Noise Reduction in Radon Monitoring Data Using Kalman Filter and Application of Results in Earthquake Precursory Process Research

• Autorzy: Namvaran M. , Negarestni A.

Identyfikatory

DOI

10.2478/s11600-014-0218-5

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

radon anomaly; Kalman filter; noise reduction; effective precursory ratio; seismic activity

PL

anomalie radonowe; filtr Kalmana; redukcja szumów; aktywność sejsmiczna

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2015
• Tom: Vol. 63, no. 2
• Strony: 329--351
• Opis fizyczny: Bibliogr. 32 poz., rys., tab., wykr.

Twórcy

autor

Namvaran M.

• Kerman Graduate University of Technology, Geophysics Department, Kerman, Iran

autor

Negarestni A.

• Kerman Graduate University of Technology, Electrical Engineering Department, Kerman, Iran

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