West Coast Wildfire
Mitigation Guide
A comprehensive framework for utilities and service providers to build, implement, and sustain a world-class wildfire mitigation program across California, Oregon, and Washington.
Executive Summary
Wildfire risk on the West Coast is no longer a seasonal event โ it is a permanent operational reality. Utilities and service providers operating across California, Oregon, and Washington face mounting regulatory obligations, rising liability exposure, and a transforming climate that demands proactive, data-driven action.
This guide draws on publicly filed Wildfire Mitigation Plans, field-validated inspection methodologies, regulatory frameworks from the CPUC, Cal OEIS, OPUC (Oregon), and WUTC (Washington), and proven vendor technologies. It is intended as both a strategic planning resource and an operational reference for utilities, joint-use infrastructure operators, and contracted service providers.
Empowering Operators to Stop Ignitions Before They Start
FTD Launch specializes in training and equipping drone pilots and infrastructure professionals to deliver the inspection, data, and situational awareness capabilities that form the backbone of modern wildfire mitigation programs. This guide is your roadmap to building a program that meets regulatory requirements, reduces liability, and protects the communities you serve.
West Coast Fire Risk Landscape
Understanding the geographic, climatic, and infrastructure threats driving utility wildfire exposure across California, Oregon, and Washington.
2024โ2025 Season Overview
The West Coast experienced two consecutive record-stress fire seasons. Oregon shattered its all-time record in 2024. Washington more than doubled its 10-year average. California maintained near-record pace with over 1 million acres burned.
63% of 2025 Pacific NW Fires Were Human-Caused
USDA Forest Service data shows human ignitions dominated early and mid-season activity across Oregon and Washington in 2025, reinforcing the importance of infrastructure-focused prevention and public awareness programs โ both areas where service providers can drive measurable reduction.
High Fire Threat Districts (HFTD) โ California
The California Public Utilities Commission (CPUC) designates High Fire-Threat Districts (HFTD) through a Tier system based on utility-caused ignition risk โ separate from CAL FIRE's own hazard severity maps. All three investor-owned utilities (PG&E, SCE, SDG&E) are required to apply enhanced safety protocols within HFTD boundaries.
HFTD tiers from CPUC designation. HFRA = High Fire-Risk Area (utility-defined internal zones, often more stringent than HFTD).
Oregon & Washington Wildfire Risk Zones
Oregon's Office of State Fire Marshal and the Washington Utilities and Transportation Commission (WUTC) have both adopted WMP requirements, with Oregon passing modified liability legislation and Washington implementing mandatory annual filings. PacifiCorp โ serving both states โ maintains active WMPs under both Oregon's and California's frameworks.
California High Risk Zones
Sierra Nevada foothills, Central Coast ranges, North Bay/Wine Country, Southern California mountains, Inland Empire interface โ all mapped in HFTD Tier 2/3.
Oregon Risk Zones
Cascade Range east slopes, Rogue Valley, Eastern Oregon high desert, Willamette Valley fringe โ driven by dryness, easterly winds, and dense fuel loads.
Washington Risk Zones
Okanogan Highlands, Eastern Cascades, Columbia Basin โ prone to extreme wind events. Washington had 288,000+ acres burned in 2024, over double the 10-year average.
Key Ignition Drivers in Utility Infrastructure
Conductor-Vegetation Contact
Tree and branch contact with energized conductors โ especially under high wind conditions โ is the single largest utility-caused ignition pathway. HFTD areas require minimum 4-ft clearance; non-HFTD requires 1.5 ft.
Equipment Failure & Arcing
Aged hardware, corroded conductors, and damaged insulators can arc or spark under normal operating conditions. Thermal imaging inspections detect high-resistance connections before they fail.
Structural Failure
Pole lean, groundline deterioration, and overloaded joint-use attachments can cause conductor drop events โ especially under wind or ice loading. Intrusive groundline inspections are critical in WUI zones.
Animal & Foreign Object Contact
Squirrels, raptors, and mylar balloons account for a significant proportion of distribution-level ignitions. Animal guards, raptor diverters, and covered conductors reduce this risk.
