Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China
Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric p...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bao, Yiding [verfasserIn] Chen, Jianping [verfasserIn] Sun, Xiaohui [verfasserIn] Han, Xudong [verfasserIn] Li, Yongchao [verfasserIn] Zhang, Yiwei [verfasserIn] Gu, Feifan [verfasserIn] Wang, Jiaqi [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Environmental earth sciences - Berlin : Springer, 2009, 78(2019), 19 vom: 23. Sept. |
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| Übergeordnetes Werk: |
volume:78 ; year:2019 ; number:19 ; day:23 ; month:09 |
| Links: |
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| DOI / URN: |
10.1007/s12665-019-8586-4 |
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| Katalog-ID: |
SPR026753723 |
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| 245 | 1 | 0 | |a Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China |
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| 520 | |a Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. | ||
| 650 | 4 | |a Debris flows |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Pumped-storage hydroelectric power station |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Numerical simulation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Hazard prevention |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Chen, Jianping |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Xiaohui |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Xudong |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yongchao |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yiwei |e verfasserin |4 aut | |
| 700 | 1 | |a Gu, Feifan |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Jiaqi |e verfasserin |4 aut | |
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10.1007/s12665-019-8586-4 doi (DE-627)SPR026753723 (SPR)s12665-019-8586-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.95 bkl Bao, Yiding verfasserin aut Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. Debris flows (dpeaa)DE-He213 Pumped-storage hydroelectric power station (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Hazard prevention (dpeaa)DE-He213 Chen, Jianping verfasserin aut Sun, Xiaohui verfasserin aut Han, Xudong verfasserin aut Li, Yongchao verfasserin aut Zhang, Yiwei verfasserin aut Gu, Feifan verfasserin aut Wang, Jiaqi verfasserin aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 78(2019), 19 vom: 23. Sept. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:78 year:2019 number:19 day:23 month:09 https://dx.doi.org/10.1007/s12665-019-8586-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_2360 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_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 38.95 ASE AR 78 2019 19 23 09 |
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10.1007/s12665-019-8586-4 doi (DE-627)SPR026753723 (SPR)s12665-019-8586-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.95 bkl Bao, Yiding verfasserin aut Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. Debris flows (dpeaa)DE-He213 Pumped-storage hydroelectric power station (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Hazard prevention (dpeaa)DE-He213 Chen, Jianping verfasserin aut Sun, Xiaohui verfasserin aut Han, Xudong verfasserin aut Li, Yongchao verfasserin aut Zhang, Yiwei verfasserin aut Gu, Feifan verfasserin aut Wang, Jiaqi verfasserin aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 78(2019), 19 vom: 23. Sept. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:78 year:2019 number:19 day:23 month:09 https://dx.doi.org/10.1007/s12665-019-8586-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_2360 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_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 38.95 ASE AR 78 2019 19 23 09 |
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10.1007/s12665-019-8586-4 doi (DE-627)SPR026753723 (SPR)s12665-019-8586-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.95 bkl Bao, Yiding verfasserin aut Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. Debris flows (dpeaa)DE-He213 Pumped-storage hydroelectric power station (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Hazard prevention (dpeaa)DE-He213 Chen, Jianping verfasserin aut Sun, Xiaohui verfasserin aut Han, Xudong verfasserin aut Li, Yongchao verfasserin aut Zhang, Yiwei verfasserin aut Gu, Feifan verfasserin aut Wang, Jiaqi verfasserin aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 78(2019), 19 vom: 23. Sept. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:78 year:2019 number:19 day:23 month:09 https://dx.doi.org/10.1007/s12665-019-8586-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_2360 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_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 38.95 ASE AR 78 2019 19 23 09 |
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10.1007/s12665-019-8586-4 doi (DE-627)SPR026753723 (SPR)s12665-019-8586-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.95 bkl Bao, Yiding verfasserin aut Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. Debris flows (dpeaa)DE-He213 Pumped-storage hydroelectric power station (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Hazard prevention (dpeaa)DE-He213 Chen, Jianping verfasserin aut Sun, Xiaohui verfasserin aut Han, Xudong verfasserin aut Li, Yongchao verfasserin aut Zhang, Yiwei verfasserin aut Gu, Feifan verfasserin aut Wang, Jiaqi verfasserin aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 78(2019), 19 vom: 23. Sept. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:78 year:2019 number:19 day:23 month:09 https://dx.doi.org/10.1007/s12665-019-8586-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_2360 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_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 38.95 ASE AR 78 2019 19 23 09 |
