The SISMA prototype system: integrating Geophysical Modeling and Earth Observation for time-dependent seismic hazard assessment

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• 作者：G. F. Panza ; A. Peresan ; A. Magrin ; F. Vaccari ; R. Sabadini ; B. Crippa…
• 关键词：Seismic hazard ; Earth Observation ; GPS ; DInSAR ; Earthquake prediction ; Ground shaking scenarios ; Seismic input
• 刊名：Natural Hazards
• 出版年：2013
• 出版时间：November 2013
• 年：2013
• 卷：69
• 期：2
• 页码：1179-1198
• 全文大小：999KB
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• 作者单位：G. F. Panza (1) (2)
  A. Peresan (1) (2)
  A. Magrin (1)
  F. Vaccari (1) (2)
  R. Sabadini (3)
  B. Crippa (3)
  A. M. Marotta (3)
  R. Splendore (3)
  R. Barzaghi (4)
  A. Borghi (4) (7)
  L. Cannizzaro (4)
  A. Amodio (5)
  S. Zoffoli (6)
  
  1. Department of Geosciences, University of Trieste, Via Weiss 4, 34127, Trieste, Italy
  2. The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
  3. Department of Earth Sciences, University of Milan, Milan, Italy
  4. DIIAR, Politecnico di Milano, Milan, Italy
  7. OGS, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Trieste, Italy
  5. Galileian Plus, Pavia, Italy
  6. ASI, Italian Space Agency, Rome, Italy
  
• ISSN：1573-0840

文摘

An innovative approach to seismic hazard assessment is illustrated that, based on the available knowledge of the physical properties of the Earth structure and of seismic sources, on geodetic observations, as well as on the geophysical forward modeling, allows for a time-dependent definition of the seismic input. According to the proposed approach, a fully formalized system integrating Earth Observation data and new advanced methods in seismological and geophysical data analysis is currently under development in the framework of the Pilot Project SISMA, funded by the Italian Space Agency. The synergic use of geodetic Earth Observation data (EO) and Geophysical Forward Modeling deformation maps at the national scale complements the space- and time-dependent information provided by real-time monitoring of seismic flow (performed by means of the earthquake prediction algorithms CN and M8S) and permits the identification and routine updating of alerted areas. At the local spatial scale (tens of km) of the seismogenic nodes identified by pattern-recognition analysis, both GNSS (Global Navigation Satellite System) and SAR (Synthetic Aperture Radar) techniques, coupled with expressly developed models for interseismic phase, allow us to retrieve the deformation style and stress evolution within the seismogenic areas. The displacement fields obtained from EO data provide the input for the geophysical modeling, which eventually permits to indicate whether a specific fault is in a “critical state.-The scenarios of expected ground motion (shakemaps) associated with the alerted areas are then defined by means of full waveforms modeling, based on the possibility to compute synthetic seismograms by the modal summation technique (neo-deterministic hazard assessment). In this way, a set of deterministic scenarios of ground motion, which refer to the time interval when a strong event is likely to occur within the alerted area, can be defined both at national and at local scale. The considered integrated approach opens new routes in understanding the dynamics of fault zones as well as in modeling the expected ground motion. The SISMA system, in fact, provides tools for establishing warning criteria based on deterministic and rigorous forward geophysical models and hence allows for a well-controlled real-time prospective testing and validation of the proposed methodology over the Italian territory. The proposed approach complements the traditional probabilistic approach for seismic hazard estimates, since it supplies routinely updated information useful in assigning priorities for timely mitigation actions and hence it is particularly relevant to Civil Defense purposes.