rsudp: A Python package for real-time seismic monitoring with Raspberry Shake instruments

This paper introduces the state-of-the-art seismic monitoring system implemented for the 1,206-m-long (3,956 ft) cable-stayed Bill Emerson Memorial Bridge in Cape Girardeau (Missouri), a new Mississippi River crossing, approximately 80 km from the epicentral region of the 1811 and 1812 New Madrid earthquakes. The real-time seismic monitoring system for the bridge includes a broadband network consisting of superstructure and free-field arrays and comprises a total of 84 channels of accelerometers deployed on the superstructure (towers and deck), pier foundations (caisson tops and bents), and in the vicinity of the bridge (e.g., free-field, both surface and downhole). The paper also introduces the high-quality response data obtained from the broadband network that otherwise would not have been possible with older instruments. Such data is aimed to be used by the owner, researchers, and engineers to (1) assess the performance of the bridge, (2) check design parameters, including the comparison of dynamic characteristics with actual response, and (3) better design future similar bridges. Preliminary spectral analyses of low-amplitude ambient vibration data and that from a small earthquake reveal specific response characteristics of this new bridge and the free-field in its proximity. There is coherent tower-cable-deck interaction that sometimes results in amplified ambient motions. Also, while the motions at the lowest (triaxial) downhole accelerometers on both Missouri and Illinois sides are practically free from any feedback of motions of the bridge, the motions at the middle downhole and surface accelerometers are influenced significantly even by amplified ambient motions of the bridge.

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OGS improvements in 2012 in running the North-eastern Italy Seismic Network: the Ferrara VBB borehole seismic station

Advances in Geosciences ◽

10.5194/adgeo-36-61-2014 ◽

2014 ◽

Vol 36 ◽

pp. 61-67

Author(s):

D. Pesaresi ◽

M. Romanelli ◽

C. Barnaba ◽

P. L. Bragato ◽

G. Durì

Keyword(s):

Real Time ◽

Seismic Station ◽

Broad Band ◽

Seismic Monitoring ◽

Seismic Network ◽

Research Centre ◽

Seismic Stations ◽

The North ◽

North Eastern ◽

Borehole Seismic

Abstract. The Centro di Ricerche Sismologiche (CRS, Seismological Research Centre) of the Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS, Italian National Institute for Oceanography and Experimental Geophysics) in Udine (Italy) after the strong earthquake of magnitude M=6.4 occurred in 1976 in the Italian Friuli-Venezia Giulia region, started to operate the North-eastern Italy Seismic Network: it currently consists of 17 very sensitive broad band and 18 simpler short period seismic stations, all telemetered to and acquired in real time at the OGS-CRS data centre in Udine. Real time data exchange agreements in place with other Italian, Slovenian, Austrian and Swiss seismological institutes lead to a total number of about 100 seismic stations acquired in real time, which makes the OGS the reference institute for seismic monitoring of North-eastern Italy. The south-western edge of the OGS seismic network (Fig. 1) stands on the Po alluvial basin: earthquake localization and characterization in this area is affected by the presence of soft alluvial deposits. OGS ha already experience in running a local seismic network in high noise conditions making use of borehole installations in the case of the micro-seismicity monitoring of a local gas storage site for a private company. Following the ML = 5.9 earthquake that struck the Emilia region around Ferrara in Northern Italy on 20 May 2012 at 02:03:53 UTC, a cooperation of Istituto Nazionale di Geofisica e Vulcanologia, OGS, the Comune di Ferrara and the University of Ferrara lead to the reinstallation of a previously existing very broad band (VBB) borehole seismic station in Ferrara. The aim of the OGS intervention was on one hand to extend its real time seismic monitoring capabilities toward South-West, including Ferrara and its surroundings, and on the other hand to evaluate the seismic response at the site. We will describe improvements in running the North-eastern Italy Seismic Network, including details of the Ferrara VBB borehole station configuration and installation, with first results.

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El-Picker: a machine learning-enhanced robust P-phase picker for real-time seismic monitoring

Scientia Sinica Informationis ◽

10.1360/ssi-2020-0214 ◽

2021 ◽

Vol 51 (6) ◽

pp. 912

Author(s):

Dazhong SHEN ◽

Qi ZHANG ◽

Tong XU ◽

Hengshu ZHU ◽

Wenjia ZHAO ◽

...

Keyword(s):

Machine Learning ◽

Real Time ◽

Seismic Monitoring

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The first results of the seismic monitoring system of the Solntsevsky open pit coal mine area (on Sakhalin Island)

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/946/1/012002 ◽

2021 ◽

Vol 946 (1) ◽

pp. 012002

Author(s):

D V Kostylev ◽

N V Boginskaya

Keyword(s):

Real Time ◽

Monitoring System ◽

Coal Mine ◽

Seismic Monitoring ◽

Sakhalin Island ◽

Open Pit ◽

Seismic Events ◽

Time Data ◽

Active Coal ◽

First Results

Abstract In 2021, work began as a part of the implementation of the decision of the protocol of the Sakhalin branch of the Russian Expert Council on earthquake prediction, seismic hazard and risk assessment dated October 6, 2020 on detailed monitoring in the area of active coal mining at the Solntsevsky open pit coal mine (Sakhalin Island). New points of seismic monitoring were installed directly in the area of the open pit coal mine. Integration of real-time data received from the points in real time into a unified seismic monitoring system in the Sakhalin Region was ensured. The results of registration of seismic events of various origins since the commissioning of the stations are presented. A significant increase in the accuracy of the determined epicenters and the possibilities of determining earthquakes and industrial explosions has been noted. The results of the monitoring system for studying the landslide process in the area of the open pit coal mine, as well as the probable factors that caused the landslide, are shown. The developed monitoring system allows for representative registration of seismic events with ML ≥ 0.8 in the immediate vicinity of open pit coal mine, which makes it possible to control blasting operations with increased accuracy, as well as weak and possible induced seismicity formed as a result of a constant technogenic impact on the subsoil.

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