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Creating Situational Awareness for First Responders
david blankinshipsenior gis analyst, colorado springs fire department
Principles of our knowledge management
Deliver the right information, to the right Deliver the right information, to the right person, at the right momentperson, at the right moment
Unimpeded integration across space, time, Unimpeded integration across space, time, entity, and processentity, and process
Totally structured for the consumerTotally structured for the consumer
What does this create?
Practical, mission-driven solutions:Practical, mission-driven solutions:
Run Order/CAD integration
Map books, wall maps, etc
Parcel-based wildland fire risk analysis
Assessing vulnerable populations
HazMat Plume Modeling
Spatial Decision Support Systems/RAMP
Wildland fire behavior
Flood/inundation studies
Swift water rescue guidance
Complex and preplan data
Evacuation routes
Damage assessment
Integrated inspection systemsAVL/ITS
Intra-structure forensics
Arson profiling
CBRNE modeling
USAR/S&R
Water supply analysis
Station location studies
Information delivery in any format, any place
Major incident support
OEM/OES strategic planning
Interoperability/SA Landslide susceptibility
Executive leadership that always focuses Executive leadership that always focuses on forward progress – not just doing on forward progress – not just doing something because we always havesomething because we always have
Make the Make the goalgoal define the technology – it’s define the technology – it’s just a tool, not a religionjust a tool, not a religion
How do you know what to do?
Risk AssessmentRisk AssessmentParcel-based wildland fire risk assessment Parcel-based wildland fire risk assessment Risk Assessment and Mitigation Process (RAMP)Risk Assessment and Mitigation Process (RAMP)
Standardization via National Fire Data ModelStandardization via National Fire Data ModelSponsorshipSponsorship
AVL/Intelligent Transportation SystemAVL/Intelligent Transportation System
Specific examples
Goal - Goal - engage the community to engage the community to reduce riskreduce risk Require a common view of the Require a common view of the
wildfire hazardwildfire hazard Demand consistent level of Demand consistent level of
accuracy across communityaccuracy across community Focus on actionable tasks that Focus on actionable tasks that
could mitigate effects of an eventcould mitigate effects of an event
Combine advanced remote sensing with
public process to improve fire risk
mitigation
Parcel-based WUI Risk Assessment
44,329 site visits
20 values/site
9 Months
9 Engines
3 Hours/shift
$1.5m value
DATA COLLECTION STRATEGY 2001Example – Initial WUI assessment (55 sq miles) using
traditional collection assets.
Update utilized remote sensing data to reduced time and cost
($62K)
Develop a community definition of WUI Develop a community definition of WUI hazards and riskshazards and risks Adopt existing modelAdopt existing model Develop community-based modelDevelop community-based model
Common AttributesCommon Attributes Fire Behavior (fuels, slope, aspect, etc)Fire Behavior (fuels, slope, aspect, etc) Landscape (veg density, defensible space)Landscape (veg density, defensible space) Water (hydrant, sources)Water (hydrant, sources) Access (response time, road conditions)Access (response time, road conditions) Construction (roof, siding, utilities, etc)Construction (roof, siding, utilities, etc)
Combine attributes to develop a ratingCombine attributes to develop a rating ScienceScience Subject Matter ExpertsSubject Matter Experts Polling of effected communityPolling of effected community
Moraga-Orinda
Risk Assessment Models – Wildland Fire
Wildland Fire Risk
Fire Suppression Fire Behavior Owner Intervention
Water Supply
Road Condition
Visible Addressing
Hydrant Location
Fire Dept Response Time
Building Density
Electrical Panel
Predominant Slope
Dangerous Topography
Predominant Aspect
Predominant Fuel Type
Fire Department Access
Decking & Balcony
Chimney Protection
Structure Roofing Material
Eave and Vent Openings
Landscaping
AVL CentralSystem
900 MHz
GPS
CSFD
© C o p y rig h t 1 9 9 6 G a la ctic S o ftw a re . A ll R ig h ts R e se rve d .
CAD
Call Info. Call Info.
Dispatch
Pre
em
pti
on
IntegratedTraffic Signals