Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau
Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated hi...
Ausführliche Beschreibung
Autor*in: |
Mojarab, Masoud [verfasserIn] Memarian, Hossein [verfasserIn] Zare, Mehdi [verfasserIn] Kossobokov, Vladimir [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Journal of seismology - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997, 21(2017), 4 vom: 09. März, Seite 921-940 |
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Übergeordnetes Werk: |
volume:21 ; year:2017 ; number:4 ; day:09 ; month:03 ; pages:921-940 |
Links: |
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DOI / URN: |
10.1007/s10950-017-9644-6 |
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Katalog-ID: |
SPR014925869 |
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520 | |a Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. | ||
650 | 4 | |a M8 algorithm |7 (dpeaa)DE-He213 | |
650 | 4 | |a Seismic pattern recognition |7 (dpeaa)DE-He213 | |
650 | 4 | |a Intermediate-term prediction |7 (dpeaa)DE-He213 | |
650 | 4 | |a Iranian plateau |7 (dpeaa)DE-He213 | |
650 | 4 | |a Major earthquake |7 (dpeaa)DE-He213 | |
700 | 1 | |a Memarian, Hossein |e verfasserin |4 aut | |
700 | 1 | |a Zare, Mehdi |e verfasserin |4 aut | |
700 | 1 | |a Kossobokov, Vladimir |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of seismology |d Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 |g 21(2017), 4 vom: 09. März, Seite 921-940 |w (DE-627)271177985 |w (DE-600)1479210-2 |x 1573-157X |7 nnns |
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10.1007/s10950-017-9644-6 doi (DE-627)SPR014925869 (SPR)s10950-017-9644-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.38 bkl Mojarab, Masoud verfasserin aut Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. M8 algorithm (dpeaa)DE-He213 Seismic pattern recognition (dpeaa)DE-He213 Intermediate-term prediction (dpeaa)DE-He213 Iranian plateau (dpeaa)DE-He213 Major earthquake (dpeaa)DE-He213 Memarian, Hossein verfasserin aut Zare, Mehdi verfasserin aut Kossobokov, Vladimir verfasserin aut Enthalten in Journal of seismology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 21(2017), 4 vom: 09. März, Seite 921-940 (DE-627)271177985 (DE-600)1479210-2 1573-157X nnns volume:21 year:2017 number:4 day:09 month:03 pages:921-940 https://dx.doi.org/10.1007/s10950-017-9644-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.38 ASE AR 21 2017 4 09 03 921-940 |
spelling |
10.1007/s10950-017-9644-6 doi (DE-627)SPR014925869 (SPR)s10950-017-9644-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.38 bkl Mojarab, Masoud verfasserin aut Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. M8 algorithm (dpeaa)DE-He213 Seismic pattern recognition (dpeaa)DE-He213 Intermediate-term prediction (dpeaa)DE-He213 Iranian plateau (dpeaa)DE-He213 Major earthquake (dpeaa)DE-He213 Memarian, Hossein verfasserin aut Zare, Mehdi verfasserin aut Kossobokov, Vladimir verfasserin aut Enthalten in Journal of seismology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 21(2017), 4 vom: 09. März, Seite 921-940 (DE-627)271177985 (DE-600)1479210-2 1573-157X nnns volume:21 year:2017 number:4 day:09 month:03 pages:921-940 https://dx.doi.org/10.1007/s10950-017-9644-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.38 ASE AR 21 2017 4 09 03 921-940 |
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10.1007/s10950-017-9644-6 doi (DE-627)SPR014925869 (SPR)s10950-017-9644-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.38 bkl Mojarab, Masoud verfasserin aut Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. M8 algorithm (dpeaa)DE-He213 Seismic pattern recognition (dpeaa)DE-He213 Intermediate-term prediction (dpeaa)DE-He213 Iranian plateau (dpeaa)DE-He213 Major earthquake (dpeaa)DE-He213 Memarian, Hossein verfasserin aut Zare, Mehdi verfasserin aut Kossobokov, Vladimir verfasserin aut Enthalten in Journal of seismology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 21(2017), 4 vom: 09. März, Seite 921-940 (DE-627)271177985 (DE-600)1479210-2 1573-157X nnns volume:21 year:2017 number:4 day:09 month:03 pages:921-940 https://dx.doi.org/10.1007/s10950-017-9644-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.38 ASE AR 21 2017 4 09 03 921-940 |
allfieldsGer |
10.1007/s10950-017-9644-6 doi (DE-627)SPR014925869 (SPR)s10950-017-9644-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.38 bkl Mojarab, Masoud verfasserin aut Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. M8 algorithm (dpeaa)DE-He213 Seismic pattern recognition (dpeaa)DE-He213 Intermediate-term prediction (dpeaa)DE-He213 Iranian plateau (dpeaa)DE-He213 Major earthquake (dpeaa)DE-He213 Memarian, Hossein verfasserin aut Zare, Mehdi verfasserin aut Kossobokov, Vladimir verfasserin aut Enthalten in Journal of seismology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 21(2017), 4 vom: 09. März, Seite 921-940 (DE-627)271177985 (DE-600)1479210-2 1573-157X nnns volume:21 year:2017 number:4 day:09 month:03 pages:921-940 https://dx.doi.org/10.1007/s10950-017-9644-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.38 ASE AR 21 2017 4 09 03 921-940 |
allfieldsSound |
10.1007/s10950-017-9644-6 doi (DE-627)SPR014925869 (SPR)s10950-017-9644-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.38 bkl Mojarab, Masoud verfasserin aut Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. M8 algorithm (dpeaa)DE-He213 Seismic pattern recognition (dpeaa)DE-He213 Intermediate-term prediction (dpeaa)DE-He213 Iranian plateau (dpeaa)DE-He213 Major earthquake (dpeaa)DE-He213 Memarian, Hossein verfasserin aut Zare, Mehdi verfasserin aut Kossobokov, Vladimir verfasserin aut Enthalten in Journal of seismology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 21(2017), 4 vom: 09. März, Seite 921-940 (DE-627)271177985 (DE-600)1479210-2 1573-157X nnns volume:21 year:2017 number:4 day:09 month:03 pages:921-940 https://dx.doi.org/10.1007/s10950-017-9644-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.38 ASE AR 21 2017 4 09 03 921-940 |
