Citation

Wang K, Zhang J, Yang X, Zang C, Zhu L, Zhang Z. China Saf. Sci. J. 2022; 32(12): 95-101.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.12.1163

PMID

unavailable

Abstract

In order to carry out the risk assessment of tailings pond more scientifically and further improve the ability of disaster prevention and reduction, the migration law of tailings dam breach runout mud flow on downstream fine terrains was studied. The meshless Smooth Particle Hydrodynamics (SPH) method was introduced. UAV remote sensing technology was used to obtain high-resolution terrains. A case study of a certain tailings pond in East China was carried out. The flow state and key indicators of the runout mud flow were analyzed. The results show that: the dam toe is submerged in 15 s after the dam breach. The flow rushes to the downstream valley with a high velocity of over 12 m/s. The peak velocity reaches 15 m/s due to the influence of valley topography. The modelling results are dominated by downstream terrains. The tailings mud flow gathers quickly through the downstream valley at a high velocity. Eventually a significant impact range is observed. The indicators of flow velocity, impact force and submerged depth indicate that the downstream seedling nursery and factory plant are exposed to high risks of potential dam breach. UAV remote sensing technology can realize the fine terrains data acquisition of tailings pond and its downstream area, with the advantages of high resolution, great timeliness and automation. The proposed tailings dam breach SPH modelling method considering fine terrains is then proved feasible and can be further popularized. © 2022 China Safety Science Journal. All rights reserved.

Language: zh