A SPH two-layer depth-integrated model for landslide-generated waves in reservoirs: application to Halaowo in Jinsha River (China)

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Publicado en:Landslides vol. 16, no. 11 (Nov 2019), p. 2167
Autor principal: Lin, Chuan
Otros Autores: Pastor, Manuel, Li Tongchun, Liu, Xiaoqing, Qi Huijun, Lin Chaoning
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Springer Nature B.V.
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024 7 |a 10.1007/s10346-019-01204-9  |2 doi 
035 |a 2503526944 
045 2 |b d20191101  |b d20191130 
084 |a 108227  |2 nlm 
100 1 |a Lin, Chuan  |u Fuzhou University, College of Civil Engineering, Fuzhou, China (GRID:grid.411604.6) (ISNI:0000 0001 0130 6528); Hohai University, College of Water Conservancy and Hydropower Engineering, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465) 
245 1 |a A SPH two-layer depth-integrated model for landslide-generated waves in reservoirs: application to Halaowo in Jinsha River (China) 
260 |b Springer Nature B.V.  |c Nov 2019 
513 |a Journal Article 
520 3 |a In this work, a two-layer depth-integrated smoothed particle hydrodynamics (SPH) model is applied to investigate the effects of landslide propagation on the impulsive waves generated when entering a water body. In order to deal with the open boundary in practical engineering problems, an absorbing boundary method, based on Riemann invariants which can be applied to arbitrary geometries, is implemented. In order to examine the accuracy of the proposed formulation, the model is tested against both available laboratory tests and numerical examples from the literature. Then, it is adopted to model the characteristics of the impulse waves generated by the Halaowo landslide in the Jinsha River, China. The results provide a technical basis for the emergency plan to the Halaowo landslide and benefit the disaster prevention policy, which helps mitigating future hazards in similar reservoir areas. 
651 4 |a Jinsha River 
651 4 |a China 
653 |a Landslides 
653 |a Hydrodynamics 
653 |a Smooth particle hydrodynamics 
653 |a Model testing 
653 |a Landslide effects 
653 |a Laboratory tests 
653 |a Water bodies 
653 |a Fluid flow 
653 |a Rivers 
653 |a Water depth 
653 |a Emergency preparedness 
653 |a Model accuracy 
653 |a Hazard mitigation 
653 |a Wave propagation 
653 |a Reservoirs 
653 |a Computational fluid dynamics 
653 |a Emergency plans 
653 |a Accuracy 
653 |a Propagation 
653 |a Research methodology 
653 |a Landslides & mudslides 
653 |a Experiments 
653 |a Laboratories 
653 |a Environmental 
700 1 |a Pastor, Manuel  |u Universidad Politécnica de Madrid, Department of Applied Mathematics, ETSI Caminos, Madrid, Spain (GRID:grid.5690.a) (ISNI:0000 0001 2151 2978) 
700 1 |a Li Tongchun  |u Hohai University, College of Water Conservancy and Hydropower Engineering, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465) 
700 1 |a Liu, Xiaoqing  |u Hohai University, College of Water Conservancy and Hydropower Engineering, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465) 
700 1 |a Qi Huijun  |u Hohai University, College of Water Conservancy and Hydropower Engineering, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465) 
700 1 |a Lin Chaoning  |u Hohai University, College of Water Conservancy and Hydropower Engineering, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465) 
773 0 |t Landslides  |g vol. 16, no. 11 (Nov 2019), p. 2167 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2503526944/abstract/embedded/9R349J4AAH19K9LJ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2503526944/fulltextPDF/embedded/9R349J4AAH19K9LJ?source=fedsrch