An Optimization of Using the M8 Algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau
Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermedi...
Ausführliche Beschreibung
Autor*in: |
Ramezani, Ali [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Anmerkung: |
© Springer Nature Switzerland AG 2018 |
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Übergeordnetes Werk: |
Enthalten in: Pure and applied geophysics - Springer International Publishing, 1964, 176(2018), 1 vom: 13. Aug., Seite 119-131 |
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Übergeordnetes Werk: |
volume:176 ; year:2018 ; number:1 ; day:13 ; month:08 ; pages:119-131 |
Links: |
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DOI / URN: |
10.1007/s00024-018-1973-z |
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Katalog-ID: |
OLC2069510956 |
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520 | |a Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. | ||
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10.1007/s00024-018-1973-z doi (DE-627)OLC2069510956 (DE-He213)s00024-018-1973-z-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Ramezani, Ali verfasserin aut An Optimization of Using the M8 Algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Nature Switzerland AG 2018 Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. Earthquake prediction M8 algorithm Iranian plateau optimization PSO Ali Abbaspour, Rahim aut Mojarab, Masoud aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 176(2018), 1 vom: 13. Aug., Seite 119-131 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:176 year:2018 number:1 day:13 month:08 pages:119-131 https://doi.org/10.1007/s00024-018-1973-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 AR 176 2018 1 13 08 119-131 |
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10.1007/s00024-018-1973-z doi (DE-627)OLC2069510956 (DE-He213)s00024-018-1973-z-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Ramezani, Ali verfasserin aut An Optimization of Using the M8 Algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Nature Switzerland AG 2018 Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. Earthquake prediction M8 algorithm Iranian plateau optimization PSO Ali Abbaspour, Rahim aut Mojarab, Masoud aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 176(2018), 1 vom: 13. Aug., Seite 119-131 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:176 year:2018 number:1 day:13 month:08 pages:119-131 https://doi.org/10.1007/s00024-018-1973-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 AR 176 2018 1 13 08 119-131 |
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10.1007/s00024-018-1973-z doi (DE-627)OLC2069510956 (DE-He213)s00024-018-1973-z-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Ramezani, Ali verfasserin aut An Optimization of Using the M8 Algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Nature Switzerland AG 2018 Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. Earthquake prediction M8 algorithm Iranian plateau optimization PSO Ali Abbaspour, Rahim aut Mojarab, Masoud aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 176(2018), 1 vom: 13. Aug., Seite 119-131 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:176 year:2018 number:1 day:13 month:08 pages:119-131 https://doi.org/10.1007/s00024-018-1973-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 AR 176 2018 1 13 08 119-131 |
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10.1007/s00024-018-1973-z doi (DE-627)OLC2069510956 (DE-He213)s00024-018-1973-z-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Ramezani, Ali verfasserin aut An Optimization of Using the M8 Algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Nature Switzerland AG 2018 Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. Earthquake prediction M8 algorithm Iranian plateau optimization PSO Ali Abbaspour, Rahim aut Mojarab, Masoud aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 176(2018), 1 vom: 13. Aug., Seite 119-131 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:176 year:2018 number:1 day:13 month:08 pages:119-131 https://doi.org/10.1007/s00024-018-1973-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 AR 176 2018 1 13 08 119-131 |
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10.1007/s00024-018-1973-z doi (DE-627)OLC2069510956 (DE-He213)s00024-018-1973-z-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Ramezani, Ali verfasserin aut An Optimization of Using the M8 Algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Nature Switzerland AG 2018 Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. Earthquake prediction M8 algorithm Iranian plateau optimization PSO Ali Abbaspour, Rahim aut Mojarab, Masoud aut Enthalten in Pure and applied geophysics Springer International Publishing, 1964 176(2018), 1 vom: 13. Aug., Seite 119-131 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:176 year:2018 number:1 day:13 month:08 pages:119-131 https://doi.org/10.1007/s00024-018-1973-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 GBV_ILN_267 GBV_ILN_601 AR 176 2018 1 13 08 119-131 |
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Ramezani, Ali |
doi_str_mv |
10.1007/s00024-018-1973-z |
dewey-full |
550 |
title_sort |
an optimization of using the m8 algorithm for prediction of major m7.0+ earthquakes in the iranian plateau |
title_auth |
An Optimization of Using the M8 Algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau |
abstract |
Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. © Springer Nature Switzerland AG 2018 |
abstractGer |
Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. © Springer Nature Switzerland AG 2018 |
abstract_unstemmed |
Abstract The casualties and financial losses caused by large earthquakes have led to an awareness of prediction importance of such earthquakes. The earthquake prediction is divided into four categories: long term, intermediate term, short term, and immediate. The M8 algorithm is one of the intermediate-term middle-range prediction algorithms primarily used to predict earthquake of magnitude 8 or more and is applied later for smaller magnitudes. The Iranian Plateau is less exposed to earthquake with magnitude 8 or more and it is observed that the seismicity rate in this region is generally low. Thus; the original M8 is not suitable for applying in this region. The objective of this study is to modify the M8 algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau. The major earthquake of magnitude 7 or more in the Iranian plateau from 1975 to 2018 is considered as the target earthquakes. The hit rate times 1 minus alarm rate is defined as objective function and the particles swarm optimization meta-heuristic algorithm is used to maximize it. The optimum M8 could predict 14 out of 17 large earthquakes in the Iranian plateau while occupying 31.7% of the spatio-temporal space as the alarm. The results show that by employing an optimization algorithm, we can modify the M8 algorithm for efficient prediction of the target magnitudes less than 8 in the regions with low seismicity rate. © Springer Nature Switzerland AG 2018 |
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container_issue |
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title_short |
An Optimization of Using the M8 Algorithm for Prediction of Major M7.0+ Earthquakes in the Iranian Plateau |
url |
https://doi.org/10.1007/s00024-018-1973-z |
remote_bool |
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author2 |
Ali Abbaspour, Rahim Mojarab, Masoud |
author2Str |
Ali Abbaspour, Rahim Mojarab, Masoud |
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doi_str |
10.1007/s00024-018-1973-z |
up_date |
2024-07-03T22:28:34.131Z |
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