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Seismic monitoring is recognized as an effective tool for investigating rock bursts in coal mines; however, a universally accepted and rational assessment method for the detection capabilities of coal mine seismic monitoring systems has yet to be established. A method based on event energy has been developed to evaluate the monitoring performance of a mine seismic network. Utilizing statistical principles, this methodology quantifies the detection capabilities of individual seismic stations in mine monitoring and provides a comprehensive assessment of the overall network monitoring quality in critical surveillance areas. This is achieved by considering the detection probability of fixed-energy events and the minimum integrity energy across the entire seismic network. Experimental trials were conducted at the Dongtan Coal Mine, where a seismic network was established. A comparison of detection probability maps for different stations revealed performance variations under various energy and distance conditions. The overall detection capability of the network for the critical monitoring area, specifically the 6306 longwall, was calculated and validated using blasting test data. The experimental results demonstrate the successful application of this new method in practical mine environments, with potential advancements in the technology of mine seismic source monitoring for both academic and engineering practices. Highlights: Utilizing a novel evaluation criterion based on energy and distance to calculate the detection capability of individual stations. Employ rationalization methods to enhance the credibility of computational results from a single station. Introducing two new indicators, namely the Minimum Integrity Energy and the detection probability for fixed energy, to assess the detection capability of the seismic network. [ABSTRACT FROM AUTHOR]

On March 18, 2024, the seismic monitoring network in the central part of the East European Platform (EEP) registered an earthquake near Rybinsk (58.22° N, 38.52° E) with an ML (local magnitude) of 3.1 with an epicenter localized to epicenter to the long-lived Central Russian Deformation Belt, which inherits a structure and direction of dislocations of the platform basement of the craton. Tectonic seismic events were registered in the central part of the EEP in the last decade. Analysis of their epicenter locations shows they also belong to the same zone. It is concluded that the modern seismicity in the Central Russian Deformation Belt is activated. This fact has to be considered in the arrangement of infrastructure within this zone. [ABSTRACT FROM AUTHOR]

Until now, numerous efforts have been made to find earthquake precursors. One of the factors that can predict the occurrence of future earthquakes is a decrease in the b-value parameter. In this study, for the metropolis of Tehran, with a population of over 8 million, located on or near many active faults, it is estimated that if the maximum seismic potential of these faults happened again, the greatest disaster in human history would occur. In this case, the analyses indicate a minimum of several hundred thousand casualties and sometimes more than a million. In the current study, various faults around Tehran were investigated, and given that the faults on Tehran have not had serious seismic activity for over a thousand years, this article focused exclusively on adjacent faults, particularly the Eshtehard faults. Therefore, in the current study, the seismicity and tectonics of western Tehran were investigated by analyzing seismic parameters using earthquake data collected from 2003 to 2023. In general, the investigation of the temporal changes in the study area showed that the b-value decreased before the December 20, 2017, earthquake and an increasing trend afterward. Observing anomalies in the b-value before and after the main movement in the area shows that changes in this parameter can be considered a precursor for estimating the time and location of earthquakes. Therefore, a useful step can be taken toward knowing the local seismic hazards by using earthquake data recorded by seismic networks and continuously monitoring the changes in the b-value. [ABSTRACT FROM AUTHOR]

In this work, we perform an evaluation of the coverage of the earthquake monitoring network of Taiwan. The capability of a general network is a function of an adequate number of optimally distributed nodes. For this case study, the evaluation is performed with a statistical approach which includes descriptive spatial statistics in combination with point pattern techniques. The spatial distribution of the nodes of the earthquake monitoring network is analyzed in comparison with the distribution of seismicity, completeness magnitude, active seismogenic sources, seismic hazard, and population distribution. All these data can be put in relationship with the objectives of an earthquake monitoring network; therefore, they can be used, in turn, to retrieve information about the consistency of the network itself. In particular, we investigate the "Real-time Seismic Monitoring Network" and the "Strong-Motion Earthquake Observation Network," each one characterized by its own objectives, and therefore respectively compared with external information related to their purposes such as seismicity, seismogenic sources, seismic hazard, and population distribution. This simple and reliable approach reveals the high quality of the networks established in Taiwan. In general, it is able to provide quantitative information on the coverage of any type of network, identifying possible critical areas and addressing their future development. [ABSTRACT FROM AUTHOR]

