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Earthquake’s Rubble Heaps Volume Evaluation: Expeditious Approach Through Earth Observation and Geomatics Techniques

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

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Abstract

When an earthquake of a certain magnitude hit a populated zone, a huge amount of data have to be collected in order to address the typical hazard and emergency actions for rescue, assistance, viability, etc. In this paper we concentrate our attention on a particular dataset used to estimate the amount (and location) of rubbles generated by partial or total collapse of buildings/structures, which strongly influences the consequent environmental hazard and reconstruction phase. Despite this information is particularly valuable for optimizing the emergence response, for example by improving the management of their prompt removal, there are not many methods to estimate the amount of the rubbles in terms of volume/weight. Here, a procedure to estimate the volume of rubble heaps through earth observation data and Geomatics techniques is presented and preliminary results discussed.

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Notes

  1. 1.

    http://www.pcn.minambiente.it/geoportal/catalog/search/resource/details.page?uuid=%7BB8A39D4E-D7DF-4621-9318-4EEE3B1511CF%7D (Source: Italian National Geoportal).

  2. 2.

    http://emergency.copernicus.eu/mapping/list-of-components/EMSR177.

  3. 3.

    Zonal Statistics To Polygon Attributes: this ERDAS Imagine (by Hexagon Geospatial) operator extracts the zonal statistics of the background image of a vector feature layer and save them as vector attributes.

References

  1. United States Environmental Protection Agency: Household Hazardous Waste Management: A Manual for One-Day Community Collection Programs. EPA530-R-92-026, Washington, D.C., August 1993

    Google Scholar 

  2. Lund, H.F.: Household Hazardous Wastes. The McGraw-Hill Recycling Handbook (1993)

    Google Scholar 

  3. Memon, M.A.: Disaster waste recovery and utilization in developing countries-Learning from earthquakes in Nepal. In: 15th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2015: New Innovations and Sustainability, pp. 143–147 (2015)

    Google Scholar 

  4. Talbot, B.G., Talbot, L.M.: Fast-responder: Mobile access to remote sensing for disaster response. Photogramm. Eng. Remote Sens. 79(10), 945–954 (2013)

    Article  Google Scholar 

  5. Amatrice, Norcia, Visso Seismic Sequence, INGV. http://terremoti.ingv.it/it/ultimi-eventi/1023-sequenza-sismica-in-italia-centrale-aggiornamenti.html. Last access: 28 Mar 2017. (In Italian)

  6. Pizzi, A., Galadini, F.: Pre-existing cross-structures and active fault segmentation in the northern-central Apennines (Italy). Tectonophysics 476, 304–319 (2009). doi:10.1016/j.tecto.2009.03.018

    Article  Google Scholar 

  7. Coltorti, M., Farabollini, P.: Quaternary evolution of the Castelluccio di Norcia Basin (Umbria-Marchean Apennines, Italy). Il Quaternario 8, 149–166 (1995)

    Google Scholar 

  8. King, G.C.P.: Speculations on the geometry of the initiation and termination processes of earthquake rupture and its relation to morphology and geological structure. Pure Appl. Geophys. 124(3), 567–585 (1986)

    Article  Google Scholar 

  9. Hernandez, B., Cocco, M., Cotton, F., Stramondo, S., Scotti, O., Courboulex, F., Campillo, M.: Rupture history of the 1997 Umbria-Marche (Central Italy) main shocks from the inversion of GPS, DInSAR and near field strong motion data. Ann. Geophys. 47, 1355–1376 (2004)

    Google Scholar 

  10. Valensise, G., Pantosti, D.: The investigation of potential earthquake sources in peninsular Italy: a review. J. Seismol., 5287–5306 (2001)

    Google Scholar 

  11. Calamita, F., Pizzi, A.: Tettonica quaternaria nella dorsal appenniniica umbro-marchigiana e bacini intrappenninici associate. Studi Geologici Camerti, SI, 17–25 (1992)

    Google Scholar 

  12. Cacciuni, A., Centamore, E., Di Stefano, R., Dramis, F.: Evoluzione morfotettonica della conca di Amatrice. Studi Geologici Camerti 2, 95–100 (1995)

    Google Scholar 

  13. Copernicus Emergency Management Service (EMS). http://emergency.copernicus.eu/

  14. Pollino, M., Modica, G.: Free web mapping tools to characterize landscape dynamics and to favor e-participation computational science and its applications. In: Murgante, B., et al. (eds.) ICCSA 2013, LNCS 7973, Part III, 566–581. Springer, Heidelberg (2013)

