Using an comprehensive method for evaluation of environment state in a zone of influence of a tailing dam

Krupskaya, L. T.; Зверева, В. П.; Kirienko, O. A.; Imranova, E. L.; Volobueva, N. G.

doi:10.1134/s1070363216130144

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…At present, very rich research results [7][8][9][10] have been obtained in the health diagnosis of tailings dams, which are mainly divided into qualitative diagnosis and quantitative diagnosis. Most studies [11][12][13][14][15] focus on qualitative diagnosis, represented by the safety checklist method, which lists inspection items according to the relevant laws and regulations, and then scores and summarizes the overall health status of tailings dams by experts. This method is convenient to operate and intuitive in its evaluation results, but it has strong subjective randomness, and its accuracy and credibility are insufficient.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Diagnosis Method of the Health of Tailings Dams Based on Dynamic Weight and Quantitative Index

Dong

Yang

2022

Sustainability

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As a dangerous source of man-made debris flow with high potential energy, tailings dams can cause huge losses to people’s lives and property downstream once they break, and their safety control problem is particularly prominent. The health diagnosis of tailings dams is a complex and nonlinear problem full of uncertainty. At present, the health diagnosis of tailings dams is mostly qualitative evaluation or quantitative analysis aiming at a single index, so this study puts forward a comprehensive quantitative diagnosis method of tailings dam health based on dynamic weight. Slope stability, deformation stability and seepage stability are taken as project layers, and the diagnosis index system of the tailings dam is constructed. The quantitative methods of diagnosis indexes of project layers are proposed. For the dam slope stability project, the safety factor and the reliability index of tailings dams are determined based on the Monte Carlo method, which can consider the uncertainty of tailings material parameters. For the deformation stability project, the normal operation values of deformation rate and deformation amount are determined by analyzing the in situ observation data and combining them with the numerical simulation results. For the seepage stability project, through the analysis of seepage and stability, the relationship curve between the depth of saturation line and the safety factor of anti-sliding stability is established. The norms method is used to determine the quantitative standards for the diagnosis indexes of the basic layer. Based on the analytical hierarchy process method and the penalty variable weight method, the method of dynamic weight of the project layer index is proposed. The proposed methods are applied to a practical engineering project. The results show that the methods can accurately reflect the health status of tailings dams. This study provides a new method for evaluating the safety of tailings dams.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Diagnosis Method of the Health of Tailings Dams Based on Dynamic Weight and Quantitative Index

Dong

Yang

2022

Sustainability

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“…Due to engineering investment problems, the general tailings ponds are built not far from the plant, close to roads or railways, and near rivers. Therefore, once the tailings pond is wrecked, its destructiveness is enormous [3]. In order to prevent accidents, in production practice, people constantly sum up experience and lessons, study the law of accidents, find out the source of danger, and understand why accidents occur, how accidents occur, and how to take measures to prevent them [4].…”

Section: Introductionmentioning

confidence: 99%

Detection method for dam deformation of tailing pond based on fault diagnosis algorithm

Meng

2020

THERM SCI

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The existing methods of dam deformation detection of tailings reservoir have the problems of poor accuracy and slow speed. Therefore, a fault diagnosis algorithm based on tailing dam deformation detection method is proposed. The grey theory is used to accumulate the original feature sequence, and the first cumulative sequence is obtained. Based on this, the grey detection model is constructed, and then the concrete deformation of tailings dam body is accurately detected by precision test. Experimental results show that the method has high accuracy, high speed and practicability.

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Technogenic Surface Formations within the Limits of Mining-Industrial System of the Dalnegorsky District of the Primorsky Krai as the Reclamation Site

Krupskaya

Андроханов

Belanov

2020

IOP Conf. Ser.: Earth Environ. Sci.

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The article presents the results of long-term researches of the problem of reclamation of technogenic surface formations (TSF), of tailings surface of Dalpolpolymetal mining enterprise containing toxic heavy metal compounds. The purpose of the research was to create a method of tailings surface reclamation, providing for increasing the reliability of its closing, shortening of reclamation period, reducing the risk of technogenic catastrophes and ensuring the ecological and social safety. Based on the purpose of the study, the following tasks were formulated: 1. Analyze and summarize the literary data on the problem of the research of technogenic surface formations (TSF) within the limits of impact of technogenic system as the reclamation site; 2. Estimate waste as a potential source of ecosphere technogenic pollution; 3. Give proposals on ecological and social safety of tailings containing toxic heavy metal compounds. On the basis of soil-ecological conditions of the studied area the characteristic of technogenic surface formations is given. The proposals for environmental and social safety of tailings containing toxic heavy metal compounds have been developed.

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Using an comprehensive method for evaluation of environment state in a zone of influence of a tailing dam

Cited by 3 publications

References 2 publications

Comprehensive Diagnosis Method of the Health of Tailings Dams Based on Dynamic Weight and Quantitative Index

Comprehensive Diagnosis Method of the Health of Tailings Dams Based on Dynamic Weight and Quantitative Index

Detection method for dam deformation of tailing pond based on fault diagnosis algorithm

Technogenic Surface Formations within the Limits of Mining-Industrial System of the Dalnegorsky District of the Primorsky Krai as the Reclamation Site

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