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author:

Chen, Congcong (Chen, Congcong.) [1] | Zhao, Yusong (Zhao, Yusong.) [2] | Ma, Bo (Ma, Bo.) [3]

Indexed by:

ESCI

Abstract:

Tailings storage facility (TSF) failures have tremendous impacts on surrounding populations, communities, and ecosystems. Therefore, a three-dimension risk matrix considering failure probability, event intensity, and exposure of failure-bearing bodies is established to assess the risk of TSF failure. First, based on the established assessment indicator system, the probability level is determined by the uncertainty measurement theory combined with the extension analytic hierarchy process. Then, the event intensity level is determined by two parameters, namely the volume of released tailings and the maximum distance traveled by tailings. The exposure level is characterized by the potential loss of four failure-bearing bodies, including population, economy, environment, and society. Finally, the risk index is calculated by the Euclidean distance method and the risk level is determined. In the proposed model, the probability, intensity, exposure, and the risk of TSF failure are all divided into four levels (Level I, Level II, Level III, Level IV) from high to low. The application of the case verifies the applicability and availability of the proposed model.

Keyword:

Event intensity Exposure Failure probability Risk level Tailings storage facility

Community:

  • [ 1 ] [Chen, Congcong]Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China
  • [ 2 ] [Ma, Bo]Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China
  • [ 3 ] [Zhao, Yusong]Fuzhou Univ, Zijin Sch Geol & Min, Fuzhou 350108, Peoples R China

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Source :

GEOTECHNICAL AND GEOLOGICAL ENGINEERING

ISSN: 0960-3182

Year: 2023

Issue: 3

Volume: 42

Page: 1811-1833

1 . 7

JCR@2023

1 . 7 0 0

JCR@2023

JCR Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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