The Thai Meteorological Department (TMD) seismic network began development in 2008. There are a total of 71 seismic stations consisting of 26 borehole stations and 45 surface stations currently installed. The three-component data from the TMD seismic network have been widely used in previous seismological studies. In a recent analysis, we have found that sensor orientation as reported in the site metadata is sometimes significantly incorrect, especially for borehole stations. In this study, we analyze P-wave polarization data from regional and teleseismic earthquakes recorded in the network to estimate the true instrument orientation relative to geographic north and compare that to station metadata. Of the 45 surface stations, we found that at present, ~ 82% are well oriented (i.e., aligned within 0–15° of true north). However, 8 sites have sensors misoriented by more than 15°, and some stations had a temporal change in sensor orientation during an upgrade to the seismic system with replacement of the sensor. We also evaluated sensor orientations for 26 TMD borehole seismic stations, from 2018 to the 2022. For many of the borehole stations, the actual sensor orientation differs significantly from the TMD metadata, especially at short-period stations. Many of those stations have sensor misorientations approaching 180°, due to errors in the ambient noise analysis calibration techniques used during installation. We have also investigated how this sensor misorientation affects previous seismic studies, such as regional moment tensor inversion of earthquakes sources and receiver function stacking. We have found that the large deviations in sensor orientation can result in erroneous results and/or large measurement errors. A cause of the orientation error for borehole sites could be a combination of strong background surface ambient seismic noise coupled with an incorrect reference instrument response. [ABSTRACT FROM AUTHOR]

The article discusses the results of processing instrumental and macroseismic observations of the strongest earthquake in Central Baikal in the last 60 years, which occurred on December 9, 2020 (MW = 5.5), as well as its aftershocks. The event was named the Kudara earthquake, after the locality where the maximum intensity of shocks was recorded. The epicenter of the main shock is confined to Proval Bay (Lake Baikal), which formed as a result of the catastrophic Tsagan earthquake of 1862. The sufficiently high density of seismic stations in the region allowed us to obtain reliable estimates of the position of epicenters and source depths for the main shock and aftershocks. In total, more than 70 earthquakes were recorded, located within an area extending in the sublatitudinal direction. The strongest aftershock (KR = 12.6) occurred to the west of the main source on the first day after the main shock. To estimate the seismic moment and focal spectrum of the earthquake, the coda envelope inversion method was tested. The moment magnitudes for the main shock and three aftershocks have been obtained. [ABSTRACT FROM AUTHOR]

In recent years, the permanent seismic networks worldwide have largely increased, raising the amount of earthquake signals and the applications using seismic records. Although characterization of the soil properties at recording stations has a large impact on hazard estimates, it has not been implemented so far in a standardized way for reaching high-level metadata. To address this issue, we built an online questionnaire for the identification of the indicators useful for a reliable site characterization at a seismic station. We analysed the answers of a large number of experts in different fields, which allowed us to rank 24 different indicators and to identify the most relevant ones: fundamental frequency (f0), shear-wave velocity profile (VS), time-averaged Vs over 30 m (VS30), depth of seismological and engineering bedrock (Hseis_bed and Heng_bed), surface geology and soil class. Moreover, the questionnaire proposed two additional indices in terms of cost and difficulty to obtain a reliable value of each indicator, showing that the selection of the most relevant indicators results from a complex balance between physical relevancy, average cost and reliability. For each indicator we propose a summary report, provided as editable pdf, containing the background information of data acquisition and processing details, with the aim to homogenize site metadata information at European level and to define the quality of the site characterization (see companion paper Di Giulio et al. 2021). The selected indicators and the summary reports have been shared within European and worldwide scientific community and discussed in a dedicated international workshop. They represent a first attempt to reach a homogeneous set of high-level metadata for site characterization. [ABSTRACT FROM AUTHOR]

Probabilistic earthquake locations provide confidence intervals for the hypocentre solutions such as errors encountered in the position, the origin time, and in magnitude. If the relationship of the parameters relative to the local arrangement of the seismic network is considered, such as the node distance, the number of stations, the seismic gap, and the quality of phase readings), the uncertainties can then provide insights on the location capability of the network. In this paper, we collect the earthquake data recorded from the Italian Seismic Network for a time span of 5 years. The data pertain to three different catalogues according to the progressive refinement phases of the location procedure: automatic location, revised location, and published location. By means of spatial analysis, we assess the distribution of the location-related and network-related estimators across the study area. These estimators are subsequently combined to assess the existence of spatial correlations at a local scale. The results indicate that the Italian network is generally able to provide robust locations at the national scale and for smaller earthquakes, and the elongated shape of Italy (and of its network) does not cause systematic bias in the locations. However, we highlight the existence of subregions in which the performance of the network is weaker. At present, a unique 2D, 3-layer velocity model is used for the earthquake location procedure, and this could represent the main limitation for the improvement of the locations. Therefore, the assessment of locally optimized velocity models is the priority for the homogenization and the improvement of the Italian Seismic Network performance. [ABSTRACT FROM AUTHOR]

