Testing Event Discrimination over Broad Regions using the Historical Borovoye Observatory Explosion Dataset
نویسندگان
چکیده
We test the performance of high-frequency regional P/S discriminants to differentiate between earthquakes and explosions at test sites and over broad regions using a historical dataset of explosions recorded at the Borovoye observatory in Kazakhstan. We compare these explosions to modern recordings of earthquakes at the same location. We then evaluate the separation of the two types of events using the raw measurements and those where the amplitudes are corrected for 1-D and 2-D attenuation structure. We find that high-frequency P/S amplitudes can reliably identify earthquakes and explosions and that the discriminant is applicable over broad regions as long as propagation effects are properly accounted for. Lateral attenuation corrections provide the largest improvement in the 2-4 Hz band, the use of which may allow us to examine smaller, distant events that have lower signal-to-noise at higher frequencies. We also find variations in P/S ratios among the three main nuclear testing locations within the Semipalatinsk Test Site which, due to their nearly identical paths to BRVK, must be a function of differing geology and emplacement conditions.
منابع مشابه
Удк 550.34:621.039.9 Analysis of Digital Seismograms from Nuclear Explosions across Forty Years
It is remarkable that the most recent nuclear test explosion, by North Korea (2006 October 9), although quite small, was well-detected teleseismically. We describe how this event was promptly identified as an explosion and not an earthquake, on the basis of regionally recorded signals, in a region that apparently would have permitted such identification even if the test had been much smaller. T...
متن کاملEvent Listener Analysis and Symbolic Execution for Testing GUI Applications
Graphical User Interfaces (GUIs) are composed of virtual objects, widgets, which respond to events triggered by user actions. Therefore, test inputs for GUIs are event sequences that mimic user interaction. The nature of these sequences and the values for certain widgets, such as textboxes, causes a two-dimensional combinatorial explosion. In this paper we present Barad, a GUI testing framework...
متن کاملDiscrimination discovery in scientific project evaluation: A case study
Discovering contexts of unfair decisions in a dataset of historical decision records is a non-trivial problem. It requires the design of ad-hoc methods and techniques of analysis, which have to comply with existing laws and with legal argumentations. While some data mining techniques have been adapted to the purpose, the state-of-the-art of research still needs both methodological refinements, ...
متن کاملDetermination of Aerated Steps Number over Broad-Crest Stepped Spillways under Jet Flow Regime by using Artificial Neural Network
Recently, particular attention has been paid to the stepped spillways due to the increasing effect of energy dissipation and the reduction of cavitations risks with the development of Roller Compacted Concrete (RCC) technique. Flow regimes on the spillways divide into three groups, namely skimming, jet and transition flow. Compared to the numerical methods, the majority of performed studies in ...
متن کاملSituation Testing-Based Discrimination Discovery: A Causal Inference Approach
Discrimination discovery is to unveil discrimination against a specific individual by analyzing the historical dataset. In this paper, we develop a general technique to capture discrimination based on the legally grounded situation testing methodology. For any individual, we find pairs of tuples from the dataset with similar characteristics apart from belonging or not to the protected-by-law gr...
متن کامل