Integrating UAV mapping technologies for public bridges flood prevention and early warning mechanism

• Main Authors: Yu-Mei Jian, 簡瑜玫
• Other Authors: Jen-Yu Han
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/w8d399

碩士 === 國立臺灣大學 === 土木工程學研究所 === 106 === The implementation of flood prevention and early warning mechanism in public bridges developed by Directorate General of Highways (DGH) has significant impacts on reducing disaster and protecting human life and property effectively. However, the current mechanism adopts historical disaster-affected rainfall as a basis to set up the rainfall threshold observation at each station, which could result in large uncertainties in some circumstances. In this study, UAV mapping technologies was proposed to acquire realistic 3D river terrain information. Then multi-scale spatial information and the hydrological model were successfully integrated for estimating the river water level in a more rigorous manner. By predicting accurately the water level at the cross section of the river where the bridge is located, it can offer additional time for the early warning and deal with emergency management. To validate the proposed approach, a real case study at ShangGuishan Bridge was performed and evaluated. The results illustrate that in the case of heavy rainfall situation, the predicted water level reached the uncertainty level within +/- 1 meter. It gives an evidence that the proposed approach can provide supporting information for the early warning mechanism in public bridges.