From March to May 2019, a seasonal multidisciplinary scientific expedition on the EV Akademik Tryoshnikov was conducted in the framework of the first stage of the "TransArctica 2019" program. Within the seismological part, six temporary seismic stations were installed at four different locations on a drifted ice floe in the North Barents Sea. The first aim of the experiment was to elaborate technology of installation of the seismic stations on drifting ice floes. The second aim was to check if obtained seismological records could be used for registration of the local and remote earthquakes and provide data to investigate the lithosphere structure in the Arctic regions, as well as processes within the ice floe. After analysis of the recoded data, different types of the seismic signal generated by processes in the ice were observed and several signals from remote and regional earthquakes were detected. Further analysis of the seismograms could be used for investigations of the processes within ice floes. The results of the experiment have shown that seismic sensors installed on the drifting ice could be used for recording of local and remote earthquakes. [ABSTRACT FROM AUTHOR]

In this work, we propose a statistical approach to evaluate the coverage of a network based on the spatial distribution of its nodes and the target information, including all those data related to the final objectives of the network itself. This statistical approach encompasses descriptive spatial statistics in combination with point pattern techniques. As case studies, we evaluate the spatial arrangements of the stations within the Italian National Seismic Network and the Italian Strong Motion Network. Seismic networks are essential tools for observing earthquakes and assessing seismic hazards, while strong motion (accelerometric) networks allow us to describe seismic shaking and to measure the expected effects on buildings and infrastructures. The capability of both networks is a function of an adequate number of optimally distributed stations. We compare the seismic network with the spatial distributions of historical and instrument seismicity and with the distribution of well-known seismogenic sources, and we compare the strong motion station distribution with seismic hazard maps and the population distribution. This simple and reliable methodological approach is able to provide quantitative information on the coverage of any type of network and is able to identify critical areas that require optimization and therefore address areas of future development. [ABSTRACT FROM AUTHOR]

A systematic study of the physical and mechanical processes of landslide development and evolution is important for forecasting, early warning, and prevention of landslide hazards. In the absence of on-site monitoring data, seismic networks can be employed to continuously record ground seismicity generated during landslides. However, landslide seismic signals are relatively weak and inevitably affected by noise interference. Furthermore, systematic characterization and reconstruction of the landslide evolution process remain poorly reported. An evaluation method to recognize landslide events based on seismic signal characteristics is therefore important. This study analyzes the 2019 "7.23" Shuicheng landslide based on data from nearby seismic stations. A landslide seismic signal recognition method is developed based on short-time Fourier transform (STFT) and band-pass filter (BP-filter) analysis. Data from 14 stations near the landslide were reviewed and the landslide data from one station was selected for analysis. The landslide seismic signal was noise-attenuated by using the empirical mode decomposition (EMD) and BP-filter methods. Fast Fourier transform (FFT), STFT, and power spectral density analyses were applied to the landslide seismic signal with higher signal-to-noise ratio (SNR) to obtain the time–frequency signal characteristics of the landslide process. Finally, combined with landslide field survey data, the dynamic process of the landslide was reconstructed based on the seismic signal, and the landslide was divided into four stages: the fracture-transition stage, the accelerated initiation stage, the bifurcation-scraping stage, and the deposition stage. The dynamic characteristics of each stage of the landslide are presented. The results indicate that the initial fracture point of the landslide is located between the bottom of the sliding source area and the top of the acceleration zone, not as traditionally thought, at the top of the sliding source area; this would be difficult to determine through field survey and analysis only. These results provide theoretical guidance for the study of seismic signal extraction, identification of landslide dynamic parameters, and characterization and reconstruction of landslide processes. [ABSTRACT FROM AUTHOR]

Event detection capability plays an important role in the operation of seismic observatories and temporary networks. The magnitude threshold for the detection of seismic events with a given network geometry is frequently derived from the observed magnitude of completeness. However, the latter might be unknown for regions that have not been monitored previously or where the observed seismicity rate is low. We present the open-source Python program SN-CAST with which the geographical distribution of event detection capability can be calculated as a function of station coordinates and station ambient noise amplitudes. The method employs the local magnitude scale, and hence is mainly applicable to regional networks with an aperture of less than about 1000 km. The attenuation characteristics of the study region need to be derived independently or be known a priori. SN-CAST can easily be employed to determine network performance in quasi real-time if station data streams are available. It can also be used for designing the geometry of new networks or assessing the effect of adding or removing stations from an existing network. We present examples from the Irish National Seismic Network (https://www.insn.ie), which operates in a region of low seismicity and large variations in ocean and wind-generated seismic noise. The seismicity in Ireland is too low to allow the calculation of a magnitude of completeness for comparison with the derived capability maps. However, the maps are in good agreement with the location and magnitude of detected local and regional earthquakes demonstrating that SN-CAST is a reliable tool for assessing the detection capability of seismic networks. [ABSTRACT FROM AUTHOR]

