文献类型：期刊文献

英文题名：Integration of DSM and SPH to Model Tailings Dam Failure Run-Out Slurry Routing Across 3D Real Terrain

作者：Wang, Kun[1,3,4];Yang, Peng[1,2];Hudson-Edwards, Karen A.[3,4];Lyu, Wensheng[1];Yang, Chao[1];Jing, Xiaofei[5]

第一作者：Wang, Kun

通讯作者：Wang, K[1];Yang, P[1];Yang, P[2];Wang, K[3];Wang, K[4]

机构：[1]Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China;[2]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China;[3]Univ Exeter, Environm & Sustainabil Inst, Penryn Campus, Cornwall TR10 9FE, England;[4]Univ Exeter, Camborne Sch Mines, Penryn Campus, Cornwall TR10 9FE, England;[5]Chongqing Univ Sci & Technol, Coll Safety Engn, Chongqing 401331, Peoples R China

第一机构：Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China

通讯机构：[1]corresponding author), Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China;[2]corresponding author), Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China;[3]corresponding author), Univ Exeter, Environm & Sustainabil Inst, Penryn Campus, Cornwall TR10 9FE, England;[4]corresponding author), Univ Exeter, Camborne Sch Mines, Penryn Campus, Cornwall TR10 9FE, England.|[11417103]北京联合大学北京市信息服务工程重点实验室;[11417]北京联合大学;

年份：2018

卷号：10

期号：8

外文期刊名：WATER

收录：;EI(收录号：20183505747008);Scopus(收录号：2-s2.0-85052154903);WOS:【SCI-EXPANDED(收录号:WOS:000448462700121)】；

基金：This research was funded by the National Natural Science Foundation of China (grant number 51774045), National Key R&D Program of China (grant number 2017YFC0804600), China Scholarship Council (grant number 201706460051) and Natural Science Foundation project of Chongqing Science and Technology Commission (grant number cstc2016jcyjA0319 and cstc2018jcyjAX0231).

语种：英文

外文关键词：tailings dam failure; digital surface model; smoothed particle hydrodynamics; slurry routing; disaster prevention and mitigation

摘要：Tailings dam failure accidents occur frequently, causing substantial damage and loss of human and animal life. The prediction of run-out tailings slurry routing following dam failures is of great significance for disaster prevention and mitigation. Using satellite remote sensing digital surface model (DSM) data, tailings pond parameters and the advanced meshless smoothed particle hydrodynamics (SPH) method, a 3D real-scale numerical modelling method was adopted to study the run-out tailings slurry routing across real downstream terrains that have and have not been affected by dam failures. Three case studies, including a physical modelling experiment, the 2015 Brazil FundAo tailings dam failure accident and an operating high-risk tailings pond in China, were carried out. The physical modelling experiment and the known consequences were successfully modeled and validated using the SPH method. This and the other experiments showed that the run-out tailings slurry would be tremendously destructive in the early stages of dam failure, and emergency response time would be extremely short if the dam collapses at its full designed capacity. The results could provide evidence for disaster prevention and mitigation engineering, emergency management plan optimization, and the development of more responsible site plans and sustainable site designs. However, improvements such as rheological model selection, terrain data quality, computing efficiency and land surface roughness need to be made for future studies. SPH numerical modelling is a powerful and advanced technique that is recommended for hazard assessment and the sustainable design of tailings dam facilities globally.