This paper describes the development of a multi-parameter system for monitoring volcanic activity. The system permits the remote access and the connection of several modules in a network. An embedded ARM TM processor has been used, allowing a great flexibility in hardware configuration. The use of a complete Linux solution (Debian TM) as Operating System permits a quick, easy application development to control sensors and communications. This provides all the capabilities required and great stability with relatively low energy consumption. The cost of the components and applications development is low since they are widely used in different fields. Sensors and commercial modules have been combined with other self-developed modules. The Modular Volcano Monitoring System (MVMS) described has been deployed on the active Deception Island (Antarctica) volcano, within the Spanish Antarctic Program, and has proved successful for monitoring the volcano, with proven reliability and efficient operation under extreme conditions. In another context, i.e., the recent volcanic activity on El Hierro Island (Canary Islands) in 2011, this technology has been used for the seismic equipment and GPS systems deployed, thus showing its efficiency in the monitoring of a volcanic crisis.
References
[1]
Seidl, D.; Hellweg, M.; Calvache, M.; Gomez, D.; Ortega, A.; Torres, R.; B？ker, F.; Buttkus, B.; Faber, E.; Greinwald, S. The multiparameter station at Galeras Volcano (Colombia): Concept and realization. J. Volcanol. Geotherm. Res. 2003, 125, 1–12.
[2]
Ewert, J.; Guffanti, M.; Murray, T. An Assessment of Volcanic Threat and Monitoring Capabilities in the United States: Framework for a National Volcano Early Warning System NVEWS. Open-File Report 2005-1164; US Geological Survey: Reston, VA, USA, 2005.
[3]
Orazi, M.; Peluso, R.; Caputo, A.; Capello, M.; Buonocunto, C.; Martini, M. A Multiparametric Low Power Digitizer: Project and Results. In Conception, Verification, and Application of Innovative Techniques to Study Active Volcanoes; Marzocchi, W., Zollo, A., Eds.; Istituto Nazionale di Geofisica e Vulcanologia: Naples, Italy, 2008; pp. 435–460.
[4]
Peluso, R.; Buonocunto, C.; Caputo, A.; De Cesare, W.; Orazi, M.; Scarpato, G. Tecniche di Alta Disponibilità per l'acquisizione di dati sismici in ambiente GNU/Linux: Un'applicazione alla rete sismica di Stromboli. Quaderni di Geofisica 2009, 74, 4–17.
[5]
Puglisi, G.; Bonaccorso, A.; Mattia, M.; Aloisi, M.; Bonforte, A.; Campisi, O.; Cantarero, M.; Falzone, G.; Puglisi, B.; Rossi, M. New integrated geodetic monitoring system at Stromboli volcano (Italy). Eng. Geol. 2005, 79, 13–31.
[6]
Mattia, M.; Pellegrino, D.; Pulvirenti, M.; Rossi, M. Applicazioni di sistemi di comunicazione wireless a 5 GHz per il monitoraggio multiparametrico dell'Etna. Technical Report 207; Istituto Nazionale di Geofisica e Vulcanologia: Sezione di Catania, Italy, 2012.
[7]
Scarpato, G.; de Cesare, W.; Orazi, M.; Peluso, R.; Caputo, A.; Martini, M.; Giudicepietro, F. Sistemi di trasmissione WiFi per il monitoraggio sismico del Vesuvio. Technical Report; Istituto Nazionale di Geofisica e Vulcanologia: Osservatorio Vesuviano, Italy, 2007.
[8]
Song, W.; Hu, X.; Pan, Y. Optimized Autonomous Space In-Situ Sensorweb, 2010; Sensorweb Research Laboratory, Georgia State University: Atlanta, GA, USA. Available online: http://sensorweb.cs.gsu.edu/?q=Oasis (accessed on 7 November 2013).
[9]
Huang, R.; Song, W.Z.; Xu, M.; Peterson, N.; Shirazi, B.; LaHusen, R. Real-world sensor network for long-term volcano monitoring: Design and findings. IEEE Trans. Parallel Distrib. Syst. 2012, 23, 321–329.
[10]
Werner-Allen, G.; Lorincz, K.; Johnson, J.; Lees, J.; Welsh, M. Fidelity and Yield in a Volcano Monitoring Sensor Network. Proceedings of the 7th Symposium on Operating Systems Design and Implementation, Seattle, WA, USA, 6–8 November 2006; pp. 381–396.
[11]
Song, W.; Huang, R.; Xu, M.; Ma, A.; Shirazi, B.; LaHusen, R. ACM. Air-Dropped Sensor Network for Real-Time High-Fidelity Volcano Monitoring. Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services, Wroclaw, Poland, 22–25 June 2009; pp. 305–318.
[12]
Berrocoso, M.; Prates, G.; Fernández-Ros, A.; García, A. Normal vector analysis from GNSS-GPS data applied to Deception Volcano surface deformation. Geophys. J. Int. 2012, 190, 1562–1570.
