Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals
Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficu...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kao, Honn [verfasserIn] Kan, Chih-Wen [verfasserIn] Chen, Rong-Yuh [verfasserIn] Chang, Chien-Hsin [verfasserIn] Rosenberger, Andreas [verfasserIn] Shin, Tzay-Chyn [verfasserIn] Leu, Pei-Ling [verfasserIn] Kuo, Kai-Wen [verfasserIn] Liang, Wen-Tzong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Landslides - Berlin : Springer, 2004, 9(2012), 4 vom: 03. März, Seite 557-563 |
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| Übergeordnetes Werk: |
volume:9 ; year:2012 ; number:4 ; day:03 ; month:03 ; pages:557-563 |
| Links: |
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| DOI / URN: |
10.1007/s10346-012-0322-z |
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| Katalog-ID: |
SPR009772618 |
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| 245 | 1 | 0 | |a Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals |
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| 520 | |a Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. | ||
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| 650 | 4 | |a Near-real time |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Source-scanning algorithm |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Typhoon |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Kan, Chih-Wen |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Rong-Yuh |e verfasserin |4 aut | |
| 700 | 1 | |a Chang, Chien-Hsin |e verfasserin |4 aut | |
| 700 | 1 | |a Rosenberger, Andreas |e verfasserin |4 aut | |
| 700 | 1 | |a Shin, Tzay-Chyn |e verfasserin |4 aut | |
| 700 | 1 | |a Leu, Pei-Ling |e verfasserin |4 aut | |
| 700 | 1 | |a Kuo, Kai-Wen |e verfasserin |4 aut | |
| 700 | 1 | |a Liang, Wen-Tzong |e verfasserin |4 aut | |
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10.1007/s10346-012-0322-z doi (DE-627)SPR009772618 (SPR)s10346-012-0322-z-e DE-627 ger DE-627 rakwb eng 550 ASE 550 ASE 38.42 bkl 38.58 bkl 56.20 bkl Kao, Honn verfasserin aut Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. Landslides and mud/debris flows (dpeaa)DE-He213 Near-real time (dpeaa)DE-He213 Source-scanning algorithm (dpeaa)DE-He213 Typhoon (dpeaa)DE-He213 Kan, Chih-Wen verfasserin aut Chen, Rong-Yuh verfasserin aut Chang, Chien-Hsin verfasserin aut Rosenberger, Andreas verfasserin aut Shin, Tzay-Chyn verfasserin aut Leu, Pei-Ling verfasserin aut Kuo, Kai-Wen verfasserin aut Liang, Wen-Tzong verfasserin aut Enthalten in Landslides Berlin : Springer, 2004 9(2012), 4 vom: 03. März, Seite 557-563 (DE-627)384045197 (DE-600)2141883-4 1612-5118 nnns volume:9 year:2012 number:4 day:03 month:03 pages:557-563 https://dx.doi.org/10.1007/s10346-012-0322-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.42 ASE 38.58 ASE 56.20 ASE AR 9 2012 4 03 03 557-563 |
| spelling |
10.1007/s10346-012-0322-z doi (DE-627)SPR009772618 (SPR)s10346-012-0322-z-e DE-627 ger DE-627 rakwb eng 550 ASE 550 ASE 38.42 bkl 38.58 bkl 56.20 bkl Kao, Honn verfasserin aut Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. Landslides and mud/debris flows (dpeaa)DE-He213 Near-real time (dpeaa)DE-He213 Source-scanning algorithm (dpeaa)DE-He213 Typhoon (dpeaa)DE-He213 Kan, Chih-Wen verfasserin aut Chen, Rong-Yuh verfasserin aut Chang, Chien-Hsin verfasserin aut Rosenberger, Andreas verfasserin aut Shin, Tzay-Chyn verfasserin aut Leu, Pei-Ling verfasserin aut Kuo, Kai-Wen verfasserin aut Liang, Wen-Tzong verfasserin aut Enthalten in Landslides Berlin : Springer, 2004 9(2012), 4 vom: 03. März, Seite 557-563 (DE-627)384045197 (DE-600)2141883-4 1612-5118 nnns volume:9 year:2012 number:4 day:03 month:03 pages:557-563 https://dx.doi.org/10.1007/s10346-012-0322-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.42 ASE 38.58 ASE 56.20 ASE AR 9 2012 4 03 03 557-563 |
