Departamento de Análisis Matemático, Estadística e Investigación Operativa y Matemática Aplicada,
Facultad de Ciencias, Universidad de Málaga, 29080 Málaga, Spain
Departamento de Análisis Matemático, Estadística e Investigación Operativa y Matemática Aplicada,
Facultad de Ciencias, Universidad de Málaga, 29080 Málaga, Spain
current affiliation: Departamento de Matemáticas, Campus de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain
Manuel J. Castro
Departamento de Análisis Matemático, Estadística e Investigación Operativa y Matemática Aplicada,
Facultad de Ciencias, Universidad de Málaga, 29080 Málaga, Spain
Viewed
Total article views: 2,560 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,674
809
77
2,560
87
113
HTML: 1,674
PDF: 809
XML: 77
Total: 2,560
BibTeX: 87
EndNote: 113
Views and downloads (calculated since 15 Sep 2020)
Cumulative views and downloads
(calculated since 15 Sep 2020)
Total article views: 1,961 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,357
532
72
1,961
74
102
HTML: 1,357
PDF: 532
XML: 72
Total: 1,961
BibTeX: 74
EndNote: 102
Views and downloads (calculated since 26 Feb 2021)
Cumulative views and downloads
(calculated since 26 Feb 2021)
Total article views: 599 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
317
277
5
599
13
11
HTML: 317
PDF: 277
XML: 5
Total: 599
BibTeX: 13
EndNote: 11
Views and downloads (calculated since 15 Sep 2020)
Cumulative views and downloads
(calculated since 15 Sep 2020)
Viewed (geographical distribution)
Total article views: 2,560 (including HTML, PDF, and XML)
Thereof 2,437 with geography defined
and 123 with unknown origin.
Total article views: 1,961 (including HTML, PDF, and XML)
Thereof 1,872 with geography defined
and 89 with unknown origin.
Total article views: 599 (including HTML, PDF, and XML)
Thereof 565 with geography defined
and 34 with unknown origin.
Numerical models need to be validated prior to their use as predictive tools. This requirement becomes even more necessary when these models are going to be used for risk assessment in natural hazards where human lives are involved. The present work aims to benchmark the novel Multilayer-HySEA model for landslide-generated tsunamis produced by granular slides, in order to provide to the tsunami community with a robust, efficient, and reliable tool for landslide tsunami hazard assessment.
Numerical models need to be validated prior to their use as predictive tools. This requirement...