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The Self-Organising Seismic Early Warning Network (SOSEWN) J. Zschau, C. Milkereit, M. Picozzi, K. Fleming, I. Veit, K.-H. Jäckel, J. Nachtigall, H. Woith,

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Presentation on theme: "The Self-Organising Seismic Early Warning Network (SOSEWN) J. Zschau, C. Milkereit, M. Picozzi, K. Fleming, I. Veit, K.-H. Jäckel, J. Nachtigall, H. Woith,"— Presentation transcript:

1 The Self-Organising Seismic Early Warning Network (SOSEWN) J. Zschau, C. Milkereit, M. Picozzi, K. Fleming, I. Veit, K.-H. Jäckel, J. Nachtigall, H. Woith, M. Hönig M. Erdik, C. Zulfikar, O. Ozel J. Fischer, J.P. Redlich, B. Lichtblau, F. Kühnlenz, I. Eveslage, S. Heglmeier SAFER Final Meeting, Potsdam, June 2009

2 Seismic Early Warning – Standard Approach WLAN Classical Seismological Station DSL Istanbul Central Side: A normal Node Visualisation Backup, Monitoring SAFER Potsdam, June 2009

3 WLAN Classical Seismological Station Central Side: A normal Node Visualisation Backup, Monitoring DSL City The SOSEWIN Vision The development of a new seismic network for earthquake early warning (EEW), made up of low-cost sensors that will eventually be purchasable by a range of end users, giving very dense urban networks The Seismological SOSEWIN will complement existing EEW networks. Gateways (Internet) Public Node Low Cost Node SAFER Potsdam, June 2009

4 The much denser seismic network means the output from the expanded ShakeMap will rely more on real data, and less on interpolation schemes Provide data for high- resolution shake maps, allowing neighbourhood-scale rapid damage assessment The SOSEWIN Vision SAFER Potsdam, June 2009

5 Communication layer LNs will communicate in a 4-5 k-hop Comm. Target (Gateway) Low wireless metric par. High wireless metric par. Seismic source Application layers 50 – 100 m 500 m Leader Node (LN) Sensing Node (SN) Ground floor... self-organizing ad-hoc wireless mesh network SOSEWIN Architecture The mesh sensor net is reliable and also operates if single sensors are destroyed, allowing the system to still detect the earthquake Routing by the Optimised Link State Protocol SAFER Potsdam, June 2009

6 Sensing units (Internal view) Accelerometers (measurement range +/- 1.7 g, noise level 0.5 mg) GPS engine Connections for WLAN antennas 4 AD converter WRAP board underneath ( bits) Prices: PC~100 Sensor ~100 Casing ~100 GPS ~50 AD-Converter~100 Battery, cable~100 an enbedded PC with a 266 MHz CPU Power consumption less than 5 W, in total SAFER Potsdam, June 2009

7 CH1: Dynamic range dB CH2: Dynamic range dB CH3: Dynamic range dB CH4: Dynamic range dB Effective Bits Effective Bits Effective Bits Effective Bits Analogue/digital converter (ADC) characteristics SAFER Potsdam, June 2009

8 180° Counts-to-(m/s 2 ): CH1 CH2 CH3 CH1 Sensitivity of accelerometer ADXL203 by tilt test ADXL203 – sensitivity 1mg SAFER Potsdam, June 2009

9 Microphone Temperature Voltage In order to add additional functionality to SOSEWIN, sensors for the monitoring of different environmental parameters are tested in the SNs 4 th channel Testing SOSEWIN SAFER Potsdam, June 2009

10 Shaking table test, Istanbul, Turkey 17/06/2008 Z N E Langebrüke, Potsdam, Germany 06/06/2008 EPISENSOR SOSEWIN Test and calibration SAFER Potsdam, June 2009

11 AKUKO - IERREWS VERTICAL ARRAY - GFZ-Kandilli Obs. 2D Seismic Noise Array - GFZ Testing SOSEWIN: Ataköy district, Istanbul SAFER Potsdam, June 2009

12 18 Sensing Nodes 2 Gateways + Sensing Nodes Testing SOSEWIN: Ataköy district, Istanbul SAFER Potsdam, June 2009

13 Istanbul Installation – Link qualities Istanbul Installation – Routing paths SAFER Potsdam, June 2009

14 since July 2008 a Seiscomp Server at GFZ collects data SN in Atakőy SN at GFZ SN in Atakőy Data are retrieved in real time from the different SN clusters Observed Delay is less than 2s SAFER Potsdam, June 2009

15 20 km – Ml 3 35 km – Ml km – Ml km – Ml km – Ml km – Ml km – Ml 2.5 Magnitude-Distance limits for detection of events by SOSEWIN (based on instrumental sensitivity) from Georgia Cua, 2004 SAFER Potsdam, June 2009

16 EVENT_2008_07_10_7e50 UTC About 140 km from Istanbul B26 – sensor on top of the building Installation of more nodes for building are planned aiming to perform monitoring of infrastructers SAFER Potsdam, June 2009

17 EVENT_2008_10_05_6e04 UTC About 40 km from Istanbul SAFER Potsdam, June 2009

18 Analysis Communication Storage of data Data processing for Early Warning …[a Z,a N,a E ], [a Z,a N,a E ], [a Z,a N,a E ],… [,a N,a E ], [v Z,v N,v E ], [d Z,d N,d E ] 4 th order Butterwort Filter [0.075 Hz- 25 Hz] ring buffer Integration to velocity & displacement senseP aZaZ aNaN aEaE senseS [a max, v max, d max, CAV, P, Ariass Intensity] [a max, v max, d max, CAV, Ariass Intensity] endofEvent Energy rate Final Report Disaster Management Disaster Management (Data are in a format appropriate for USGS tool ShakeMap) Event Detection and Early Warning Messages Event Characterization and Real-Time Rapid Response Messages SAFER Potsdam, June 2009

19 Experiences from the testbed in Istanbul Problems with the WLAN drivers, Istanbul testbed had to be throttled to 1MBit/s WLAN connections – Good: There is still enough bandwidth for streaming all data out of the network with seedlink Problems with the CompactFlash cards – a new version runs with industrial grade CF cards – Software optimized for CF cards Main positive results are: The performance and the long-term stability of the sensor nodes as strong motion sensors, which have proven to be running stable for several months The performance of the installed network and its self-organization capability Possibility for tests with synthetic data at the nodes Remote administration (Solved) Problems: SAFER Potsdam, June 2009

20 Navellis municipality center Soon after the Mw 6.3 Central Italy Earthquake of 6 April 2009, the German Earthquake Task Force supported Italian teams there SAFER Potsdam, June 2009 SOSEWIN TASK-FORCE mission

21 Mw 5.4 aftershock of 9 April 2009 (00:53 UTC) By SOSEWIN nodes the infrastructure can be monitored and waveform data received after the occurrence of aftershocks without site visit SOSEWIN TASK-FORCE mission SAFER Potsdam, June 2009

22 SOSEWIN TASK-FORCE mission By interferometric analysis, rapid estimates of velocity of shear waves and their attenuation, which are the parameters from whom the response of the building to the shacking is largely determined, can be obtained. SAFER Potsdam, June 2009

23 SOSEWIN TASK-FORCE mission Continuous spectral analysis of the shacking allows the main modal properties of the building to be regularly re-evaluated with great detail, and thus, to monitor the building damage during and soon after the occurrence of aftershocks. SAFER Potsdam, June 2009

24 THANK YOU


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