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: 2,520 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,651
794
75
2,520
84
109
HTML: 1,651
PDF: 794
XML: 75
Total: 2,520
BibTeX: 84
EndNote: 109
Views and downloads (calculated since 15 Sep 2020)
Cumulative views and downloads
(calculated since 15 Sep 2020)
Total article views: 1,928 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,335
523
70
1,928
71
98
HTML: 1,335
PDF: 523
XML: 70
Total: 1,928
BibTeX: 71
EndNote: 98
Views and downloads (calculated since 26 Feb 2021)
Cumulative views and downloads
(calculated since 26 Feb 2021)
Total article views: 592 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
316
271
5
592
13
11
HTML: 316
PDF: 271
XML: 5
Total: 592
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: 2,520 (including HTML, PDF, and XML)
Thereof 2,402 with geography defined
and 118 with unknown origin.
Total article views: 1,928 (including HTML, PDF, and XML)
Thereof 1,844 with geography defined
and 84 with unknown origin.
Total article views: 592 (including HTML, PDF, and XML)
Thereof 558 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...