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10.1007/s10346-012-0322-z doi (DE-627)SPR009772618 (SPR)s10346-012-0322-z-e DE-627 ger DE-627 rakwb eng 550 ASE 550 ASE 38.42 bkl 38.58 bkl 56.20 bkl Kao, Honn verfasserin aut Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. Landslides and mud/debris flows (dpeaa)DE-He213 Near-real time (dpeaa)DE-He213 Source-scanning algorithm (dpeaa)DE-He213 Typhoon (dpeaa)DE-He213 Kan, Chih-Wen verfasserin aut Chen, Rong-Yuh verfasserin aut Chang, Chien-Hsin verfasserin aut Rosenberger, Andreas verfasserin aut Shin, Tzay-Chyn verfasserin aut Leu, Pei-Ling verfasserin aut Kuo, Kai-Wen verfasserin aut Liang, Wen-Tzong verfasserin aut Enthalten in Landslides Berlin : Springer, 2004 9(2012), 4 vom: 03. März, Seite 557-563 (DE-627)384045197 (DE-600)2141883-4 1612-5118 nnns volume:9 year:2012 number:4 day:03 month:03 pages:557-563 https://dx.doi.org/10.1007/s10346-012-0322-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.42 ASE 38.58 ASE 56.20 ASE AR 9 2012 4 03 03 557-563 |
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10.1007/s10346-012-0322-z doi (DE-627)SPR009772618 (SPR)s10346-012-0322-z-e DE-627 ger DE-627 rakwb eng 550 ASE 550 ASE 38.42 bkl 38.58 bkl 56.20 bkl Kao, Honn verfasserin aut Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. Landslides and mud/debris flows (dpeaa)DE-He213 Near-real time (dpeaa)DE-He213 Source-scanning algorithm (dpeaa)DE-He213 Typhoon (dpeaa)DE-He213 Kan, Chih-Wen verfasserin aut Chen, Rong-Yuh verfasserin aut Chang, Chien-Hsin verfasserin aut Rosenberger, Andreas verfasserin aut Shin, Tzay-Chyn verfasserin aut Leu, Pei-Ling verfasserin aut Kuo, Kai-Wen verfasserin aut Liang, Wen-Tzong verfasserin aut Enthalten in Landslides Berlin : Springer, 2004 9(2012), 4 vom: 03. März, Seite 557-563 (DE-627)384045197 (DE-600)2141883-4 1612-5118 nnns volume:9 year:2012 number:4 day:03 month:03 pages:557-563 https://dx.doi.org/10.1007/s10346-012-0322-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.42 ASE 38.58 ASE 56.20 ASE AR 9 2012 4 03 03 557-563 |
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10.1007/s10346-012-0322-z doi (DE-627)SPR009772618 (SPR)s10346-012-0322-z-e DE-627 ger DE-627 rakwb eng 550 ASE 550 ASE 38.42 bkl 38.58 bkl 56.20 bkl Kao, Honn verfasserin aut Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. Landslides and mud/debris flows (dpeaa)DE-He213 Near-real time (dpeaa)DE-He213 Source-scanning algorithm (dpeaa)DE-He213 Typhoon (dpeaa)DE-He213 Kan, Chih-Wen verfasserin aut Chen, Rong-Yuh verfasserin aut Chang, Chien-Hsin verfasserin aut Rosenberger, Andreas verfasserin aut Shin, Tzay-Chyn verfasserin aut Leu, Pei-Ling verfasserin aut Kuo, Kai-Wen verfasserin aut Liang, Wen-Tzong verfasserin aut Enthalten in Landslides Berlin : Springer, 2004 9(2012), 4 vom: 03. März, Seite 557-563 (DE-627)384045197 (DE-600)2141883-4 1612-5118 nnns volume:9 year:2012 number:4 day:03 month:03 pages:557-563 https://dx.doi.org/10.1007/s10346-012-0322-z 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.42 ASE 38.58 ASE 56.20 ASE AR 9 2012 4 03 03 557-563 |
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English |
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Enthalten in Landslides 9(2012), 4 vom: 03. März, Seite 557-563 volume:9 year:2012 number:4 day:03 month:03 pages:557-563 |
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Enthalten in Landslides 9(2012), 4 vom: 03. März, Seite 557-563 volume:9 year:2012 number:4 day:03 month:03 pages:557-563 |
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Landslides and mud/debris flows Near-real time Source-scanning algorithm Typhoon |
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Kao, Honn @@aut@@ Kan, Chih-Wen @@aut@@ Chen, Rong-Yuh @@aut@@ Chang, Chien-Hsin @@aut@@ Rosenberger, Andreas @@aut@@ Shin, Tzay-Chyn @@aut@@ Leu, Pei-Ling @@aut@@ Kuo, Kai-Wen @@aut@@ Liang, Wen-Tzong @@aut@@ |
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Kao, Honn |
