Back

In Their Own Words: Noise Complaint Data Reveals Impacts of Military Aviation

Huang, C.-H. S.; Kuehne, L. M.; Jacuzzi, G.; Olden, J. D.; Seto, E.

2026-04-16 occupational and environmental health
10.64898/2026.04.14.26350904 medRxiv
Show abstract

Military aviation training noise remains understudied despite its widespread impacts across urban, rural, and wilderness areas. The predominance of low-frequency noise and repetitive training can create pervasive noise pollution, yet past research often fails to capture the full range of health and quality-of-life effects. This study analyzed two complaint datasets related to Whidbey Island Naval Air Station noise: U.S. Navy records (2017-2020) and Quiet Skies Over San Juan County data (2021-2023). We analyzed and mapped sentiment intensity from noise complaints relative to modeled annual noise exposure, developed a typology to classify impacts, and modeled the environmental and operational factors influencing complaints. Findings revealed widespread negative sentiment and anger, often beyond the bounds of estimated noise contours, suggesting that annual cumulative noise models inadequately estimate community impacts. Complaints consistently highlighted sleep disturbance, hearing and health concerns, and compromised home environments due to shaking, vibration, and disruption of daily life. Residents also reported significant social, recreational, and work disruptions, along with feelings of fear, helplessness, and concern for children's well-being. The number of complaints were strongly associated with training schedules, with late-night sessions being the strongest predictor. A delayed response pattern suggests residents reach a frustration threshold before filing complaints. Overall, our findings demonstrate persistent negative sentiment and diverse impacts from military aviation noise. Results highlight the need for improved noise metrics, modeling and operational adjustments to mitigate the most disruptive effects.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
International Journal of Environmental Research and Public Health
124 papers in training set
Top 0.2%
14.7%
2
Scientific Reports
3102 papers in training set
Top 3%
13.0%
3
Science of The Total Environment
179 papers in training set
Top 0.8%
9.3%
4
Indoor Air
10 papers in training set
Top 0.1%
8.6%
5
PLOS ONE
4510 papers in training set
Top 21%
8.6%
50% of probability mass above
6
Environmental Science & Technology
64 papers in training set
Top 0.6%
5.0%
7
Environmental Pollution
35 papers in training set
Top 0.6%
4.4%
8
Environmental Health Perspectives
17 papers in training set
Top 0.1%
3.7%
9
Environment International
42 papers in training set
Top 0.5%
2.7%
10
Environmental Research
46 papers in training set
Top 0.5%
2.7%
11
Environmental Research Letters
15 papers in training set
Top 0.2%
2.1%
12
PLOS Global Public Health
293 papers in training set
Top 3%
2.1%
13
npj Microgravity
11 papers in training set
Top 0.1%
1.9%
14
The Innovation
12 papers in training set
Top 0.3%
1.7%
15
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
15 papers in training set
Top 0.3%
1.7%
16
Open Research Europe
14 papers in training set
Top 0.1%
1.3%
17
Communications Biology
886 papers in training set
Top 20%
0.8%
18
Frontiers in Public Health
140 papers in training set
Top 7%
0.8%
19
Optics Express
23 papers in training set
Top 0.5%
0.7%
20
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 3%
0.7%
21
Frontiers in Microbiology
375 papers in training set
Top 10%
0.7%
22
GeoHealth
10 papers in training set
Top 0.9%
0.5%
23
Environmental Science & Technology Letters
22 papers in training set
Top 0.5%
0.5%