We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Noise Reduction in Radon Monitoring Data Using Kalman Filter and Application of Results in Earthquake Precursory Process Research.
- Authors
Namvaran, Mojtaba; Negarestani, Ali
- Abstract
Monitoring the concentration of radon gas is an established method for geophysical analyses and research, particularly in earthquake studies. A continuous radon monitoring station was implemented in Jooshan hotspring, Kerman province, south east Iran. The location was carefully chosen as a widely reported earthquake-prone zone. A common issue during monitoring of radon gas concentration is the possibility of noise disturbance by different environmental and instrumental parameters. A systematic mathematical analysis aiming at reducing such noises from data is reported here; for the first time, the Kalman filter (KF) has been used for radon gas concentration monitoring. The filtering is incorporated based on several seismic parameters of the area under study. A novel anomaly defined as 'radon concentration spike crossing' is also introduced and successfully used in the study. Furthermore, for the first time, a mathematical pattern of a relationship between the radius of potential precursory phenomena and the distance between epicenter and the monitoring station is reported and statistically analyzed.
- Subjects
NOISE control research; NOISE pollution; RADON mitigation; RADON pollution; KALMAN filtering; SEISMOLOGY measurements
- Publication
Acta Geophysica, 2015, Vol 63, Issue 2, p329
- ISSN
1895-6572
- Publication type
Article
- DOI
10.2478/s11600-014-0218-5