Detection of former goaf and analysis of deformation characteristics of overburden in Dameidong coal mine

Wei, Zhan-Xi; Zhao, Meng; Xie, Fan; Cao, Sheng-Hong; Dong, Jing; Dong, Yang-Dan

doi:10.3389/feart.2023.1111745

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Yan et al [7] analyzed the difference in surface damage induced by deep and shallow mining and its mechanism by field measurement and similar material simulation experiments. Wei et al [8] analyzed the deformation of the old goaf in a coal mine and its influence on the surrounding rock and soil layer. Jia et al [9] studied the influence of the advancing speed of the working face on the surface dynamic deformation to provide a basis for the effective protection of the surface structures.…”

Section: Introductionmentioning

confidence: 99%

Application of the Time Function Model for Dynamic Deformation Prediction in Mining Areas under Characteristic Constraints

Wang,

Dai,

Yan

et al. 2023

Sustainability

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The fundamental model for dynamically predicting surface subsidence is the time influence function. However, current research and the application of time functions often neglect the comprehensive characteristics of the entire surface deformation process, leading to a less systematic representation of the actual deformation law. To rectify this, we explore ground point deformation along the strike line from two perspectives: dynamic subsidence and dynamic horizontal movement. Moreover, we develop prediction models for dynamic subsidence and dynamic horizontal movement at any point along the strike line, utilizing the probability integral method (PIM) and considering the surface deformation features. We then use characteristic constraints based on the prediction models to constrain the time influence function. For this purpose, we employ the Richards time function which has strong universality to establish the time functions for dynamic subsidence and horizontal movement under these constraints. We provide an illustrative example of its application in the 12,401 working face. Additionally, we explore the suitability of interferometric synthetic aperture radar (InSAR) technology for acquiring dynamic subsidence data on the surface. The experimental findings reveal the following key observations: the Richards model, when applied for dynamic subsidence prediction under constraints, exhibits high accuracy with an R-squared (R2) value of 0.997 and a root mean squared error (RMSE) of 94.6 mm, along with a relative mean square error of 1.9%. Meanwhile, the dynamic horizontal movement prediction model exhibits an accuracy in fully mined areas with an R2 of 0.986, an RMSE of 46.2 mm, and a relative mean square error of 2.6%.

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Section: Introductionmentioning

confidence: 99%

Application of the Time Function Model for Dynamic Deformation Prediction in Mining Areas under Characteristic Constraints

Wang,

Dai,

Yan

et al. 2023

Sustainability

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“…A mined-out area is an empty area left after ore is stripped from the mine body via mining technology [1,2]. The mined-out area is an important hidden danger, threatening mine safety due to its characteristics of strong concealment, poor spatial distribution regularity, strong accident occurrence, and serious consequences [3,4].…”

Section: Introductionmentioning

confidence: 99%

Research on Sustainable Development of Mining Goaf Management Based on Economic Models

Pang,

Shi,

Liu

2023

Sustainability

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The sustainable development of mines has been the focus of attention in recent years. In China, there are a large number of untreated mined-out areas, and a series of disasters caused by the instability of the goaf will bring heavy blows to people’s safety and financial resources. Filling treatment will lead to increasing costs and decreasing profits, which will seriously reduce the motivation of mining enterprises and even lead to a moral hazard. Therefore, the analysis of the economic benefits of goaf control plays a vital role in the sustainable construction and long-term development of mines. This paper proposed the mined-out area treatment economic model. The proposed method employs the guiding philosophy of the newsboy model to create a mathematical economy model that provides the basis for a goaf management mode for mines. The following research results were obtained: (1) The economic model of the mined-out area backfilling treatment is constructed, which is classified as three different modes. (2) Combined with mathematical derivation and simulation, the influence of relevant variable parameters on each type of filling mode is discussed. (3) Various types of goaf filling treatment mode are compared with a non-filling scheme (benchmark mode), to provide theoretical support to help mining enterprises choose appropriate filling schemes. The results show that the economic model of mined-out area management provides the optimal mode for mined-out area filling, and the balance of tailings and ultra-high-water filling material procurement is realized, resulting in maximum profits. In this paper, we explain how the use of economic thinking has an important impact on the sustainable development of safety goaf management.

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Youth Employment and Dynamics in Rural Non-Farm Enterprises (RNFE) in Ethiopia

Pang¹,

Shi²,

Liu³

2023

Preprint

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The sustainable development of mines has been the focus of attention in recent years, in China, there are a large number of untreated mined-out areas, and a series of disasters caused by instability of the goaf will bring heavy blows to people’s safety and financial resources. Mined-out areas management is an important part that cannot be ignored in mine sustainable development, and filling management is one of the most effective ways to solve the hidden danger of mined-out areas. Among them, cemented filling with tailings and the ultra-high-water backfilling are commonly used in mining enterprises. However, filling treatment will lead to increasing cost and the decreasing profits, which seriously depresses the motivation of mining enterprises and even leads to mor-al hazard. Therefore, the analysis of the economic benefits of goaf control plays a vital role in the sustainable construction and long-term development of mines. This paper proposed the mine-out area treatment economic model, the proposed method employs the guiding philosophy of news-boy model to create a mathematical economy model that provides the basis of goaf management mode for mine. The following research results are achieved: (1) The economic model of mined-out area backfilling treatment is constructed, and which is classified three different modes. (2) Com-bined with mathematical derivation and simulation, the influence of relevant variable parameters on each type of filling mode is discussed. (3) Various types of goaf filling treatment mode are com-pared with non-filling scheme (benchmark mode), so as to provide theoretical support for mining enterprises to choose the appropriate filling scheme. The results shows that the economic model of mined-out area management provides the optimal mode for mined-out area filling, the balance of tailings and ultra-high water filling materials procurement is realized, to making maximum profits. In this paper, the use of economic thinking has an important impact on the sustainable development of safety goaf management. To evaluate the sustainable development of goaf management by building economic models. It has important theoretical basis and practical guiding significance for the development and exploration of mined-out area management by combining economy with sustainable development.

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Detection of former goaf and analysis of deformation characteristics of overburden in Dameidong coal mine

Cited by 3 publications

References 5 publications

Application of the Time Function Model for Dynamic Deformation Prediction in Mining Areas under Characteristic Constraints

Application of the Time Function Model for Dynamic Deformation Prediction in Mining Areas under Characteristic Constraints

Research on Sustainable Development of Mining Goaf Management Based on Economic Models

Youth Employment and Dynamics in Rural Non-Farm Enterprises (RNFE) in Ethiopia

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