New Progress in LURR-Integrating with the Dimensional Method

Xiang chu Yin; Yue Liu; Peter Mora; Shuai Yuan; Lang ping Zhang

doi:10.1007/s00024-012-0453-0

New Progress in LURR-Integrating with the Dimensional Method

Xiang chu Yin^*, Yue Liu, Peter Mora, Shuai Yuan, Lang ping Zhang

^*Corresponding author for this work

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

12 Scopus citations

Abstract

The evolution laws of LURR (Loading-Unloading Response Ratio) before strong earthquakes, especially the peak point of LURR, are described in this paper. The results of four methods (experimental, numerical simulation, seismic data analysis and with damage mechanics analysis) lead to a consistent conclusion-the evolution laws of LURR before strong earthquakes are that, at the early stage of the seismic cycle, LURR will fluctuate around 1 and in the late stage, it rises swiftly and to its peak point. At some time after this peak point, a catastrophic event or events occur. These do not occur at the peak point, but lag behind. The lag time which is denoted by T₂ depends on the magnitude M of the upcoming earthquake among other factors. In order to consider the influence of geophysical parameters in a specific region such as γ̇ E_a and J_(t), where γ̇ is the shear strain rate of tectonic loading in situ, E_a is the sum of radiated energy of all earthquake occurring in a specific region measured during a long time duration (110 years in this paper) divided by the area of the region and the time duration, and J_(t) is a parameter denoting the LURR anomaly area weighted with Y (the value of LURR) and represents the expanse and degree of the seismogenic zone. The dimensional analysis method has been used to reveal the relation between M, T₂ and other parameters in situ for more reliable earthquake prediction.

Original language	English
Pages (from-to)	229-236
Number of pages	8
Journal	Pure and Applied Geophysics
Volume	170
Issue number	1-2
DOIs	https://doi.org/10.1007/s00024-012-0453-0
State	Published - Jan 2013
Externally published	Yes

Bibliographical note

Funding Information:
This research was funded by the National Natural Sciences Foundation of China (Grant No. 19732060 and 40004002) and Informalization Construction Project of Chinese Academy of Sciences during the 11th Five-Year Plan Period (No. INFO-115-B01). The earthquake catalog used in this paper is provided by CENC (China Earthquake Networks Center), Chinese Earthquake Administration. The calculations in the paper was conducted partly in Supercomputing Center of Computer Network information Center, Chinese Academy of Sciences (CAS).

Keywords

Earthquake prediction
LURR
dimensional analysis
peak point of LURR

ASJC Scopus subject areas

Geophysics
Geochemistry and Petrology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s00024-012-0453-0

Cite this

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title = "New Progress in LURR-Integrating with the Dimensional Method",

abstract = "The evolution laws of LURR (Loading-Unloading Response Ratio) before strong earthquakes, especially the peak point of LURR, are described in this paper. The results of four methods (experimental, numerical simulation, seismic data analysis and with damage mechanics analysis) lead to a consistent conclusion-the evolution laws of LURR before strong earthquakes are that, at the early stage of the seismic cycle, LURR will fluctuate around 1 and in the late stage, it rises swiftly and to its peak point. At some time after this peak point, a catastrophic event or events occur. These do not occur at the peak point, but lag behind. The lag time which is denoted by T2 depends on the magnitude M of the upcoming earthquake among other factors. In order to consider the influence of geophysical parameters in a specific region such as {\.γ} Ea and J(t), where {\.γ} is the shear strain rate of tectonic loading in situ, Ea is the sum of radiated energy of all earthquake occurring in a specific region measured during a long time duration (110 years in this paper) divided by the area of the region and the time duration, and J(t) is a parameter denoting the LURR anomaly area weighted with Y (the value of LURR) and represents the expanse and degree of the seismogenic zone. The dimensional analysis method has been used to reveal the relation between M, T2 and other parameters in situ for more reliable earthquake prediction.",

keywords = "Earthquake prediction, LURR, dimensional analysis, peak point of LURR",

author = "Yin, \{Xiang chu\} and Yue Liu and Peter Mora and Shuai Yuan and Zhang, \{Lang ping\}",

