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Numerical simulation data on landslide generated impulse waves affected by the reservoir geometry.
Zhang, Yu; Li, Deying; Chen, Lixia; Yin, Kunlong; Xiao, Lili; Fu, Xiaolin; Glade, Thomas; Leo, Chin.
Afiliação
  • Zhang Y; Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.
  • Li D; Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.
  • Chen L; Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China.
  • Yin K; Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.
  • Xiao L; School of Highway, Chang'an University, Xi'an 710064, China.
  • Fu X; Wuhan Centre of China Geological Survey, Wuhan 430074, China.
  • Glade T; Department of Geography and Regional Research, University of Vienna, Vienna 1010, Austria.
  • Leo C; School of Computing, Engineering and Math, Western Sydney University, Sydney, NSW 1797, Australia.
Data Brief ; 28: 104938, 2020 Feb.
Article em En | MEDLINE | ID: mdl-32226797
The data article provided time series of water surface elevation and wave parameters of landslide generated impulse waves affected by reservoir geometry. Two types of generalized reservoir geometries were investigated by the numerical method of Tsunami Squares-converging reservoir geometries and diverging reservoir geometries. 14 numerical reservoir models with expansion angle of 0°, 5°, 10°, 15°, 20°, 25° and 30° were performed. Time series of water surface elevation at the propagation distance of 2 km for the converging and diverging reservoir models were obtained from 70 numerical wave gauges, which allows to analyse the effect of reservoir geometries on wave characteristics generated by landslide. The wave profiles of section C at different propagation distance were also investigated in order to improve the understanding of wave characteristics at different positions. Furthermore, wave parameters (wave height, wave amplitude and wave trough) of different propagation distance for all reservoir geometries were present in the article. These data were used in Zhang et al., 2019 [1].
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article