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Title: Detection of regional infrasound signals using array data: Testing, tuning, and physical interpretation

Journal Article · · Journal of the Acoustical Society of America
DOI:https://doi.org/10.1121/1.4954759· OSTI ID:1326653
 [1];  [1];  [1];  [2];  [3];  [4]
  1. Southern Methodist Univ., Dallas, TX (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Korea Institute of Geoscience and Mineral Resources, Deajeon (Korea)
  4. Space Science Division, Naval Research Lab., Washington, D.C. (United States)

This work quantifies the physical characteristics of infrasound signal and noise, assesses their temporal variations, and determines the degree to which these effects can be predicted by time-varying atmospheric models to estimate array and network performance. An automated detector that accounts for both correlated and uncorrelated noise is applied to infrasound data from three seismo-acoustic arrays in South Korea (BRDAR, CHNAR, and KSGAR), cooperatively operated by Korea Institute of Geoscience and Mineral Resources (KIGAM) and Southern Methodist University (SMU). Arrays located on an island and near the coast have higher noise power, consistent with both higher wind speeds and seasonably variable ocean wave contributions. On the basis of the adaptive F-detector quantification of time variable environmental effects, the time-dependent scaling variable is shown to be dependent on both weather conditions and local site effects. Significant seasonal variations in infrasound detections including daily time of occurrence, detection numbers, and phase velocity/azimuth estimates are documented. These time-dependent effects are strongly correlated with atmospheric winds and temperatures and are predicted by available atmospheric specifications. As a result, this suggests that commonly available atmospheric specifications can be used to predict both station and network detection performance, and an appropriate forward model improves location capabilities as a function of time.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
AFRL; USDOE
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1326653
Report Number(s):
SAND-2015-10979J; JASMAN; 617421
Journal Information:
Journal of the Acoustical Society of America, Vol. 140, Issue 1; ISSN 0001-4966
Publisher:
Acoustical Society of AmericaCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 9 works
Citation information provided by
Web of Science

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