Down Conductor Events
High-impedance faults from down conductors โ where a broken energized line contacts ground without tripping a breaker โ are a leading cause of fire starts. Down Conductor Detection (DCD) technology addresses this gap.
Regulatory Framework
A state-by-state guide to WMP mandates, filing requirements, liability structures, and oversight bodies across California, Oregon, and Washington.
Oversight Bodies at a Glance
| State | WMP Requirement | Filing Frequency | Review Body | Liability Standard | Key Rule/Law |
|---|---|---|---|---|---|
| California | Mandatory โ all IOUs and certain POUs | Annual (shifting to 4-year cycle per SB 254) | Cal OEIS (approval); CPUC (cost review) | Inverse condemnation + modified if WMP approved | SB 901 (2018), SB 254, PUC ยง8386 |
| Oregon | Mandatory (2022+) | Annual | OPUC | Modified damages (independent of WMP) | ORS 757; HB 2005 (2021) |
| Washington | Mandatory (2023+) | Annual | WUTC | Negligence-based; WMP supports liability defense | HB 1709 (2023) |
| Federal | Voluntary (NERC/FERC standards apply) | Varies | NERC / FERC | Federal reliability standards; BES risk | NERC FAC-003; FERC Order 849 |
California Requirements in Detail
California maintains the most mature and prescriptive wildfire regulatory regime in the nation. Under SB 901 (2018), every electrical corporation in the state must submit a Wildfire Mitigation Plan annually to Cal OEIS for review and approval. The CPUC provides supplemental review, particularly for cost recovery. California's WMP requirements cover:
General Order 95 (GO 95)
Prescribes construction standards for overhead electric lines, including conductor clearances, pole strength, and workmanship. Utilities must demonstrate GO 95 compliance in all HFTD areas.
General Order 165 (GO 165)
Mandates inspection schedules for overhead electric facilities. Requires detailed and patrol inspections on defined cycles, with enhanced frequency in HFTD areas.
CA Public Resources Code ยง4292โ4293
Requires utilities to maintain clearances around poles (10 ft to powerlines) and to remove "hazard trees" from the potential fall zone within HFTD areas. Governs firebreaks and fuel management.
CPUC Resolution ESRB-4
Extends hazardous tree removal requirements to the potential fall zone of powerlines in Tier 2 and 3 HFTD areas โ requiring proactive removal even where no immediate clearance violation exists.
How This Affects Contractors and Service Providers
Service providers performing inspections, vegetation management, or pole work within HFTD areas must demonstrate alignment with GO 95, GO 165, and PRC ยง4292โ4293. FTD Launch drone programs are designed to generate the data formats and audit trails required for regulatory defensibility across all three states.
WMP Filing Components
A complete WMP submission to Cal OEIS / OPUC / WUTC typically includes the following sections. Service providers supporting utility WMP programs should understand these elements to align deliverables accordingly.
Wildfire Risk Scoring System
A field-deployable, zero-ambiguity dual-layer risk model that combines infrastructure condition with real-time environmental data to produce a single actionable score.
The Three-Score Model: WRS โ DWRI โ TRS
Effective wildfire risk management requires more than knowing what an asset looks like today โ it requires knowing how dangerous it is right now. The FTD Launch scoring framework integrates three complementary scores into a unified Total Risk Score that drives all operational decisions.
WRS โ Wildfire Risk Score
The WRS evaluates each infrastructure asset across five weighted categories using a structured 0โ5 scale that eliminates subjective scoring.
| Category | Weight | What It Measures | Key Risk Indicator |
|---|---|---|---|
| Structural Integrity | 25% | Pole lean, groundline condition, shell rot, cracking, guy wire stability | Pole lean >15ยฐ, confirmed groundline failure โ Score 5 |
| Clearance Compliance | 20% | Conductor-to-attachment spacing, sag, equipment crowding | Conductor contact or imminent contact โ Score 5 |
| Vegetation Risk | 20% | Proximity of trees/brush to energized conductors | Vegetation contacting conductor + dry conditions โ Score 5 |
| Environmental Exposure | 20% | Terrain slope, wind corridors, WUI proximity, fuel density | Historical fire zone + steep terrain + high wind โ Score 5 |
| Asset Condition | 15% | Crossarms, insulators, conductor, transformers, attachments | Failed condition, hanging cable, detached equipment โ Score 5 |
DWRI โ Dynamic Wildfire Risk Index
The DWRI is calculated daily (or in real-time during fire weather events) from five environmental inputs, normalized to a 0.0โ1.0 scale.
