Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico
| Autor: | P. Rincón-Avalos, Ian Pattison, E. Castellanos-Berjan, Víctor Rangel-Licea, Abdou Khouakhi, A. Gutiérrez-Gómez, Ismael Pérez, J. López-De la Cruz, Raul Aquino-Santos, Oliver Mendoza-Cano, M. A. Martinez-Preciado, José Ibarreche, J. M. Uribe-Ramos, Paul A. Lepper, Robert M. Edwards |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences early warning systems Information technology 010501 environmental sciences Urban area Environmental technology. Sanitary engineering 01 natural sciences Critical infrastructure flooding Hydrometeorology tropical storms TD1-1066 0105 earth and related environmental sciences Civil and Structural Engineering Water Science and Technology geography geography.geographical_feature_category Data collection Flood myth business.industry Environmental resource management T58.5-58.64 Geotechnical Engineering and Engineering Geology Flooding (computer networking) digital water network Environmental science business Wireless sensor network Message queue |
| Zdroj: | Journal of Hydroinformatics, Vol 23, Iss 3, Pp 385-401 (2021) |
| Popis: | Urban flooding is one of the major issues in many parts of the world, and its management is often challenging. One of the challenges highlighted by the hydrology and related communities is the need for more open data and monitoring of floods in space and time. In this paper, we present the development phases and experiments of an Internet of Things (IoT)-based wireless sensor network for hydrometeorological data collection and flood monitoring for the urban area of Colima-Villa de Álvarez in Mexico. The network is designed to collect fluvial water level, soil moisture and weather parameters that are transferred to the server and to a web application in real-time using IoT Message Queuing Telemetry Transport protocol over 3G and Wi-Fi networks. The network is tested during three different events of tropical storms that occurred over the area of Colima during the 2019 tropical cyclones season. The results show the ability of the smart water network to collect real-time hydrometeorological information during extreme events associated with tropical storms. The technology used for data transmission and acquisition made it possible to collect information at critical times for the city. Additionally, the data collected provided essential information for implementing and calibrating hydrological models and hydraulic models to generate flood inundation maps and identify critical infrastructure. HIGHLIGHTS IoT-based wireless sensor network for hydrometeorological data collection and flood monitoring has been developed for Colima-Villa de Álvarez in Mexico.; Real-time data is transferred over 3G cellular network and Wi-Fi.; Tests of the network on three separate tropical storm events showed robustness of the network during extreme events. |
| Databáze: | OpenAIRE |
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