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Kao, Honn ddc 550 bkl 38.42 bkl 38.58 bkl 56.20 misc Landslides and mud/debris flows misc Near-real time misc Source-scanning algorithm misc Typhoon Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals |
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550 ASE 38.42 bkl 38.58 bkl 56.20 bkl Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals Landslides and mud/debris flows (dpeaa)DE-He213 Near-real time (dpeaa)DE-He213 Source-scanning algorithm (dpeaa)DE-He213 Typhoon (dpeaa)DE-He213 |
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ddc 550 bkl 38.42 bkl 38.58 bkl 56.20 misc Landslides and mud/debris flows misc Near-real time misc Source-scanning algorithm misc Typhoon |
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ddc 550 bkl 38.42 bkl 38.58 bkl 56.20 misc Landslides and mud/debris flows misc Near-real time misc Source-scanning algorithm misc Typhoon |
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ddc 550 bkl 38.42 bkl 38.58 bkl 56.20 misc Landslides and mud/debris flows misc Near-real time misc Source-scanning algorithm misc Typhoon |
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Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals |
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Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals |
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Kao, Honn |
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Landslides |
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eng |
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500 - Science |
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2012 |
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Kao, Honn Kan, Chih-Wen Chen, Rong-Yuh Chang, Chien-Hsin Rosenberger, Andreas Shin, Tzay-Chyn Leu, Pei-Ling Kuo, Kai-Wen Liang, Wen-Tzong |
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Elektronische Aufsätze |
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Kao, Honn |
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locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals |
| title_auth |
Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals |
| abstract |
Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. |
| abstractGer |
Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. |
| abstract_unstemmed |
Abstract Landslides induced by typhoon Morakot during its passage across Taiwan on 7–9 Aug 2009 claimed more than 700 lives and caused heavy economic loss. Unlike earthquake monitoring, precise locations of landslides could not be determined in near-real time because their seismic phases are difficult to identify. Here, we show that large, damaging landslide events are characterized seismically by a distinct waveform pattern of frequent intermixes of P and S waves over a time window of several tens of seconds. The predominant frequency band during these time windows ranges from 0.5 to 5 Hz. The high-frequency content is clearly deficient relative to that of local earthquakes by about one to two orders. We also demonstrate that large landslide events can be located and monitored with algorithms specifically designed for real-time seismic applications. This near-real-time monitoring capability would be particularly useful for emergency responders and government organizations to coordinate effective relief-and-rescue operations. |
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Locating, monitoring, and characterizing typhoon-linduced landslides with real-time seismic signals |
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https://dx.doi.org/10.1007/s10346-012-0322-z |
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Kan, Chih-Wen Chen, Rong-Yuh Chang, Chien-Hsin Rosenberger, Andreas Shin, Tzay-Chyn Leu, Pei-Ling Kuo, Kai-Wen Liang, Wen-Tzong |
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Kan, Chih-Wen Chen, Rong-Yuh Chang, Chien-Hsin Rosenberger, Andreas Shin, Tzay-Chyn Leu, Pei-Ling Kuo, Kai-Wen Liang, Wen-Tzong |
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| score |
7.400446 |