Author(s): Yen-Cheng Lin; Hao-Che Ho

Linked Author(s):

Keywords: IoT; Mountain creeks; Hydrological measurement; Water and sediment observation

Abstract: In recent years, the frequency of floods and debris flows in the mountain areas of Taiwan has increased. These disasters are related to the characteristics of mountain creeks, which exhibit greater variability than rivers and are prone to rapid fluctuations in water flow, bank erosion, and sediment deposition. However, the limited resources and inconvenient transportation infrastructure make traditional hydrological measurements costly in mountain areas and expose people to significant risks. Comprehensive water and sediment monitoring is therefore imperative. This study utilizes the Internet of Things (IoT) technique combined with solar power systems to set up over 125 water and sediment monitoring stations in Taiwan's mountain areas. These stations monitor key parameters such as water levels, velocities, rainfall and turbidity to enhance the efficiency of disaster prevention decisions. Additionally, a water and sediment observation platform has been established in this study. The platform facilitates real-time monitoring of different hydrological variations in mountain creeks and records long-term historical data. The results demonstrate that using the IoT technique can capture essential parameters required for disaster management, such as the baseflow, sediment transport of mountain creeks, peak discharge, lag time and water level rise rates during the events. This enhances the capabilities of debris flow early warning systems, flood modeling and reservoir sediment management. Moreover, the advantages of real-time, digital, and low-cost monitoring increase the coverage of hydrological measurements in mountain areas, thereby improving disaster preparedne

DOI: https://doi.org/10.3929/ethz-b-000675921

Year: 2024