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...
Published in: | Book of Extended Abstracts for the 32nd European Safety and Reliability Conference |
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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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1796945705608151040 |