NTSB CAROL · Event
Event SEA04LA172
Aircraft involved
Probable cause & findings
Directional control not maintained during the takeoff roll resulting in a runway excursion and subsequent nose over. Factors include a drainage ditch.
Factual narrative
On August 21, 2004, about 1000 mountain daylight time, a tail-wheel equipped 2004 Tubbs PA-18-225 DD, N7993A, sustained substantial damage following a runway excursion and subsequent nose-over at the Lemhi County Airport, Salmon, Idaho. The airplane is owned by the pilot and was being operated as a visual flight rules (VFR) personal/pleasure flight under the provisions of Title 14, CFR Part 91, when the accident occurred. The private pilot, the sole occupant of the airplane, was not injured. Visual meteorological conditions prevailed, and no flight plan was filed for the proposed flight. In a written statement the pilot reported that the airplane "veered to the left" shortly after commencing the takeoff roll. The pilot reported that corrective actions were taken, however, he was unable to correct the situation before the airplane exited the runway edge. After exiting the runway, the airplane encountered a drainage ditch and nosed over resulting in substantial damage to the left wing and vertical stabilizer. No preaccident mechanical malfunctions or failures were reported. The pilot reported that the winds were calm at the time of the accident. In a written statement the pilot reported that the airplane "veered to the left" shortly after commencing the takeoff roll. The pilot reported that corrective actions were taken, however, he was unable to correct the situation before the airplane exited the runway edge. After exiting the runway, the airplane encountered a drainage ditch and nosed over resulting in substantial damage to the left wing and vertical stabilizer. The pilot reported that the winds were calm at the time of the accident. No preaccident mechanical malfunctions or failures were reported. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2004_SEA04LA172.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 (runway excursion). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report
Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World
Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article
Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…
Browse the full corpus — academia portal ↗