1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. Near Surface Geoscience 2015 - 21st European Meeting of Environmental and Engineering Geophysics
  5. Conference paper

Abstract

Summary

In recent times the use of microtremor techniques for subsoil investigation increased significantly. The use of HVSR (Horizontal to Vertical Spectral Ratio)technique for seismic microzoning studies allows in many case to obtain detailed reconstruction of the roof of the seismic bedrock and to identify areas with similar seismic behaviour.

Two different algorithms of clusteringhave been tested on a HVSR datasets acquired for studies of seismic microzoning in various Sicilian urban centers.

HVSR data were previously properly processed to extract frequency and amplitude of peaks by a code based on clustering of HVSR curves determined in sliding time windows. To select an optimal set of time windows we have implemented a cluster procedure based on Agglomerative Hierarchical Clustering algorithms.After defining the average HVSR curves a second multi-parametric clustering procedure has been used to group peaks tobe attributed to the same origin (stratigraphic, tectonic, topographic, anthropogenic or other sources). A nonhierarchical centroid-based algorithm has been implemented. The comparison of the HVSR pattern with the information about outcropping formations allowed to assess the geological hypotheses on the heavily urbanized investigated areas.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201413734
2015-09-06
2024-04-19

  • From This Site

    /content/papers/10.3997/2214-4609.201413734
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Adelfio, G., Chiodi, M., D’Alessandro, A., Luzio, D., D’Anna and G., Mangano, G.
    , [2012] Simultaneous seismic wave clustering and registration, Computer and Geoscience, 44, 60–69, doi: 10.1016/j.cageo.2012.02.017.
     https://doi.org/10.1016/j.cageo.2012.02.017 [Google Scholar]
  2. Barbarito, L.
    [1999]. L’analisi di settore: metodologia e applicazioni, Milano, Franco Angeli.
     [Google Scholar]
  3. Bonnefoy-ClaudetS., CottonF. and Bard, P.-Y.
    [2006]. The nature of noise wavefield and its applications for site effects studies. A literature review. Earth-Science Reviews, 79, 3–4, 205–227. doi: 10.1016/j.earscirev.2006.07.004.
     https://doi.org/10.1016/j.earscirev.2006.07.004 [Google Scholar]
  4. CapizziP., MartoranaR., StassiG., D’alessandroA., LuzioD.
    [2014]. Centroid-based cluster analysis of HVSR data for seismic microzonation. Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, Athens, 14–18 September 2014, We Verg 02, doi: 10.3997/2214‑4609.20142095.
     https://doi.org/10.3997/2214-4609.20142095 [Google Scholar]
  5. Di Stefano, P., Luzio, D., Renda, P., Martorana, R., Capizzi, P., D’Alessandro, A., Messina, N., Napoli, G., Todaro, S., and Zarcone, G.
    [2014]. Integration of HVSR measures and stratigraphic constraints for seismic microzonation studies: the case of Oliveri (ME). Natural Hazards and Earth System Sciences Discussion, 2, 2597–2637, doi: 10.5194/nhessd‑2‑2597‑2014.
     https://doi.org/10.5194/nhessd-2-2597-2014 [Google Scholar]
  6. D’Alessandro, A., Luzio, D., Martorana, R. and Capizzi, P.
    [2014] Improvement of the Horizontal to Vertical Noise Spectral Ratio technique by cluster analysis, submitted to Computer and Geosciences.
     [Google Scholar]
  7. D’Alessandro, A., Mangano, G., D’Anna, G. and Luzio, D.
    [2013] Waveforms clustering and single-station location of microearthquake multiplets recorded in the northern Sicilian offshore region, Geophysical Journal International, vol. 194, n. 3, pp. 1789–1809, DOI: 10.1093/gji/ggt192.
     https://doi.org/10.1093/gji/ggt192 [Google Scholar]
  8. EverittB.S., LandauS., LeeseM., StahlD.
    [2011]. Cluster Analysis, Wiley Series in Probability and Statistics, 5th Edition, pp. 332, ISBN-10:0470749911, ISBN-13:978-0470749913.
     [Google Scholar]
  9. Fabbris, L.
    [1983]. Analisi esplorativa di dati multidimensionali, Cleup editore.
     [Google Scholar]
  10. FähD., KindF. and GiardiniD.
    [2003]. Inversion of local S wave velocity structures from average H/V ratios, and their use for the estimation of site-effects. Journal of Seismology7, 449–467. doi: 10.1023/B:JOSE.0000005712.86058.42.
     https://doi.org/10.1023/B:JOSE.0000005712.86058.42 [Google Scholar]
  11. GanG., MaC., WuJ.
    [2007]. Data Clustering: Theory, Algorithms, and Applications, pp. 184, Cambridge University Press, ISBN: 9780898716238.
     [Google Scholar]
  12. Hartigan, J.A.
    [1975]. Clustering algorithms, New York, Wiley.
     [Google Scholar]
  13. LunedeiE. and AlbarelloD.
    [2009]. On the seismic noise wavefield in a weakly dissipative layeredEarth. Geophysical Journal International177, 1001–1014. doi: 10.1111/j.l365‑246X.2008.04062.x
     https://doi.org/10.1111/j.l365-246X.2008.04062.x [Google Scholar]
  14. MartoranaR., CapizziP., AvelloneG., SiragusaR., D’alessandroA., LuzioD.
    [2014]. Seismic characterization by inversion of HVSR data to improve geological modeling. Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, Athens, 14–18 September 2014, We Verg 01, doi: 10.3997/2214‑4609.20142094.
     https://doi.org/10.3997/2214-4609.20142094 [Google Scholar]
  15. Nakamura, Y.
    [2000]. Clear Identification of Fundamental Idea of Nakamura’s Technique and its Applications, 12th World Conference on Earthquake Engineering, 2656.
     [Google Scholar]
  16. Parolai, S., Bindi, D., and Augliera, P.
    [2000]. Application of the Generalized Inversion Technique (GIT) to a microzonation study: numerical simulations and comparison with different site-estimation techniques, B. Seismol. Soc. Am., 90, 286–297.
     [Google Scholar]
  17. WatheletM., JongmansD. and OhrnbergerM.
    [2004]. Surface-wave inversion using a direct search algorithm and its application to ambient vibration measurements. Near Surface Geophysics, 2, 10 211–221. doi: 10.3997/1873‑0604.2004018.
     https://doi.org/10.3997/1873-0604.2004018 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201413734
Loading
Cluster Analysis to Support Microzonation Studies
Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201413734
/content/papers/10.3997/2214-4609.201413734
/content/papers/10.3997/2214-4609.201413734
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error