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Mojarab, Masoud @@aut@@ Memarian, Hossein @@aut@@ Zare, Mehdi @@aut@@ Kossobokov, Vladimir @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR014925869</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111013039.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10950-017-9644-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR014925869</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10950-017-9644-6-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.38</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mojarab, Masoud</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">M8 algorithm</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Seismic pattern recognition</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intermediate-term prediction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Iranian plateau</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Major earthquake</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Memarian, Hossein</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zare, Mehdi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kossobokov, Vladimir</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of seismology</subfield><subfield code="d">Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997</subfield><subfield code="g">21(2017), 4 vom: 09. März, Seite 921-940</subfield><subfield code="w">(DE-627)271177985</subfield><subfield code="w">(DE-600)1479210-2</subfield><subfield code="x">1573-157X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:21</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:4</subfield><subfield code="g">day:09</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:921-940</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s10950-017-9644-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" 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Mojarab, Masoud |
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Mojarab, Masoud ddc 550 bkl 38.38 misc M8 algorithm misc Seismic pattern recognition misc Intermediate-term prediction misc Iranian plateau misc Major earthquake Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau |
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550 ASE 38.38 bkl Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau M8 algorithm (dpeaa)DE-He213 Seismic pattern recognition (dpeaa)DE-He213 Intermediate-term prediction (dpeaa)DE-He213 Iranian plateau (dpeaa)DE-He213 Major earthquake (dpeaa)DE-He213 |
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ddc 550 bkl 38.38 misc M8 algorithm misc Seismic pattern recognition misc Intermediate-term prediction misc Iranian plateau misc Major earthquake |
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Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau |
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Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau |
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Mojarab, Masoud Memarian, Hossein Zare, Mehdi Kossobokov, Vladimir |
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adjusting the m8 algorithm to earthquake prediction in the iranian plateau |
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Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau |
abstract |
Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. |
abstractGer |
Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. |
abstract_unstemmed |
Abstract Earthquake prediction is one of the challenging problems of seismology. The present study intended to setup a routine prediction of major earthquakes in the Iranian plateau using a modification of the intermediate-term middle-range algorithm M8, in which original version has demonstrated high performance in a real-time Global Test over the last two decades. An investigation of earthquake catalog covering the entire the Iranian plateau through 2012 has shown that a modification of the M8 algorithm, adjusted for a rather low level of earthquake occurrence reported in the region, is capable for targeting magnitude 7.5+ events. The occurrence of the April 16, 2013, M7.7 Saravan and the September 24, 2013, M7.7 Awaran earthquakes at the time of writing this paper (14 months before Saravan earthquake occurrence) confirmed the results of investigation and demonstrated the need for further studies in this region. Earlier tests, M8 application in all over the Iran, showed that the 2013 Saravan and Awaran earthquakes may precede a great earthquake with magnitude 8+ in Makran region. To verify this statement, the algorithm M8 was applied once again on an updated catalog to September 2013. The result indicated that although the study region recently experienced two magnitude 7.5+ earthquakes, it remains prone to a major earthquake. The present study confirms the applicability of M8 algorithm for predicting earthquakes in the Iranian plateau and establishes an opportunity for a routine monitoring of seismic activity aimed at prediction of the largest earthquakes that can play a significant role in mitigation of damages due to natural hazard. |
collection_details |
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container_issue |
4 |
title_short |
Adjusting the M8 algorithm to earthquake prediction in the Iranian plateau |
url |
https://dx.doi.org/10.1007/s10950-017-9644-6 |
remote_bool |
true |
author2 |
Memarian, Hossein Zare, Mehdi Kossobokov, Vladimir |
author2Str |
Memarian, Hossein Zare, Mehdi Kossobokov, Vladimir |
ppnlink |
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hochschulschrift_bool |
false |
doi_str |
10.1007/s10950-017-9644-6 |
up_date |
2024-07-04T03:29:44.544Z |
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1803617602939912192 |
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score |
7.4013243 |