Hypocentral locations, and depths in particular, are affected by large uncertainties in situations where the available seismic network is sparse and with a small number of local stations recording Pg phases as first arrival (Pg phase is direct wave in the upper crust). In this study, we consider the variability of locations because of the errors associated with arrival time picks, analyzing how this variability, for a constant standard deviation in arrival times, depends on the azimuthal distribution of stations and the number of available Pg phases in the input dataset. Our analysis was carried out on real cases and confirmed the importance of including local stations in the earthquake location process, quantifying how the removal of an increasing number of local stations increased the dispersion of hypocenters. [ABSTRACT FROM AUTHOR]

The AlpArray programme is a multinational, European consortium to advance our understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations, surface processes and seismic hazard in the Alps-Apennines-Carpathians-Dinarides orogenic system. The AlpArray Seismic Network has been deployed with contributions from 36 institutions from 11 countries to map physical properties of the lithosphere and asthenosphere in 3D and thus to obtain new, high-resolution geophysical images of structures from the surface down to the base of the mantle transition zone. With over 600 broadband stations operated for 2 years, this seismic experiment is one of the largest simultaneously operated seismological networks in the academic domain, employing hexagonal coverage with station spacing at less than 52 km. This dense and regularly spaced experiment is made possible by the coordinated coeval deployment of temporary stations from numerous national pools, including ocean-bottom seismometers, which were funded by different national agencies. They combine with permanent networks, which also required the cooperation of many different operators. Together these stations ultimately fill coverage gaps. Following a short overview of previous large-scale seismological experiments in the Alpine region, we here present the goals, construction, deployment, characteristics and data management of the AlpArray Seismic Network, which will provide data that is expected to be unprecedented in quality to image the complex Alpine mountains at depth. [ABSTRACT FROM AUTHOR]

The Dominican Republic has a high level of seismic activity, and a new seismic network has been installed to improve the detection of earthquakes. The network has been operated by Instituto Politécnico Loyola since 2012. It uses six new stations of its own, as well as 17 other stations publically available. In this study, we investigate in particular the south-west of the country where no seismic stations have been operating before. We find an area, SE of the Enriquillo Plantain Garden fault (responsible for the 2010 Haiti M7.0 earthquake), with a high seismic activity (M = 2-4) compared to the surrounding area. This shallow seismicity (except two events around 40 km depth) is not seen in any global catalogs, and it does not seem to be associated with any known faults. However, the region has been under rapid recent uplift since margins between hills and valleys are filled with massive alluvial fans. We made 24 new fault plane solutions using P-polarities and S/P amplitude ratios. The solutions show mainly reverse mechanisms and the P-axis directions are mainly NNE oriented, which is in agreement with a published strain direction from GPS measurements. We conclude that the main cause of the seismicity in our study area is the push of the Beata Ridge against Enriquillo basin and the rest of the Gonave microplate, reflected in the mainly reverse focal mechanisms. [ABSTRACT FROM AUTHOR]

Background: Rockfall events are one of the most dangerous phenomena that often cause several damages both to people and facilities. During recent years, the scientific community focused the attention at evaluating the effectiveness of seismological methods in monitoring these phenomena. In this work, we present a quick and practical method to locate the rebounds of some man-induced boulders falls from a landslides crown located in the Northern Apennines (Central Italy). The reconstruction of the trajectories was obtained by means of back analysis performed through a Matlab code that takes into account both the DEM (Digital Elevation Model) of the ground, the geotechnical-geophysical characteristics of the slope and the arrival times of the seismic signals generated by the rock impacts on the ground. Results: The localization results have been compared with GPS coordinates of the points and videos footage acquired during the simulations, in order to assess the reliability of the method. In most cases, the retrieved impact points match with the real trajectories, showing a high reliability. Furthermore, four different cases have been identified as a function of the geomechanical, geophysical and morphological conditions. Due to the latter ones, in some case it was necessary to assume different values for the propagation velocity of the elastic waves in the ground, here assumed to be isotropic and homogeneous. Conclusions: This work aims at evaluating the effectiveness of a quick and practical method to locate rockfall events using a small-aperture seismic network. The obtained results indicate that the technique can provide quantitative information about the area most prone to impact of detached blocks. The method still presents some uncertainty, but reducing some of the approximations (e.g. by better constraining the velocity model), it could lead to prompt and more accurate results, easily applicable to hazard estimates. [ABSTRACT FROM AUTHOR]

Experience in introduction of an automatic system of earthquake source parameter calculation based on an existing seismic network is described. Open source software products for automatic seismic data processing are reviewed. Methods for real-time waveform stream processing are discussed in detail. Parameters of some subroutines of the system are described. Information flows and data life cycle in the developed automatic system are outlined. Earthquake location errors in the system are analyzed. The detection capability of seismic networks is evaluated. [ABSTRACT FROM AUTHOR]

