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WATERSensing: A Smart Warning System for Natural Disasters in Spain

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WATERSensing: A Smart Warning System for Natural Disasters in Spain

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dc.contributor.author Cecilia-Canales, José María es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.contributor.author Periñán-Pascual, Carlos es_ES
dc.contributor.author Arcas-Túnez, Francisco es_ES
dc.contributor.author Muñoz-Ortega, Andrés es_ES
dc.date.accessioned 2022-07-26T18:07:18Z
dc.date.available 2022-07-26T18:07:18Z
dc.date.issued 2021-11-01 es_ES
dc.identifier.issn 2162-2248 es_ES
dc.identifier.uri http://hdl.handle.net/10251/184797
dc.description.abstract [EN] Floods are expected to increase in the coming years due to global warming. The early identification of water-based disasters can be lifesaving, and the challenge is to identify appropriate and timely warning measures. Social-media tools such as Twitter provide citizens with a real-time communication channel for reporting problems related to our environment, which allows humans to act as social sensors. In this article, we show the main results and lessons learned from the research project WATERoT, funded by the Spanish government. In this project, we designed a social sensing application (called WATERSensing) for the prevention and evaluation of water-related disasters with the participation of individuals through social networks. This tool crawls microtexts from different social networks such as Twitter, RSS feeds, or Telegram, which are analyzed with natural language processing techniques. A case study of Storm Gloria, a Mediterranean storm that heavily affected eastern Spain in January 2020, is presented to evidence that the system can correlate data from social media with actual events. We demonstrate that the analysis of different sources of information opens up new opportunities in the development of warning systems for the prevention, early identification, and management of natural disasters. es_ES
dc.description.sponsorship This work was supported in part by the Spanish Ministry of Science and Innovation under Grant RYC2018-025580-I, Grant RTI2018-096384-B-I00, Grant RTC-2017-6389-5, and Grant RTC2019007159-5; in part by the Fundacion Seneca del Centro de Coordinacion de la Investigacion de la Region de Murcia under Project 20813/PI/18; and in part by the European Union's Horizon 2020 Research and Innovation Programme under Grant 101017861. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Consumer Electronics Magazine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Social networking es_ES
dc.subject Blogs es_ES
dc.subject Sensors es_ES
dc.subject Real-time systems es_ES
dc.subject Consumer electronics es_ES
dc.subject Manganese es_ES
dc.subject Tools es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.subject.classification FILOLOGIA INGLESA es_ES
dc.title WATERSensing: A Smart Warning System for Natural Disasters in Spain es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/MCE.2021.3063703 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/f SéNeCa//20813%2FPI%2F18/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101017861/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//RTC-2017-6389-5-AR//PLANIFICACIÓN Y GESTIÓN DE RECURSOS HÍDRICOS A PARTIR DE ANÁLISIS DE DATOS DE IOT/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//RYC2018-025580-I//AYUDA CONTRATO RAMON Y CAJAL-CECILIA CANALES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//RTC2019-007159-5//DESARROLLO DE INFRAESTRUCTURAS IOT DE ALTAS PRESTACIONES CONTRA EL CAMBIO CLIMÁTICO BASADAS EN INTELIGENCIA ARTIFICIAL/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Lingüística Aplicada - Departament de Lingüística Aplicada es_ES
dc.description.bibliographicCitation Cecilia-Canales, JM.; Cano, J.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P.; Periñán-Pascual, C.; Arcas-Túnez, F.; Muñoz-Ortega, A. (2021). WATERSensing: A Smart Warning System for Natural Disasters in Spain. IEEE Consumer Electronics Magazine. 10(6):89-96. https://doi.org/10.1109/MCE.2021.3063703 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/MCE.2021.3063703 es_ES
dc.description.upvformatpinicio 89 es_ES
dc.description.upvformatpfin 96 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 6 es_ES
dc.relation.pasarela S\447189 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia es_ES
dc.subject.ods 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos es_ES


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