[13]
Torrecillas, C.; Berrocoso, M.; Felpeto, A.; Torrecillas, M.; García, A. Reconstructing palaeovolcanic geometries using a Geodynamic Regression Model (GRM): Application to Deception Island volcano (South Shetland Islands, Antarctica). Geomorphology 2012, 182, 79–88.
[14]
Prates, G.; Berrocoso, M.; Fernández-Ros, A.; García, A. Enhancement of sub-daily positioning solutions for surface deformation monitoring at Deception volcano (South Shetland Islands, Antarctica). Bull. Volcanol. 2013, 75, 1–10.
[15]
Vila, J.; Martí, J.; Ortiz, R.; García, A.; Correig, A.M. Volcanic tremors at Deception Island (South Shetland Islands, Antarctica). J. Volcanol. Geotherm. Res. 1992, 53, 89–102.
[16]
Ibá？ez, J.M.; Del Pezzo, E.; Almendros, J.; La Rocca, M.; Alguacil, G.; Ortiz, R.; García, A. Seismovolcanic signals at Deception Island volcano, Antarctica: Wave field analysis and source modeling. J. Geophys. Res. 2000, 105, 13905–13931.
[17]
Prates, G.; García, A.; Fernández-Ros, A.; Marrero, J.M.; Ortiz, R.; Berrocoso, M. Enhancement of sub-daily positioning solutions for surface deformation surveillance at El Hierro volcano (Canary Islands). Bull. Volcanol. 2013, 75, 1–9.
[18]
Garcia, A.; Berrocoso, M.; Marrero, J.M.; Fernandez-Ros, A.; Prates, G.; De la Cruz-Reyna, S.; Ortiz, R. Volcanic Alert System (VAS) developed during the (2011–2013) El Hierro (Canary Islands) volcanic process. Bull. Volcanol. 2013. in press.
[19]
Garcia, A.; Fernandez-Ros, A.; Marrero, J.M.; Berrocoso, M.; Prates, G.; De la Cruz-Reyna, S.; Ortiz, R. Magma displacements under insular volcanic fields, applications to eruption forecasting: El Hierro, Canary Islands. Geophys. J. Int. 2011–2013. in press.
[20]
Peci, L.M.; Berrocoso, M.; Páez, R.; Fernández-Ros, A.; de Gil, A. IESID: Automatic system for monitoring ground deformation on the Deception Island volcano (Antarctica). Comput. Geosci. 2012, 48, 126–133.
[21]
Xu, N.; Rangwala, S.; Chintalapudi, K.K.; Ganesan, D.; Broad, A.; Govindan, R.; Estrin, D. A Wireless Sensor Network for Structural Monitoring. Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (SenSys '04), Baltimore, MD, USA, 3–5 November 2004; pp. 13–24.
[22]
Peng, C.; Zhu, X.; Yang, J.; Xue, B.; Chen, Y. Development of an integrated onsite earthquake early warning system and test deployment in Zhaotong, China. Comput. Geosci. 2013, 56, 170–177.
[23]
Handbook for Volcanic Risk Management—Prevention, Crisis Management, Resilience [Online]; MIAVITA Project— European Commission under the 7th Framework Programme for Research and Technological Development: Orleans, France, 2012. (accessed on 1 June 2013). Available online: http://miavita.brgm.fr/Documents/Handbook-VolcRiskMgt-hr.pdf.
[24]
Voight, B. A method for prediction of volcanic eruptions. Nature 1998, 332, 125–130.
[25]
De la Cruz-Reyna, S.; Reyes-Dávila, G.A. A model to describe precursory material-failure phenomena: Applications to short-term forecasting at Colima volcano, Mexico. Bull. Volcanol. 2001, 63, 297–308.
[26]
Ortiz, R.; Moreno, H.; García, A.; Fuentealba, G.; Astiz, M.; Pe？a, P.; Sánchez, N.; Tárraga, M. Villarrica volcano (Chile): Characteristics of the volcanic tremor and forecasting of small explosions by means of a material failure method. J. Volcanol. Geotherm. Res. 2003, 128, 247–259.
[27]
Tárraga, M.; Carniel, R.; Ortiz, R.; García, A. The failure forecast method: Review and application for the real-time detection of precursory patterns at reawakening volcanoes. Dev. Volcanol. 2008, 10, 447–469.
[28]
Fearnley, C. Standardising the USGS Volcano Alert Level System: Acting in the Context of Risk, Uncertainty and Complexity. Ph.D. Dissertation, UCL (University College London), London, UK, 2011.
[29]
Fearnley, C.; McGuire, W.; Davies, G.; Twigg, J. Standardisation of the USGS Volcano Alert Level System (VALS): Analysis and ramifications. Bull. Volcanol. 2012, 74, 2023–2036.
[30]
Peng, Y.; Lahusen, R.; Shirazi, B.; Song, W. IET. Design of Smart Sensing Component for Volcano Monitoring. Proceedings of 2008 IET 4th International Conference on Intelligent Environments, St. Johns York University, York, UK, 21–22 July 2008; pp. 1–7.
[31]
Ortiz, R.; García, A.; Olmedillas, J.C.; Vila, J. Portable digital seismic array for volcano monitoring. Les Cahiers du Centre Europeen de Geodinamique et Seismologie 1991, 4, 269–276.