We present the novel fusion of seismic safety monitoring data of the hydropower plant in Chirkey (Caucasus Mountains, Russia). This includes new hardware solutions and observation methods, along with technical limitations for three types of applications: (a) seismic monitoring of the Chirkey reservoir area, (b) structure monitoring of the dam, and (c) monitoring of turbine vibrations. Previous observations and data processing for health monitoring do not include complex data analysis, while the new system is more rational and less expensive. The key new feature of the new system is remote monitoring of turbine vibration. A comparison of the data obtained at the test facilities and by hydropower plant inspection with remote sensors enables early detection of hazardous hydrodynamic phenomena. [ABSTRACT FROM AUTHOR]

In 1991, a digital seismic monitoring network was installed in Iceland with a digital seismic system and automatic operation. After 20 years of operation, we explore for the first time its nationwide performance by analysing the spatiotemporal variations of the completeness magnitude. We use the Bayesian magnitude of completeness (BMC) method that combines local completeness magnitude observations with prior information based on the density of seismic stations. Additionally, we test the impact of earthquake location uncertainties on the BMC results, by filtering the catalogue using a multivariate analysis that identifies outliers in the hypocentre error distribution. We find that the entire North-to-South active rift zone shows a relatively low magnitude of completeness M in the range 0.5-1.0, highlighting the ability of the Icelandic network to detect small earthquakes. This work also demonstrates the influence of earthquake location uncertainties on the spatiotemporal magnitude of completeness analysis. [ABSTRACT FROM AUTHOR]

The paper gives a structural description of the Winston software suite used by Crimea's network of seismological stations. Winston is an autonomous automated system that provides storage, sharing of seismological data, and also their visualization. The Winston is based on the MySQL relative database. A solution to unify seismological data formats for the Crimean network is described. An example is provided describing open access to the data of Crimean seismic network stations for remote users through the SWARM v2.4.3 program. [ABSTRACT FROM AUTHOR]

Patras is the third largest city in Greece and an ideal candidate for earthquake early warning (EEW) applications due to its high seismic hazard, its existing research infrastructure and the presence of critical structures such as the Rion-Antirion bridge. Patras is located a few hundred kilometres from the Hellenic Arc, where very strong and potentially damaging earthquakes occur. This distance is large enough to allow a few tens of seconds of warning time prior to significant shaking, provided earthquakes are timely detected by a dense seismic network. Within the framework of the EC-funded project REAKT, the Virtual Seismologist (VS) EEW software was installed at Patras Seismological Laboratory. Its initial performance evaluation is presented here. In general VS provides magnitudes similar to the official, manually revised ones. Given the current station density and network telemetry, the average time that VS needs to deliver the first magnitude estimate is rather large, of the order of tens of seconds and not yet satisfactory for routine operational use of EEW. Even so, the system is able to provide up to 10 s of warning time prior to S-wave arrivals for events occurring on the Hellenic Arc. Our results indicate that the seismic networks in Greece need enhancements for regional EEW, either by adding stations or by upgrading the hardware to reduce delays. The application of an EEW system in the area is promising and, once operational, capable of mitigating earthquake risk. [ABSTRACT FROM AUTHOR]

Ambient seismic noise is caused by a number of sources in specific frequency bands. The quantification of ambient noise makes it possible to evaluate station and network performance. We evaluate noise levels in Norway from the 2013 data set of the Norwegian National Seismic Network as well as two temporary deployments. Apart from the station performance, we studied the geographical and temporal variations, and developed a local noise model for Norway. The microseism peaks related to the ocean are significant in Norway. We, therefore, investigated the relationship between oceanic weather conditions and noise levels. We find a correlation of low-frequency noise (0.125-0.25 Hz) with wave heights up to 900 km offshore. High (2-10 Hz) and intermediate (0.5-5 Hz) frequency noise correlates only up to 450 km offshore with wave heights. From a geographic perspective, stations in southern Norway show lower noise levels for low frequencies due to a larger distance to the dominant noise sources in the North Atlantic. Finally, we studied the influence of high-frequency noise levels on earthquake detectability and found that a noise level increase of 10 dB decreases the detectability by 0.5 magnitude units. This method provides a practical way to consider noise variations in detection maps. [ABSTRACT FROM AUTHOR]

The expansion of industrial and defense activities in the Arctic as part of the execution of a state program on the development of its territory requires seismic safety assurance of constructed and existing critical facilities. The data presented in this paper show that the current understanding of the seismicity of the Arctic and particularly of its shelf given in building regulations is quite simplistic and does not reflect the complexity of the situation and the intensity of expected seismic effects. To a large extent, safety problems can be solved by the seismic monitoring of the area. For this purpose, it is necessary to expand existing networks of seismic stations, to equip them with tools for monitoring groups, and to increase the number of island seismic stations. The primary task is to refine the seismic zoning of Arctic territories based on the new data. [ABSTRACT FROM AUTHOR]

