EGU25-2699, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-2699
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Deep Learning-Driven Distributed Acoustic Sensing for Real-Time Flow Dynamics Monitoring in Large-Diameter Aqueducts
,- Nanjing University, School of Earth Sciences and Engineering, Nanjing, China (dytan@nju.edu.cn)
How to cite: Tan, D.-Y., Tang, Z.-Y., Wang, J., and Zhu, H.-H.: Deep Learning-Driven Distributed Acoustic Sensing for Real-Time Flow Dynamics Monitoring in Large-Diameter Aqueducts, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2699, https://doi.org/10.5194/egusphere-egu25-2699, 2025.