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Mr. esli Castellanos
Universidad de Colima

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0 Enviroment
0 Internet
0 IoT
0 IEEE 802.15.4

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Journal article
Published: 14 September 2020 in Sensors
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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.

ACS Style

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 2020, 20, 5231 .

AMA Style

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. 2020; 20 (18):5231.

Chicago/Turabian Style

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. 2020. "Flash Flood Early Warning System in Colima, Mexico." Sensors 20, no. 18: 5231.

Journal article
Published: 02 January 2019 in Sensors
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Flooding is one of the most frequent and costly natural disasters affecting mankind. However, implementing Internet of Things (IoT) technology to monitor river behavior may help mitigate or prevent future disasters. This article outlines the hardware development of an IoT system (RiverCore) and defines an application scenario in a specific hydrological region of the state of Colima (Mexico), highlighting the characteristics of data acquisition and data processing used. Both fixed position and moving drifter node systems are described along with web-based data acquisition platform developments integrated with IoT techniques to retrieve data through 3G cellular networks. The developed architecture uses the Message Queuing Telemetry Transport (MQTT) protocol, along with encryption and security mechanisms, to send real-time data packages from fixed nodes to a server that stores retrieved data in a non-relational database. From this, data can be accessed and displayed through different customizable queries and graphical representations, allowing future use in flood analysis and prediction systems. All of these features are presented along with graphical evidence of the deployment of the different devices and of several cellular communication and on-site data acquisition tests.

ACS Style

Carlos Moreno; Raúl Aquino; José Ibarreche; Ismael Pérez; Esli Castellanos; Elisa Álvarez; Raúl Rentería; Luis Anguiano; Arthur Edwards; Paul Lepper; Robert M. Edwards; Ben Clark. RiverCore: IoT Device for River Water Level Monitoring over Cellular Communications. Sensors 2019, 19, 127 .

AMA Style

Carlos Moreno, Raúl Aquino, José Ibarreche, Ismael Pérez, Esli Castellanos, Elisa Álvarez, Raúl Rentería, Luis Anguiano, Arthur Edwards, Paul Lepper, Robert M. Edwards, Ben Clark. RiverCore: IoT Device for River Water Level Monitoring over Cellular Communications. Sensors. 2019; 19 (1):127.

Chicago/Turabian Style

Carlos Moreno; Raúl Aquino; José Ibarreche; Ismael Pérez; Esli Castellanos; Elisa Álvarez; Raúl Rentería; Luis Anguiano; Arthur Edwards; Paul Lepper; Robert M. Edwards; Ben Clark. 2019. "RiverCore: IoT Device for River Water Level Monitoring over Cellular Communications." Sensors 19, no. 1: 127.