ReLUIS Riunione Coordinamento TASK AT3.1. Task Reti temporanee (per l Early Warning)

Dimensione: px

Iniziare la visualizzazioe della pagina:

Download "ReLUIS Riunione Coordinamento TASK AT3.1. Task Reti temporanee (per l Early Warning)"

Arnoldo Bini
5 anni fa
Visualizzazioni

ReLUIS 2010-2013 Riunione Coordinamento TASK AT3.

1 ReLUIS Riunione Coordinamento TASK AT3.1 Dipartimento t di Scienze Fisiche, i UniNA Prof. Aldo Zollo Task Reti temporanee (per l Early Warning)

2 Scopo della ricerca e attività previste Scopo: Analisi costi/benefici e progettazione esecutiva di sistemi mobili di Early Warning Sismico, con incluse possibilità di interazione con sistemi monitoraggio i Attività previste: Analisi dei requisiti di un sistema mobile per l Early Warning sismico Definizione dell architettura e della componentistica del sistema con le specifiche tecniche dell hardware Metodologie di analisi dei segnali ed algoritmica per la notifica in tempo reale dell allerta sismica Simulazione i numerica del sistema e prove sperimentali AMRA, Task AT3.1 Riunione di Coordinamento

3 Cronoprogramma e attività in corso Attività 6 mesi 12 mesi 18 mesi 24mesi 30 mesi 36 mesi Analisi i della stato t *R1 dell arte. Individuazioni requisiti fondamentali del sistema Definizione componentistica del sistema (hardware) Metodologia analisi dei segnali per l allerta Simulazioni numeriche e prove sperimentali Risultati sulla Fattibilità del sistema *R = Rapporto R2 R3 R4 R5 AMRA, Task AT3.1 Riunione di Coordinamento

4 Rapporti con le altre UR e linee di ricerca Dipartimento di Ingegneria Strutturale UniNA In attesa della valutazione del Progetto F.A.R.O Early Warning Sismico: sviluppo e test di un sistema prototipo per l allerta sismica preventiva in un edificio pubblico AMRA, Task AT3.1 Riunione di Coordinamento

5 C. Satriano, L. Elia; C. Martino; M. Lancieri, A. Zollo, G. Iannaccone Methodologies Network-based or regional : PRESTo, Probabilistic and Evolutionary Early Warning System Stand-alone or on-site : Threshold-Based early warning system AMRA, Task AT3.1 Riunione di Coordinamento

6 Earthquake Early Warning Systems Objective: To estimate in a fast and reliable way the earthquake s damage potential Network Based (or Regional) Approach Seismic Network Detection and Location Magnitude Estimation Peak Ground Motion Prediction Lead-time: (S-arrival time at the target)- (first-p at the network ) Lead-time (S-arrival time at the target)- (P-arrival at the target) Seismic Station Early Ground Motion Measurement Peak Ground Motion Prediction Single Station (or On Site) Approach

P Automatic Picking RT Earthquake location RT Magnitude estimation PGX prediction at the target sites An integrated software platform for

7 PRESTo (Probabilistic bili & evolutionary R Earlyl warning SysTem) Automatic procedures for the probabilistic and evolutionary estimation of source parameters and prediction of ground motion shaking. P Automatic Picking RT Earthquake location RT Magnitude estimation PGX prediction at the target sites An integrated software platform for the real data processing and seismic alert notification. Satriano et al. 2011, PRESTo, the earthquake early warning system for Southern Italy: concepts, capabilities and future perspectives, Soil Dyn Earthq. Eng.,

A Threshold-Based Early Warning Japan Taiwan Central Italy

Initial P-period parameter (τ c ) correlates with final

6 sec M> 6 Alert levels and threshold values for P d and τ

from the station only nearby the station only far away from

8 A Threshold-Based Early Warning Japan Taiwan Central Italy Initial P-peak displacement (Pd) correlates with wholerecord Peak Ground Velocity. Pd>0.2 cm PGV > 16 cm/sec I MM > VII : DAMAGING EQK! Initial P-period parameter (τ c ) correlates with final magnitude. τ c > 0.6 sec M> 6 Alert levels and threshold values for P d and τ c Alert levels Damages Damages Damages No nearby & far away from the station only nearby the station only far away from the station damages Zollo et al., 2010, A Threshold-Based Earthquake Early Warning Using Dense Accelerometer Networks, Geophys. J. Int.

New Developments: Threshold-based EW The local measurement of P d

define the potential damaged/not damaged areas send an alert to

and the local measurement of ground motion Th t t f th t ti l d

mapped from the geographical distribution of recorded alert

9 New Developments: Threshold-based EW The local measurement of P d and τ c can be used to: define the alert level for that site define the potential damaged/not damaged areas send an alert to distant sites make a decision based on the regional information and the local measurement of ground motion Th t t f th t ti l d (PDZ) i d f th The extent of the potential damage zone (PDZ) is mapped from the geographical distribution of recorded alert levels and updated averages of τ c as new measurements are available at the network.

intensity it is expected to be greater the VII PDZ Pd measured Pd predicted INTERPOLATION Potential Damage Zone (PDZ)

10 Pd prediction P-picking Location PGV Pd, Tauc Alert levels The continuous, real-time updating of eqk location, Pd and τ c, allows to determine the extent of the Potential Damage Zone, defined as the area within which the Instrumental intensity it is expected to be greater the VII PDZ Pd measured Pd predicted INTERPOLATION Potential Damage Zone (PDZ) Colombelli et al., 2011, Test of a threshold-based Earthquake Early Warning method using Japanese data, Bull.Seism.Soc.Am.

