📝 Original Info
- Title: Discrimination of the DPRK underground explosions and their aftershocks using the P/S spectral amplitude ratio
- ArXiv ID: 1712.01819
- Date: 2017-12-06
- Authors: ** Ivan O. Kitov, Mikhail V. Rozhkov **
📝 Abstract
We have estimated the performance of discrimination criterion based on the P/S spectral amplitude ratios obtained from six underground tests conducted by the DPRK since October 2006 and six aftershocks induced by the last two explosions. Two aftershocks were detected in routine processing at the IDC. Three aftershocks were detected by a prototype waveform cross correlation procedure with explosions as master events, and one aftershock was found with the aftershocks as master event. Two seismic arrays USRK and KSRS of the IMS and two non-IMS 3-C stations SEHB (South Korea) and MDJ (China) were used. With increasing frequency, all stations demonstrate approximately the same level of deviation between the Pg/Lg spectral amplitude ratios belonging to the DPRK explosions and their aftershocks. For a single station, simple statistical estimates show that the probability of any of six aftershocks not to be a sample from the explosion population is larger than 99.996% at the KSRS and even larger at USRK. The probability of any of the DPRK explosion to be a representative of the aftershock population is extremely small as defined by the distance of 20 and more standard deviations to the mean explosion Pg/Lg value. For network discrimination, we use the Mahalanobis distance combining the Pg/Lg estimates at three stations: USRK, KSRS and MDJ. At frequencies above 4 Hz, the (squared) Mahalanobis distance, D2, between the populations of explosions and aftershocks is larger than 100. In the frequency band between 6 and 12 Hz at USRK, the aftershocks distance from the average explosion D2>21,000. Statistically, the probability to confuse explosions and aftershocks is negligible. These discrimination results are related only to the aftershocks of the DPRK tests and cannot be directly extrapolated to the population of tectonic earthquakes in the same area.
💡 Deep Analysis
Deep Dive into Discrimination of the DPRK underground explosions and their aftershocks using the P/S spectral amplitude ratio.
We have estimated the performance of discrimination criterion based on the P/S spectral amplitude ratios obtained from six underground tests conducted by the DPRK since October 2006 and six aftershocks induced by the last two explosions. Two aftershocks were detected in routine processing at the IDC. Three aftershocks were detected by a prototype waveform cross correlation procedure with explosions as master events, and one aftershock was found with the aftershocks as master event. Two seismic arrays USRK and KSRS of the IMS and two non-IMS 3-C stations SEHB (South Korea) and MDJ (China) were used. With increasing frequency, all stations demonstrate approximately the same level of deviation between the Pg/Lg spectral amplitude ratios belonging to the DPRK explosions and their aftershocks. For a single station, simple statistical estimates show that the probability of any of six aftershocks not to be a sample from the explosion population is larger than 99.996% at the KSRS and even larg
📄 Full Content
Discrimination of the DPRK underground explosions and their aftershocks
using the P/S spectral amplitude ratio
Ivan O Kitov and Mikhail V. Rozhkov
Abstract
We have estimated the performance of discrimination criterion based on the P/S spectral
amplitude ratios obtained from six underground tests conducted by the DPRK since October
2006 and six aftershocks induced by the last two explosions. Two aftershocks were detected in
routine processing at the International Data Centre of the Comprehensive Nuclear-Test-Ban
Treaty Organization. Three aftershocks were detected by a prototype waveform cross correlation
procedure with explosions as master events, and one aftershock was found with the aftershocks
as master event. Two seismic arrays USRK and KSRS of the International Monitoring System
(IMS) and two non-IMS 3-C stations SEHB (South Korea) and MDJ (China) were used. With
increasing frequency, all stations demonstrate approximately the same level of deviation between
the Pg/Lg spectral amplitude ratios belonging to the DPRK explosions and their aftershocks. For
a single station, simple statistical estimates show that the probability of any of six aftershocks
not to be a sample from the explosion population is larger than 99.996% at the KSRS and even
larger at USRK. The probability of any of the DPRK explosion to be a representative of the
aftershock population is extremely small as defined by the distance of 20 and more standard
deviations to the mean explosion Pg/Lg value. For network discrimination, we use the
Mahalanobis distance combining the Pg/Lg estimates at three stations: USRK, KSRS and MDJ.
At frequencies above 4 Hz, the (squared) Mahalanobis distance, D2, between the populations of
explosions and aftershocks is larger than 100. In the frequency band between 6 and 12 Hz at
USRK, the aftershocks distance from the average explosion D2>21,000. Statistically, the
probability to confuse explosions and aftershocks is negligible. These discrimination results are
related only to the aftershocks of the DPRK tests and cannot be directly extrapolated to the
population of tectonic earthquakes in the same area.
Introduction
The main difference between seismic sources of underground explosions and earthquakes, which
is useful for discrimination, is related to the efficiency of P- and S-wave generation. Explosions
demonstrate more efficient generation of compressional (P) waves, while earthquakes generate
shear waves (S) of relatively higher amplitude. As a result, the difference between body (P)
wave, mb, and surface (related to S) wave, Ms, magnitudes measured at teleseismic distances
successfully serves for discrimination of earthquakes and underground explosions.
At regional distances, seismic wave-field is characterized by a much higher fluctuation in
amplitudes of P and S-waves than that at teleseismic distances because of inhomogeneous
velocity and attenuation structures of the crust and the uppermost mantle. No reliable magnitude
scale can be derived for discrimination purposes. Therefore, finer characteristics are needed to
distinguish between earthquakes and explosions. It was found that the spectrum of P-wave falls
faster for earthquakes than that of explosion sources. Based on this observation, a spectral
discriminant was introduced as a frequency dependent ratio of P- and S-wave spectral
amplitudes. In the past, we conducted a thorough study of spectral discriminants and other
discrimination methods, such as statistical identification, artificial neural networks classification
and moment tensor estimates, using data from the Soviet nuclear tests, regional chemical
explosions and earthquakes [1-7]. It was tested in a number of geological/seismological regions
(chiefly around test sites and PNEs) and demonstrated good performance at the level of
(teleseismic) Ms-mb criterion, but for much smaller events, which are not measured at
teleseismic stations.
Data and method
We test the P/S spectral amplitude ratio criterion as a possible tool to discriminate six
underground tests conducted by the DPRK since October 2006 (see Table 1) and six smaller
events found near these explosions just after the DPRK5 and DPRK6. These six smaller events
were detected by waveform cross correlation at regional stations of the International monitoring
system (IMS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) and non-
IMS stations (see Table 2). Since their waveforms demonstrate high correlation coefficients with
those from the DPRK explosions and the arrival times found by cross correlation do not depend
on the length of correlation window one may consider these low-magnitude events as located
very close or within the DPRK tests site. Taking into account that the smaller events occurred
just after the two biggest tests, their low magnitudes (2 and more units of magnitude lower than
their corresponding main shocks), and the spatial closeness
…(Full text truncated)…
📸 Image Gallery
Reference
This content is AI-processed based on ArXiv data.