Towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake

This paper is concerned with the novel short-term and operational-term seismic hazard assessment approach within the critical service operators and the manufacturing industry. The Cosmetecor earthquake prediction methodology has been tested and validated in the recent two decades. A prototype, Kuzne...

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Published in:Book of Extended Abstracts for the 32nd European Safety and Reliability Conference
Main Authors: V. Bobrovskiy, A. Kaplin, P. Trucco
Other Authors: V. Bobrovskiy, A. Kaplin, P.Trucco, M.C. Leva, E. Patelli, L. Podofillini, S. Wilson, Bobrovskiy, V., Kaplin, A., Trucco, P.
Format: Conference Object
Language:English
Published: Research Publishing 2022
Subjects:
Online Access:http://hdl.handle.net/11311/1222346
https://doi.org/10.3850/978-981-18-5183-4_S08-06-484-cd
https://www.rpsonline.com.sg/proceedings/esrel2022/html/toc.html
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spelling ftpolimilanoiris:oai:re.public.polimi.it:11311/1222346 2024-04-21T08:06:21+00:00 Towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake V. Bobrovskiy A. Kaplin P. Trucco V. Bobrovskiy, A. Kaplin, P.Trucco M.C. Leva, E. Patelli, L. Podofillini, S. Wilson Bobrovskiy, V. Kaplin, A. Trucco, P. 2022 ELETTRONICO http://hdl.handle.net/11311/1222346 https://doi.org/10.3850/978-981-18-5183-4_S08-06-484-cd https://www.rpsonline.com.sg/proceedings/esrel2022/html/toc.html eng eng Research Publishing place:Singapore info:eu-repo/semantics/altIdentifier/isbn/978-981-18-5183-4 ispartofbook:Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) European Conference on Safety and Reliability 2022 firstpage:2223 lastpage:2229 numberofpages:7 alleditors:M.C. Leva, E. Patelli, L. Podofillini, S. Wilson http://hdl.handle.net/11311/1222346 doi:10.3850/978-981-18-5183-4_S08-06-484-cd https://www.rpsonline.com.sg/proceedings/esrel2022/html/toc.html info:eu-repo/semantics/openAccess Seismic Risk Reinsurance Seasonality Risk management info:eu-repo/semantics/conferenceObject 2022 ftpolimilanoiris https://doi.org/10.3850/978-981-18-5183-4_S08-06-484-cd 2024-03-25T16:20:07Z This paper is concerned with the novel short-term and operational-term seismic hazard assessment approach within the critical service operators and the manufacturing industry. The Cosmetecor earthquake prediction methodology has been tested and validated in the recent two decades. A prototype, Kuznetsov method, for exploring the Earth's interior has been used to create global monitoring network, which automatically detects spatial-temporal clusters and identifies electric potential anomalies. Research team developed the mathematical modelling of proton migration in terms of the fundamental Vlasov-Maxwell equation to convert original time series into visualization of electromagnetic wave. A 2-layer neural network model is used to fine-grained classification. Further, the statistical and scaling laws of seismicity have been exploited to present case of earthquake seasonality, i.e., a dataset of abnormal seismic scenarios for machine learning task. Finally, authors evaluated results in terms of reliability and accuracy of earthquake warnings at M5.2 threshold in Kamchatka: 17% of all warning represent missed alerts, and 83% represent correct alerts where events occurred in a 10-year time horizon. Common outcome in almost every case is mean lead time (time horizon) of 11.62 days. The dispersion is 6.7 days. Further, a non-random sample of the Italian companies assessed new benefits of methodology during survey. The stakeholders confirmed that they will be able to activate business continuity plan to mitigate earthquake consequences in a specific time frame. It is anticipated the emergence of new risk management practices on the Cosmetecor-based high technology of the 21st century, and the replacement of the long-term, one-in-a-hundred-year return period, assessment with a short-term, seasonal, seismic risk assessment. Conference Object Kamchatka RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano Book of Extended Abstracts for the 32nd European Safety and Reliability Conference 2223 2229
institution Open Polar
collection RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano
op_collection_id ftpolimilanoiris
language English
topic Seismic Risk
Reinsurance
Seasonality
Risk management
spellingShingle Seismic Risk
Reinsurance
Seasonality
Risk management
V. Bobrovskiy
A. Kaplin
P. Trucco
Towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake
topic_facet Seismic Risk
Reinsurance
Seasonality
Risk management
description This paper is concerned with the novel short-term and operational-term seismic hazard assessment approach within the critical service operators and the manufacturing industry. The Cosmetecor earthquake prediction methodology has been tested and validated in the recent two decades. A prototype, Kuznetsov method, for exploring the Earth's interior has been used to create global monitoring network, which automatically detects spatial-temporal clusters and identifies electric potential anomalies. Research team developed the mathematical modelling of proton migration in terms of the fundamental Vlasov-Maxwell equation to convert original time series into visualization of electromagnetic wave. A 2-layer neural network model is used to fine-grained classification. Further, the statistical and scaling laws of seismicity have been exploited to present case of earthquake seasonality, i.e., a dataset of abnormal seismic scenarios for machine learning task. Finally, authors evaluated results in terms of reliability and accuracy of earthquake warnings at M5.2 threshold in Kamchatka: 17% of all warning represent missed alerts, and 83% represent correct alerts where events occurred in a 10-year time horizon. Common outcome in almost every case is mean lead time (time horizon) of 11.62 days. The dispersion is 6.7 days. Further, a non-random sample of the Italian companies assessed new benefits of methodology during survey. The stakeholders confirmed that they will be able to activate business continuity plan to mitigate earthquake consequences in a specific time frame. It is anticipated the emergence of new risk management practices on the Cosmetecor-based high technology of the 21st century, and the replacement of the long-term, one-in-a-hundred-year return period, assessment with a short-term, seasonal, seismic risk assessment.
author2 V. Bobrovskiy, A. Kaplin, P.Trucco
M.C. Leva, E. Patelli, L. Podofillini, S. Wilson
Bobrovskiy, V.
Kaplin, A.
Trucco, P.
format Conference Object
author V. Bobrovskiy
A. Kaplin
P. Trucco
author_facet V. Bobrovskiy
A. Kaplin
P. Trucco
author_sort V. Bobrovskiy
title Towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake
title_short Towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake
title_full Towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake
title_fullStr Towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake
title_full_unstemmed Towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake
title_sort towards a new seismic short-term prediction methodology for critical service operators and manufacturing companies against earthquake
publisher Research Publishing
publishDate 2022
url http://hdl.handle.net/11311/1222346
https://doi.org/10.3850/978-981-18-5183-4_S08-06-484-cd
https://www.rpsonline.com.sg/proceedings/esrel2022/html/toc.html
genre Kamchatka
genre_facet Kamchatka
op_relation info:eu-repo/semantics/altIdentifier/isbn/978-981-18-5183-4
ispartofbook:Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022)
European Conference on Safety and Reliability 2022
firstpage:2223
lastpage:2229
numberofpages:7
alleditors:M.C. Leva, E. Patelli, L. Podofillini, S. Wilson
http://hdl.handle.net/11311/1222346
doi:10.3850/978-981-18-5183-4_S08-06-484-cd
https://www.rpsonline.com.sg/proceedings/esrel2022/html/toc.html
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3850/978-981-18-5183-4_S08-06-484-cd
container_title Book of Extended Abstracts for the 32nd European Safety and Reliability Conference
container_start_page 2223
op_container_end_page 2229
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