Wind Speed
Score 0โ5 based on sustained wind velocity. โฅ30 mph = Score 4. Red Flag/gusting โฅ50 mph = Score 5. Primary driver of conductor movement and fire spread.
Temperature
Score 0โ5 based on ambient temperature. Elevated temps accelerate conductor sag and vegetation drying. Combined with low humidity = compounding risk.
Relative Humidity
Score 0โ5 inversely correlated with humidity. Below 15% = Score 5. Low humidity is the single greatest accelerant to ignition probability.
Fuel Moisture
Score 0โ5 based on dead fuel moisture content. Below 9% = Score 5. Integrates seasonal drought data, recent precipitation, and field samples.
Fire Weather Alerts
Score 0 (none), 2 (Fire Weather Watch), 3 (Red Flag Warning), 5 (active Red Flag + advisory). Official NOAA designations automatically escalate DWRI.
TRS Risk Bands & Required Actions
All Elevated-or-Higher Assets Treated as High Risk During Fire Weather Events
During any DWRI โฅ 0.6 condition, all assets with TRS โฅ 41 (Elevated) must be managed as High Risk minimum. Do not rely on pre-computed TRS values during active FWOP activations โ re-score dynamically.
Drone & LiDAR Inspection Operations
How to design, deploy, and scale a FAA Part 107-compliant drone inspection program that meets GO 165 requirements, generates regulatory-defensible data, and delivers measurable wildfire risk reduction.
The Case for UAS-Based Utility Inspection
Drone inspections find an average of 50% more issues than traditional ground-based methods, while reducing inspection costs by up to 25% and eliminating many of the safety risks associated with climbing or helicopter work.
Inspection Sensor Stack
Modern utility wildfire inspections require a multi-sensor approach. A single flight can simultaneously feed multiple data products when properly configured:
| Sensor | Primary Use | Wildfire Application | Key Output |
|---|---|---|---|
| RGB Camera (4K+) | Visual asset inspection | Structural defects, hardware condition, attachment identification | Close Visual Inspection (CVI) images; defect photo evidence |
| LiDAR | 3D point cloud mapping | Conductor sag, vegetation encroachment distance, clearance violations | Engineering-grade clearance data; GO 95 compliance documentation |
| Thermal / Infrared | Heat anomaly detection | Overheated connections, failing insulators, degraded conductors | Pre-failure detection before visible signs appear |
| Multispectral | Vegetation health mapping | Fuel moisture estimation, dying/stressed vegetation identification | Priority vegetation management targeting |
GO 165 Inspection Schedule Alignment
California's GO 165 mandates specific inspection types and frequencies. Drone programs must be designed to fulfill โ and document โ these requirements in HFTD areas.
| Asset Type | Inspection Type | Frequency | UAS Role |
|---|---|---|---|
| Transmission | Detailed Inspection | Every 3 years | Primary โ replaces or supplements ground crew |
| Transmission | Infrared Aerial | Every 3 years | Primary โ thermal payload required |
| Transmission | Climbing Inspection | Every 3 years | Supplement โ close-in visual before climbing decision |
| Distribution | Detailed Inspection | Every 3 years | Primary โ high-volume, scalable coverage |
| Distribution | Overhead Equipment | Every 3 years | Primary โ hardware and attachment condition |
| Distribution | Aerial / LiDAR | Varies; once for LiDAR | Primary โ initial LiDAR baseline required |
| Distribution | Ground Patrol | As needed, HFTD | Supplement โ drone confirms flagged locations |
FAA Part 107 Program Requirements
All commercial UAS operations for utility inspection must be conducted under FAA Part 107. Key operational requirements for HFTD work include:
From Certified Pilot to Utility-Ready Inspector
FTD Launch training programs prepare drone pilots not just to pass the Part 107 exam, but to operate within the specific protocols, data standards, and documentation requirements that utility clients demand. This includes defect classification, photo evidence standards, GPS tagging, and QAQC workflows that directly feed WMP compliance reporting.
