TY - JOUR
T1 - Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico
AU - Mendoza-Cano, O.
AU - Aquino-Santos, R.
AU - López-De la Cruz, J.
AU - Edwards, Robert M.
AU - Khouakhi, A.
AU - Pattison, I.
AU - Rangel-Licea, V.
AU - Castellanos-Berjan, E.
AU - Martinez-Preciado, M. A.
AU - Rincón-Avalos, P.
AU - Lepper, P.
AU - Gutiérrez-Gómez, A.
AU - Uribe-Ramos, J. M.
AU - Ibarreche, J.
AU - Perez, I.
N1 - Funding Information:
This research was funded by the Engineering and Physical Sciences Research Council (EPSRC), EP/P029221/1. We thank the two anonymous reviewers for their suggestions and comments, which were very helpful in improving the paper. We thank the local water commission for providing help and support with the deployment of the sensor systems. We also thank the municipalities of Colima and Villa de Álvarez for granting permits for the installation of the sensors and support for their care.
Publisher Copyright:
© 2021 The Authors Journal of Hydroinformatics
PY - 2021/5/1
Y1 - 2021/5/1
N2 - 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.
AB - 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.
KW - Digital water network
KW - Early warning systems
KW - Flooding
KW - Tropical storms
UR - http://www.scopus.com/inward/record.url?scp=85108173873&partnerID=8YFLogxK
U2 - 10.2166/HYDRO.2021.126
DO - 10.2166/HYDRO.2021.126
M3 - Article
AN - SCOPUS:85108173873
SN - 1464-7141
VL - 23
SP - 385
EP - 401
JO - Journal of Hydroinformatics
JF - Journal of Hydroinformatics
IS - 3
ER -