Sentence examples for hazardous phenomenon from inspiring English sources

PyBetVH is a completely new, free, open-source and cross-platform software implementation of the Bayesian Event Tree for Volcanic Hazard (BET_VH), a tool for estimating the probability of any magmatic hazardous phenomenon occurring in a selected time frame, accounting for all the uncertainties.

Risk arises as the product of the probability with which the hazardous phenomenon of a certain magnitude occurs multiplied by the degree of vulnerability (risk = hazard × vulnerability).

The hydrogen accumulation in structural and functional materials is an extremely hazardous phenomenon, which leads to hydrogen degradation of materials and to possible unforeseen equipment failures [10-14] [10-14]

Probabilistic isomass maps fix a probability threshold to represent the typical tephra accumulation given a probability of occurrence of the hazardous phenomenon conditional on the occurrence of the associated eruption scenario (e.g. Biass and Bonadonna 2013; Biass et al. 2016).

The medium of film is well established for education and communication about hazardous phenomena as it provides engaging ways to directly view hazards and their impacts.

The final products are conditional and absolute probability maps for volcanic hazardous phenomena.

Furthermore, the recurrence rates of different magnitude eruptions and particular hazardous phenomena, as well as the stationarity of global volcanism can be evaluated.

This involves calculating how destructive a future eruption is likely to be by estimating the magnitude of eruptive activity and likelihood of various hazardous phenomena.

Impacts of ballistic ejecta is one of the most hazardous phenomena in vulcanian explosions, as witnessed in recent eruptions at Colima volcano, Mexico (1999), Popocatepetl volcano, Mexico (2003), Asama volcano, Japan (2004), etc.

Ideally, forecasts by volcano scientists referring to the possible occurrence of potentially hazardous phenomena, should represent the probability distribution for each outcome of potential interest, and the evolution of such distributions in time as new observations and records are produced.

Continuous probability distributions are employed to capture the relative uncertainties of both global and individual records and posterior distributions for eruption magnitudes and hazardous phenomena are computed using Markov chain Monte Carlo techniques.