Zobrazeno 1 - 10
of 798
pro vyhledávání: '"the seismic network"'
Publikováno v:
Earthquake Science, Vol 37, Iss 5, Pp 434-444 (2024)
The Arkhangelsk Seismic Network (ASN) of the N. Laverov Federal Center for Integrated Arctic Research of the Ural Branch of the Russian Academy of Sciences, founded in 2003, includes 10 permanent seismic stations located on the coasts of the White, B
Externí odkaz:
https://doaj.org/article/eade808944274a4ea003de4a7ac7ea74
Autor:
Antonio Fuggi, Simone Re, Giorgio Tango, Sergio Del Gaudio, Alessandro Brovelli, Giorgio Cassiani
Publikováno v:
Earthquake Science, Vol 37, Iss 5, Pp 415-433 (2024)
The ability to estimate earthquake source locations, along with the appraisal of relevant uncertainties, is paramount in monitoring both natural and human-induced micro-seismicity. For this purpose, a monitoring network must be designed to minimize t
Externí odkaz:
https://doaj.org/article/aa5447066f504240aff45b518ee08116
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 2, Pp 1-9 (2024)
Due to high-intensity mining and complex geological conditions, frequent occurrence of rock burst disasters in deep coal mines in China is posing serious threats to mine safety and efficiency. The insufficient locating accuracy of the seismic monitor
Externí odkaz:
https://doaj.org/article/3112736bd1234d6bbd722cf34c907954
Akademický článek
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Publikováno v:
IEEE Access, Vol 11, Pp 39926-39933 (2023)
The low-cost IoT seismometer (LCIS), which embeds a micro-electro-mechanical systems accelerometer and LTE communication sensor, has been developed and deployed in South Korea. Currently, approximately 7,000 stations (with an average density of 0.07/
Externí odkaz:
https://doaj.org/article/0463f576b2c742cf93d187dfc2d3a465
Publikováno v:
Geoscience Letters, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract 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 TM
Externí odkaz:
https://doaj.org/article/00f8df532be643d284f6b4f81037ba4a
Autor:
Monica Sugan, Laura Peruzza, Maria Adelaide Romano, Mariangela Guidarelli, Luca Moratto, Denis Sandron, Milton Percy Plasencia Linares, Marco Romanelli
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractIt is an open question whether machine-learning (ML) methods can be trusted in areas where dense and localized seismic networks are in operation, and prompt and accurate detection and location of earthquakes are essential to guide decision-ma
Externí odkaz:
https://doaj.org/article/c99fe2049f4b4c1f91ac1e181c5fea3c
Publikováno v:
Earthquake Science, Vol 35, Iss 6, Pp 510-518 (2022)
We present results of a detailed analysis of data obtained from seismic geodynamic field studies conducted at proposed sites for the development of advanced seismic monitoring stations in the Republic of Armenia. These studies aim to determine the ba
Externí odkaz:
https://doaj.org/article/d1ecafae25f848dfa3c6acaad2476b64
Akademický článek
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Akademický článek
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