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10.1007/s12665-019-8586-4 doi (DE-627)SPR026753723 (SPR)s12665-019-8586-4-e DE-627 ger DE-627 rakwb eng 550 ASE 38.95 bkl Bao, Yiding verfasserin aut Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. Debris flows (dpeaa)DE-He213 Pumped-storage hydroelectric power station (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Hazard prevention (dpeaa)DE-He213 Chen, Jianping verfasserin aut Sun, Xiaohui verfasserin aut Han, Xudong verfasserin aut Li, Yongchao verfasserin aut Zhang, Yiwei verfasserin aut Gu, Feifan verfasserin aut Wang, Jiaqi verfasserin aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 78(2019), 19 vom: 23. Sept. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:78 year:2019 number:19 day:23 month:09 https://dx.doi.org/10.1007/s12665-019-8586-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_2360 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_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 38.95 ASE AR 78 2019 19 23 09 |
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Bao, Yiding @@aut@@ Chen, Jianping @@aut@@ Sun, Xiaohui @@aut@@ Han, Xudong @@aut@@ Li, Yongchao @@aut@@ Zhang, Yiwei @@aut@@ Gu, Feifan @@aut@@ Wang, Jiaqi @@aut@@ |
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The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Debris flows</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pumped-storage hydroelectric power station</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Numerical simulation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hazard prevention</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Jianping</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sun, Xiaohui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Han, Xudong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Yongchao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Yiwei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gu, Feifan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Jiaqi</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">Environmental earth sciences</subfield><subfield code="d">Berlin : Springer, 2009</subfield><subfield code="g">78(2019), 19 vom: 23. 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|
| author |
Bao, Yiding |
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Bao, Yiding ddc 550 bkl 38.95 misc Debris flows misc Pumped-storage hydroelectric power station misc Numerical simulation misc Hazard prevention Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China |
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550 ASE 38.95 bkl Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China Debris flows (dpeaa)DE-He213 Pumped-storage hydroelectric power station (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Hazard prevention (dpeaa)DE-He213 |
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ddc 550 bkl 38.95 misc Debris flows misc Pumped-storage hydroelectric power station misc Numerical simulation misc Hazard prevention |
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ddc 550 bkl 38.95 misc Debris flows misc Pumped-storage hydroelectric power station misc Numerical simulation misc Hazard prevention |
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Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China |
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Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China |
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Bao, Yiding Chen, Jianping Sun, Xiaohui Han, Xudong Li, Yongchao Zhang, Yiwei Gu, Feifan Wang, Jiaqi |
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debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in yi county, hebei, china |
| title_auth |
Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China |
| abstract |
Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. |
| abstractGer |
Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. |
| abstract_unstemmed |
Abstract In recent years, the development of pumped-storage hydroelectricity has seen a very rapid increase, and lots of stations have been proposed to be built in China to adjust the energy structure of production and alleviate electrical energy shortages. The site of pumped-storage hydroelectric power plants is usually chosen in the mountain area, which can conveniently provide headwaters and height difference for the proper functioning of hydroelectric power station; however, geological disasters such as debris frequently flows in the mountain areas, posing great threat to the safety of plants and staff. A large pumped-storage hydroelectric power station will be built in the Taihang Mountains in the northwest of Yi County, Hebei province. To predict the potential scale of debris flow hazard, the shallow-water model based on the finite volume method (SFLOW model) is used. During the work, reconnaissance, geomorphological analysis, and laboratory experiment are carried out for model construction and data input. Then the debris flow designed for 20-, 50-, 100-, and 200-year return periods and the flood caused by dam break are simulated. The simulation study shows that the potential debris flow hazard will greatly harm the reservoir area, and if debris flows destroy the dam, floods could affect the residents of a maximum of 1.21 million square meters downstream. To prevent debris flows, retaining walls in the SFLOW model are set, and the results show that they can effectively reduce the hazard area of debris flow, ensuring the safety of the reservoir area. In general, the SFLOW model can accurately and efficiently solve the problem of fluid flow on irregular terrain and can be applied to similar engineering projects. |
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| title_short |
Debris flow prediction and prevention in reservoir area based on finite volume type shallow-water model: a case study of pumped-storage hydroelectric power station site in Yi County, Hebei, China |
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https://dx.doi.org/10.1007/s12665-019-8586-4 |
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Chen, Jianping Sun, Xiaohui Han, Xudong Li, Yongchao Zhang, Yiwei Gu, Feifan Wang, Jiaqi |
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Chen, Jianping Sun, Xiaohui Han, Xudong Li, Yongchao Zhang, Yiwei Gu, Feifan Wang, Jiaqi |
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2024-07-03T22:35:23.587Z |
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| score |
7.400218 |