Integrating Data under the European Plate Observing System from the Regional and Selected Local Seismic Networks in Poland

Rudziński, Łukasz; Lasocki, Stanisław; Orlecka‐Sikora, Beata; Wiszniowski, Jan; Olszewska, Dorota; Kokowski, Jakub; Mirek, Janusz

doi:10.1785/0220200354

Cited by 10 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Next-generic-example deals with exemplary data [18] recorded by LUMINEOS Seismic Network in the Legnica-Głogów Copper District in Poland. The open-access data were downloaded from and are available on the EPISODES platform [19] within LGCD episode [20]. The data set contains 6095 items, with 32 different values of magnitude, ranging from M0.9 to M4.0, rounded to the nearest 0.1.…”

Section: Seismic Data From Lumineos Networkmentioning

confidence: 99%

“…Next, in Section 4, we formulate and solve the inverse problem for Random Domino Automaton. Section 5 contains application of the developed framework to exemplary open access data of episode LGCD [18] from LUMINEOS network located in the Legnica-Glogow Copper District, Poland (for details see [19,20]). Finally, we end with a discussion in Section 6.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling Exact Frequency-Energy Distribution for Quakes by a Probabilistic Cellular Automaton

Białecki

Galka

Bagchi

et al. 2023

Entropy

View full text Add to dashboard Cite

We develop the notion of Random Domino Automaton, a simple probabilistic cellular automaton model for earthquake statistics, in order to provide a mechanistic basis for the interrelation of Gutenberg–Richter law and Omori law with the waiting time distribution for earthquakes. In this work, we provide a general algebraic solution to the inverse problem for the model and apply the proposed procedure to seismic data recorded in the Legnica-Głogów Copper District in Poland, which demonstrate the adequacy of the method. The solution of the inverse problem enables adjustment of the model to localization-dependent seismic properties manifested by deviations from Gutenberg–Richter law.

show abstract

Section: Seismic Data From Lumineos Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling Exact Frequency-Energy Distribution for Quakes by a Probabilistic Cellular Automaton

Białecki

Galka

Bagchi

et al. 2023

Entropy

View full text Add to dashboard Cite

show abstract

“…In Poland, regions of mining-triggered seismicity are continuously monitored, and the parameters of tremors, such as accelerations or velocities of the ground, are recorded continuously [35][36][37][38][39]. Investigations related to the reconstruction of ground vibration acceleration fields on the basis of point recordings are the subject of seismologists' research in mining-triggered areas.…”

Section: Empirical Regression Relationship Of Amplitude Decay With a ...mentioning

confidence: 99%

Advanced Model of Spatiotemporal Mining-Induced Kinematic Excitation for Multiple-Support Bridges Based on the Regional Seismicity Characteristics

2022

View full text Add to dashboard Cite

In the paper, an advanced model of spatiotemporal mining-induced kinematic excitation (SMIKE) for multiple-support bridges exposed to mining-induced seismicity is proposed. The uniqueness of this model results from the possibility of its application in any region of mining activity, as it is based on empirical regression functions characterizing such regions. In the model, the loss of coherency resulting from the scattering of waves in the heterogeneous ground, the wave-passage effect originating in different arrival times of waves to consecutive supports, and the site-response effect depending on the local soil conditions are taken into account. The loss of coherency of mining-induced seismic waves is obtained by applying a random field generator based on a spatial correlation function to produce time histories of accelerations on consecutive structure supports based on an originally recorded shock. The deterministic approach is used to account for temporal wave variability. The proposed SMIKE model is applied to assess the dynamic performance of a five-span bridge under a mining-induced shock recorded in the Upper Silesian Coal Basin (USCB), Poland. The first model’s parameter (space scale parameter) is identified on the basis of regression curves defined for the USCB region. The estimation of the second parameter (the mean apparent wave passage velocity) is based on discrete experimental data acquired via the vibroseis excitation registered in the in situ experiment. The impact of the model application on the dynamic performance of the bridge is assessed by comparing the dynamic response levels under SMIKE excitations, classic uniform excitations, and the “traveling wave” model—accounting only for the wave passage effect. The influence of wave velocity occurs to be crucial, modifying (either amplifying or reducing, depending on the location of the analyzed point) the dynamic response level up to a factor of two. The introduction of the space scale parameter changes the results by 20% in relation to the outcomes obtained for the “traveling” wave only.

show abstract

“…This article aims to present the use of the SED (Switching Edge Detector) algorithm to detect seismic events resulting from mining operations. The main goal of this paper is to test this methodology through a case study located in LGcB [28]. The research was carried out based on data from the system that integrates seismometers, GNSS stations, and PSinSAr, established in the vicinity of the Rudna copper mine in poland.…”

Section: Introductionmentioning

confidence: 99%

Archives of Mining Sciences

Tomaszewski,

Rapiński,

Stolecki

et al. 2022

View full text Add to dashboard Cite

Switching EdgE dEtEctor aS a tool for SEiSmic EvEntS dEtEction BaSEd on gnSS timESEriEScontemporary mine exploitation requires information about the deposit itself and the impact of mining activities on the surrounding surface areas. in the past, this task was performed using classical seismic and geodetic measurements. Nowadays, the use of new technologies enables the determination of the necessary parameters in global coordinate systems. For this purpose, the relevant services create systems that integrate various methods of determining interesting quantities, e.g., seismometers / GNSS / PSinSAr. These systems allow detecting both terrain deformations and seismic events that occur as a result of exploitation.Additionally, they enable determining the quantity parameters that characterise and influence these events. however, such systems are expensive and cannot be set up for all existing mines. Therefore, other solutions are being sought that will also allow for similar research. in this article, the authors examined the possibilities of using the existing GNSS infrastructure to detect seismic events. For this purpose, an algorithm of automatic discontinuity detection in time series "Switching Edge Detector" was used. The reference data were the results of GNSS measurements from the integrated system (seismic / GNSS / psinsaR) installed on the lGcB (legnica-Głogów copper Belt) area. The GNss data from 2020 was examined, for which the integrated system registered seven seismic events. The switching Edge Detector algorithm proved to be an efficient tool in seismic event detection.

show abstract

Integrating Data under the European Plate Observing System from the Regional and Selected Local Seismic Networks in Poland

Cited by 10 publications

References 36 publications

Modeling Exact Frequency-Energy Distribution for Quakes by a Probabilistic Cellular Automaton

Modeling Exact Frequency-Energy Distribution for Quakes by a Probabilistic Cellular Automaton

Advanced Model of Spatiotemporal Mining-Induced Kinematic Excitation for Multiple-Support Bridges Based on the Regional Seismicity Characteristics

Archives of Mining Sciences

Contact Info

Product

Resources

About