中文版 | English
Title

Earthquake Early Warning System (EEWS) empowered by Time-Dependent Neo-Deterministic Seismic Hazard Assessment (TD-NDSHA)

Author
Corresponding AuthorWu, Zhongliang; Romanelli, Fabio
Publication Years
2023-03-01
DOI
Source Title
ISSN
0954-4879
EISSN
1365-3121
Abstract
In the network-based on-site earthquake early warning system (EEWS), the 'blind zone', namely the zone where the issued warning arrives later than the destructive S and surface waves, is one of the challenges affecting its effectiveness. The 'blind zone' is determined by the interstation distance, or equivalently the density of seismic stations, of the network. In this paper, we suggest a practical approach according to which, when in a region a temporary increase of seismic hazard is declared, additional stations are deployed in such a way that the blind zone is temporarily reduced. In the procedure, the time-dependent neo-deterministic seismic hazard assessment (TD-NDSHA) plays a vital role in the identification of the regions potentially exposed to high macroseismic intensities. As a showcase example, we consider the scenario of year 2014 at the Sichuan-Yunnan border of southwest China. The TD-NDSHA is based on the standard NDSHA procedure at regional scale (bedrock conditions), with the 'controlling earthquakes' defined on the basis of the Annual Consultation. We show that the 'blind zone' can be reduced in the identified areas of interest (e.g., MMI = VI), by deploying a limited number of additional seismic stations. In the case where false alarms can be tolerated, significant reduction of the 'blind zone' can be implemented by moving from a network- based EEWS to a single-sensor- based EEWS and skipping the process of location and magnitude-determination/prediction procedures.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
Funding Project
National Natural Science Foundation of China[U2039207]
WOS Research Area
Geology
WOS Subject
Geosciences, Multidisciplinary
WOS Accession No
WOS:000957287300001
Publisher
ESI Research Field
GEOSCIENCES
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/523986
DepartmentAcademy for Advanced Interdisciplinary Studies
Affiliation
1.China Earthquake Adm, Inst Geophys, Beijing, Peoples R China
2.China Earthquake Adm, Inst Earthquake Forecasting, Beijing, Peoples R China
3.Univ Trieste, Dept Math & Geosci, Trieste, Italy
4.Natl Inst Oceanog & Appl Geophys OGS, Udine, Italy
5.Southern Univ Sci & Technol SUSTech, Inst Risk Anal, Acad Adv Interdisciplinary Studies, Predict & Management Risks X, Shenzhen, Peoples R China
6.Beijing Univ Civil Engn & Architecture BUCEA, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Yan,Wu, Zhongliang,Romanelli, Fabio,et al. Earthquake Early Warning System (EEWS) empowered by Time-Dependent Neo-Deterministic Seismic Hazard Assessment (TD-NDSHA)[J]. TERRA NOVA,2023.
APA
Zhang, Yan.,Wu, Zhongliang.,Romanelli, Fabio.,Vaccari, Franco.,Peresan, Antonella.,...&Panza, Giuliano F..(2023).Earthquake Early Warning System (EEWS) empowered by Time-Dependent Neo-Deterministic Seismic Hazard Assessment (TD-NDSHA).TERRA NOVA.
MLA
Zhang, Yan,et al."Earthquake Early Warning System (EEWS) empowered by Time-Dependent Neo-Deterministic Seismic Hazard Assessment (TD-NDSHA)".TERRA NOVA (2023).
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