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Development and application of a finite volume tsunami numerical model based on the well-balanced shallow water equations
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Wen Zhou1, Peitao Wang2, Gang Wang1, *, Fujiang Yu2, Jinhai Zheng1, Qiuhua Liang3
Haiyang Xuebao | 2021, 43(5) : 27 - 37
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Haiyang Xuebao | 2021, 43(5): 27-37
Article
Development and application of a finite volume tsunami numerical model based on the well-balanced shallow water equations
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Wen Zhou1, Peitao Wang2, Gang Wang1, *, Fujiang Yu2, Jinhai Zheng1, Qiuhua Liang3
Affiliations
  • 1Key Laboratory of Coastal Disaster and Protection (Hohai University), Ministry of Education, Nanjing 210098, China
  • 2National Marine Environmental Forecasting Center, Beijing 100081, China
  • 3School of Architecture, Building and Civil Engineering, Loughborough University, Leicestershire LE11 3TU, UK
Published: 2021-05-25 doi: 10.12284/hyxb2021095
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Numerical simulation, as the major research method of tsunami, plays a key role in tsunami warning. The present paper develops a second-order accuracy numerical tsunami model in the spherical coordinate using the Godunov-type finite volume method and MUSCL-Hancock scheme. An HLLC approximate Riemann solver is employed to evaluate fluxes across cell interfaces. The well-balanced expression format of shallow water equations ensures the numerical stability, while the local topography reconstruction method is used to deal with the moving shoreline boundary. The model is used to investigate the propagation of the 16 September 2015 Chile tsunami. The capability of the model is verified by comparison with the observational data from 14 coastal tidal-gauge stations near Chile and 20 DART buoys covering the Pacific Ocean.

tsunami numerical model  /  well-balanced shallow water equations  /  finite volume method  /  moving shoreline boundary  /  Chile tsunami
Wen Zhou, Peitao Wang, Gang Wang, Fujiang Yu, Jinhai Zheng, Qiuhua Liang. Development and application of a finite volume tsunami numerical model based on the well-balanced shallow water equations[J]. Haiyang Xuebao, 2021 , 43 (5) : 27 -37 . DOI: 10.12284/hyxb2021095
Year 2021 volume 43 Issue 5
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Article Info
doi: 10.12284/hyxb2021095
  • Receive Date:2020-05-24
  • Online Date:2026-02-26
  • Published:2021-05-25
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  • Received:2020-05-24
  • Revised:2020-10-19
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Affiliations
    1Key Laboratory of Coastal Disaster and Protection (Hohai University), Ministry of Education, Nanjing 210098, China
    2National Marine Environmental Forecasting Center, Beijing 100081, China
    3School of Architecture, Building and Civil Engineering, Loughborough University, Leicestershire LE11 3TU, UK
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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