NTSB CAROL · Event
Event NYC99LA095
Aircraft involved
Probable cause & findings
The pilot in command's improper preflight preparation, which resulted in fuel exhaustion and subsequent loss of engine power.
Factual narrative
On April 21, 1999, about 1400 Eastern Daylight Time, a Cessna 152, N48005, was substantially damaged during a forced landing near Wall, New Jersey. The certified flight instructor (CFI) and passenger were not injured. Visual meteorological conditions prevailed, and no flight plan was filed for the instructional flight conducted under 14 CFR Part 91. The CFI stated that the flight was intended to introduce the passenger (prospective student) to flight training. During the preflight of the airplane, he visually checked the fuel tanks, and confirmed that reading with the cockpit gauges. The flight departed Allaire Airport, Farmingdale, New Jersey, about 1300. After about 30 minutes of flight, the engine began to run rough. The CFI applied carburetor heat for about 90 seconds, and the engine appeared to run normal again. Approximately 10 minutes later, the engine began to run rough again, and the CFI decided to return to the airport. The fuel gauges were visually checked again by the CFI, and indicated "adequate fuel" in both tanks. About 1 mile from the runway, the engine quit running, and the airplane began to descend. The CFI turned the airplane towards an open grass field, and executed a forced landing. The airplane hit trees located 50 feet prior to the grass field, continued to descend, and impacted the ground. The airplane came to rest on its left side, nose high, wedged between budding trees. Examination of the wreckage by a Federal Aviation Administration Inspector revealed no signs of fuel stains on the airframe or engine. Maintenance personnel removed a jar containing 4 ounces of clear liquid that had a blue tint similar to aviation low lead fuel, from the fuel strainer. The sample did not reveal any signs of water. No fuel was observed in the wing tanks when the wings were removed from the airframe. A review of fuel records indicated that the airplane had been fueled on April 19, 1999, with 12.4 gallons of 100 low lead aviation gasoline, filling the 26-gallon fuel tanks to capacity. A review of invoices provided by the operator of the airplane indicated that the airplane had been flown a total of 4 times prior to the accident flight. The total Hobbs meter flight time for the flights was 5.5 hours. The certified flight instructor (CFI) stated that during the preflight he visually checked the fuel tanks, and confirmed that reading with the cockpit gauges. The flight departed, and after about 30 minutes of flight, the engine lost power. The CFI turned the airplane towards an open grass field, and executed a forced landing. Examination of the wreckage revealed no signs of fuel stains on the airframe or engine. Maintenance personnel removed a jar containing 4 ounces of clear liquid that had a blue tint similar to aviation low lead fuel, from the fuel strainer. The sample did not reveal any signs of water. No fuel was observed in the wing tanks when the wings were removed from the airframe. A review of fuel records indicated that the airplane had been fueled on April 19, 1999, with 12.4 gallons of 100 low lead aviation gasoline, filling the 26-gallon fuel tanks to capacity. A review of invoices provided by the operator of the airplane indicated that the airplane had been flown a total of 4 times prior to the accident flight. The total Hobbs meter flight time for the flights was 5.5 hours. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1999_NYC99LA095.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
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Academic papers and agency reports matching this event's aircraft type or causal vocabulary (fuel exhaustion, maintenance). 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 2026 · Journal article (IJAAA)
From Reactive to Predictive: A hybrid Trust-Mediated Adoption Framework for Data-Driven Maintenance in Distributed-Authority Aviation Environments
Modern aviation maintenance operates within increasingly data-intensive technological environments, yet the operational integration of predictive maintenance into routine decision-making remains incon…
- Semantic Scholar 2025 · Article (Applied Sciences)
Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
The implementation of predictive maintenance (PM) in aviation presents unique challenges due to strict safety requirements, complex operational environments, and regulatory constraints.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER)
Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study in Aviation Maintenance
With timeliness and efficiency being critical in the aviation maintenance industry, the need has been growing for smart technological solutions that optimize and streamline the different underlying ta…
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER)
A New Trajectory in UAV Safety: Leveraging Reinforcement Learning for Distance Maintenance Under Wind Variations
In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle.
- Embry-Riddle Scholarly Commons 2024 · Journal article (IJAAA)
Just Culture in Aviation: A Metaphorical Study on Aircraft Maintenance Students
Just Culture, a sub-dimension of safety culture, has been a prominent and debated topic in aviation safety in recent years.
- Embry-Riddle Scholarly Commons 2024 · Journal article (IJAAA)
Performance PRISM: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance
Aircraft maintenance is governed by rigorous safety requirements and high operational complexity, demanding robust performance measurement frameworks to ensure optimal maintenance practices.
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