Towards better volcanic risk-assessment systems by applying ensemble classification methods to triaxial seismic-volcanic signals
| Autor: | John Makario Londoño-Bonilla, Valentina Nale, Mauricio Orozco-Alzate, Manuele Bicego |
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| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
geography geography.geographical_feature_category Ecology business.industry Computer science 010604 marine biology & hydrobiology Applied Mathematics Ecological Modeling pattern recognition Pattern recognition 010603 evolutionary biology 01 natural sciences Volcanic risk Computer Science Applications volcanic signals Computational Theory and Mathematics Volcano Modeling and Simulation Classification methods Artificial intelligence pattern recognition volcanic signals business Classifier (UML) Ecology Evolution Behavior and Systematics |
| Zdroj: | Ecological Informatics. 51:177-184 |
| ISSN: | 1574-9541 |
| DOI: | 10.1016/j.ecoinf.2019.03.004 |
| Popis: | Analysis of seismic data is the most important method for volcano monitoring. Such data typically consists in digital signals acquired with an arrangement of triaxial seismic sensors which are strategically deployed on the volcano and its surrounding areas. Very rich measurements of the underlying phenomena are obtained from the arrangement because each sensor, through their corresponding three sensing axes, uninterruptedly acquires data at a relatively high sampling rate. Such an uninterrupted acquisition, however, turns manual classification of seismic signals into an inefficient and often error-prone task. As a solution, several systems for automated classification of seismic-volcanic signals have been proposed. All these systems, however, are limited to the usage of only one direction of acquisition; typically the vertical one. In this paper we make a step forward, exploring the potential benefit of using information from the three axes of the signals gathered by a single sensor. Integration is performed by classifier combining techniques, applied at different levels: this permits to take into account in the classification all the three orthogonal orientations —vertical, East-West and North-South— of the phenomenon. Preliminary experimental results on a set of volcanic signals gathered at Nevado del Ruiz volcano in Colombia confirmed the richness of this information. |
| Databáze: | OpenAIRE |
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