[32]
Almendros, J.; Iba？ez, J.; Alguacil, G.; Del Pezzo, E.; Ortiz, R. Array tracking of volcano tremor source at Deception Island, Antarctica. Geophys. Res. Lett. 1997, 24, 3069–3972.
[33]
Del Pezzo, E.; La Rocca, M.; Petrosino, S.; Grozea, B.; Maritato, L.; Saccorotti, G.; Simini, M.; Iba？ez, J.; Alguacil, G.; Carmona, E.; et al. Twin Digital Short Period Seismic Array Experiment at Stromboli Volcano. Technical Report; Istituto Nazionale di Geofisica e Vulcanologia: Osservatorio Vesuviano, Italy, 1998.
[34]
Nittel, S. A survey of geosensor networks: advances in dynamic environmental monitoring. Sensors 2009, 9, 5664–5678.
[35]
Acme Systems SRL. Available online: http://www.acmesystems.it/ (accessed on 25 November 2013).
[36]
Debian Operating System. Available online: http://www.debian.org/ (accessed on 25 November 2013).
[37]
Embedded Debian Project. Available online: http://www.emdebian.org/ (accessed on 25 November 2013).
[38]
TinyOS Open Source Operating System. Available online: http://www.tinyos.net/ (accessed on 25 November 2013).
[39]
Lantronix, Inc. Available online: http://www.lantronix.com/ (accessed on 25 November 2013).
[40]
Contiki Open Source Operating System. Available online: http://www.sics.se/contiki (accessed on 25 November 2013).
[41]
Dach, R.; Hugentobler, U.; Fridez, P.; Meindl, M. Bernese GNSS Software, Version 5.0; Astronomical Institute, University of Bern: Bern, Switzerland, 2007.
[42]
Beyreuther, M.; Barsch, R.; Krischer, L.; Megies, T.; Behr, Y.; Wassermann, J. ObsPy: A python toolbox for seismology. Seismol. Res. Lett. 2010, 81, 530–533.
[43]
Megies, T.; Beyreuther, M.; Barsch, R.; Krischer, L.; Wassermann, J. ObsPy—What can it do for data centers and observatories? Ann. Geophys. 2011, 54, 47–58.
[44]
Ottem？ller, L.; Voss, P.; Havskov, J. Seisan Earthquake Analysis Software for Windows, Solaris, Linux and Macosx [Online]; Department of Earth Science University: Bergen: Bergen, Norway, 2013. Available online: http://seisan.info (accessed on 1 June 2013).
[45]
Johnson, C.E.; Bittenbinder, A.; Bogaert, B.; Dietz, L.; Kohler, W. Earthworm: A flexible approach to seismic network processing. Iris Newsl. 1995, 14, 1–4.
[46]
Bhushan, B. Springer Handbook of Nanotechnology, 3rd ed. ed.; Springer: Heidelberg, Germany, 2010.
[47]
Sveinsson, J.; Gudmundsson, M.T.; Palsson, F. A Geothermally Driven Peltier Generator for Powering Instruments and Transmission Link from Vantajokull Glacier (Veggspjald). Proceedings of the Conference on Industrial Uses of Geothermal Energy, Reykjavík, Iceland, 2–4 September 1992.
[48]
Kernighan, B.W.; Ritchie, D.M. The ANSI C Programming Language, 2nd ed. ed.; Prentice Hall: Englewood Cliffs, NJ, USA, 1988.
[49]
Jones, E.; Oliphant, T.; Peterson, P. SciPy: Open Source Scientific Tools for Python, 2001. SciPy.org. Available online: http://www.scipy.org/ (accessed on 1 June 2013).
[50]
McKinney, W. Python for Data Analysis; O'Reilly Media, Incorporated: Sebastopol, CA, USA, 2012.
Flanagan, D. Java Examples in a Nutshell; O'Reilly Media: Sebastopol, CA, USA, 2009.
[53]
Gosling, J.; Joy, B.; Steele, G.; Bracha, G.; Buckley, A. The Java Language Specification, Java SE, 7th ed. ed.; Addison-Wesley Professional: Redwood City, CA, USA, 2013.
[54]
Pace Scientific Data Loggers and Sensors. Available online: http://www.pace-sci.com/ (accessed on 25 November 2013).
[55]
SM-6 Geophone. Available online: http://www.iongeo.com/content/includes/pdfs/SM6_121026.pdf (accessed on 2 December 2013).
[56]
International Association of Antarctica Tour Operators. Available online: http://iaato.org/es/tourism-statistics (accessed on 25 November 2013).
[57]
López, C.; Blanco, M.J.; Abella, R.; Brenes, B.; Cabrera, V.M.; Casas, B.; Domínguez, I.; Felpeto, A.; Fernández, M.; del Fresno, C.; et al. Monitoring the volcanic unrest of El Hierro (Canary Islands) before the onset of the 2011–2012 submarine eruption. Geophys. Res. Lett. 2012, 39, doi:10.1029/2012GL051846.
