NTSB CAROL · Event
Event MIA00LA162
Aircraft involved
Probable cause & findings
The pilot's failure to use proper soft field landing technique while attempting a forced landing to an open field following a loss of engine power which resulted in a hard landing. Factors in the accident were weather conditions conducive to formation of carburetor icing, and the uphill slope of the field chosen for the forced landing.
Factual narrative
On May 18, 2000, about 1620 eastern daylight time, a Cessna A150M, N9843J, registered to a private individual, operating as a Title 14 CFR Part 91 personal flight, crashed in a field in the vicinity of Gainesville, Georgia, following a reported loss of engine power. Visual meteorological conditions prevailed and no flight plan was filed. The airplane received substantial damage and the private-rated pilot and a passenger were not injured. The flight originated from Lawrenceville, Georgia, about 30 minutes before the accident. According to the pilot, he and a friend were sightseeing in the Lake Lanier area at 3,500 feet msl, when they experienced a partial loss of engine power. He completed the checklist items for "engine failure during flight", but lost all engine power, necessitating a forced landing to a vacant field. The touchdown was harder than expected due to upsloping terrain in the direction of the landing. According to the FAA inspector's report, the wreckage was transported to an engine overhaul facility where the Continental O-200A engine, serial no. 253638-A-48, was removed from the airframe, N9834J, and operated with FAA oversight. The fuel used for the postcrash engine run was the same fuel aboard at the time of the accident. The engine started smoothly and operated normally at various power settings with no malfunctions. No evidence of any fluid leakage was noted. Reference to carburetor icing probability charts reveals that an ambient temperature of 84 degrees F and a dew point temperature of 54 degrees F, as reported by the Gainesville, Georgia, AFSS, for the time period of the accident would put the flight's probability within the region labeled, " visible icing at cruise power" and also within the more restrictive region, "serious icing at glide power". A copy of the chart is included as an attachment to this report. According to statements by the pilot and the passenger, at about 3,500 feet msl, while sightseeing in the Lake Lanier area, the engine lost power, and attempts to identify and correct the problem were unsuccessful. The field selected for the forced landing revealed an upslope as they got closer, and the landing touchdown tore off the nose landing gear, the left main wheel, and broke the fuselage behind the rear window. A postcrash engine run, with FAA oversight, using the same fuel aboard at the time of the accident, revealed no engine abnormalities. Using the temperature and dew point reported by the nearest flight service station for the time period of the accident, reference to carburetor icing probability charts would put the flight's probability within the regions classified as, 'visible icing at cruise power', and also within the more restricted, 'serious icing at glide power'. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2000_MIA00LA162.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 (icing, engine failure). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- NASA NTRS 2026 · Contractor Report (CR)
Icing Physics Studies Using the 3D SIDRM Test Article: 2023 Icing Tests Analysis
In-flight icing is an important safety issue and is a factor that affects aircraft design and performance. Newer regulations are driving a need for improvements in airframe and engine icing simulation…
- arXiv 2025 · arXiv preprint
Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Mathematical Model on the Temporal Dynamics of Aviation Competitive Pricing
This study investigates the competitive dynamics of airport pricing using U.S. airport data to validate the findings. It employs linear and nonlinear ordinary differential equation models to analyze t…
- NASA NTRS 2025 · Presentation
NASA Icing Update – March 2025
This NASA Icing Update was prepared for presentation to the SAE International AC-9C Inflight Icing Technology Committee. This update includes the following topics: planned Rotational Icing Scaling tes…
- arXiv 2024 · arXiv preprint
An energy-stable phase-field model for droplet icing simulations
A phase-field model for three-phase flows is established by combining the Navier-Stokes (NS) and the energy equations, with the Allen-Cahn (AC) and Cahn-Hilliard (CH) equations and is demonstrated ana…
- NASA NTRS 2024 · Presentation
NASA Icing Update – Oct 2024
This presentation provides a status update on select NASA icing research activities for the SAE AC-9C Icing Technical Committee Meeting on Oct 21, 2024.
Browse the full corpus — academia portal ↗