Propagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory

Accidents have occurred periodically in the tailings ponds where mine solid waste is stored in recent years, and thus their safety has become one of the constraints restricting the sustainable development of the mining industry. Reclamation is an important way to treat tailings ponds, but improper r...

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Autores principales:	Zhixin Zhen, Ying Zhang, Mengrong Hu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	tailings reclamation risk hazard identification complex network hazard management Mining engineering. Metallurgy TN1-997
Acceso en línea:	https://doaj.org/article/ec53c9d43619476fb1aa75b030d4dc88
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spelling	oai:doaj.org-article:ec53c9d43619476fb1aa75b030d4dc882021-11-25T18:21:57ZPropagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory10.3390/met111117892075-4701https://doaj.org/article/ec53c9d43619476fb1aa75b030d4dc882021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4701/11/11/1789https://doaj.org/toc/2075-4701Accidents have occurred periodically in the tailings ponds where mine solid waste is stored in recent years, and thus their safety has become one of the constraints restricting the sustainable development of the mining industry. Reclamation is an important way to treat tailings ponds, but improper reclamation methods and measures not only cannot reduce the accident risk of tailings ponds, but will further increase the pollution to the surrounding environment. The influencing factors of reclamation accidents in tailings ponds are complex, and the existing models cannot characterize them. In order to study the propagation process of tailings pond reclamation risk, this paper proposes a three-dimensional identification framework for accident hazards based on evidence (TDIFAHE) to identify all potential hazards that may occur during the reclamation stage, and obtain a list of hazards. Based on the complex network theory, this paper uses identified hazards as network nodes and the correlation between hazards as the edges of the network. Based on the identified hazard data, the evolution network of reclamation risk in tailings ponds (ENRRTP) is constructed. By analyzing the statistical characteristics of ENRRTP, it can be found that ENRRTP has small world and scale-free characteristics. The above characteristics show that the reclamation risk of tailings ponds is coupled with multiple factors and the disaster path is short. Giving priority to those hub hazards that have a dominant impact on the reclamation risk can significantly reduce the reclamation risk of the tailings pond.Zhixin ZhenYing ZhangMengrong HuMDPI AGarticletailingsreclamation riskhazard identificationcomplex networkhazard managementMining engineering. MetallurgyTN1-997ENMetals, Vol 11, Iss 1789, p 1789 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tailings reclamation risk hazard identification complex network hazard management Mining engineering. Metallurgy TN1-997
spellingShingle	tailings reclamation risk hazard identification complex network hazard management Mining engineering. Metallurgy TN1-997 Zhixin Zhen Ying Zhang Mengrong Hu Propagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory
description	Accidents have occurred periodically in the tailings ponds where mine solid waste is stored in recent years, and thus their safety has become one of the constraints restricting the sustainable development of the mining industry. Reclamation is an important way to treat tailings ponds, but improper reclamation methods and measures not only cannot reduce the accident risk of tailings ponds, but will further increase the pollution to the surrounding environment. The influencing factors of reclamation accidents in tailings ponds are complex, and the existing models cannot characterize them. In order to study the propagation process of tailings pond reclamation risk, this paper proposes a three-dimensional identification framework for accident hazards based on evidence (TDIFAHE) to identify all potential hazards that may occur during the reclamation stage, and obtain a list of hazards. Based on the complex network theory, this paper uses identified hazards as network nodes and the correlation between hazards as the edges of the network. Based on the identified hazard data, the evolution network of reclamation risk in tailings ponds (ENRRTP) is constructed. By analyzing the statistical characteristics of ENRRTP, it can be found that ENRRTP has small world and scale-free characteristics. The above characteristics show that the reclamation risk of tailings ponds is coupled with multiple factors and the disaster path is short. Giving priority to those hub hazards that have a dominant impact on the reclamation risk can significantly reduce the reclamation risk of the tailings pond.
format	article
author	Zhixin Zhen Ying Zhang Mengrong Hu
author_facet	Zhixin Zhen Ying Zhang Mengrong Hu
author_sort	Zhixin Zhen
title	Propagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory
title_short	Propagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory
title_full	Propagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory
title_fullStr	Propagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory
title_full_unstemmed	Propagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory
title_sort	propagation laws of reclamation risk in tailings ponds using complex network theory
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ec53c9d43619476fb1aa75b030d4dc88
work_keys_str_mv	AT zhixinzhen propagationlawsofreclamationriskintailingspondsusingcomplexnetworktheory AT yingzhang propagationlawsofreclamationriskintailingspondsusingcomplexnetworktheory AT mengronghu propagationlawsofreclamationriskintailingspondsusingcomplexnetworktheory
_version_	1718411293017243648

Propagation Laws of Reclamation Risk in Tailings Ponds Using Complex Network Theory

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