Numerical simulation of tailings dam break based on CTGAN algorithm and improved TDB_S model

• Published in: Environmental earth sciences Vol. 83; no. 17; p. 493
• Main Authors: Sui, Jiaheng, Ren, Jie, Cheng, Heng, Lei, Yanan, Shi, Jihui, Nan, Shenghao
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2024; Springer Nature B.V
• Subjects: Algorithms; Average flow; Biogeosciences; Cellular automata; Computer simulation; Dam breaching; Dam failure; Dam safety; Dams; Earth and Environmental Science; Earth Sciences; Environmental Science and Engineering; Flow rates; Geochemistry; Geology; Hydrology/Water Resources; Mathematical models; Numerical models; Numerical simulations; Original Article; Simulation; Tailings; Terrestrial Pollution; Tailings dams; Numerical simulation; Mathematical modelling; Dam break model
• ISSN: 1866-6280; 1866-6299
• DOI: 10.1007/s12665-024-11808-7

Tailings dams generally face problems such as a large number of hazardous reservoirs and difficulties in supervision, and the current numerical models related to tailings dam failure have shortcomings such as weak targeting and reliance on empirical formulas. In order to solve the above problems, based on the CTGAN data enhancement algorithm of 132 dam break cases database, a tailings dam break numerical model (hereinafter referred to as TDB_S) is established and applied to the analysis of 18 tailings dam break cases. By comparing the simulation results of the TDB-S model with three other common dam failure models (DAMBRK model, BREACH model, and Cellular Automaton model), it was found that the TDB-S model can effectively predict the expansion of the dam breach and the peak flow rate under most operating conditions. The comparison results with other models show that the average flow error of the TDB-S model in predicting the collapse process of 18 tailings dams worldwide is 12.36%; the average error of the breach is 13.28%. The above conclusion proves that the TDB-S model has better simulation effect and higher accuracy compared to other models, and can provide a certain reference basis for the study of tailings dam breach safety issues.