note = "Funding Information: This research was funded by the National Natural Sciences Foundation of China (Grant No. 19732060 and 40004002) and Informalization Construction Project of Chinese Academy of Sciences during the 11th Five-Year Plan Period (No. INFO-115-B01). The earthquake catalog used in this paper is provided by CENC (China Earthquake Networks Center), Chinese Earthquake Administration. The calculations in the paper was conducted partly in Supercomputing Center of Computer Network information Center, Chinese Academy of Sciences (CAS).",

year = "2013",

month = jan,

doi = "10.1007/s00024-012-0453-0",

language = "English",

volume = "170",

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journal = "Pure and Applied Geophysics",

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AU - Yin, Xiang chu

AU - Liu, Yue

AU - Mora, Peter

AU - Yuan, Shuai

AU - Zhang, Lang ping

N1 - Funding Information: This research was funded by the National Natural Sciences Foundation of China (Grant No. 19732060 and 40004002) and Informalization Construction Project of Chinese Academy of Sciences during the 11th Five-Year Plan Period (No. INFO-115-B01). The earthquake catalog used in this paper is provided by CENC (China Earthquake Networks Center), Chinese Earthquake Administration. The calculations in the paper was conducted partly in Supercomputing Center of Computer Network information Center, Chinese Academy of Sciences (CAS).

PY - 2013/1

Y1 - 2013/1

N2 - The evolution laws of LURR (Loading-Unloading Response Ratio) before strong earthquakes, especially the peak point of LURR, are described in this paper. The results of four methods (experimental, numerical simulation, seismic data analysis and with damage mechanics analysis) lead to a consistent conclusion-the evolution laws of LURR before strong earthquakes are that, at the early stage of the seismic cycle, LURR will fluctuate around 1 and in the late stage, it rises swiftly and to its peak point. At some time after this peak point, a catastrophic event or events occur. These do not occur at the peak point, but lag behind. The lag time which is denoted by T2 depends on the magnitude M of the upcoming earthquake among other factors. In order to consider the influence of geophysical parameters in a specific region such as γ̇ Ea and J(t), where γ̇ is the shear strain rate of tectonic loading in situ, Ea is the sum of radiated energy of all earthquake occurring in a specific region measured during a long time duration (110 years in this paper) divided by the area of the region and the time duration, and J(t) is a parameter denoting the LURR anomaly area weighted with Y (the value of LURR) and represents the expanse and degree of the seismogenic zone. The dimensional analysis method has been used to reveal the relation between M, T2 and other parameters in situ for more reliable earthquake prediction.

AB - The evolution laws of LURR (Loading-Unloading Response Ratio) before strong earthquakes, especially the peak point of LURR, are described in this paper. The results of four methods (experimental, numerical simulation, seismic data analysis and with damage mechanics analysis) lead to a consistent conclusion-the evolution laws of LURR before strong earthquakes are that, at the early stage of the seismic cycle, LURR will fluctuate around 1 and in the late stage, it rises swiftly and to its peak point. At some time after this peak point, a catastrophic event or events occur. These do not occur at the peak point, but lag behind. The lag time which is denoted by T2 depends on the magnitude M of the upcoming earthquake among other factors. In order to consider the influence of geophysical parameters in a specific region such as γ̇ Ea and J(t), where γ̇ is the shear strain rate of tectonic loading in situ, Ea is the sum of radiated energy of all earthquake occurring in a specific region measured during a long time duration (110 years in this paper) divided by the area of the region and the time duration, and J(t) is a parameter denoting the LURR anomaly area weighted with Y (the value of LURR) and represents the expanse and degree of the seismogenic zone. The dimensional analysis method has been used to reveal the relation between M, T2 and other parameters in situ for more reliable earthquake prediction.

KW - Earthquake prediction

KW - LURR

KW - dimensional analysis

KW - peak point of LURR

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DO - 10.1007/s00024-012-0453-0

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SN - 0033-4553

VL - 170

SP - 229

EP - 236

JO - Pure and Applied Geophysics

JF - Pure and Applied Geophysics

IS - 1-2

ER -

New Progress in LURR-Integrating with the Dimensional Method

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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