Data Workflow: Capture to Corrective Action
Pre-Flight Planning & Risk Assessment
Review GIS asset list, confirm pole IDs and coordinates, check airspace, weather, and TFRs. Complete SSSP. Load flight plan into GCS.
Multi-Sensor Data Capture
Execute structured flight pattern: CVI orbit at 8โ15 ft, LiDAR corridor pass, thermal scan of conductors and hardware. Capture minimum 6โ12 images per structure with GPS tagging.
Field QAQC & Data Validation
Review imagery in field before departing. Confirm all required structure photos captured. Flag re-flights for missed or obstructed assets. Complete digital inspection form with WRS inputs.
Processing & AI Defect Detection
Upload raw data to inspection platform (e.g., iHawk, Sherlock). AI models flag anomalies. Human review confirms and classifies defects per Priority 1/2/3 criteria.
Risk Scoring & Work Package Generation
WRS calculated per asset. DWRI applied to generate TRS. System generates prioritized work packages by geographic cluster, risk band, and responsible party.
Engineering Review & Regulatory Reporting
High-TRS assets routed to engineering for pole loading or MRE. Completed inspections exported to WMP QDR format. All records retained for audit trail.
Vegetation Management Program
From clearance standards to hazard tree programs โ building a defensible, data-driven vegetation management operation aligned with state regulations.
Vegetation management is the highest-volume component of any WMP. In California alone, major utilities inspect approximately 80,000 miles of distribution overhead lines annually. Across Oregon and Washington, similar obligations exist โ and drone-enabled aerial inspection is transforming how this work is scoped, prioritized, and verified.
Clearance Standards by Zone
| Location | Minimum Clearance (Radial) | Clearance at Time of Trim | Authority |
|---|---|---|---|
| Non-HFTD Distribution | 1.5 ft | Greater to ensure year-round compliance | GO 95, App. E |
| HFTD Distribution | 4 ft | Greater to ensure year-round compliance | GO 95, App. E + PRC ยง4293 |
| Utility Poles (to powerlines) | 10 ft vertical clearance | Firebreak maintained to powerlines | PRC ยง4292 |
| Hazardous Tree (fall zone) | Full removal required | N/A โ tree removed | GO 95 + ESRB-4 |
Two-Program Distribution Model
Distribution Routine Patrol
Annual inspection of all distribution overhead facilities to identify clearance violations and vegetation requiring trimming. Work is planned based on growth cycles and seasonal drying forecasts. Drone-assisted patrol replaces truck rolls in difficult terrain.
Distribution Hazard Patrol
Enhanced patrol in high-risk and high-consequence areas targeting hazard trees โ those with structural defects, root damage, or disease that create fall-zone risk regardless of current clearance status. Requires TRAQ-certified arborist decision support.
Vegetation Risk Scoring Integration
Vegetation risk is scored using the same 0โ5 scale as other WRS categories. However, vegetation scores interact directly with Environmental Exposure and Fuel Moisture DWRI inputs โ meaning a vegetation score of 3 during a Red Flag Warning escalates the TRS far more dramatically than during a wet winter patrol.
| Vegetation Score | Condition | Priority | Action Required |
|---|---|---|---|
| 0 | No vegetation within 10 ft of conductors | None | Routine monitoring |
| 1 | Vegetation within 5โ10 ft, no immediate risk | Low | Monitor; include in annual patrol scope |
| 2 | Within 3โ5 ft; seasonal growth may create contact | P3 | Schedule for next patrol cycle |
| 3 | Within 1โ3 ft; overhang above conductor | P2 | Schedule trim within 30 days |
| 4 | Contacting communication cable or within strike distance | P2โP1 | Expedited trim; evaluate for hazard tree designation |
| 5 | Contacting energized conductor; dry conditions present | P1 | Immediate โ same-day trim or de-energization |
Technology Enablers
LiDAR Clearance Measurement
Engineering-grade point clouds from drone LiDAR provide sub-centimeter conductor-to-vegetation distance calculations โ replacing manual measuring tapes and eliminating clearance estimation errors.
