Articles | Volume 19, issue 7
https://doi.org/10.5194/nhess-19-1347-2019
https://doi.org/10.5194/nhess-19-1347-2019
Research article
 | 
08 Jul 2019
Research article |  | 08 Jul 2019

Statistical theory of probabilistic hazard maps: a probability distribution for the hazard boundary location

David M. Hyman, Andrea Bevilacqua, and Marcus I. Bursik

Viewed

Total article views: 3,522 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,654 787 81 3,522 66 83
  • HTML: 2,654
  • PDF: 787
  • XML: 81
  • Total: 3,522
  • BibTeX: 66
  • EndNote: 83
Views and downloads (calculated since 16 Nov 2018)
Cumulative views and downloads (calculated since 16 Nov 2018)

Viewed (geographical distribution)

Total article views: 3,522 (including HTML, PDF, and XML) Thereof 3,191 with geography defined and 331 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Short summary
In this work, we present new methods for calculating the mean, standard deviation, median, and modal locations of the boundaries of volcanic hazards. These calculations are based on a new, mathematically rigorous definition of probabilistic hazard maps – a way to map the probabilities of inundation by a given hazard. We apply this analysis to several models of volcanic flows: simple models of viscous flows, complex models of a tabletop granular flow, and a complex model of a volcanic mud flow.
Altmetrics
Final-revised paper
Preprint