Research Institute for Geo-Hydrological Protection (IRPI-CNR), Via Madonna Alta 126, 06128 Perugia, Italy
Paola Reichenbach
Research Institute for Geo-Hydrological Protection (IRPI-CNR), Via Madonna Alta 126, 06128 Perugia, Italy
Rosa María Mateos
Department of Geohazards and Climate Change, Geological and Mining Institute of Spain (IGME-CSIC), Urb. Alcázar del Genil, Edificio Zulema, bajos, 18010 Granada, Spain
Viewed
Total article views: 2,035 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,408
452
175
2,035
80
94
HTML: 1,408
PDF: 452
XML: 175
Total: 2,035
BibTeX: 80
EndNote: 94
Views and downloads (calculated since 24 Jul 2024)
Cumulative views and downloads
(calculated since 24 Jul 2024)
Total article views: 1,008 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
856
132
20
1,008
47
47
HTML: 856
PDF: 132
XML: 20
Total: 1,008
BibTeX: 47
EndNote: 47
Views and downloads (calculated since 16 Apr 2025)
Cumulative views and downloads
(calculated since 16 Apr 2025)
Total article views: 1,027 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
552
320
155
1,027
33
47
HTML: 552
PDF: 320
XML: 155
Total: 1,027
BibTeX: 33
EndNote: 47
Views and downloads (calculated since 24 Jul 2024)
Cumulative views and downloads
(calculated since 24 Jul 2024)
Viewed (geographical distribution)
Total article views: 2,035 (including HTML, PDF, and XML)
Thereof 1,966 with geography defined
and 69 with unknown origin.
Total article views: 1,008 (including HTML, PDF, and XML)
Thereof 986 with geography defined
and 22 with unknown origin.
Total article views: 1,027 (including HTML, PDF, and XML)
Thereof 980 with geography defined
and 47 with unknown origin.
This study proposes a novel systematic workflow that integrates source area identification, deterministic runout modelling, the classification of runout outputs to derive susceptibility zonation, and robust procedures for validation and comparison. The proposed approach enables the integration and comparison of different modelling, introducing a robust and consistent workflow/methodology that allows us to derive and verify rockfall susceptibility zonation, considering different steps.
This study proposes a novel systematic workflow that integrates source area identification,...