Satellite Vegetation Monitoring
Planet Labs delivers daily 3m-resolution imagery tracking vegetation encroachment, fuel drying, and growth patterns across entire service territories โ enabling proactive work scoping between inspection cycles.
AI Strike Tree Detection
Deep learning models trained on LiDAR achieve >90% accuracy in identifying potential strike trees โ prioritizing hazard tree programs to the highest-risk locations while reducing unnecessary removals.
System Hardening & Undergrounding
Permanent risk reduction through infrastructure upgrades โ covered conductors, strengthened poles, and undergrounding programs that eliminate ignition potential at its source.
System hardening is the only tool that provides permanent, structural risk reduction. While operational programs (EPSS, PSPS, vegetation management) mitigate risk daily, hardening eliminates the ignition source entirely โ and with it, the need for ongoing operational intervention.
Undergrounding
Moving powerlines underground eliminates approximately 98% of wildfire ignition risk permanently. PG&E has completed 1,240+ miles since 2021 and is on track for 1,900 total miles by end of 2027, at an average cost of ~$3.25M/mile โ down 25% from pre-2021 costs.
Covered Conductor & Pole Hardening
Where undergrounding is not feasible, covered conductor installation reduces wildfire ignition risk by approximately 67%. Strengthened poles, fire-resistant crossarms, and additional support poles increase structural resilience under high wind and ice loading.
Hardening Investment Priorities
Risk models evaluate both probability (equipment type, inspection history, environmental exposure) and consequence (population density, structure density, ingress/egress) to determine where hardening delivers the greatest risk reduction per dollar invested.
| Upgrade Type | Risk Reduction | Best Suited For | Key Benefit |
|---|---|---|---|
| Undergrounding (Primary) | ~98% | Dense WUI, steep terrain, high-risk corridors | Permanent ignition elimination; 90% fewer outages |
| Covered Conductor | ~67% | Areas where UG not feasible; rural HFTD | Cost-effective hardening; protects against object/vegetation contact |
| Fire-Resistant Poles | Structural | High-wind corridors, steep terrain | Reduces conductor drop risk; improves load tolerance |
| Reclosers / Fuse Savers | Operational | All HFTD circuits | Limits outage extent; reduces ignition duration if fault occurs |
| Down Conductor Detection (DCD) | High-impedance faults | EPSS-protected circuits | Detects ground contact without breaker trip |
Pre-Construction Assessment & Design Support
Hardening programs require detailed pre-construction asset assessment, including pole loading analysis for new covered conductor weight, clearance validation for rerouting, and joint-use notification for telecommunications co-owners. Drone and LiDAR programs are used extensively in this pre-design phase to generate the precise geospatial data needed for engineering decisions.
Fire Weather Operations Protocol
A three-tiered operational response framework activated when DWRI conditions indicate elevated ignition probability โ transforming real-time weather data into immediate field actions.
FWOP Activates When DWRI โฅ 0.6 OR Red Flag Warning Is Issued
Once activated, the Fire Weather Operations Protocol overrides standard maintenance schedules. All operations shift to a risk-minimization posture. De-activation requires DWRI to fall below 0.4 for a sustained 24โ48 hour period.
Three-Level Response Model
Level 1 โ Elevated Awareness (DWRI 0.4โ0.6)
Increase high-risk asset monitoring. Review 72-hour weather forecast. Prepare crews and stage resources. Validate high-TRS pole lists for rapid escalation.
Level 2 โ Active Readiness (DWRI 0.6โ0.8)
Pre-stage crews in high-risk corridors. Prioritize inspection of High/Severe TRS assets. Initiate targeted drone sweeps. Suspend non-essential work that adds attachment risk. Daily operational briefings.
Level 3 โ Full Activation (DWRI 0.8+ or Red Flag)
Deploy rapid-response teams to highest-TRS assets. Real-time briefings. Emergency vegetation trimming where needed. Stabilize compromised structures. Consider PSPS/EPSS enablement in critical segments. All teams coordinate under unified command.
