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

Description

All values converted to metric format.

Usage

data(SFM_metric)

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

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

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Rothermel)
Loading required package: GA
Loading required package: foreach
Loading required package: iterators
Package 'GA' version 3.0.2
Type 'citation("GA")' for citing this R package in publications.
Loading required package: ftsa
Loading required package: forecast
Loading required package: zoo

Attaching package: 'zoo'

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

    as.Date, as.Date.numeric

Loading required package: timeDate
This is forecast 7.1 

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

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':

    median, sd, var

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Rothermel/SFM_metric.Rd_%03d_medium.png", width=480, height=480)
> ### Name: SFM_metric
> ### Title: Standard fuel models (Albini 1976, Scott & Burgan 2005)
> ### Aliases: SFM_metric
> ### Keywords: datasets
> 
> ### ** Examples
> 
> 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
$`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

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>