Probabilistic hazard maps of pyroclastic density currents in the Long Valley Volcanic Region

University at Buffalo, Marquette University, National Science Foundation (USA)

This is a repository of the maps and graphs of PDC inundation probability distributions and related uncertainty indices for the Long Valley volcanic region, according to the physical and statistical model in: Regis Rutarindwa, Elaine T. Spiller, Andrea Bevilacqua, Marcus I. Bursik, and Abani K. Patra (2019) Dynamic probabilistic hazard mapping in the Long Valley Volcanic Region CA: integrating vent opening maps and statistical surrogates of physical models of pyroclastic density currents, Journal of Geophysical Research, Solid Earth, https://doi.org/10.1029/2019JB017352

All the maps are available in ASCII text-file format, UTM coordinates (Northing, Easting), Zone 11 North, WGS84 horizontal datum. They are included in the zip archive. Each ASCII file is identified with a figure in the paper.

In detail:
Figure 4a: dynamic probabilistic hazard maps conditioned on a PDC event of volume of 1 km3, and based on a uniform vent opening probability distribution.

Figure 4b: dynamic probabilistic hazard maps conditioned on a PDC event of volume of 1 km3, and based on a Gaussian mixture model based on known past vent locations.

Figure 4c: dynamic probabilistic hazard maps conditioned on a PDC event of volume of 1 km3, and based on the mean values of the doubly stochastic model in Bevilacqua, Bursik, et al. (2017).

Figure 5c: uncertainty index of the PHM related to the values of the doubly stochastic model in Bevilacqua, Bursik, et al. (2017).

Figure 8ab: mean probabilistic hazard based on the model of Bevilacqua, Bursik, et al. (2017) and conditioned on a PDC event of volume of 0.01 km3.

Figure 8c: uncertainty index of the probabilistic hazard based on the model of Bevilacqua, Bursik, et al. (2017), conditioned on a PDC event of volume of 0.01 km3.