Volcanic processes as a source of statistical data
Published:January 01, 2006
There are currently about 1500 active volcanoes on Earth (Tilling 1989). Eruptive activity presents in many different styles, ranging from highly explosive eruptions to non-explosive or effusive behaviour, which vary greatly in the hazard that they pose. Currently, millions of people are at risk from volcanic hazards. The average annual death toll as a result of volcanic hazards is rising because more people are living in close proximity to active volcanoes. Our understanding of the physical processes and parameters involved in the generation and evolution of volcanic flows is now advanced, and sophisticated process-oriented numerical models exist that describe eruptive processes well. There are hundreds to thousands of eruptions each year on Earth and many volcanoes are monitored around the clock by dedicated observatories. Thus, volcanology is rich in statistical data and statistical modelling is an emergent and rapidly growing area of interest. This volume is aimed at presenting the current state of statistical modelling within volcanology. The purpose of this paper is to give a general introduction to volcanic eruption processes, data and modelling, as well as an overview of the volume as a whole.
This Special Publication is restricted to terrestrial volcanism (i.e. on land) and in the absence of large volumes of water, such as groundwater, sea or lake water, or snow. ‘Phreatomagmatic’ volcanism, which results from the interaction of magma and water, has been reviewed by Zimanowski (1998).
Figures & Tables
Statistics in Volcanology
Statistics in Volcanology is a comprehensive guide to modern statistical methods applied in volcanology written by today's leading authorities. The volume aims to show how the statistical analysis of complex volcanological data sets, including time series, and numerical models of volcanic processes can improve our ability to forecast volcanic eruptions. Specific topics include the use of expert elicitation and Bayesian methods in eruption forecasting, statistical models of temporal and spatial patterns of volcanic activity, analysis of time series in volcano seismology, probabilistic hazard assessment, and assessment of numerical models using robust statistical methods. Also provided are comprehensive overviews of volcanic phenomena, and a full glossary of both volcanological and statistical terms.
Statistics in Volcanology is essential reading for advanced undergraduates, graduate students, and research scientists interested in this multidisciplinary field.