Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau
Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this s...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Zhihai [verfasserIn] Zhou, Fujun [verfasserIn] Han, Xudong [verfasserIn] Chen, Jianping [verfasserIn] Li, Yuchao [verfasserIn] Zhai, Shijie [verfasserIn] Han, Mengxia [verfasserIn] Bao, Yiding [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Bulletin of engineering geology and the environment - Berlin : Springer, 1970, 80(2021), 4 vom: 27. Jan., Seite 3405-3422 |
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| Übergeordnetes Werk: |
volume:80 ; year:2021 ; number:4 ; day:27 ; month:01 ; pages:3405-3422 |
| Links: |
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| DOI / URN: |
10.1007/s10064-021-02109-5 |
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| Katalog-ID: |
SPR043501451 |
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| 520 | |a Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. | ||
| 650 | 4 | |a Glacier debris flow |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Geological disaster chain |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Numerical simulation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Peilong valley |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zhou, Fujun |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Xudong |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Jianping |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yuchao |e verfasserin |4 aut | |
| 700 | 1 | |a Zhai, Shijie |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Mengxia |e verfasserin |4 aut | |
| 700 | 1 | |a Bao, Yiding |e verfasserin |4 aut | |
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10.1007/s10064-021-02109-5 doi (DE-627)SPR043501451 (DE-599)SPRs10064-021-02109-5-e (SPR)s10064-021-02109-5-e DE-627 ger DE-627 rakwb eng 550 600 ASE 38.58 bkl 56.00 bkl 56.20 bkl Li, Zhihai verfasserin aut Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. Glacier debris flow (dpeaa)DE-He213 Geological disaster chain (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Peilong valley (dpeaa)DE-He213 Zhou, Fujun verfasserin aut Han, Xudong verfasserin aut Chen, Jianping verfasserin aut Li, Yuchao verfasserin aut Zhai, Shijie verfasserin aut Han, Mengxia verfasserin aut Bao, Yiding verfasserin aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 80(2021), 4 vom: 27. Jan., Seite 3405-3422 (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:80 year:2021 number:4 day:27 month:01 pages:3405-3422 https://dx.doi.org/10.1007/s10064-021-02109-5 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_152 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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 38.58 ASE 56.00 ASE 56.20 ASE AR 80 2021 4 27 01 3405-3422 |
| spelling |
10.1007/s10064-021-02109-5 doi (DE-627)SPR043501451 (DE-599)SPRs10064-021-02109-5-e (SPR)s10064-021-02109-5-e DE-627 ger DE-627 rakwb eng 550 600 ASE 38.58 bkl 56.00 bkl 56.20 bkl Li, Zhihai verfasserin aut Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. Glacier debris flow (dpeaa)DE-He213 Geological disaster chain (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Peilong valley (dpeaa)DE-He213 Zhou, Fujun verfasserin aut Han, Xudong verfasserin aut Chen, Jianping verfasserin aut Li, Yuchao verfasserin aut Zhai, Shijie verfasserin aut Han, Mengxia verfasserin aut Bao, Yiding verfasserin aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 80(2021), 4 vom: 27. Jan., Seite 3405-3422 (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:80 year:2021 number:4 day:27 month:01 pages:3405-3422 https://dx.doi.org/10.1007/s10064-021-02109-5 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_152 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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 38.58 ASE 56.00 ASE 56.20 ASE AR 80 2021 4 27 01 3405-3422 |
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10.1007/s10064-021-02109-5 doi (DE-627)SPR043501451 (DE-599)SPRs10064-021-02109-5-e (SPR)s10064-021-02109-5-e DE-627 ger DE-627 rakwb eng 550 600 ASE 38.58 bkl 56.00 bkl 56.20 bkl Li, Zhihai verfasserin aut Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. Glacier debris flow (dpeaa)DE-He213 Geological disaster chain (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Peilong valley (dpeaa)DE-He213 Zhou, Fujun verfasserin aut Han, Xudong verfasserin aut Chen, Jianping verfasserin aut Li, Yuchao verfasserin aut Zhai, Shijie verfasserin aut Han, Mengxia verfasserin aut Bao, Yiding verfasserin aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 80(2021), 4 vom: 27. Jan., Seite 3405-3422 (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:80 year:2021 number:4 day:27 month:01 pages:3405-3422 https://dx.doi.org/10.1007/s10064-021-02109-5 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_152 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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 38.58 ASE 56.00 ASE 56.20 ASE AR 80 2021 4 27 01 3405-3422 |
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10.1007/s10064-021-02109-5 doi (DE-627)SPR043501451 (DE-599)SPRs10064-021-02109-5-e (SPR)s10064-021-02109-5-e DE-627 ger DE-627 rakwb eng 550 600 ASE 38.58 bkl 56.00 bkl 56.20 bkl Li, Zhihai verfasserin aut Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. Glacier debris flow (dpeaa)DE-He213 Geological disaster chain (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Peilong valley (dpeaa)DE-He213 Zhou, Fujun verfasserin aut Han, Xudong verfasserin aut Chen, Jianping verfasserin aut Li, Yuchao verfasserin aut Zhai, Shijie verfasserin aut Han, Mengxia verfasserin aut Bao, Yiding verfasserin aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 80(2021), 4 vom: 27. Jan., Seite 3405-3422 (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:80 year:2021 number:4 day:27 month:01 pages:3405-3422 https://dx.doi.org/10.1007/s10064-021-02109-5 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_152 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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 38.58 ASE 56.00 ASE 56.20 ASE AR 80 2021 4 27 01 3405-3422 |
