Special Issue "Data Processing and Modeling on Volcanic and Seismic Areas"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences and Geography".

Deadline for manuscript submissions: 31 August 2020.

Special Issue Editors

Dr. Alessandro Bonforte
Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania – Osservatorio Etneo. Piazza Roma, 2 – 95125 Catania, Italy
Interests: ground deformation; volcano geodesy; volcano-tectonics; volcanology; active tectonics
Special Issues and Collections in MDPI journals
Dr. Flavio Cannavò
Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Etneo, Piazza Roma 2, 95123, Catania, Italy
Interests: time series analysis; signal processing; data modelling; inverse problems; pattern recognition; machine learning; volcano geodesy; volcano modelling

Special Issue Information

Dear Colleagues,

The recent growth of multi-sensor monitoring networks and satellites with the exponential increase of the amount of spatiotemporal data has revealed an increasingly compelling need to develop data processing, analysis, and modeling tools capable of handling large amounts of data and synthesizing the useful information.
Data processing, analysis, and modeling techniques may allow the identification of significant information to be integrated into volcanic/seismological monitoring systems. The new developed technology is expected to improve operational hazard detection, alerting, and management capabilities.
Technological evolution, as well as the increasing availability of new sensors and platforms and freely available data, pose a new challenge to the scientific community for developing new tools and methods able to integrate and process different information. Emergencies and crises evidence how the rapid response in processing all the available information is also crucial in helping decision makers to mitigate the risk to the exposed population. Prompt data analysis requires a variety of tools, such as event detection, phenomenon recognition and classification, hazard assessment, and episode forecast.
This Special Issue intends to collect new ideas and contributions at the frontier between the fields of data handling, processing, and modeling for volcanic and seismic systems. The primary aspects of any contribution should be novelty and originality.

Specific topics of interest for this Special Issue include, but are not limited to:

  • Modeling volcano and earthquake deformation;
  • Spatiotemporal data analysis;
  • Tools for the diagnosis of unrest patterns using statistical analytics and current advancement of machine learning techniques;
  • Automatic procedures for data processing, standardization, and rapid integration into a centralized monitoring platform;
  • Anomaly detection and precursor recognition in data.

Dr. Alessandro Bonforte
Dr. Flavio Cannavò
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • data management
  • data handling
  • archiving
  • processing
  • modelling
  • big data
  • time series
  • integration
  • forecasting
  • machine learning
  • data fusion

Published Papers (1 paper)

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Open AccessArticle
Τhe February-March 2019 Seismic Swarm Offshore North Lefkada Island, Greece: Microseismicity Analysis and Geodynamic Implications
Appl. Sci. 2020, 10(13), 4491; https://doi.org/10.3390/app10134491 - 29 Jun 2020
A quite energetic seismic excitation consisting of one main and three additional distinctive earthquake clusters that occurred in the transition area between the Kefalonia Transform Fault Zone (KTFZ) and the continental collision between the Adriatic and Aegean microplates is thoroughly studied after the [...] Read more.
A quite energetic seismic excitation consisting of one main and three additional distinctive earthquake clusters that occurred in the transition area between the Kefalonia Transform Fault Zone (KTFZ) and the continental collision between the Adriatic and Aegean microplates is thoroughly studied after the high-precision aftershocks’ relocation. The activated fault segments are in an area where historical and instrumental data have never claimed the occurrence of a catastrophic (M ≥ 6.0) earthquake. The relocated seismicity initially defines an activated structure extending from the northern segment of the Lefkada branch of KTFZ with the same NNE–SSW orientation and dextral strike slip faulting, and then keeping the same sense of motion, its strike becomes NE–SW and its dip direction NW. This provides unprecedented information on the link between the KTFZ and the collision front and sheds more light on the regional geodynamics. The earthquake catalog, which was especially compiled for this study, starts one year before the occurrence of the Mw5.4 main shock, and adequately provides the proper data source for investigating the temporal variation in the b value, which might be used for discriminating foreshock and aftershock behavior. Full article
(This article belongs to the Special Issue Data Processing and Modeling on Volcanic and Seismic Areas)
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