NTSB CAROL · Event
Event ERA22LA413
Registry · N388TC
FAA Aircraft Registry record.
Make / Model
CESSNA 172
Year of manufacture
1956 · 66 years old at event
Engine
FRANKLIN 6ACT298 SER (130 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19561130
ADS-B equipped
Yes — Mode-S A47AAE
Registrant of record
DOPSON JOEL A
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
A total loss of engine power due to of carburetor ice. Contributing to the accident was the pilot’s failure to apply carburetor heat.
Factual narrative
On September 13, 2022, about 1132 eastern daylight time, a Cessna 172, N388TC, was substantially damaged when it was involved in an accident near Chattanooga, Tennessee. The airline transport pilot and passenger were not injured. The airplane was operated as a Title 14 Code of Federal Regulations Part 91 personal flight. According to the pilot, during a previous off-airport landing on an unimproved surface, the right tire impacted an object and was losing air pressure. He ultimately elected to land at Lovell Field Airport (CHA), Chattanooga, Tennessee. He declared an emergency with air traffic control and advised them he intended to make multiple low passes over a grass area adjacent to runway 20 to determine the best touchdown point. He made two low passes over the area he selected, initiating a go-around after the second low pass. During climbout, with the airplane about 350 ft above ground level and at 65 mph, the engine lost power. Engine power was briefly restored before being lost again. The airplane impacted uneven terrain outside the airport fence. According to a Federal Aviation Administration inspector, an examination of the airplane revealed that the wings and forward fuselage sustained substantial damage. Fuel was drained from the wings, 7 gallons of fuel was drained from the left wing, 1/2 gallon was drained from the right wing. The carburetor contained 5 ounces of fuel. All fuel drained was free of contaminants. A postaccident examination and engine test run did not reveal any anomalies consistent with a preimpact failure or malfunction. According to the carburetor ice probability chart, the atmospheric conditions at the time of the accident were conducive to serious icing at glide power. FAA Special Airworthiness Information Bulletin (CE-09-35) – Carburetor Icing Prevention, stated that: …pilots should be aware that carburetor icing doesn't just occur in freezing conditions, it can occur at temperatures well above freezing temperatures when there is visible moisture or high humidity. Icing can occur in the carburetor at temperatures above freezing because vaporization of fuel, combined with the expansion of air as it flows through the carburetor, (Venturi Effect) causes sudden cooling, sometimes by a significant amount within a fraction of a second. Carburetor ice can be detected by a drop in rpm in fixed pitch propeller airplanes and a drop in manifold pressure in constant speed propeller airplanes. In both types, usually there will be a roughness in engine operation. The pilot reported that the right landing gear contacted an unseen object while landing on an unimproved surface, which resulted in the tundra tire losing air pressure. After aborting the landing, he flew to an airport where he declared an emergency and advised air traffic control that he intended to land in the grass adjacent to the runway. The pilot made two low passes over a grassy area and, during climb-out from the second low pass, the engine lost all power. The pilot performed a forced landing to uneven terrain outside the airport fence, during which the airplane sustained substantial damage. A postaccident examination and engine test run did not reveal any anomalies consistent with a preimpact failure or malfunction. Weather conditions at the time of the accident were conducive for serious icing at glide power. The pilot did not report using carburetor heat. It is likely that during multiple low passes prior to landing that carburetor ice accumulated, which resulted in a loss of engine power. 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).
- — Aircraft-Aircraft power plant-Engine (reciprocating)-(general)-Inoperative
- — Environmental issues-Conditions/weather/phenomena-Temp/humidity/pressure-Conducive to carburetor icing-Effect on equipment
- — Personnel issues-Task performance-Use of equip/info-Use of equip/system-Pilot
Verbatim from NTSB's published report. Source file
NTSB_2022_ERA22LA413.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, go-around). 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 2019 · Conference Paper
Crash Testing and Simulation of a Cessna 172 Aircraft: Pitch Down Impact Onto Soft Soil
During the summer of 2015, NASA Langley Research Center conducted three full-scale crash tests of Cessna 172 (C-172) aircraft at the NASA Langley Landing and Impact Research (LandIR) Facility.
- NASA NTRS 2019 · Technical Memorandum (TM)
Simulating the Impact Response of Three Full-Scale Crash Tests of Cessna 172 Aircraft
During the summer of 2015, a series of three full-scale crash tests were performed at the Landing and Impact Research Facility located at NASA Langley Research Center of Cessna 172 aircraft.
- 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 · Conference Paper
A Training Study to Improve Monitoring During A Go-Around
As part of an FAA program to improve go-around (GA) safety, we were asked to determine if we could improve the performance of the Pilot Monitoring (PM) during a GA maneuver.
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