11 Test of the threshold method on Japanese eqks Colombelli et al., 2011, Test of a threshold-based Earthquake Early Warning method using Japanese data, Bull.Seism.Soc.Am.

12 Colombelli et al., 2011, Test of a threshold-based Earthquake Early Warning method using Japanese data, Bull.Seism.Soc.Am.

Table 2 Definition of successful, missed and false alarms

and I MM VII - M 6 and I MM < VII 2 M < 6 and I MM VII - M < 6 and

< VII M < 6 and I MM - VII Colombelli et al.

13 Table 2 Definition of successful, missed and false alarms Successful alarm Missed alarm False alarm arms Recorded al 3 M 6 and I MM VII - M 6 and I MM < VII 2 M < 6 and I MM VII - M < 6 and I MM < VII 1 M 6 and I MM < VII M 6 and I MM - VII 0 M < 6 and I MM < VII M < 6 and I MM - VII Colombelli et al., 2011, Test of a threshold-based Earthquake Early Warning method using Japanese data, Bull.Seism.Soc.Am.

14 Technologies for a Mobile Early Warning Network (EW MobNet) C. Satriano, L. Elia; C. Martino; M. Lancieri, A. Zollo, G. Iannaccone Network configuration and components System requirements (power consumption, energy supply, communication links, housing, ) Data transmission systems Sensors AMRA, Task AT3.1 Riunione di Coordinamento

15 Mobile Early Warning Network for M>5 earthquakes (fore- and after-shocks)

16 EW MobNet in the source area Early Warning Seismic Stations Target Epicenter Hypocenter Several Stations are in Free Field Low Power Consumption Proprietary Communication Links (WiFi) and/or via UMTS/GPRS modems where possible (redundancy) Housing: Buried underground

17 EW MobNet & Target in the Source area Early Warning Seismic Stations EW MobNet in the Target zone Early Warning Seismic Stations Target Hipocenter Epicenter Epicenter Target Hypocenter Hypocenter Several Stations are in Buildings. Consumption must not be rilevant. Backup p Battery (at least 2 days). Communication Links via ADSL (commercial links) and/or via UMTS/GPRS modems (redundancy) Housing: ground floor Alert device on board. Bidirectional Communication

18 Communications Early Warning Systems require: Reliability Reliability: ability of the system to perform and maintain i its functions in routine circumstances, as well as hostile or unexpected circumstances Promptness Robustness Links have to be: Fast: Time delay << 1s Robust Redundant: Provide more routes to send data to the destination Satellite: Slow, expensive and not userfriendly to implement (Time delay 2s) ADSL: where possible GPRS/UMTS: Fast and simple to implement WiFi: Proprietary (simple management), very fast, optical visibility required. Radio Link: Not indicated for streaming, band limitation

N of Station: 10 / 15 Interstation Distances: from 1 to 15km Preferred

19 EW MobNet for Aftershocks : TOPOLOGY 50km Magnitude: 5-6 Early Warning Seismic Stations Fault length: 5-15 km Network areal coverage: 50x50km 2 N of Station: 10 / 15 Interstation Distances: from 1 to 15km Preferred DTS: Proprietary Communication Links (WiFi) and/or via UMTS/GPRS Main Shock 50km

20 A Typical node of a Early Warning Mobnet: Regional and On-Site configuration Bidirectional Communication to send and receive alert Several output lines (id (video, sound, analog or digital) i to send alert locally Low consumption Medium Size Possibility to have different power supplies (commercial line, battery, solar ) Redundant Communication Links Triaxial Accelerometer Sensor with Moderate Dynamic Range GPS synchronization Analog to Digital Converter with DSP (16 or 24 bit) with Moderate Dynamic Range Embedded processor able to analyze data streams in Real Time. Internet ADSL WIFI UMTS/GPRS Intelligent Data Logger Batt GPS Sensor AN EARLY WARNING NODE is UNDER DEVELOPMENT at RISSC-LAB

21 Sensors Strong Motion Sensor = Accelerometers with high full scale (typ. ±2g) to avoid clipping signals Three Axial (for Regional System Integration) Low cost Low consumption Small size M.E.M.S. M Micro-Electro-Mechanical Mechanical Systems Moderate Dynamic Range (M>5) Easy to install Possibility to install far from the logger.

22 Conclusions & Perspectives The EW MobNet will integrate t the regional and on-site approaches based on the real-time measurement of peak displacement and predominant period on early P-wave signals The threshold-based method by-pass the magnitude estimation for ground motion prediction and provides a rapid estimation of the Potential Damage Zone. It can be easily integrated with a more standard regional method (e.g. PRESTo) The most critical issue for an EW MobNet is the choice of the data transmission system: proprietary WI-FI and/or GPRS/UMTS are our preferred solution. Installation times are to be evaluated. RISSCLab is developing a prototype node for an EW MobNet based on MEMS sensor technology

Documenti analoghi

Outcomes from application of Regional and Onsite Early Warning systems to the 2016, August 24, Central Italy earthquake

Outcomes from application of Regional and Onsite Early Warning systems to the 2016, August 24, Central Italy earthquake A. Zollo, A. Caruso, M. Cattaneo, S. Colombelli, L. Elia, G. Festa, C. Martino, S.