Extension of permanent seismic networks is usually governed by a number of technical, economic, logistic, and other factors. Planned upgrade of the network can be justified by theoretical assessment of the network capability in terms of reliable estimation of the key earthquake parameters (e.g., location and focal mechanisms). It could be useful not only for scientific purposes but also as a concrete proof during the process of acquisition of the funding needed for upgrade and operation of the network. Moreover, the theoretical assessment can also identify the configuration where no improvement can be achieved with additional stations, establishing a tradeoff between the improvement and additional expenses. This paper presents suggestion of a combination of suitable methods and their application to the Little Carpathians local seismic network (Slovakia, Central Europe) monitoring epicentral zone important from the point of seismic hazard. Three configurations of the network are considered: 13 stations existing before 2011, 3 stations already added in 2011, and 7 new planned stations. Theoretical errors of the relative location are estimated by a new method, specifically developed in this paper. The resolvability of focal mechanisms determined by waveform inversion is analyzed by a recent approach based on 6D moment-tensor error ellipsoids. We consider potential seismic events situated anywhere in the studied region, thus enabling 'mapping' of the expected errors. Results clearly demonstrate that the network extension remarkably decreases the errors, mainly in the planned 23-station configuration. The already made three-station extension of the network in 2011 allowed for a few real data examples. Free software made available by the authors enables similar application in any other existing or planned networks. [ABSTRACT FROM AUTHOR]

Song Tranh 2 hydropower plant and the reservoir containing backed up water are located in the Quang Nam province (Central Vietnam). The region experiences unusual seismic activity related to the reservoir impoundment, with earthquakes of magnitude up to 4.7. In result of cooperation between the Institute of Geophysics, Vietnam Academy of Sciences and Technology and the Institute of Geophysics, Polish Academy of Sciences a seismic network has been built to facilitate seismic monitoring of the Song Tranh 2 area. The network, operating since August 2013, consists of 10 seismic stations. Here we show that the network is sufficient for advanced data processing. The first results of monitoring of the earthquake activity in Song Tranh 2 area in the period between 2012 and 2014, especially the completeness of catalogs, study and comparisons between water level and the seismic activity suggest direct connection between reservoir exploitation and anthropogenic seismicity. [ABSTRACT FROM AUTHOR]

Various developmental activities like installation of hydroelectric projects, multipurpose projects, nuclear power plants, rapid urbanization and industrial growth needs mapping seismically active faults and correlating with the regional tectonics. This is the present day demand from the society to seismologists at large. To meet this demand the agencies involved in earthquake research, National Geophysical Research Institute (NGRI), recently commissioned state of art broad band seismological networks in Andhra Pradesh and adjoining states in southern peninsular shield to study the seismic activity in eastern Dharwar craton. Installation of seismic networks namely Andhra Pradesh seismic network, Koyna seismic network, and shield seismic networks operated by National Geophysical Research Institute in southern peninsular shield tremendously improved the capabilities of monitoring the earthquake activity in near real time. This article deals with the application and necessity of monitoring micro earthquake activity by installing network of seismic stations along pre existing zones of weakness, which have been earlier subjected to major earthquakes like Kinnerasani-Godavari fault (Bhadrachalam region), Gundlakamma river fault (Ongole region) and characterizing the nature of faulting associated with the above. [ABSTRACT FROM AUTHOR]

We evaluate the contribution of the Arkhangelsk seismic network to the recording of seismic events of the Arctic region. The evaluation is performed by means of the general analysis of the network seismic catalog, evaluation of the magnitude sensitivity, and comparative analysis of the Arkhangelsk network catalogs with NORSAR seismological data services and the Geophysical Service of the Russian Academy of Sciences. It is established that the Arkhangelsk network has a rather high sensitivity and records the intra-plate and inter-plate seismic activity in the Arctic Region. Due to the start of the seismic station operation on the Franz Josef Land Archipelago, there is a capability to record earthquakes, data on which are missing in the catalogs of well-known seismological data services. [ABSTRACT FROM AUTHOR]

Geodynamic conditions in the territory of the Kabardino-Balkar Republic are characterized by a high variety of processes: seismic events of different classes, including swarms of weak earthquakes and the technogenic phenomena (chemical explosion), local geodynamic processes around the Elbrus volcanic center, and various exogenous processes, such as landslides, mud flows, and rock-ice slides. The possibilities of researching all these phenomena with use of a regional network of digital seismic stations are considered in the present article. [ABSTRACT FROM AUTHOR]

