Dataset Supporting "Participatory design of an early warning system few floods in mountain basins for river and community protection: Case study of El Asilo stream"

This dataset contains measurements from an ultrasonic level sensor deployed in a water monitoring station as part of a research project focused on flood risk management. The data includes three key variables: water level (measured by the ultrasonic sensor), temperature, and timestamp. The dataset is structured chronologically, providing continuous monitoring data that can be used to analyze variations in water level and temperature over time. These measurements are critical for understanding hydrological behavior and validating the early warning system developed for the El Asilo stream in La Calera, Colombia. This dataset supports the study of environmental risks and the application of IoT-based monitoring systems in watershed management.

本数据集收录了部署于水文监测站的超声波液位传感器的实测数据，该数据系一项聚焦洪水风险管理的科研项目的组成部分。数据集包含三项核心变量：由超声波传感器测得的水位、水温以及时间戳。本数据集按时间顺序进行结构化组织，提供连续监测数据，可用于分析水位与水温随时间的变化规律。上述实测数据对于理解流域水文行为，以及验证为哥伦比亚拉卡莱拉市埃尔阿西洛溪开发的早期预警系统至关重要。本数据集可支撑流域管理中的环境风险研究，以及基于物联网（Internet of Things, IoT）的监测系统的应用研究。