A Risk Assessment of a Water-Sand Inrush during Coal Mining under a Loose Aquifer Based on a Factor Analysis and the Fisher Model

Zhang, Wenquan; Wang, Zaiyong; Zhu, Xianxiang; Wei, Li; Gao, Bing; Yu, Hailing

doi:10.1061/(asce)he.1943-5584.0001936

Cited by 27 publications

(20 citation statements)

References 15 publications

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“…The coal seams of many mines in North and East China are covered with thick Cenozoic loose layers, which have a confined aquifer at the bottom (called the Cenozoic bottom aquifer). This confined aquifer forms a potential threat to the safe mining of shallow coal seams [8][9][10]. Because of the influence of coal mining activities, mining-induced fractures may extend to the Cenozoic bottom aquifer and cause water inrush accidents.…”

Section: Introductionmentioning

confidence: 99%

Water Abundance Comprehensive Evaluation of Coal Mine Aquifer Based on Projection Pursuit Model

Tang

et al. 2022

Lithosphere

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After coal mining, mining fissures develop, which may lead to an overlying aquifer and water inrush. Objectively and accurately evaluating and predicting the water abundance of the bottom aquifer of the Cenozoic are of great significance for ensuring safe mining of shallow coal seams and for the protection of water resources. The water richness evaluation index data has characteristics of high dimensionality, nonlinearity, and nonnormal distribution, and therefore, results often cannot objectively and truly reflect the water abundance of aquifers. To overcome these problems, a water abundance evaluation method is proposed that is based on the projection pursuit model. Taking the Cenozoic bottom aquifer in the Xutuan mine of Huaibei mining area, China, as a research object, a water abundance evaluation index system is constructed based on the law of sedimentary characteristics controlling groundwater. This system consists of four factors including aquifer thickness, sand and gravel layer thickness, number of sand and gravel layer, and ratio of sand and gravel content to total aquifer content. The projection pursuit comprehensive evaluation method is introduced to the water abundance evaluation of the aquifer. The method is used to optimize and solve the optimal projection direction, and the comprehensive projection value is calculated according to the optimal projection direction. The size of the comprehensive projection value is then used as basis for characterizing the water abundance degree of the Cenozoic bottom aquifer in the study area. Moreover, the Jenks natural breaks classification method is used to grade and evaluate the comprehensive projection value of water abundance. Finally, the evaluation results of water abundance are verified by the value of unit water inflow and the distribution of known water inrush points. The results show that it is feasible to employ the projection pursuit model for water abundance evaluation of mine aquifers, and optimal evaluation results can be obtained. The model projects high-dimensional data onto a one-dimensional subspace for data analysis and finds the optimal projection direction that can identify the data characteristics and mine the data to the greatest extent. Furthermore, this model avoids interferences by subjectivity and human factors and improves the scientificity and accuracy of the evaluation results. This study provides a new method and concept for the evaluation of aquifer water abundance involving multiple factors.

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Section: Introductionmentioning

confidence: 99%

Water Abundance Comprehensive Evaluation of Coal Mine Aquifer Based on Projection Pursuit Model

Tang

et al. 2022

Lithosphere

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“…With the development of Internet technology, many new communication technologies have been applied to mine ER such as the video communication between the underground and ground and between the accident scene and ER command departments at all levels [25,26].…”

Section: Introduction Of Er Equipment and Communicationmentioning

confidence: 99%

Modified Stochastic Petri Net-Based Modeling and Optimization of Emergency Rescue Processes during Coal Mine Accidents

Shi

Wang

et al. 2021

Geofluids

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The coal mine accidents seriously affect the safety and efficiency of mining for coal mining enterprises. The reliable emergency rescue (ER) processes are explored to minimize the loss of accidents. This paper introduces the stochastic Petri net (SPN) and Markov chain (MC) models based on the system structure flow to analyze the ER processes of coal mine accidents. In addition, a triangle fuzzy strategy is presented to optimize the SPN model. The “9·28” major water inrush accident in Shanxi Fenxi Zhengsheng Coal Company of China is adopted to evaluate the time performance and accident data of the ER process. The MC model-based steady-state probabilities of the system under various states are used to calculate the average delay time of this system. The triangular fuzzy strategy is used to analyze the change value of the total time in the ER system at the unit transition speed when the firing rate of each transition is changed, which finds the most time-consuming key activities in the ER process. The results show that SPN and MC can reflect the dynamic behaviors of ER process, which provides a reference for the rescue operations of other coal mine accidents. The triangular fuzzy strategy can quickly find out the key activities affecting the ER time, which greatly decreases the calculations generated by analyzing the total time of the system changed at the unit transition speed.

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“…1 − 4 For coal mining under thick loose strata in the North China Plain, damage to the land is more severe. 5 However, the North China Plain is known to produce a high grain yield ( Figure 1 a). This region is characterized by high underground phreatic water levels, thick loose strata, and large areas of ponding, resulting in extensive damage across wide areas of cultivated land ( Figure 1 b).…”

Section: Introductionmentioning

confidence: 99%

Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata

Wang

Shao

et al. 2021

ACS Omega

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Coal mining under thick loose strata in North China leads to ground subsidence, which is a natural result of hydromechanical coupling (fluid flow coupled with solid deformation). Therefore, the land surrounding the mining areas is greatly damaged. In this study, the combined weight (CW) method and the fuzzy matter-element analysis (FMEA) method were used to analyze and evaluate the control effect of subsiding land. Overall, 20 sets of geological samples were collected from this area. The influencing factors and the corresponding weights for the control effect of subsiding land were comprehensively analyzed, and an FMEA model was built to predict and verify the results. The results showed that (1) the two evaluation indicators with the most significant impact on land reclamation were the degree of integration and the economic and social benefits and (2) among the 20 sets of samples selected, the predicted conclusions of 17 sets were consistent with the actual engineering situations, which led to an accuracy of 85%. In other words, the CW-FMEA model showed good reliability for evaluating the control effect of subsiding land, which can provide scientific references for control and quality evaluations of land subsidence due to coal mining.

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A Risk Assessment of a Water-Sand Inrush during Coal Mining under a Loose Aquifer Based on a Factor Analysis and the Fisher Model

Cited by 27 publications

References 15 publications

Water Abundance Comprehensive Evaluation of Coal Mine Aquifer Based on Projection Pursuit Model

Water Abundance Comprehensive Evaluation of Coal Mine Aquifer Based on Projection Pursuit Model

Modified Stochastic Petri Net-Based Modeling and Optimization of Emergency Rescue Processes during Coal Mine Accidents

Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata

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