The key stages of automation of routine earthquake data processing are described. The software, technologies, and equipment are specified. The method for determining earthquake source parameters is considered in details. The experience in the seismological data interpretation taking recent velocity profiles of the region into account is demonstrated and the determination accuracy is justified. The information about the configuration of the local network of seismic stations and the velocity structure of the earth's crust in the north of Sakhalin Island is presented. [ABSTRACT FROM AUTHOR]

swarm of earthquakes of magnitudes up to M = 3.8 stroke the region of West Bohemia/Vogtland (border area between Czechia and Germany) in October 2008. It occurred in the Nový Kostel focal zone, where also all recent earthquake swarms (1985/1986, 1997, and 2000) took place, and was striking by a fast sequence of macroseismically observed earthquakes. We present the basic characteristics of this swarm based on the observations of a local network WEBNET (West Bohemia seismic network), which has been operated in the epicentral area, on the Czech territory. The swarm was recorded by 13 to 23 permanent and mobile WEBNET stations surrounding the swarm epicenters. In addition, a part of the swarm was also recorded by strong-motion accelerometers, which represent the first true accelerograms of the swarm earthquakes in the region. The peak ground acceleration reached 0.65 m/s. A comparison with previous earthquake swarms indicates that the total seismic moments released during the 1985/1986 and 2008 swarms are similar, of about 4E16 Nm, and that they represent the two largest swarms that occurred in the West Bohemia/ Vogtland region since the M = 5.0 swarm of 1908. Characteristic features of the 2008 swarm are its short duration (4 weeks) and rapidity and, consequently, the fastest seismic moment release compared to previous swarms. Up to 25,000 events in the magnitude range of 0.5 < M < 3.8 were detected using an automatic picker. A total of nine swarm phases can be distinguished in the swarm, five of them exceeding the magnitude level of 2.5. The magnitude-frequency distribution of the complete 2008 swarm activity shows a b value close to 1. The swarm hypocenters fall precisely on the same fault portion of the Nový Kostel focal zone that was activated by the 2000 swarm ( M ≤ 3.2) in a depth interval from 6 to 11 km and also by the 1985/1986 swarm ( M ≤ 4.6). The steeply dipping fault planes of the 2000 and 2008 swarms seem to be identical considering the location error of about 100 m. Furthermore, focal mechanisms of the 2008 swarm are identical with those of the 2000 swarm, both matching an average strike of 170° and dip of 80° of the activated fault segment. An overall upward migration of activity is observed with first events at the bottom and last events at the top of the of the activated fault patch. Similarities in the activated fault area and in the seismic moments released during the three largest recent swarms enable to estimate the seismic potential of the focal zone. If the whole segment of the fault plane was activated simultaneously, it would represent an earthquake of M ~5. This is in good agreement with the estimates of the maximum magnitudes of earthquakes that occurred in the West Bohemia/Vogtland region in the past. [ABSTRACT FROM AUTHOR]

A great earthquake occurred at 00:58:49 (UTC) on Sunday, December 26, 2004 off the northwest coast of Sumatra, Indonesia. Its revised moment magnitude was M 9.3 making it in the top four largest earthquakes in the world since 1900 and the largest since the Alaskan 1964 event. The earthquake caused tsunami waves which killed more than 300,000 people in Southern Asia and Africa. There were 31 earthquakes with magnitudes between 5.5 and 7.3 in the 48-h period after the main event, and it seemed that seismicity migrated northwards along the 1200 km fault (http: //www.ga.gov.au). Similar size events occurred in that location off Sumatra in the 19th century, but no evidence of written records of their tsunami effects in Australia is found. The devastating megathrust earthquake of 26 December 2004 occurred on the interface of the Indo-Australian and Euro-Asian plates where the first plate subducts beneath the overriding second plate and the Indo-Australian plate begins its descent into the mantle. In the epicentral region, the Indo-Australian plate moves toward the northeast at a rate of about 7 cm/year relative to the Euro-Asian plate resulting in oblique convergence and partitioning into thrust-faulting. From the size of the earthquake, it is likely that the displacement on the fault plane was up to fifteen meters. As with the recent event, megathrust earthquakes often generate large tsunamis that cause damage over a much wider area than is directly affected by ground shaking near the earthquake’s rupture. The subduction zone continues further south of the Indonesian archipelago and that area is also a potential risk of producing a megathrust event that may affect coastal parts of northwest Australia. The tragic events of Boxing Day 2004 highlighted the importance of establishing a tsunami warning system for the Indian Ocean like the one for the Pacific. Issues like more and better instrumentation, and a long-term program to educate people in the region about the dangers of tsunamis, were identified as priorities. Of particular interest is the time for identifying and issuing alerts for such devastating earthquakes with possibility to reduce it in future for warning purposes. [ABSTRACT FROM AUTHOR]

