NTSB CAROL · Event
Event ANC70DAG29
Aircraft involved
Historical record (pre-1982)
NTSB recorded this accident in the pre-1982 coded-field schema — structured fields rather than free-text narrative. Decoded codes use established NTSB single-letter taxonomies; cause factors remain verbatim pending the Form 6120.4 codebook lookup.
Aircraft
CESSNA 180 · N8203V
Damage
Substantial
Craft type
Airplane
Classification
Accident
Light condition
Dawn
Weather
VMC
Phase of flight
Cruise — descent (EF)
Operator type
D
Kind of flying
B0
Weather at impact
Sky
CLEAR
Wind
335° / 15 kt
Temp
60° F
Aircraft history
Serial number
Z
Total time
550 hrs
Pilot
Certificate
Commercial — instrument
Total hours
350
Age
50
Investigator remarks
ACFT WHEEL HIT HOLE,RAN INTO OCEAN,FLIPPED OVER.
Cause factors
- 64/A/35 A PILOT IN COMMAND SELECTED UNSUITABLE TERRAIN Cause — pilot/personnel action
- 64/A/15 A PILOT IN COMMAND FAILED TO SEE AND AVOID OBJECTS OR OBSTRUCTIONS Cause — pilot/personnel action
- 83/A/A A TERRAIN WET,SOFT GROUND Cause — pilot/personnel action
- 83/A/K A TERRAIN SANDY Cause — pilot/personnel action
- 88/J/88 J MISCELLANEOUS ACTS,CONDITIONS AIRCRAFT CAME TO REST IN WATER Joint cause
Decoded against the NTSB Form 6120.4 cause-factor codebook (ct_Pre1982 table). Each row shows the raw triplet, modifier (Cause / Factor / etc.), category, and specific code.
Source: NTSB pre-1982 historical archive. Docket
3 2490.
Source file
NTSB_1970_3_2490.txt.
Modern CAROL record 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. Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- arXiv 2026 · arXiv preprint
A Miniaturized Broadband 1-Bit Coding Reconfigurable Intelligent Surface for NLOS UE Localization and Uplink Communication
In this paper, a broadband 1-bit coding metasurface-based reconfigurable intelligent surface (RIS) is presented. The unit cell of the metasurface consists of a wide dipole modified with interdigital c…
- arXiv 2024 · arXiv preprint
Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs
Nano-sized unmanned aerial vehicles (UAVs) are ideal candidates for flying Internet-of-Things smart sensors to collect information in narrow spaces.
- arXiv 2024 · arXiv preprint
A flexured-gimbal 3-axis force-torque sensor reveals minimal cross-axis coupling in an insect-sized flapping-wing robot
The mechanical complexity of flapping wings, their unsteady aerodynamic flow, and challenge of making measurements at the scale of a sub-gram flapping-wing flying insect robot (FIR) make its behavior …
- Embry-Riddle Scholarly Commons 2024 · Conference paper
Integrated Propulsion and Control of Rotorcraft
RESEARCH OBJECTIVE OVERVIEW The Eagle Flight Research Center (EFRC) at Embry-Riddle Aeronautical University (ERAU) is investigating the handling qualities of failure modes of multi-rotors employing di…
- NASA NTRS 2023 · Presentation
Subsonic Single Aft Engine (SUSAN) Flight Deck Experiment: Throttle and Engine Display Concepts
NASA is developing a new hybrid-electric aircraft concept called the SUbsonic Single Aft eNgine (SUSAN) Electrofan. The SUSAN airplane is being designed as a 180-passenger commercial regional jet and …
- Embry-Riddle Scholarly Commons 2023 · Conference paper
The Value of Strong Partnerships to Build a Successful Aviation Maintenance Career Pathway Program for Transitioning Military Service Members
The aerospace industry is competing with other industries for a qualified workforce, and many of those competing industries are investing heavily in creating workforce development pipelines.
Browse the full corpus — academia portal ↗