Site class mapping based on earthquake ground motion data recorded by regional seismographic network

Saman Yaghmaei-Sabegh; Hing Ho Tsang

doi:10.1007/s11069-014-1177-5

Site class mapping based on earthquake ground motion data recorded by regional seismographic network

Saman Yaghmaei-Sabegh (Lead / Corresponding author)
, Hing Ho Tsang

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

This paper presents a methodology for site class mapping in regions without adequate geotechnical, geologic and geomorphologic data, which is prevailing in many less developed regions globally. The proposed methodology is based primarily on analysis of earthquake ground motion data recorded by regional seismographic network. Three analysis methods independently developed have been adopted with appropriate weightings, from which a continuous value of site class index ranging from 1 to 4 could be assigned to each station. Finally, a regional site class map could be developed by applying an interpolation procedure across all stations of the seismographic network of which the site classes were estimated.

Original language	English
Pages (from-to)	2067-2087
Number of pages	21
Journal	Natural Hazards
Volume	73
Issue number	3
Early online date	18 Apr 2014
DOIs	https://doi.org/10.1007/s11069-014-1177-5
Publication status	Published - Sept 2014

Keywords

Earthquake ground motion
GRNN
HVSR
Neural network
Seismographic network
Site class mapping

ASJC Scopus subject areas

Water Science and Technology
Atmospheric Science
Earth and Planetary Sciences (miscellaneous)

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10.1007/s11069-014-1177-5

Cite this

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title = "Site class mapping based on earthquake ground motion data recorded by regional seismographic network",

abstract = "This paper presents a methodology for site class mapping in regions without adequate geotechnical, geologic and geomorphologic data, which is prevailing in many less developed regions globally. The proposed methodology is based primarily on analysis of earthquake ground motion data recorded by regional seismographic network. Three analysis methods independently developed have been adopted with appropriate weightings, from which a continuous value of site class index ranging from 1 to 4 could be assigned to each station. Finally, a regional site class map could be developed by applying an interpolation procedure across all stations of the seismographic network of which the site classes were estimated.",

keywords = "Earthquake ground motion, GRNN, HVSR, Neural network, Seismographic network, Site class mapping",

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AU - Yaghmaei-Sabegh, Saman

AU - Tsang, Hing Ho

PY - 2014/9

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N2 - This paper presents a methodology for site class mapping in regions without adequate geotechnical, geologic and geomorphologic data, which is prevailing in many less developed regions globally. The proposed methodology is based primarily on analysis of earthquake ground motion data recorded by regional seismographic network. Three analysis methods independently developed have been adopted with appropriate weightings, from which a continuous value of site class index ranging from 1 to 4 could be assigned to each station. Finally, a regional site class map could be developed by applying an interpolation procedure across all stations of the seismographic network of which the site classes were estimated.

AB - This paper presents a methodology for site class mapping in regions without adequate geotechnical, geologic and geomorphologic data, which is prevailing in many less developed regions globally. The proposed methodology is based primarily on analysis of earthquake ground motion data recorded by regional seismographic network. Three analysis methods independently developed have been adopted with appropriate weightings, from which a continuous value of site class index ranging from 1 to 4 could be assigned to each station. Finally, a regional site class map could be developed by applying an interpolation procedure across all stations of the seismographic network of which the site classes were estimated.

KW - Earthquake ground motion

KW - GRNN

KW - HVSR

KW - Neural network

KW - Seismographic network

KW - Site class mapping

UR - https://www.scopus.com/pages/publications/84905713742

U2 - 10.1007/s11069-014-1177-5

DO - 10.1007/s11069-014-1177-5

M3 - Article

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SN - 0921-030X

VL - 73

SP - 2067

EP - 2087

JO - Natural Hazards

JF - Natural Hazards

IS - 3

ER -

Site class mapping based on earthquake ground motion data recorded by regional seismographic network

Abstract

Keywords

ASJC Scopus subject areas

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