EPSS & PSPS Integration
California utilities deploy two complementary powerline shutoff tools during elevated fire weather conditions. Understanding these tools is critical for service providers whose crews may be working during, before, or after activation events.
| Program | Trigger | Scope | Customer Impact |
|---|---|---|---|
| EPSS โ Enhanced Powerline Safety Settings | FPI โฅ R3; wind โฅ19โ25 mph; RH โค20โ25%; dead fuel moisture โค9% | ~47,000 circuit miles; 2M customers in/around HFRA | Rapid automatic shutoff on fault detection; 60-min response target |
| PSPS โ Public Safety Power Shutoff | Extreme, widespread fire weather event; Red Flag Warning + severe wind forecast | Targeted circuits in highest-risk areas | Planned, pre-notified shutoff; multi-day in extreme events |
PG&E's EPSS program prevented 2,015 wildfire hazards from causing ignitions between 2022โ2025, and contributed to a 95% reduction in fires greater than 10 acres from EPSS-related ignitions in 2025.
Post-Event Review Requirements
Every FWOP activation must be followed by a structured after-action review within 72 hours of deactivation:
- Assets inspected and actions taken during activation period
- Defects identified or escalated โ were they caught before an incident?
- Response gaps โ time from DWRI threshold to crew deployment
- Model accuracy โ did the DWRI match actual conditions on the ground?
- Update scoring thresholds and FWOP activation criteria based on findings
Developing Your Wildfire Mitigation Plan
A practical 10-month blueprint for utilities and service providers to research, draft, file, and implement a WMP that satisfies regulatory requirements and drives real risk reduction.
Developing a WMP is a 10-month process requiring input from hundreds of stakeholders across operations, engineering, IT, legal, and community relations. For utilities new to the process, this chapter provides a structured roadmap. For service providers, it defines the deliverables you need to produce to support your utility clients' WMP filings.
Maturity Model Framework
California's Office of Energy Infrastructure Safety (Cal OEIS) uses a Wildfire Mitigation Maturity Model to assess the relative sophistication of a utility's program. The International Wildfire Risk Mitigation Consortium (IWRMC) has developed a parallel model adopted by utilities globally. New utilities should use these models to establish a baseline and build a continuous improvement roadmap.
Level 1 โ Reactive
Compliance-driven inspections only. No risk scoring. Incident response, not prevention. Common in utilities new to WMP obligations.
Level 2 โ Structured
Systematic inspection programs. Basic WRS scoring. Annual VM planning. EPSS/PSPS protocols defined. First WMP filing submitted.
Level 3 โ Predictive
Dynamic risk scoring (WRS + DWRI + TRS). Drone/LiDAR programs operational. AI-assisted defect detection. Real-time situational awareness. FWOP fully deployed.
Where to Find WMP Templates and Databases
PNNL Wildfire Mitigation Plans Database โ wildfire.pnnl.gov โ tracks 175+ organizations across 19 states and provinces. Excellent reference for understanding how peer utilities structure their plans and how strategies evolve across filing cycles. NARUC Wildfire Workbook for Utility Regulators โ free resource covering policy, content requirements, and regulatory best practices for WMP development.
Technology & Data Infrastructure
The platforms, sensors, AI tools, and data integration architectures that power a modern wildfire mitigation program โ from the field to the boardroom.
Over the past decade, the most advanced utilities have transformed from reactive event-responders into data-driven, predictive risk management organizations. The technology infrastructure enabling this transformation falls into four domains: sensing, modeling, operations, and data integration.
