NTSB CAROL · Event
Event ANC19LA051
Aircraft involved
Probable cause & findings
The pilot's loss of directional control while landing, which resulted in a runway excursion and collision with terrain.
Factual narrative
On September 3, 2019, about 1315 Alaska daylight time, an amphibious Lake LA-4-200 airplane, N6672L, sustained substantial damage following a runway excursion at the Girdwood Airport (AQY), Girdwood, Alaska. The private pilot was not injured. The airplane was registered to, and operated by, a private individual, under the provisions of 14 Code of Federal Regulations Part 91 when the accident occurred. Visual meteorological conditions prevailed and no flight plan had been filed. The flight departed Merrill Field (MRI), Anchorage, Alaska at 1230 destined for AQY. According to the pilot, after departing PAMR the landing gear and flaps failed to retract, so he verified that the hydraulic pump circuit breaker had not opened and noted that the hydraulic pressure gauge indicated zero. He utilized the emergency hydraulic hand pump and was able to successfully retract both the landing gear and wing flaps. Upon arrival at AQY, the hand pump was once again utilized to extend both the landing gear and wing flaps. After touchdown, in an effort to slow and steer the airplane, the wheel brakes were applied but did not work properly. The airplane exited the runway, proceeded down an embankment and came to rest on its left wing and hull, sustaining substantial damage to the left wing and fuselage. According to the Lake LA-4 Owner's Manual, the airplane is equipped with a castering nose wheel, which requires differential braking for directional control. The hydraulic system is used to operate the landing gear, flaps, and longitudinal trim, and is composed of an integral pump and electric motor, pressure limit switch, accumulator, and reservoir, interconnected by necessary piping, check valves, and restrictors. The brake system is independent of the hydraulic system. An examination of the brake and primary flight control systems revealed no preaccident mechanical malfunctions or anomalies that would have precluded normal operation. The closest official weather observation station to the accident site was Portage Glacier (PATO), Whittier, Alaska, located about 20 miles southeast of the accident site. At 1253, a METAR was reporting, in part, wind, variable at 6 knots; visibility, 10 statute miles; clouds and sky condition, overcast clouds at 5,000 ft; temperature, 55°F; dew point, 52°F; and an altimeter setting of 30.08 inches of mercury. According to the pilot, the landing gear and flaps failed to retract after departure. After verifying that the hydraulic pump circuit breaker had not opened and noting that the hydraulic pressure gauge indicated zero, he was able to successfully retract both the landing gear and wing flaps using the emergency hydraulic hand pump. Upon arrival at his destination, he again used the hand pump to extend both the landing gear and wing flaps. After touchdown, he applied the wheel brakes in an effort to slow and steer the airplane, but the airplane did not slow down. The airplane exited the side of the runway, proceeded down an embankment, and came to rest on its left wing and hull sustaining substantial damage to the left wing and fuselage. Postaccident examination of the brake and flight control systems revealed no preaccident mechanical malfunctions or anomalies that would have precluded normal operation. Although the pilot reported the failure of the airplane's landing gear and wing flap hydraulic system, it was independent of the brake system and therefore was not examined. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Incorrect use/operation - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
Verbatim from NTSB's published report. Source file
NTSB_2019_ANC19LA051.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 (runway excursion). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report
Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World
Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article
Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…
Browse the full corpus — academia portal ↗