Flash Flood Early Warning System in Colima, Mexico
This paper presents a system of sensors used in flash flood prediction that offers critical real-time information used to provide early warnings that can provide the minutes needed for persons to evacuate before imminent events. Flooding is one of the most serious natural disasters humans confront i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/18/5231 |
| _version_ | 1827706282578018304 |
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| author | José Ibarreche Raúl Aquino R. M. Edwards Víctor Rangel Ismael Pérez Miguel Martínez Esli Castellanos Elisa Álvarez Saul Jimenez Raúl Rentería Arthur Edwards Omar Álvarez |
| author_facet | José Ibarreche Raúl Aquino R. M. Edwards Víctor Rangel Ismael Pérez Miguel Martínez Esli Castellanos Elisa Álvarez Saul Jimenez Raúl Rentería Arthur Edwards Omar Álvarez |
| author_sort | José Ibarreche |
| collection | DOAJ |
| description | This paper presents a system of sensors used in flash flood prediction that offers critical real-time information used to provide early warnings that can provide the minutes needed for persons to evacuate before imminent events. Flooding is one of the most serious natural disasters humans confront in terms of loss of life and results in long-term effects, which often have severely adverse social consequences. However, flash floods are potentially more dangerous to life because there is often little or no forewarning of the impending disaster. The Emergency Water Information Network (EWIN) offers a solution that integrates an early warning system, notifications, and real-time monitoring of flash flood risks. The platform has been implemented in Colima, Mexico covering the Colima and Villa de Alvarez metropolitan area. This platform consists of eight fixed riverside hydrological monitoring stations, eight meteorological stations, nomadic mobile monitoring stations called “drifters” used in the flow, and a sniffer with data muling capability. The results show that this platform effectively compiles and forwards information to decision-makers, government officials, and the general public, potentially providing valuable minutes for people to evacuate dangerous areas. |
| first_indexed | 2024-03-10T16:21:18Z |
| format | Article |
| id | doaj.art-2dbab6451c324fb2a6d8a3e175e483e1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:21:18Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2dbab6451c324fb2a6d8a3e175e483e12023-11-20T13:38:03ZengMDPI AGSensors1424-82202020-09-012018523110.3390/s20185231Flash Flood Early Warning System in Colima, MexicoJosé Ibarreche0Raúl Aquino1R. M. Edwards2Víctor Rangel3Ismael Pérez4Miguel Martínez5Esli Castellanos6Elisa Álvarez7Saul Jimenez8Raúl Rentería9Arthur Edwards10Omar Álvarez11Faculty of Telematics, University of Colima, 333 University Avenue, Colima C.P. 28045, MexicoFaculty of Telematics, University of Colima, 333 University Avenue, Colima C.P. 28045, MexicoSchool of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Wolfson Building, Ashby Rd, Loughborough LE11 3TU, UKUNAM, Ciudad Universitaria, Mexico City D.F. 04510, MexicoFaculty of Telematics, University of Colima, 333 University Avenue, Colima C.P. 28045, MexicoFaculty of Civil Engineering, Carretera Colima-Coquimatlán km 8.5, Coquimatlán C.P. 28400, Colima, MexicoFaculty of Telematics, University of Colima, 333 University Avenue, Colima C.P. 28045, MexicoFaculty of Telematics, University of Colima, 333 University Avenue, Colima C.P. 28045, MexicoCorporativo STR S.A. de C.V., 111 Canario Street, Colima C.P. 28017, MexicoTairda S.A. de C.V., 111-B Canario Street, Colima C.P. 28017, MexicoFaculty of Telematics, University of Colima, 333 University Avenue, Colima C.P. 28045, MexicoFaculty of Telematics, University of Colima, 333 University Avenue, Colima C.P. 28045, MexicoThis paper presents a system of sensors used in flash flood prediction that offers critical real-time information used to provide early warnings that can provide the minutes needed for persons to evacuate before imminent events. Flooding is one of the most serious natural disasters humans confront in terms of loss of life and results in long-term effects, which often have severely adverse social consequences. However, flash floods are potentially more dangerous to life because there is often little or no forewarning of the impending disaster. The Emergency Water Information Network (EWIN) offers a solution that integrates an early warning system, notifications, and real-time monitoring of flash flood risks. The platform has been implemented in Colima, Mexico covering the Colima and Villa de Alvarez metropolitan area. This platform consists of eight fixed riverside hydrological monitoring stations, eight meteorological stations, nomadic mobile monitoring stations called “drifters” used in the flow, and a sniffer with data muling capability. The results show that this platform effectively compiles and forwards information to decision-makers, government officials, and the general public, potentially providing valuable minutes for people to evacuate dangerous areas.https://www.mdpi.com/1424-8220/20/18/5231real-time early warningflash floodinginternet of things |
| spellingShingle | José Ibarreche Raúl Aquino R. M. Edwards Víctor Rangel Ismael Pérez Miguel Martínez Esli Castellanos Elisa Álvarez Saul Jimenez Raúl Rentería Arthur Edwards Omar Álvarez Flash Flood Early Warning System in Colima, Mexico Sensors real-time early warning flash flooding internet of things |
| title | Flash Flood Early Warning System in Colima, Mexico |
| title_full | Flash Flood Early Warning System in Colima, Mexico |
| title_fullStr | Flash Flood Early Warning System in Colima, Mexico |
| title_full_unstemmed | Flash Flood Early Warning System in Colima, Mexico |
| title_short | Flash Flood Early Warning System in Colima, Mexico |
| title_sort | flash flood early warning system in colima mexico |
| topic | real-time early warning flash flooding internet of things |
| url | https://www.mdpi.com/1424-8220/20/18/5231 |
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