Application of sequential Gaussian simulation to quantify the surface wave magnitude uncertainty within the faulted regions: Case study: Talgah Bridge, SW of Iran

Amir Barzegari, Nasser Madani Esfahani, Omid Asghari

Research output: Contribution to journalArticle

Abstract

Geostatistical simulations have been recently widely used in the geological and mining investigations. Variogram, the fundamental tools of geostatistics, can identify the spatial distribution of the regionalized variable within the area. One of the important issues of geostatistical simulation in seismotectonics is producing uncertainty maps, which could be applicable to predict earthquake parameters through the site locations especially for civil structures like bridges. It can help engineers to design the structure of interest better. Earthquake parameters as for example seismic fault and surface wave magnitude (Ms) have significant impact on the feasibility study of the civil structures. In this research, a method is presented to produce uncertainty maps for seismic fault and surface wave magnitude, Ms. For this aim, information related to surface wave magnitude and fault trace in Zagros region (SW of Iran) has been collected. Then, the relationships between them through the site location have been investigated and analyzed by conditional geostatistical simulation. In order to quantify the uncertainty of each parameter, the uncertainty formula after generating the E-type maps has been provided and discussed. Finally, in "Talgah Bridge" site, these uncertainty maps were produced to interpret the impact of the surface wave magnitude and fault trace in this specific civil structure.

Original languageEnglish
Pages (from-to)2991-3010
Number of pages20
JournalArabian Journal of Geosciences
Volume7
Issue number8
DOIs
Publication statusPublished - Jan 1 2014
Externally publishedYes

Fingerprint

surface wave
simulation
earthquake
seismotectonics
geostatistics
variogram
feasibility study
spatial distribution
parameter

Keywords

  • Direct rupture
  • Fault
  • Fault trace
  • Geostatistical simulation
  • Surface wave magnitude
  • Talgah Bridge
  • Uncertainty map

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

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title = "Application of sequential Gaussian simulation to quantify the surface wave magnitude uncertainty within the faulted regions: Case study: Talgah Bridge, SW of Iran",
abstract = "Geostatistical simulations have been recently widely used in the geological and mining investigations. Variogram, the fundamental tools of geostatistics, can identify the spatial distribution of the regionalized variable within the area. One of the important issues of geostatistical simulation in seismotectonics is producing uncertainty maps, which could be applicable to predict earthquake parameters through the site locations especially for civil structures like bridges. It can help engineers to design the structure of interest better. Earthquake parameters as for example seismic fault and surface wave magnitude (Ms) have significant impact on the feasibility study of the civil structures. In this research, a method is presented to produce uncertainty maps for seismic fault and surface wave magnitude, Ms. For this aim, information related to surface wave magnitude and fault trace in Zagros region (SW of Iran) has been collected. Then, the relationships between them through the site location have been investigated and analyzed by conditional geostatistical simulation. In order to quantify the uncertainty of each parameter, the uncertainty formula after generating the E-type maps has been provided and discussed. Finally, in {"}Talgah Bridge{"} site, these uncertainty maps were produced to interpret the impact of the surface wave magnitude and fault trace in this specific civil structure.",
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AU - Asghari, Omid

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