NTSB CAROL · Event
Event ANC06LA134
Registry · N3125N
FAA Aircraft Registry record.
Make / Model
DEHAVILLAND DHC-3
Year of manufacture
1960 · 46 years old at event
Engine
P&W R1340 SERIES (600 hp)
Seats / Engines
16 seats · 1 engine
Last airworthiness date
19880203
ADS-B equipped
Yes — Mode-S A35153
Registrant of record
KATMAI AIR LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to adequately compensate for wind conditions during the landing roll, which resulted in a loss of control, and subsequent collision with a ditch when the airplane departed the runway. A factor contributing to the accident was a crosswind.
Factual narrative
On September 2, 2006, about 1245 Alaska daylight time, a wheel-equipped de Havilland DHC-3 airplane, N3125N, sustained substantial damage when it departed the runway and collided with a ditch during the landing roll at the Wainwright Airport, Wainwright, Alaska. The airplane was being operated as a visual flight rules (VFR) cross-country non-scheduled cargo flight under Title 14, CFR Part 135, when the accident occurred. The airplane was operated by Alaska Air Taxi, LLC., Anchorage, Alaska. The airline transport certificated pilot, the sole occupant, was not injured. Visual meteorological conditions prevailed, and a VFR flight plan was filed. The flight originated at the Wiley Post/Will Rogers Memorial Airport, Barrow, Alaska, about 1200. During a telephone conversation with the National Transportation Safety Board (NTSB) investigator-in-charge (IIC), on September 2, the pilot reported that he was landing on runway 23 at Wainwright. The gravel surface runway is 4,494 feet long, and 90 feet wide. The pilot said that during the landing roll, the airplane suddenly veered to the left. He applied right brake and right rudder, but the airplane departed off the left side of the runway, rolled down an embankment, and collided with a ditch. The left main landing gear assembly was fractured and displaced aft, against the fuselage. The propeller, engine, and the left wingtip struck the ground. On September 20, the chief pilot for the operator reported that after delays in getting recovery equipment to Wainwright, the airplane was recovered and disassembled for removal to Anchorage. The chief pilot indicated that the left aileron received structural damage, and the fuselage firewall had buckling and structural damage. In the Pilot/Operator Aircraft Accident Report (NTSB Form 6120.1) submitted by the pilot, the pilot indicated that the wind at the airport was from 180 degrees. He described the wind strength as 10 knots or greater, indicated by streaks of white foam on many nearby lakes, with the streaks of foam appearing perpendicular to the runway. In the Recommendation '(How could this accident have been prevented?)' portion of the NTSB accident report, the pilot stated: "I should not have landed at Wainwright that day with that crosswind condition. Having significant experience in that aircraft and over 1,200 hours in tailwheel aircraft, I felt that I could handle the crosswind situation." The airline transport certificated pilot was landing a wheel-equipped airplane on runway 23, during a Title 14, CFR Part 135, cargo flight. The pilot indicated that the wind at the airport was from 180 degrees. He described the wind strength as 10 knots or greater, indicated by streaks of white foam on many nearby lakes, with the streaks of foam appearing perpendicular to the runway. During the landing roll, the airplane suddenly veered to the left. The pilot applied right brake and right rudder, but the airplane departed off the left side of the runway, rolled down an embankment, and collided with a ditch. The airplane received structural damage to left main landing gear assembly, the left aileron, and the fuselage. In the Recommendation '(How could this accident have been prevented?)' portion of the NTSB accident report, the pilot indicated that he should not have landed with the existing crosswind. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2006_ANC06LA134.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (loss of control). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
Browse the full corpus — academia portal ↗