW/m2]`
[1] 26.46

$`Reaction intensity [kW/m2]`
[1] 82.15

$`Wind factor [0-100]`
[1] 23.18

$`Slope factor [0-1]`
[1] 0

$`Heat source [kW/m2]`
[1] 67.95

$`Heat sink [kJ/m3]`
[1] 748.42

$`ROS [m/min]`
[1] 5.45

Rothermel documentation built on May 2, 2019, 7:23 a.m.