Short term output prediction method of runoff type medium and small hydropower stations

Ye, Hangbiao; Huang, Jinke; Li, Jun; Zhu, Zhe

doi:10.1109/ceect55960.2022.10030281

Cited by 3 publications

(1 citation statement)

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“…Hydropower stations are important livelihood projects that capture water flow to generate electricity in an environmentally friendly way [1,2]. They also play a role in regulating water levels and flows, rendering them essential for energy supply and economic development purposes [3,4]. In the design and construction process of hydropower stations, high-precision terrain data are particularly important [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A High-Precision Modeling and Error Analysis Method for Mountainous and Canyon Areas Based on TLS and UAV Photogrammetry

Luo,

Jiang,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Obtaining comprehensive and accurate terrain data is important for engineering construction. Unmanned aerial vehicle (UAV) photogrammetry and terrestrial laser scanning (TLS) are two widely used terrain modeling techniques. In mountainous areas, both techniques suffer limitations. These limitations occur in uninhabited areas, primarily caused by the steep terrain and inconvenient transportation conditions, resulting in poor data integrity and inadequate accuracy in UAV and TLS terrain mapping. In this article, we proposed a fusion modeling method based on UAV photogrammetry and TLS for high-precision terrain mapping in mountainous and canyon areas. The proposed method entails the use of TLS data to provide additional control points for UAV modeling, resulting in an improved accuracy of the modeling results. In addition, to quantify the optimization effect of this method, we proposed a 3D model deviation comparison method based on the iterative closest point (ICP) algorithm. This method can be employed to accurately depict the differences in distance and rotation angle between multiple terrain models. We applied this method to the Yebatan hydropower station in Southwest China, which increased the accuracy of the terrain data by 26% and expanded the effective range by over 100%.

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