ATL05CA159
2005-09-10 · Andulusia, Alabama, United States · None · 1 aircraft · Status: Completed
Airport 79J
Current FAA registration · N8153N
- Make / Model
- PIPER PA-28-140
- Engine
- LYCOMING 0-320 SERIES (180 hp)
- Seats / Engines
- 4 seats · 1 engine
- Last airworthiness date
- 19681219
- ADS-B equipped
- Yes — Mode-S AB1EBD
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's inadequate planning of the fuel supply, which resulted in fuel exhaustion and loss of engine power.
Factual narrative
On September 10, 2005, at 1215 central daylight time, a Piper PA-28-140, N8153N, registered to Lower Latitude Air LLC and operated by AMS Aviation, collided with the ground about four miles north of the Andalusia-Opp Airport in Andalusia/Opp, Alabama. The personal flight was operated under the provisions of Title 14 CFR Part 91 and a flight plan was filed. Visual meteorological conditions prevailed at the time of the accident. The pilot received no injuries, and the airplane sustained substantial damage. The flight departed Anniston Metropolitan Airport in Anniston, Alabama, at 1100 on September 10, 2005. The pilot visually checked the fuel levels of the airplane before departing on the cross country flight. About an hour into the flight and at an altitude of 4,500 the engine began to run rough. At this time, the pilot applied full mixture, switched the fuel selector to the right tank, and the engine recovered. The pilot alerted Cairns Approach Control of the engine problem and of the his intentions to divert to Andalusia. Minutes later the engine loss power again, however the pilot's attempts to restart the engine were unsuccessful, and the pilot elected to force land in a plowed field. During the forced landing, the airplane collided with a furrow in the plowed field. Post-accident examination revealed the nose gear detached and the firewall bent aft. Fuel was not present in either fuel tank and the carburetor contained no fuel. The fuel tanks had not been breached. The pilot visually checked the fuel levels of the airplane before departing on the cross country flight. About an hour into the flight and at an altitude of 4,500 the engine began to run rough. At this time the pilot applied full mixture and switched the fuel selector to the right tank and the engine recovered. The pilot alerted Cairns Approach Control of the engine problem and of the his intentions to divert to Andalusia. Minutes later the engine failed again; and the pilot's attempts to restart the engine were unsuccessful. He elected to make a forced landing in a plowed field. During the landing the airplane collided with a furrow. Post-accident examination revealed the nose gear detached and the firewall bent aft. Fuel was not present in either fuel tank, and the carburetor contained no fuel. The fuel tanks had not been breached. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2005_ATL05CA159.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
- TallyAero Live Wire Aviation press
- NTSB CAROL Agency ↗
- NTSB Docket Agency ↗
- Aviation Safety Network Aviation press ↗
- Kathryn's Report Aviation press ↗
- Aviation Herald Aviation press ↗
- AVweb Aviation press ↗
- Pilots of America Community ↗
- Reddit /r/flying Community ↗
- FlightAware Aviation press ↗
- AOPA accident database Aviation press ↗
- Google News News ↗
- DuckDuckGo News ↗
Related research
Matched on aircraft type or causal vocabulary (fuel exhaustion). All research papers
- Embry-Riddle Scholarly Commons 2016 · Conference paper 28. Nova Track - A Hyperloop Competition Project
- arXiv 2026 · arXiv preprint Quantifying the Reality Gap for RL-Based UAV Placement at mmWave and Sub-THz
Reinforcement learning (RL) policies for unmanned aerial vehicle (UAV) placement in mmWave and sub-terahertz networks are typically trained on simplified analytical channels.
- arXiv 2026 · arXiv preprint FESOM2-JAX v1.0: a differentiable shadow of the ocean-sea-ice model FESOM2, cast onto GPUs
We present FESOM2-JAX, a Python re-implementation of the Finite-volumE Sea ice-Ocean Model (FESOM2) in JAX. The model retains the unstructured-mesh, cell-vertex finite-volume formulation of the origin…
- arXiv 2026 · arXiv preprint Theoretical development of an operational wave-induced ice erosion model through laboratory experiments
Wave-induced melting of vertical ice fronts is represented in several operational iceberg and coastal-erosion models by the rough-wall parameterization of White (1980), whose closure chain is incomple…
- arXiv 2026 · arXiv preprint LRDDv3: High-Resolution Long-Range Drone Detection Dataset with Range Information and Thermal Data
Unmanned Aerial Vehicles (UAVs) have quickly become common in various airspaces, representing a wide range of applications from recreation flying to commercial photography and package delivery.
- arXiv 2026 · arXiv preprint Trajectory Optimization of Morphing Aerial Vehicles Based on Mid-Fidelity Aeroservoelastic Models
Morphing aerial vehicles offer enhanced maneuverability and fuel efficiency compared to fixed-wing configurations. However, the trade-off between performance gains and control cost in dynamic, unstead…