NTSB CAROL · Event
Event LAX07CA264
Registry · N1118H
FAA Aircraft Registry record.
Make / Model
AERONCA S15AC
Engine
LYCOMING I0-360-B1E (180 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19920826
ADS-B equipped
Yes — Mode-S A03362
Registrant of record
NELSON CHESTER C
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's loss of control during takeoff following the inadvertent encounter with a boat's wake.
Factual narrative
On September 3, 2007, about 1431 Pacific daylight time, a float equipped Aeronca S15AC, N1118H, impacted the water following a loss of control during a water takeoff from Mason Lake, near Shelton, Washington. The float plane was owned and operated by the pilot, and it was substantially damaged. Neither the commercial pilot nor passenger was injured during the personal flight. Visual meteorological conditions prevailed at the time, and no flight plan had been filed. The flight was performed under the provisions of 14 CFR Part 91, and it was commencing at the time of the accident. The pilot reported to the National Transportation Safety Board investigator that during takeoff on the lake the front portion of the left float caught the wake from a boat. Thereafter, the airplane swerved left. The pilot attempted to, but was unsuccessful at, correcting the flight path, and directional control was lost. The airplane's right wing tip impacted the water. The airplane swerved farther left and was damaged. Following recovery of the airplane, an estimated 2-foot-long span of the right wing's leading edge, outbound section, was found crushed in an aft direction. Also, the inboard, aft portion of the right wing was buckled. About 1/3 of the forward portion of both floats was bent upward. The float plane pilot inadvertently encountered a boat's wake during takeoff, and he lost directional control. The airplane swerved left. The pilot attempted to, but was unsuccessful at, correcting the flight path, and the right wing impacted the water. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2007_LAX07CA264.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 (loss of control). 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 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
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