Effective Active and Passive Seismics for the Characterization of Urban and Remote Areas: Four Channels for Seven Objective Functions

0517307 - ÚSMH 2020 RIV CH eng J - Článek v odborném periodiku
Dal Moro, Giancarlo
Effective Active and Passive Seismics for the Characterization of Urban and Remote Areas: Four Channels for Seven Objective Functions.
Pure and Applied Geophysics. Roč. 176, č. 4 (2019), s. 1445-1465. ISSN 0033-4553. E-ISSN 1420-9136
Institucionální podpora: RVO:67985891
Klíčová slova: Surface wave dispersion * Rayleigh waves * Love waves * joint inversion of seismic data * holistic analysis of surface waves (HS) * miniature array analysis of microtremors (MAAM) * Rayleigh-wave particle motion (RPM)
Obor OECD: Volcanology
Impakt faktor: 1.586, rok: 2019
Způsob publikování: Open access
https://link.springer.com/article/10.1007%2Fs00024-018-2043-2

An efficient system for the joint acquisition and analysis of multi-component active and passive seismic data is presented. It is shown how, in spite of the limited field equipment (the system requires just a 4-channel seismograph, one 3-component and four vertical-component geophones), it is nevertheless possible to define up to seven different (but mutually related and complementary) objects used to constrain a multi-objective joint inversion capable of providing a robust subsurface shear-wave velocity (V-S) profile for both geotechnical and seismic-hazard studies. The presented approach relies on acquisition techniques that require simple and straightforward field procedures useful in particular, but not solely, in the characterization of urban and remote areas where, due to logistical problems, standard acquisition procedures cannot be easily applied. Active data recorded by a single 3-component geophone are processed so to define up to five objective functions: the group-velocity spectra of the three components, the radial-to-vertical spectral ratio and the Rayleigh-wave particle motion frequency curve. Passive data are used to compute two further objects: the horizontal-to-vertical spectral ratio and the phase-velocity dispersion curve obtained via miniature array analysis of microtremors. These seven objects are jointly inverted by means of a multi-objective inversion procedure based on the Pareto criterion. Performances are assessed through a comprehensive field dataset acquired in an urban area of NW-Italy. The consistency of the overall procedure is assessed by comparing the results with the analyses accomplished by considering classical multi-channel active and passive data and methodologies (multi-component MASW, multichannel analysis of surface waves and ESAC, extended spatial auto-correlation).
Trvalý link: http://hdl.handle.net/11104/0302627