3D Numerical Modelling of Tailings Dam Breach Run Out Flow over Complex Terrain: A Multidisciplinary Procedure
Tailings dams, as essential mining structures, are being built globally for containing the chief waste stream of the mining industry. Catastrophic tailings dam breaches have occurred frequently over the past decade, causing severe impacts on the environment, economy, and human health. The foreknowle...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/9/2538 |
| _version_ | 1797553936028139520 |
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| author | Kun Wang Peng Yang Guangming Yu Chao Yang Liyi Zhu |
| author_facet | Kun Wang Peng Yang Guangming Yu Chao Yang Liyi Zhu |
| author_sort | Kun Wang |
| collection | DOAJ |
| description | Tailings dams, as essential mining structures, are being built globally for containing the chief waste stream of the mining industry. Catastrophic tailings dam breaches have occurred frequently over the past decade, causing severe impacts on the environment, economy, and human health. The foreknowledge of the tailings dam breach overland flow is crucial for the risk assessment and emergency response planning in order to prevent or minimize possible losses. Using unmanned aerial vehicles (UAV) photogrammetry and smoothed particle hydrodynamics (SPH) numerical method, this study proposed a multidisciplinary procedure for modelling a hypothetical tailings dam breach run out flow over the downstream complex terrain. A case study on a 97-m-height tailings dam in Shandong Province of China was carried out. The proposed procedure was proven applicable to determine the overland tailings flow. The submerged area and flow velocities suggested that the downstream G2 highway would hardly be threatened and more concerns should be paid on the factory plants and workers deployed between the dam toe and the highway. Additionally, the application of UAV photogrammetry in the mining industry as a supplementary surveying method can be further expanded, especially for the numerous small-scale mining sites. The proposed procedure is then recommended for the safety management of the tailings’ storage facilities globally. |
| first_indexed | 2024-03-10T16:23:43Z |
| format | Article |
| id | doaj.art-9263314d03864342a06101832153e50b |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T16:23:43Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-9263314d03864342a06101832153e50b2023-11-20T13:26:18ZengMDPI AGWater2073-44412020-09-01129253810.3390/w120925383D Numerical Modelling of Tailings Dam Breach Run Out Flow over Complex Terrain: A Multidisciplinary ProcedureKun Wang0Peng Yang1Guangming Yu2Chao Yang3Liyi Zhu4College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaBeijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, ChinaSchool of Civil Engineering, Qingdao University of Technology, Qingdao 266033, ChinaSchool Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaTailings dams, as essential mining structures, are being built globally for containing the chief waste stream of the mining industry. Catastrophic tailings dam breaches have occurred frequently over the past decade, causing severe impacts on the environment, economy, and human health. The foreknowledge of the tailings dam breach overland flow is crucial for the risk assessment and emergency response planning in order to prevent or minimize possible losses. Using unmanned aerial vehicles (UAV) photogrammetry and smoothed particle hydrodynamics (SPH) numerical method, this study proposed a multidisciplinary procedure for modelling a hypothetical tailings dam breach run out flow over the downstream complex terrain. A case study on a 97-m-height tailings dam in Shandong Province of China was carried out. The proposed procedure was proven applicable to determine the overland tailings flow. The submerged area and flow velocities suggested that the downstream G2 highway would hardly be threatened and more concerns should be paid on the factory plants and workers deployed between the dam toe and the highway. Additionally, the application of UAV photogrammetry in the mining industry as a supplementary surveying method can be further expanded, especially for the numerous small-scale mining sites. The proposed procedure is then recommended for the safety management of the tailings’ storage facilities globally.https://www.mdpi.com/2073-4441/12/9/2538tailings storage facilitytailings dam breachunmanned aerial vehiclessmoothed particle hydrodynamicsphotogrammetry |
| spellingShingle | Kun Wang Peng Yang Guangming Yu Chao Yang Liyi Zhu 3D Numerical Modelling of Tailings Dam Breach Run Out Flow over Complex Terrain: A Multidisciplinary Procedure Water tailings storage facility tailings dam breach unmanned aerial vehicles smoothed particle hydrodynamics photogrammetry |
| title | 3D Numerical Modelling of Tailings Dam Breach Run Out Flow over Complex Terrain: A Multidisciplinary Procedure |
| title_full | 3D Numerical Modelling of Tailings Dam Breach Run Out Flow over Complex Terrain: A Multidisciplinary Procedure |
| title_fullStr | 3D Numerical Modelling of Tailings Dam Breach Run Out Flow over Complex Terrain: A Multidisciplinary Procedure |
| title_full_unstemmed | 3D Numerical Modelling of Tailings Dam Breach Run Out Flow over Complex Terrain: A Multidisciplinary Procedure |
| title_short | 3D Numerical Modelling of Tailings Dam Breach Run Out Flow over Complex Terrain: A Multidisciplinary Procedure |
| title_sort | 3d numerical modelling of tailings dam breach run out flow over complex terrain a multidisciplinary procedure |
| topic | tailings storage facility tailings dam breach unmanned aerial vehicles smoothed particle hydrodynamics photogrammetry |
| url | https://www.mdpi.com/2073-4441/12/9/2538 |
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