Citation

Zeng J, Zhang G, Wu H, Hu S. China Saf. Sci. J. 2022; 32(5): 134-139.

Copyright

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

DOI

10.16265/j.cnki.issn1003-3033.2022.05.1699

PMID

unavailable

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. © PHYSOR 2022 China Safety Science Journal. All rights reserved.

Language: zh