Overburden and surface subsidence with slicing paste filling mining in thick coal seams

Zheng, Qiushuang; Wang, Changfeng; Pang, Lifu

doi:10.3389/feart.2022.1027816

Cited by 4 publications

(2 citation statements)

References 30 publications

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“…Coal plays an essential role in China's energy mix, accounting for 57.14% of total consumption according to the National Bureau of Statistics over the past 5 years, and the average coal consumption was 5.026 billion tons. While supporting the development of the national economy, coal mining also causes significant land damage from excavation, subsidence, and occupation, which significantly impacts the ecological environment of mining areas [1][2][3]. Coal mining subsidence has caused irreversible damage to arable land [4,5], exacerbating the already strained situation of insufficient per capita cultivated land resources.…”

Section: Introductionmentioning

confidence: 99%

A Study of the Physical and Mechanical Properties of Yellow River Sediments and Their Impact on the Reclamation of Coal-Mined Subsided Land

Sun,

Hu,

Wang

2024

Sustainability

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Coal mining in China has resulted in numerous subsided areas, exacerbating land scarcity issues. The Yellow River carries a high sediment load of nearly 1.6 billion tons annually. Cleaning up the accumulated silt is costly and takes up land. Reusing the sediment from the Yellow River to fill and reclaim the subsided areas caused by coal mining addresses both sedimentation and land reclamation issues, killing two birds with one stone. Nonetheless, technical challenges have emerged, such as machinery sinking into the soil, difficulty draining water, and poor soil quality improvement. To tackle these issues, understanding the physical and mechanical properties of Yellow River sediment is essential. Results show that the average particle size (D50) is 0.08 mm, categorized as fine-grained sandy soil with a relatively uniform particle size distribution. The permeability coefficient is 2.91 × 10−3 cm·s−1, similar to that of silty soil, indicating the feasibility for filling reclamation. However, the low permeability requires drainage improvement to accelerate construction timelines. The internal friction angle of the sediment ranges from 34.67° to 31.76°, with a cohesion from 20.79 to 23.92 kPa. To ensure safe and stable construction, machinery must not sink into the fill material. It is recommended to enhance drainage to about 13% for quicker drainage and stable construction. The sediment has a compression coefficient of 0.05 MPa−1, indicating low compressibility. Mechanical compression is not economically viable during the reclamation process. Design elevation (H) and fill elevation (h) should account for cumulative deformation settlement.

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Section: Introductionmentioning

confidence: 99%

A Study of the Physical and Mechanical Properties of Yellow River Sediments and Their Impact on the Reclamation of Coal-Mined Subsided Land

Sun,

Hu,

Wang

2024

Sustainability

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“…In order to achieve the coordinated development of "coal-water-ecology" and ecological environmental protection in coal mining areas, many scholars have conducted research on back ll mining technology, materials, and surface subsidence reduction. A large amount of research and application have proved that back ll mining can effectively reduce the damage caused by coal seam mining (Zhang et al, 2007;Li et al, 2008;Sun et al, 2008;He & Li, 2021;Zheng et al, 2023), and the mining materials are gradually diversi ed from single solid materials such as gangue (Zhang et al, 2005;Li et al, 2016) to aeolian sand, loess, etc. (Lan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Law of overburden and surface deformation in roof cutting and backfilling mining under thin bedrock in shallow buried coal seam

Yang,

Huang,

Meng

et al. 2024

Preprint

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Under the special geological conditions of shallow buried coal seams and thin bedrock, the caving method of coal mining can cause irreversible damage to the ecological environment such as the aquifer structure, surface subsidence, and ground fissures of the mine. However, the traditional backfill mining has problems such as insufficient material, low efficiency, and high cost. The paper focuses on the new ideas of roof cutting and backfilling mining treatment, taking Jinjie Mine as the research background, through theoretical analysis, similarity model experiments and numerical simulation, the laws of overburden failure and surface movement and deformation under shallow buried and thin bedrock geological conditions were studied when using roof cutting and backfilling mining method. The comparative study with the fully mechanized caving mining method shows that the use of roof cutting and backfilling method can suppress the development of fractures and achieve the effect of reducing subsidence. Before releasing the constraint of the filling gangue column, the maximum direct roof subsidence of the coal seam reached 375 mm, and the maximum surface subsidence value reached 263 mm. After releasing the constraint, the maximum direct roof subsidence of the coal seam reached 541 mm, and the maximum surface subsidence value reached 403 mm, which is much smaller than the subsidence value of 2804 mm in the caving mining method. A visual simulation study was conducted on the whole backfilling mining using numerical simulation software, which confirmed the conclusion of similar model experiments that the roof cutting and backfilling mining method can effectively control the overburden failure and surface subsidence.

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Research on the prediction of mine water inrush disasters based on multi-factor spatial game reconstruction

Zheng,

Wang,

Zhu

2024

Geomech. Geophys. Geo-energ. Geo-resour.

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Water damage in mines poses a widespread challenge in the coal mining industry. Gaining a comprehensive understanding of the multi-factor spatial catastrophe evolution mechanism and process of floor water inrush is crucial, which will enable the achievement of dynamic, quantitative, and precise early warning systems. It holds significant theoretical guidance for implementing effective water prevention and control measures in coal mines. This study focuses on the issue of water inrush in the coal seam floor, specifically in the context of Pengzhuang coal mine. By utilizing a small sample of non-linear characteristics derived from drilling geological data, we adopt a multifactor spatial perspective that considers geological structure and hydrogeological conditions. In light of this, we propose a quantitative risk prediction model that integrates the coupled theoretical analysis, statistical analysis, and machine learning simulation methods. Firstly, the utilization of a quantification approach employing a triangular fuzzy number allows for the representation of a comparative matrix based on empirical values. Simultaneously, the networked risk transmission effect of underlying control risk factors is taken into consideration. The application of principal component analysis optimizes the entropy weight method, effectively reducing the interference caused by multifactor correlation. By employing game theory, the subjective and objective weight proportions of the control factors are reasonably allocated, thereby establishing a vulnerability index model based on a comprehensive weighting of subjective and objective factors. Secondly, the WOA-RF-GIS approach is employed to comprehensively explore the interconnectedness of water diversion channel data. Collaborative Kriging interpolation is utilized to enhance the dimensionality of the data and facilitate spatial information processing. Lastly, the representation of risk is coupled with necessary and sufficient condition layers, enabling the qualitative visualization of quantitative results. This approach aims to accurately predict disaster risk with limited sample data, ultimately achieving the goal of precise risk assessment. The research findings demonstrate that the reconstructed optimization model based on multi-factor spatial game theory exhibits high precision and generalization capability. This model effectively unveils the non-linear dynamic processes associated with floor water inrush, which are influenced by multiple factors, characterized by limited data volume, and governed by complex formation mechanisms. The identification of high-risk areas for water inrush is achieved with remarkable accuracy, providing invaluable technical support for the formulation of targeted water prevention and control measures, ultimately ensuring the safety of coal mining operations.

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Overburden and surface subsidence with slicing paste filling mining in thick coal seams

Cited by 4 publications

References 30 publications

A Study of the Physical and Mechanical Properties of Yellow River Sediments and Their Impact on the Reclamation of Coal-Mined Subsided Land

A Study of the Physical and Mechanical Properties of Yellow River Sediments and Their Impact on the Reclamation of Coal-Mined Subsided Land

Law of overburden and surface deformation in roof cutting and backfilling mining under thin bedrock in shallow buried coal seam

Research on the prediction of mine water inrush disasters based on multi-factor spatial game reconstruction

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