14. The science and art of GWS
• Where the fire is going to be in the next …?
• How is it burning process?
• When can we expect to stop it?
• What is the potential of the fire?
• Why is the fire jumping?
All these questions have spatio-temporal answers
15. Who’s who in GWS
Harry T. Gisborne Jack S. Barrow
Director of the Missoula fire Lab
First true specialist in forest
fire research in the Nation The Mann Gulch Fire (1949)
17. for this problem… we need models¡
• Models help us to better understand
complex systems
• Helps us to quantify the problems
• Fire behavior involves (in a short
approach)
– Weather
– Fuel
– Terrain
– Human factors
• Spatial and Temporal combined
analysis is needed
18. Modeling fire behaviour
R. C. Rothermel, 1987
Managing Research for Success
Gen. Tech. Rep. PSW-101 Berkeley, CA. Pacific Southwest
Forest and Range Experiment Station, Forest Service, U.S.
Department of Agriculture; 1987
19. Models are out there
Models completed in period 1990-2007
12 Physical
7 quasi-physical
15 empirical
5 quasi-empirical
11 simulation
22 mathematical analogous
Andrew L. Sullivan
Wildland surface fire spread modelling, 1990–2007
International Journal of Wildland Fire
Volume 18 Number 4 2009
.
20. FBAN’s: the guys that need tools to
run the models ant the right place ¡
21. (Adapted from Stratton 2005)
Refine ignition
points, active fronts,
secondary spots
Weather & Fuel ROS Refinement of the
adjustmens scenario: fuels, firebreaks,
operations
Evaluation of observed Weather input review:
ROS: field observers, AVL predictions&RAWS vs in
resources, aerial imagery field measurements
Atention to sensible
parameters: local wind
effects, fuel moisture
22. We need to take sims from the lab…
LANL Coupled Fire/Atmosphere Modeling, FIRETEC
http://ees.lanl.gov/ees16/FIRETEC.shtml
29. How Does it Work?
• Seamless Synchronization
• Uses a data replication
approach based on
transactional architecture
• Facilitates exchange of data
between seamlessly
between users
• Designed to ensure data
synchronization occurs in
the most severe
operational scenarios
• Designed for EOC and
related command hierarchy
50. St. Clair Stone Fire Simulation
Number of Structures Impacted by Wildfire
By Hour of Progression
300
258
250
Structures Impacted
200
150 137
105
89
100 81
69
60
49
50
39 32 33
20 21
0
4 8 12 16 20 24 28 32 36 40 44 48 52
Hour of Wildfire
Total Structures Impacted
51. St. Clair Stone Fire Simulation
Accumulative Potential $ Loss of Structures
By Hour Progression of Wildfire
$100 $93,6
$89,0
$90
$81,5
$77,9
$80 $73,7 $75,7
$70
$66,8
$60
$ in Millions
$50
$40
$32,1
$30 $24,4
$20
$12,8
$7,2 $8,1
$10 $3,9
$0
4 8 12 16 20 24 28 32 36 40 44 48 52
Hour of Wildfire
Accumulated Structure Loss
52. Click the image
to play the AFC
YouTube video
that describes
the analysis
53.
54. new uses of operational simulations
Prevention Operations Post fire
• Observed Fire • Every Alarm • Fire Scenarios
Behavior Evaluation • Impact
database • Multiple assesment
• Fuel management incidents • What if?
• Analyze firebreaks
efficiency
• IAP support • Historical
• Resources location • Integration in analysis
optimization DSS • New local
models
55.
56.
57. anyone joins the lady?
I’ve got a
question…
Thank you for your attention
Joaquín Ramírez
jramirez@tecnosylva.com
David Buckley
dbuckley@dtsgis.com