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author:

Yang, F. (Yang, F..) [1] (Scholars:阳富强) | Zhu, W. (Zhu, W..) [2] | Liu, X. (Liu, X..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

In order to determine the grade of spontaneous combustion tendency of sulfide ores in sulfur-rich ore deposits scientifically, three determination indexes were selected, including the oxygen absorption rate on average, self-heating point, and ignition point. The classification model of spontaneous combustion tendency of sulfide ores was established based on entropy weight and the cloud model. The determination index of spontaneous combustion tendency of sulfide ores and the classification standard were transformed into normal cloud classification standard. The index weight of actual test value for each index were empowered by entropy method. The level of spontaneous combustion tendency of each sample was determined based on the principle of maximum membership degree of fuzzy subset B. The feasibility of this model was confirmed by using 10 representative samples from a typical mine in China. The classification results were consistent with that obtained by the method of multi-factor comprehensive evaluation. The model can increase the accuracy effectively in determining the level of spontaneous combustion tendency of sulfide ores, so it provides a new method for controlling the spontaneous fire of sulfur-rich mines. © 2018 Science Press. All rights reserved.

Keyword:

Cloud model; Entropy method; Grade of spontaneous combustion tendency; Sulfide ores

Community:

  • [ 1 ] [Yang, F.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Zhu, W.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Liu, X.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China

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Source :

Journal of Natural Disasters

ISSN: 1004-4574

CN: 23-1324/X

Year: 2018

Issue: 1

Volume: 27

Page: 208-214

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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