China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (5): 134-139.doi: 10.16265/j.cnki.issn1003-3033.2022.05.1699

• Safety engineering technology • Previous Articles     Next Articles

Determination method of comprehensive early-warning indexes for tailings dam based on improved POT model

ZENG Jihan1(), ZHANG Guang1, WU Hao2, HU Shaohua1,3,**()   

  1. 1 School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
    2 School of City and Environmental Sciences, Central China Normal University, Wuhan Hubei 430079, China
    3 National Research Center for Dam Safety Engineering Technology, Wuhan Hubei 430070, China
  • Received:2021-12-12 Revised:2022-04-07 Online:2022-08-17 Published:2022-11-28
  • Contact: HU Shaohua

Abstract:

In order to improve online monitoring and early-warning system of tailings dam, a comprehensive early-warning model was proposed based on qualitative indexes and quantitative indexes. Firstly, warning indexes were divided into monitoring indexes and non-monitoring ones whose weights were evaluated respectively, and comprehensive risk values were obtained. Then, an improved POT model was introduced, grand Pareto distuibution(GPD) function of risk indicators was established and solved, and comprehensive early-warning values were determined according to 3σ criterion. Finally, case analysis was conducted with a tailings dam in Hubei Province as an example. The results show that the proposed comprehensive early-warning model can make up for limitations of traditional single-indicator models, and warning values of yellow level, orange level and red level are calculated to be 66.538, 71.387 and 80.585 respectively. Compared with the results of cloud model(CM), it is proved that the proposed model has rationality and effectiveness.

Key words: peak over threshold(POT) model, tailings dam, comprehensive early-warning, online monitoring, index fusion, threshold