Technology Stack Overview
| Domain | Technology | Wildfire Application | Providers |
|---|---|---|---|
| Sensing | AI cameras, weather stations, soil sensors | Real-time ignition detection, weather monitoring, fuel moisture | PanoCam, ALERTWest, WWG, GridWare |
| Aerial Intelligence | Drone/LiDAR, helicopter, satellite | Asset inspection, vegetation mapping, situational awareness | Cyberhawk, Planet Labs, SharperShape |
| Fire Behavior Modeling | FPI, CFB simulation, spread modeling | Fire potential forecasting, consequence modeling, PSPS decisions | Technosylva, Forsite, XyloPlan |
| Data Platform | Cloud GIS, asset management, inspection platforms | Work packaging, QDR reporting, regulatory data delivery | Esri, Sherlock (PG&E), iHawk (Cyberhawk), AWS |
| AI/ML Analytics | Defect detection, risk scoring, predictive failure | Automated defect classification, vegetation strike prediction | AiDASH, Overstory, AWS Perception AI |
| Operational Comms | PSPS platforms, notification systems | Customer notifications, agency coordination, FWOP communications | Everbridge, SmartComms (PG&E) |
Fire Potential Index (FPI)
PG&E's FPI model โ currently at version 5.5 โ uses machine learning to evaluate catastrophic fire probability across 400,000 sub-kilometer grid cells, outputting a risk level from R1 (low) to R5 (extreme). Key FPI thresholds for operational decisions:
R3+ conditions historically account for 97% of acres burned and 100% of property damage in PG&E's service area.
Recommended Technology Integration for Service Providers
Stakeholder Communications
Building trust through transparency โ how utilities and service providers communicate wildfire risk, outage impacts, and safety programs to regulators, communities, and customers.
Effective wildfire communication is not about managing perception โ it's about earning trust through consistent, transparent, year-round engagement. Utilities and service providers that communicate proactively build the goodwill needed when difficult decisions (like PSPS events) must be made quickly.
Stakeholder Engagement Matrix
| Stakeholder Group | Communication Goal | Key Channels | Frequency |
|---|---|---|---|
| Regulators (Cal OEIS / CPUC) | WMP compliance; QDR reporting; performance metrics | Official filings, data portals, regulatory meetings | Quarterly + Annual |
| County Emergency Managers | PSPS coordination; ingress/egress; joint response planning | Annual contingency plan meetings; direct calls during events | Annual + Event-triggered |
| CAL FIRE / Local Fire Agencies | Preseason briefings; fast-trip settings coordination; ICS alignment | Agency rep program; tabletop exercises; seasonal outlooks | Annual preseason + Ongoing |
| Tribal Governments | Unique fire safety needs; service continuity; cultural resource protection | Direct outreach; co-design of communications; WMP community input | Year-round |
| Customers (HFTD/HFRA) | Outage preparation; AFN support; backup power resources | Direct mail, email, text, social media, community events | Seasonal + Event-triggered |
| Media | Accurate public information; amplify safety preparedness | Press releases, media briefings, spokesperson protocols | Ongoing |
PG&E's First Responder Workshop Program
Since 2012, PG&E's Public Safety Specialist program has delivered utility safety education to over 87,000 public safety members โ covering gas and electrical emergency response. This program has become one of the most sought-after curricula in the first responder community and is a model for how utilities can build deep, trust-based relationships with public safety agencies before incidents occur.
Risk Scoring Quick Reference
Complete scoring tables for WRS categories and DWRI factors for rapid field use.
