SIRENE: A Spatial Data Infrastructure to Enhance Communities’ Resilience to Disaster-Related Emergency

Simone Sterlacchini; Gloria Bordogna; Giacomo Cappellini; Debora Voltolina

doi:10.1007/s13753-018-0160-2

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Article Navigation > International Journal of Disaster Risk Science > 2018 > 9(1): 129-142

Simone Sterlacchini, Gloria Bordogna, Giacomo Cappellini, Debora Voltolina. SIRENE: A Spatial Data Infrastructure to Enhance Communities’ Resilience to Disaster-Related Emergency[J]. International Journal of Disaster Risk Science, 2018, 9(1): 129-142. doi: 10.1007/s13753-018-0160-2

Citation:

Simone Sterlacchini, Gloria Bordogna, Giacomo Cappellini, Debora Voltolina. SIRENE: A Spatial Data Infrastructure to Enhance Communities’ Resilience to Disaster-Related Emergency[J]. International Journal of Disaster Risk Science, 2018, 9(1): 129-142. doi: 10.1007/s13753-018-0160-2

Citation:

Simone Sterlacchini, Gloria Bordogna, Giacomo Cappellini, Debora Voltolina. SIRENE: A Spatial Data Infrastructure to Enhance Communities’ Resilience to Disaster-Related Emergency[J]. International Journal of Disaster Risk Science, 2018, 9(1): 129-142. doi: 10.1007/s13753-018-0160-2

PDF

SIRENE: A Spatial Data Infrastructure to Enhance Communities’ Resilience to Disaster-Related Emergency

doi: 10.1007/s13753-018-0160-2

1 Institute for the Dynamics of Environmental Processes-National Research Council of Italy(CNR-IDPA), 1-20126 Milan, Italy;
2 Institute for Electromagnetic Sensing of the Environment-National Research Council of Italy(CNR-IREA), 15-20133 Milan, Italy

Funds:

This work has been carried out within the project: SIMULATOR—Sistema Integrato ModULAre per la gesTione e prevenziOne dei Rischi—Integrated Modular System for Risk Prevention and Management, financed by the Lombardy regional government, Italy. The authors would like to thank the anonymous reviewer for the valuable comments aimed to improve the manuscript.

Available Online: 2021-04-26

Abstract

Abstract

Planning in advance to prepare for and respond to a natural hazard-induced disaster-related emergency is a key action that allows decision makers to mitigate unexpected impacts and potential damage. To further this aim, a collaborative, modular, and information and communications technology-based Spatial Data Infrastructure (SDI) called SIRENE—Sistema Informativo per la Preparazione e la Risposta alle Emergenze (Information System for Emergency Preparedness and Response) is designed and implemented to access and share, over the Internet, relevant multisource and distributed geospatial data to support decision makers in reducing disaster risks. SIRENE flexibly searches and retrieves strategic information from local and/or remote repositories to cope with different emergency phases. The system collects, queries, and analyzes geographic information provided voluntarily by observers directly in the field (volunteered geographic information (VGI) reports) to identify potentially critical environmental conditions. SIRENE can visualize and cross-validate institutional and research-based data against VGI reports, as well as provide disaster managers with a decision support system able to suggest the mode and timing of intervention, before and in the aftermath of different types of emergencies, on the basis of the available information and in agreement with the laws in force at the national and regional levels. Testing installations of SIRENE have been deployed in 18 hilly or mountain municipalities (12 located in the Italian Central Alps of northern Italy, and six in the Umbria region of central Italy), which have been affected by natural hazard-induced disasters over the past years (landslides, debris flows, floods, and wildfire) and experienced significant social and economic losses.
- Data retrieval,
- Decision support system,
- Disaster management,
- Italy,
- Spatial data infrastructure,
- Susceptibility/hazard and risk maps,
- Volunteered geographic information

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References(31)

References

AGORA Project. 2016. A geospatial open collaborative architecture for building resilience against disasters and extreme events. http://www.agora.icmc.usp.br/site/agora/. Accessed 17 Dec 2017.

Arcaini, P., G. Bordogna, and S. Sterlacchini. 2013. Flexible querying of volunteered geographic information for risk management. In Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13), ed. J. Montero, G., Pasi, and D. Ciucci, 281–288. Paris: Atlantis Press.

Arcaini, P., G. Bordogna, D. Ienco, and S. Sterlacchini. 2016. User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks. Information Sciences 340–341: 122–123.

Blahut, J., T. Glade, and S. Sterlacchini. 2014. Debris flows risk analysis and direct loss estimation: The case study of Valtellina di Tirano, Italy. Journal of Mountain Science 11(2): 288–307.

Bordogna, G., and G. Psaila. 2004. Fuzzy-spatial SQL. In Flexible query answering systems, ed. H. Christiansen, M.S. Hacid, T. Andreasen, and H.L. Larsen, 307–319. Berlin: Springer.

Bordogna, G., T. Kliment, L. Frigerio, P.A. Brivio, A. Crema, D. Stroppiana, M. Boschetti, and S. Sterlacchini. 2016. A spatial data infrastructure integrating multisource heterogeneous geospatial data and time series: A study case in agriculture. ISPRS International Journal of Geo-Information 5(5): Article 73.

