WOVOdat – the global volcano unrest database aimed at improving eruption forecasts
Purpose The purpose of this paper is to highlight the importance of a comprehensive global database on volcanic unrest (WOVOdat) as a resource to improve eruption forecasts, hazard evaluation and mitigation actions. Design/methodology/approach WOVOdat is a centralized database that hosts multi-param...
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Veröffentlicht in: | Disaster prevention and management 2019-11, Vol.28 (6), p.738-751 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Purpose
The purpose of this paper is to highlight the importance of a comprehensive global database on volcanic unrest (WOVOdat) as a resource to improve eruption forecasts, hazard evaluation and mitigation actions.
Design/methodology/approach
WOVOdat is a centralized database that hosts multi-parameter monitoring data sets from unrest and eruption episodes of volcanoes worldwide. Its online interface (https://wovodat.org/) allows interactive data analysis and comparison between volcanoes and eruption styles, which is needed during volcanic crises, as well as to perform basic research on pre-eruption processes, teaching and outreach.
Findings
WOVOdat aims to standardize and organize the myriad of monitoring data types at the global scale. Users can compare changes during a crisis to past unrest episodes, and estimate probabilities of outcomes using evidence-based statistics. WOVOdat will be to volcanology as an epidemiological database is to medicine.
Research limitations/implications
The success of eruption forecast relies on data completeness, and thus requires the willingness of observatories, governments and researchers to share data across the volcano community.
Practical implications
WOVOdat is a unique resource that can be studied to understand the causes of volcanic unrest and to improve eruption forecasting.
Originality/value
WOVOdat is the only compilation of standardized and multi-parameter volcano unrest data from around the world, and it is freely and easily accessible through an online interface. |
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ISSN: | 0965-3562 1758-6100 |
DOI: | 10.1108/DPM-09-2019-0301 |