    Google Scholar 

  15. Modica, G., Pollino, M., Lanucara, S., Porta, L., Pellicone, G., Fazio, S., Fichera, C.R.: Land suitability evaluation for agro-forestry: definition of a web-based multi-criteria spatial decision support system (MC-SDSS): preliminary results. In: Gervasi, O., et al. (eds.) ICCSA 2016. LNCS, vol. 9788, pp. 399–413. Springer, Cham (2016). doi:10.1007/978-3-319-42111-7_31

    Chapter  Google Scholar 

  16. Steiniger, S., Hunter, A.J.S.: Free and open source GIS software for building a spatial data infrastructure. In: Bocher, E., Neteler, M. (eds.) Geospatial Free and Open Source Software in the 21st Century, pp. 247–261. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  17. Modica, G., Laudari, L., Barreca, F., Fichera, C.R.: A GIS-MCDA based model for the suitability evaluation of traditional grape varieties: the case-study of ‘mantonico’ grape (Calabria, Italy). IJAEIS 5(3), 1–16 (2014)

    Google Scholar 

  18. PostgreSQL with PostGIS extension. http://postgis.net

  19. Geoserver. http://geoserver.org/

  20. GeoPlatform by geoSDI. https://github.com/geosdi/geo-platform

  21. Pollino, M., Caiaffa, E., Carillo, A., Porta, L., Sannino, G.: Wave energy potential in the mediterranean sea: design and development of DSS-WebGIS “waves energy”. In: Gervasi, O., Murgante, B., Misra, S., Gavrilova, Marina L., Rocha, A.M.A.C., Torre, C., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2015. LNCS, vol. 9157, pp. 495–510. Springer, Cham (2015). doi:10.1007/978-3-319-21470-2_36

    Chapter  Google Scholar 

  22. CNR-ITC, C.N.VV.FF.: Sisma Abruzzo 6 Aprile 2009 - Stima quantificazione macerie, Activity Report (2010). (In Italian)

    Google Scholar 

  23. Marghella, G., Marzo, A., Moretti, L., Indirli, M.: Uso del GIS per il Piano di Ricostruzione di Arsita (TE). In: ANIDIS 2013 – XV Convegno (2013). (In Italian)

    Google Scholar 

  24. Modica, G., Zoccali, P., Fazio, S.: The e-participation in tranquillity areas identification as a key factor for sustainable landscape planning. In: Murgante, B., Misra, S., Carlini, M., Torre, C.M., Nguyen, H.-Q., Taniar, D., Apduhan, B.O., Gervasi, O. (eds.) ICCSA 2013. LNCS, vol. 7973, pp. 550–565. Springer, Heidelberg (2013). doi:10.1007/978-3-642-39646-5_40

    Chapter  Google Scholar 

  25. Fichera, C.R., Modica, G., Pollino, M.: Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics. Eur. J. Remote Sens. 45, 1–18 (2012)

    Article  Google Scholar 

  26. European Flood Awareness System (EFAS). https://www.efas.eu/

  27. European Forest Fire Information System (EFFIS). http://effis.jrc.ec.europa.eu/

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Acknowledgments

The present research has been funded by ENEA and requested by DPC. EO data were provided under COPERNICUS by European Union and ESA. Thanks to Eng. F. Campopiano, P. Marsan and P. Pagliara of National Civil Protection for the fruitful discussion and suggestions and to all staff involved during the emergency action. ENEA is not responsible for any use, even partial, of the contents of this document by third parties and any damage caused to third parties resulting from its use. The data contained in this document is the property of ENEA.

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Authors and Affiliations

  1. ENEA - Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Roma, Italy

    Sergio Cappucci, Luigi De Cecco, Fabio Gemerei, Ludovica Giordano, Lorenzo Moretti, Alessandro Peloso, Maurizio Pollino & Riccardo Scipinotti

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  1. Sergio Cappucci
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  2. Luigi De Cecco
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  3. Fabio Gemerei
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  4. Ludovica Giordano
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  5. Lorenzo Moretti
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  6. Alessandro Peloso
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  7. Maurizio Pollino
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  8. Riccardo Scipinotti
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Corresponding author

Correspondence to Sergio Cappucci .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Cappucci, S. et al. (2017). Earthquake’s Rubble Heaps Volume Evaluation: Expeditious Approach Through Earth Observation and Geomatics Techniques. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10405. Springer, Cham. https://doi.org/10.1007/978-3-319-62395-5_19

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  • DOI: https://doi.org/10.1007/978-3-319-62395-5_19

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