In 1997, the Federal Emergency Management Agency (FEMA), National Oceanic and Atmospheric Administration (NOAA), U.S. Geological Survey (USGS), and the five western States of Alaska, California, Hawaii, Oregon, and Washington joined in a partnership called the National Tsunami Hazard Mitigation Program (NTHMP) to enhance the quality and quantity of seismic data provided to the NOAA tsunami warning centers in Alaska and Hawaii. The NTHMP funded a seismic project that now provides the warning centers with real-time seismic data over dedicated communication links and the Internet from regional seismic networks monitoring earthquakes in the five western states, the U.S. National Seismic Network in Colorado, and from domestic and global seismic stations operated by other agencies. The goal of the project is to reduce the time needed to issue a tsunami warning by providing the warning centers with high-dynamic range, broadband waveforms in near real time. An additional goal is to reduce the likelihood of issuing false tsunami warnings by rapidly providing to the warning centers parametric information on earthquakes that could indicate their tsunamigenic potential, such as hypocenters, magnitudes, moment tensors, and shake distribution maps. New or upgraded field instrumentation was installed over a 5-year period at 53 seismic stations in the five western states. Data from these instruments has been integrated into the seismic network utilizing Earthworm software. This network has significantly reduced the time needed to respond to teleseismic and regional earthquakes. Notably, the West Coast/Alaska Tsunami Warning Center responded to the 28 February 2001 Mw 6.8 Nisqually earthquake beneath Olympia, Washington within 2 minutes compared to an average response time of over 10 minutes for the previous 18 years. [ABSTRACT FROM AUTHOR]

In this paper, we analyse the seismicity distribution in the CentralApennines (Italy) using the recordings of the Rete SismometricaMarchigiana (RSM). In particular, the selected events are relocated usinga 1-D model calculated by means of an inversion procedure. The robustnessof the 1-D model and the location accuracy are tested. The capability ofthe RSM to well constrain crustal and subcrustal events in the studied areais discussed. We find that in the inner side of the chain the seismicity liesin the upper crustal layers, following the structural trend of the Apenninicbelt. A W-deepening of the events is observed in the Apenninic foredeep,where the seismicity is mainly confined in the lower crust. This evidenceimplies the deepening of the brittle to ductile transition. Some well-locatedsubcrustal events are found. Their locations seem to confirm the W-dippingsubduction of the Adriatic lithosphere beneath the Apennines. [ABSTRACT FROM AUTHOR]

Data from a portable array of three-component digital stations, run at Mt Etna from 1988 to early 1990, highlight the seismic behaviour of the volcano before the 1989 eruption, one of the most significant in terms of energy of the last two decades. After a two-year period of weak and discotinuous seismicity, the depth of the seismically active volumes was observed to become shallower a few months before the volcanic event. The overall migration of the events, inferred by hypocentral locations and decreases of S-P time differences at two stations, agrees with other geophysical forerunners and allows further insights into the changes in the stress field leading to the eruption. [ABSTRACT FROM AUTHOR]

In this paper, we present the first detailed study of earthquake detection capabilities of the Saudi National Seismic Network (SNSN), which is operated since 2006 by National Center of Earthquakes and Volcanoes, Saudi Geological Survey (SGS). Seismic monitoring in Saudi Arabia has a great improvement after the installation of the Saudi National Seismic Network and upgrading the previous analog telemetry networks. The spatial distribution of the seismic stations covers most of Saudi Arabia and concentrated mainly in the Western part. Since the operation of the network, a significant number of local, regional, and teleseismic events are located by manually and automatic processing. Consequently, the data was revised and archived in the databases. The detection-location capability of the Saudi National Seismic Network has been estimated for the period 2016–2017. The obtained maps show that the network in this time period has the ability to detect and locate earthquakes occurred in Saudi Arabia and its surroundings. For the present network configuration and stations characteristics, the technique determines the lowest magnitude of events that the seismic network is able to detect, locate, and estimate errors in both location and origin time for different magnitudes. According to the obtained results in this study, all Harrats (volcanic) regions and recent active areas as Jazan, North Umluj, and the Gulf of Aqaba indicate that the detectability level is less than magnitude (ML) < 1.0, and have adequate seismic stations. While Harrat layyniar volcanic region has a superior detectability level that can detect events with negative magnitude down to − 0.3 ML. The middle and the northern parts of Saudi Arabia are covered with reasonable number of seismic stations; therefore, they have a moderate completeness of magnitudes ML 2.7. As a final result, the SNSN with its current status is capable to detect all events occur inside the Saudi Arabia and its surroundings, except the Rub' al Khali region, because it has no seismic stations installed. [ABSTRACT FROM AUTHOR]