WRS Scoring โ All Five Categories
| Score | Structural Integrity | Clearance Compliance | Vegetation Risk | Environmental Exposure | Asset Condition |
|---|---|---|---|---|---|
| 0 | Plumb; no damage | All clearances compliant | No veg within 10 ft | Flat; low wind; low fuel | New/excellent condition |
| 1 | Minor weathering; no structural impact | Tight but compliant | Veg 5โ10 ft; no risk | Mild exposure | Minor cosmetic wear |
| 2 | Lean 2โ5ยฐ; early shell rot | Spacing appears to encroach 1โ2 ft of minimum | Veg 3โ5 ft; seasonal risk | Moderate wind or seasonal dryness | Moderate wear; aging hardware |
| 3 | Lean 5โ10ยฐ; visible rot; moderate cracking | Probable violation; sag risk โ Eng. Review | Veg 1โ3 ft; overhang โ P2 | Known wind corridor or slope | Degraded; broken lashing; loose hardware โ P2 |
| 4 | Lean 10โ15ยฐ; groundline suspected; anchor instability โ Eng. Required | Confirmed deficiency โ P2 | Contacting comm cable; strike distance โ P2/P1 | High fire-prone area; heavy fuels; WUI | Severe deterioration; abandoned attachments โ P2/P1 |
| 5 | Lean >15ยฐ; confirmed groundline failure โ P1 Immediate | Conductor contact or imminent โ P1 | Contacting energized conductor + dry conditions โ P1 | Extreme fire history; steep; high wind funnel | Failed condition; hanging cable; detached equipment โ P1 |
DWRI Scoring โ Environmental Factors
| Score | Wind Speed | Temperature | Relative Humidity | Fuel Moisture | Fire Weather Alerts |
|---|---|---|---|---|---|
| 0 | <10 mph | <75ยฐF | >50% | >20% | None |
| 1 | 10โ15 mph | 75โ85ยฐF | 40โ50% | 15โ20% | No active alert |
| 2 | 15โ25 mph | 85โ95ยฐF | 25โ40% | 12โ15% | Fire Weather Watch |
| 3 | 25โ35 mph | 95โ105ยฐF | 15โ25% | 9โ12% | Red Flag Warning issued |
| 4 | 35โ50 mph | 105โ115ยฐF | 10โ15% | 6โ9% | Red Flag + Advisory |
| 5 | >50 mph gusts | >115ยฐF | <10% | <6% | Active RFW + Extreme conditions |
TRS Work Prioritization Reference
| Priority | TRS Range | Field Action | Engineering | Timeline |
|---|---|---|---|---|
| Critical | >100 | Fire-Day Protocol; rapid response; emergency stabilization | Immediate evaluation; de-energization if applicable | Same-day |
| Severe | 81โ100 | Immediate prioritization; urgent work queue; pre-stage crews | Required โ reinforcement or replacement | 1โ3 days |
| High | 61โ80 | Expedited correction; active work package; increased inspection freq. | Required โ pole loading or MRE | <2 weeks |
| Elevated | 41โ60 | Near-term maintenance; engineering screening | Screening required | <60 days |
| Moderate | 21โ40 | Plan maintenance; routine VM; monitor progression | Not required unless worsening | Next cycle |
| Low | 0โ20 | Routine monitoring; standard inspection cycle | Not required | Standard cycle |
Program Readiness Checklist
A practical self-assessment tool for utilities and service providers evaluating their wildfire mitigation program maturity.
Regulatory & Planning
- WMP filed with applicable state regulator (Cal OEIS / OPUC / WUTC)
- HFTD / HFRA map current and internally validated
- QDR data structure established and reporting cadence confirmed
- GO 95 and GO 165 compliance documentation current
- WMP maturity model baseline completed
Inspection Operations
- Drone inspection program staffed with FAA Part 107 certified pilots
- LiDAR baseline completed for all HFTD distribution circuits
- Defect classification system aligned to Priority 1/2/3 and WRS scoring
- Photo evidence standards documented and QAQC enforced
- Engineering review triggers and escalation paths documented
Vegetation Management
- Annual VM work plan scoped using GIS risk prioritization
- Hazard tree program active with TRAQ-certified arborist oversight
- Clearance standards documented for HFTD and non-HFTD zones
- One VM database or equivalent multi-year data system operational
- Remote sensing (satellite/drone) integrated into VM inspection planning
Fire Weather Operations
- FWOP activation criteria documented with DWRI thresholds
- EPSS / PSPS protocols defined with clear enablement criteria
- 60-minute outage response target established for HFRA circuits
- Pre-staged crew deployment plan for Level 2 and 3 FWOP
- Post-event review template and process in place
Technology & Data
- FPI or equivalent fire potential model integrated into operations
- AI-enabled inspection platform with defect detection operational
- Real-time weather station network deployed in HFTD areas
- GIS-based risk dashboard accessible to field, engineering, and leadership
- All inspection data in audit-ready, regulatory-compatible format
Stakeholder Engagement
- Annual agency coordination meetings with all county emergency managers
- CAL FIRE / ODF / DNR preseason coordination completed
- AFN customer identification and outreach program active
- Community wildfire safety resources published and updated annually
- Internal WMP training completed for field, engineering, and operations teams
