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.

城市洪水泛滥是世界许多地方的主要问题之一，其管理通常具有挑战性。水文学和相关社区所强调的挑战之一是需要更开放的数据和时空洪水监测。在本文中，我们介绍了基于物联网（IoT）的无线传感器网络的开发阶段和实验，该传感器网络用于墨西哥Colima-Villa deÁlvarez市区的水文气象数据收集和洪水监测。该网络旨在收集河流水位，土壤湿度和天气参数，这些参数使用3G和Wi-Fi网络上的IoT消息队列遥测传输协议实时传输到服务器和Web应用程序。该网络在2019年热带气旋季节期间科利马地区发生的三种热带风暴的不同事件中进行了测试。结果表明，在与热带风暴有关的极端事件中，智能水网络具有收集实时水文气象信息的能力。用于数据传输和采集的技术使在城市的关键时刻收集信息成为可能。此外，收集的数据为实施和校准水文模型和水力模型以生成洪水淹没图并确定关键基础设施提供了重要信息。结果表明，在与热带风暴有关的极端事件中，智能水网络具有收集实时水文气象信息的能力。用于数据传输和采集的技术使在城市的关键时刻收集信息成为可能。此外，收集的数据为实施和校准水文模型和水力模型以生成洪水淹没图并确定关键基础设施提供了重要信息。结果表明，在与热带风暴有关的极端事件中，智能水网络具有收集实时水文气象信息的能力。用于数据传输和采集的技术使在城市的关键时刻收集信息成为可能。此外，收集的数据为实施和校准水文模型和水力模型以生成洪水淹没图并确定关键基础设施提供了重要信息。