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10.1007/s10064-021-02109-5 doi (DE-627)SPR043501451 (DE-599)SPRs10064-021-02109-5-e (SPR)s10064-021-02109-5-e DE-627 ger DE-627 rakwb eng 550 600 ASE 38.58 bkl 56.00 bkl 56.20 bkl Li, Zhihai verfasserin aut Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. Glacier debris flow (dpeaa)DE-He213 Geological disaster chain (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Peilong valley (dpeaa)DE-He213 Zhou, Fujun verfasserin aut Han, Xudong verfasserin aut Chen, Jianping verfasserin aut Li, Yuchao verfasserin aut Zhai, Shijie verfasserin aut Han, Mengxia verfasserin aut Bao, Yiding verfasserin aut Enthalten in Bulletin of engineering geology and the environment Berlin : Springer, 1970 80(2021), 4 vom: 27. Jan., Seite 3405-3422 (DE-627)271597011 (DE-600)1480689-7 1435-9537 nnns volume:80 year:2021 number:4 day:27 month:01 pages:3405-3422 https://dx.doi.org/10.1007/s10064-021-02109-5 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_152 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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 38.58 ASE 56.00 ASE 56.20 ASE AR 80 2021 4 27 01 3405-3422 |
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Li, Zhihai @@aut@@ Zhou, Fujun @@aut@@ Han, Xudong @@aut@@ Chen, Jianping @@aut@@ Li, Yuchao @@aut@@ Zhai, Shijie @@aut@@ Han, Mengxia @@aut@@ Bao, Yiding @@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">SPR043501451</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220110203439.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210316s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10064-021-02109-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR043501451</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)SPRs10064-021-02109-5-e</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10064-021-02109-5-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="a">600</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.58</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">56.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">56.20</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Zhihai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</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 The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. 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|
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Li, Zhihai |
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Li, Zhihai ddc 550 bkl 38.58 bkl 56.00 bkl 56.20 misc Glacier debris flow misc Geological disaster chain misc Numerical simulation misc Peilong valley Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau |
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550 600 ASE 38.58 bkl 56.00 bkl 56.20 bkl Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau Glacier debris flow (dpeaa)DE-He213 Geological disaster chain (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Peilong valley (dpeaa)DE-He213 |
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ddc 550 bkl 38.58 bkl 56.00 bkl 56.20 misc Glacier debris flow misc Geological disaster chain misc Numerical simulation misc Peilong valley |
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ddc 550 bkl 38.58 bkl 56.00 bkl 56.20 misc Glacier debris flow misc Geological disaster chain misc Numerical simulation misc Peilong valley |
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ddc 550 bkl 38.58 bkl 56.00 bkl 56.20 misc Glacier debris flow misc Geological disaster chain misc Numerical simulation misc Peilong valley |
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Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau |
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Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau |
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Li, Zhihai |
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Li, Zhihai Zhou, Fujun Han, Xudong Chen, Jianping Li, Yuchao Zhai, Shijie Han, Mengxia Bao, Yiding |
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numerical simulation and analysis of a geological disaster chain in the peilong valley, se tibetan plateau |
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Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau |
| abstract |
Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. |
| abstractGer |
Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. |
| abstract_unstemmed |
Abstract The Yarlung Tsangpo river basin in the southeastern part of the Tibetan Plateau contains many maritime glaciers, where the massive debris flow formation caused by the glacial degradation leads to the issue of regional warming. It often forms a continuous geological disaster chain. In this study, the topographical features and debris flow deposits in the Peilong valley were investigated in November 2018. It was found that the geological conditions in the valley are complex and numerous unstable sources are existed. Field investigations, laboratory tests, and a geomorphological analysis were conducted to obtain relevant data for the valley. And comparison of Landsat images indicates that the rate of change of the glacial area is 51.62% from winter to summer. Discrete element software (PFC3D) is used to simulate glacial landslides on the left bank. The simulation results show that a dam with a height of 141 m was formed, creating a lake. The debris flow after the dam break is simulated for different peak discharge values and durations based on a free surface shallow flow (SFLOW) model, with a final accumulation depth of 21.6 m. The comprehensive results of numerical simulation show that the chain of geological disasters induced by glacial landslide poses a huge threat to residents and roads near Peilong valley. Therefore, it is recommended to monitor the glacier activities in real time to enable forecasting of debris flows and reduce the property losses and prevent loss of life. |
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Numerical simulation and analysis of a geological disaster chain in the Peilong valley, SE Tibetan Plateau |
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Zhou, Fujun Han, Xudong Chen, Jianping Li, Yuchao Zhai, Shijie Han, Mengxia Bao, Yiding |
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| score |
7.398943 |