Relationship between surface subsidence factor and mining depth of strip pillar mining

Guo, Wei; Hou, Quanlin; Zou, Youfeng

doi:10.1016/s1003-6326(12)61646-x

Cited by 19 publications

(12 citation statements)

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“…fuzzy approach to ground subsidence mapping (Choi et al 2010), and various statistical and artificial neural network methods (Oh and Lee 2011;Guo et al 2011;Lee and Park 2013;Mathey 2013;Park et al 2014). These studies focus predominately on horizontal, single coal seam cases and in none of them, thickness, inclination of exploited coal panels and mining system factors have been considered.…”

Section: Gwr Model Resultsmentioning

confidence: 99%

Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)

Blachowski

2016

Nat Hazards

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Land subsidence in the area of the city of Walbrzych (SW Poland) has been a consequence of underground mining of hard coal. Exploitation of multiseam deposit took place for several 100 years and ended in the late 90'ties of the twentieth century. During this time, many buildings and constructions were affected by subsidence-related damages and new landforms including mining waste dumps have developed on the surface in a consequence of underground extraction of coal. Previous studies indicated that cumulative subsidence calculated with the empirical Knothe theory reached -22 m, whereas calculations based on results of cartographic data processing showed more than -30 m (± 3 m) pointing to insufficient reliability of traditional methods when applied in complex and complicated conditions (multiseam and steeply inclined deposits). Present-day height of manmade landforms in areas affected by subsidence reaches 63 m (± 3 m). Therefore, in the presented research, a weighted spatial regression method has been proposed for analysis and modelling of mining induced land subsidence. The study concerned the former Walbrzych coal mine area and the 1886-2009 period. The subsidence modelling has been done in geographic information systems with geographically weighted regression (GWR) method that allows for spatial variability of subsidence factors. Four, out of the analysed seven, subsidence factors were identified as significant (thickness, inclination and depth of coal levels and surface slope) and used as independent (explanatory) variables in construction of the subsidence model with the GWR method. The validated model was used to estimate subsidence in up to now unmapped areas transformed by manmade landforms. The maximum predicted subsidence in these parts for the 1886-2009 period reaches -10.5 m. In the result, a spatial representation (hybrid map) of subsidence for the entire Walbrzych coal mine has been produced.

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Section: Gwr Model Resultsmentioning

confidence: 99%

Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)

Blachowski

2016

Nat Hazards

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“…In the circumstances that a river passes through a mining-influenced area or a water-bearing stratum exists in the roof strata, however, the water in-rush could bring about a water inrush accident or hazard to the mine in the event that a waterresisting stratum in the roof strata is broken under the influence of underground mining. In order to effectively control the subsidence of surface land as well as to protect the ecological environment, some specific mining methods have been proposed and employed in practice, such as the strip mining method, the room and pillar mining method [5], and the back filling mining method [6], etcetera.…”

Section: Introductionmentioning

confidence: 99%

Seepage prevention of mining-disturbed riverbed

Jin-an

Tang

Shen-hua

2015

International Journal of Rock Mechanics and Mining Sciences

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“…However, with the long-term uncontrolled mining of coal resources, in China, some old mining areas are facing the situation of exhaustion, and most of the coal resources that have not been mined belong to the "three under" (under buildings, railways, and water) pressed coal [9][10][11][12]. The key to solve the problem of "three under" pressed coal is the control technology of surface subsidence [13].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis and Numerical Simulation Study on Main Controlling Factors of Surface Movement and Deformation in Strip Filling Mining under Thick Unconsolidated Layers

Sun

et al. 2021

Geofluids

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In many mining areas, there is a lot of pressed coal under buildings, railways, and water bodies, and there are geological conditions of thick unconsolidated layers, so the surface subsidence has certain particularity. The key to solve the problem of pressed coal is the control technology of surface subsidence. The development of strip filling technology provides a kind of economical and effective surface subsidence control technology. With the passage of time, the natural weathering, flow, and fracture of some coal pillars may lead to the instability and failure of some coal pillars. Therefore, the selection of filling parameters plays an important role in the stability of coal pillars. In order to study the influence factors of surface movement and deformation, considering the influence factors of filling rate, key layer thickness, filling body strength, and unconsolidated layer thickness, FLAC 3D was used to simulate the surface movement deformation, and the orthogonal test method was used to analyze the simulation results, and the sensitivity of the main control factors affecting the surface deformation affected by strip filling mining was studied. The results show that the order of importance of the four factors on the four surface movement and deformation parameters is filling rate > key layer thickness > filling body strength > unconsolidated layer thickness. The influence of these four factors on the surface movement and deformation parameters is gradually decreasing, but the influence degree of different factors has drawn a certain gradient.

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Relationship between surface subsidence factor and mining depth of strip pillar mining

Cited by 19 publications

References 0 publications

Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)

Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)

Seepage prevention of mining-disturbed riverbed

Sensitivity Analysis and Numerical Simulation Study on Main Controlling Factors of Surface Movement and Deformation in Strip Filling Mining under Thick Unconsolidated Layers

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