Camponovo, M.E., and S.M. Freundschuh. 2014. Assessing uncertainty in VGI for emergency response. Cartography and Geographic Information Science 41(5): 440–455.

Craglia, M., F. Ostermann, and L. Spinsanti. 2012. Digital Earth from vision to practice: Making sense of citizen-generated content. International Journal of Digital Earth 5(5): 398–416.

DECIDE (Decision Support System For Disaster Emergency Management). 2015. Decision support systems characteristics and best practices report. http://www.decide-project.eu/. Accessed 17 Dec 2017.

Devillers, R., and R. Jeansoulind. 2006. Fundamentals of spatial data quality. London: ISTE.

European Union. 1999. Council decision of 9 December 1999 establishing a community action programme in the field of civil protection, 1999/847/EC OJ L327/53. http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX: 31999D0847&from = EN. Accessed 17 Dec 2017.

European Union. 2005. Council decision of 20 December 2004 amending decision 1999/847/EC as regards the extension of the community action programme in the field of civil protection, 2005/12/EC OJ L6/7. http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX: 32005D0012&from = EN. Accessed 17 Dec 2017.

Galindo, J. 2008. Handbook of research on fuzzy information processing in databases. Hershey, PA: IGI Global.

Goodchild, M.F. 2007. Citizens as sensors: The world of volunteered geography. GeoJournal 69(4): 211–221.

Goodchild, M.F., and L. Li. 2012. Assuring the quality of volunteered geographic information. Spatial Statistics 1: 110–120.

Haklay, M. 2013. Citizen science and VGI: Overview and typology of participation. In Crowdsourcing geographic knowledge: Volunteered geographic information (VGI) theory and practice, ed. D.Z. Sui, S. Elwood, and M.F. Goodchild, 105–125. New York: Springer.

Herfort, B., M. Eckle, and J.P. de Albuquerque. 2016. Being specific about geographic information crowdsourcing: A typology and analysis of the Missing Maps project in South Kivu. In Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management, Rio de Janeiro, Brazil, 22–25 May 2016, ed. A.H. Tapia, P. Antunes, V.A. Bañuls, K. Moore, and J. Porto de Albuquerque. Information Systems for Crisis Response and Management (ISCRAM) Digital Library.

Horita, F.E.A., J.P. de Albuquerque, L.C. Degrossi, E.M. Mendiondo, and J. Ueyama. 2015. Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks. Computers & Geosciences 80: 84–94.

Klonner, C., S. Marx, T. Usón, J.P. de Albuquerque, and B. Höfle. 2016. Volunteered geographic information in natural hazard analysis: A systematic literature review of current approaches with a focus on preparedness and mitigation. ISPRS International Journal of Geo-Information 5: Article 103.

INSPIRE (Infrastructure for Spatial Information in the European Community). 2007. Directive 2007/2/EC of the European Parliament and of the Council of 14 March establishing an infrastructure for spatial information in the European Community (INSPIRE). Official Journal of the European Union, 2007, L 108/1, 50.

Manfré, L.A., E. Hirata, J.B. Silva, E.J. Shinohara, M.A. Giannotti, A.P.C. Larocca, and J.A. Quintanilha. 2012. An analysis of geospatial technologies for risk and natural disaster management. ISPRS International Journal of Geo-Information 1(2): 166–185.

Miyazaki, H., M. Nagai, and R. Shibasaki. 2015. Reviews of geospatial information technology and collaborative data delivery for disaster risk management. ISPRS International Journal of Geo-Information 4(4): 1936–1964.

Murata, T. 1989. Petri nets: Properties, analysis and applications. In Proceedings of the IEEE 77(4): 541–580.

Sahana Software Foundation. 2015. Open source disaster management software. http://sahanafoundation.org/. Accessed 14 Nov 2016.

Schade, S., G. Luraschi, B. De Longueville, S. Cox, and L. Díaz. 2010. Citizens as sensors for crisis events: Sensor Web enablement for volunteered geographic information. In Proceedings of WebMGS 2010—1st International Workshop on Pervasive Web Mapping, Geoprocessing and Services, ed. M.A. Brovelli, S. Dragicevic, S. Li, and B. Veenendaal. ISPRS—International Society for Photogrammetry and Remote Sensing.

Shan, S., L. Wang, L. Li, and Y. Chen. 2012. An emergency response decision support system framework for application in e-government. Information Technology and Management 13(4): 411–427.

Sokolova, M., A. Fernández-Caballero, and F. Gómez. 2011. A review on frameworks for decision support systems for environmental domains. Revista EIDOS 4: 74–83.

UNISDR (United Nations International Strategy for Disaster Reduction). 2005. Hyogo framework for action 2005–2015. https://www.unisdr.org/we/coordinate/hfa. Accessed 24 Nov 2017.

UNISDR (United Nations International Strategy for Disaster Reduction). 2015. Sendai framework for disaster risk reduction 2015–2030. http://www.unisdr.org/we/coordinate/sendai-framework. Accessed 17 Dec 2017.

Ushahidi. 2015. Web site. http://www.ushahidi.com/. Accessed 17 Dec 2017.

Zhao, P., T. Foerster, and P. Yue. 2012. The geoprocessing web. Computers & Geosciences 47: 3–12.

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