Combined prediction model for mining subsidence in coal mining areas covered with thick alluvial soil layer

2016 ◽  
Vol 77 (1) ◽  
pp. 283-304 ◽  
Author(s):  
Dawei Zhou ◽  
Kan Wu ◽  
Xiexing Miao ◽  
Liang Li
Keyword(s):  
Prediction Model ◽  
Coal Mining ◽  
Soil Layer ◽  
Alluvial Soil ◽  
Mining Subsidence ◽  
Mining Areas

Present Situation of Research on Coal Mining Subsidence under Highway in China

2013 ◽  
Vol 664 ◽  
pp. 954-959
Author(s):  
Wei Nan Deng ◽  
Hua Xing Zhang
Keyword(s):  
Coal Mining ◽  
Present Situation ◽  
Mining Subsidence ◽  
Future Research ◽  
Research Directions ◽  
Mining Areas ◽  
Key Points ◽  
Safety Design ◽  
Future Research Directions ◽  
Coal Mining Subsidence

Research on coal mining subsidence under highway can be divided into two fields: research on the problems caused by coal mining under highway and research on the problems caused by highway construction above mined-out area of coal mine.The issues about safety，design and engineering are the key points restricting the safety and the construction of highway in coal mining areas. The paper completely summarized and analysed the present situation of research on coal mining subsidence under highway and the special characteristics comparing with the general building and the railway. In order to ensure the safety of existing highways and highways in planning in coal mining areas, according to the deficiency of current research, this paper put forward the future research directions of coal mining subsidence under highway.

Study of Failure Mechanism of Anti-Dip Rocks Materials Slope under Mining Subsidence

2010 ◽  
Vol 143-144 ◽  
pp. 1097-1101 ◽  
Author(s):  
Yi Qing Lv ◽  
Hong Fu Liu ◽  
Jian Jun Yang
Keyword(s):  
Failure Strain ◽  
Simulation Analysis ◽  
Soil Layer ◽  
Vertical Direction ◽  
Shear Resistance ◽  
Mining Subsidence ◽  
Mining Areas ◽  
Deformation And Fracture ◽  
Rock And Soil ◽  
Dip Slope

In order to protect the lives and property of mine workers, the influence of rocks materials slope induced by coal mining was presented. Based on geological data, a case of the mining areas of Fengmaoding anti-dip slope in China was studied using simulation analysis methods. Results show that deformation and fracture of this slope was influenced by mining subsidence, and the rock and soil layer made subsidence deformation in the vertical direction under geostatic pressure. After the deformation became stability, it would make failure strain in the horizontal direction. If initial stress of the slap’s failure in surface exceeded the shear resistance,the slope gradually slipped down, and the landslides occurred finally.

scholarly journals Study on soil pollution caused by heavy metals in coal mining areas and vegetation restoration in surrounding areas

2021 ◽  
Author(s):  
Xun Wang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Coal Mining ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Soil Layer ◽  
Mining Area ◽  
Vegetation Restoration ◽  
Mining Areas ◽  
Ligustrum Lucidum

Abstract In this study, taking a coal mining area as an example, three vegetation restoration modes were designed: Populus L., Ligustrum lucidum Ait., and Amygdalus persica L., and soil and plant samples were collected to determine and evaluate the heavy metals. It was found that all the three modes were effective in eliminating heavy metal pollution in the soil, especially Populus L. and Ligustrum lucidum Ait.; in the soil layer at a depth of 0–20 cm, the content of Cd was the lowest (2.68 mg/kg) in Populus L., and the content of Cr and Pb was the lowest (58.64 mg/kg and 95.36 mg/kg) in Ligustrum lucidum Ait., which was significantly lower than that in the bare land. The evaluation results demonstrated that the pollution under Populus L. and Ligustrum lucidum Ait. modes was moderate. In the aspect of the heavy metal content in plants, the content of Cd was the lowest, and the content of Cr and Pb was high. In the same plant, the content of heavy metals in the leaf was the lowest, followed by the stem and root. The experimental results show that the vegetation restoration mode can relieve the heavy metal pollution, which makes some contributions to solve the ecological restoration problem in coal mining areas.

Dynamic Prediction Model of Mining Subsidence Based on Cellular Automata

2014 ◽  
Vol 962-965 ◽  
pp. 1056-1061
Author(s):  
Xue Yang Sun ◽  
Yu Cheng Xia
Keyword(s):  
Cellular Automata ◽  
Prediction Model ◽  
Dynamic Model ◽  
Coal Mining ◽  
Mining Subsidence ◽  
Dynamic Evolution ◽  
Dynamic Prediction ◽  
Discrete Dynamic Model ◽  
Coal Mining Subsidence ◽  
Definition Of

Cellular Automata is a discrete dynamic model based on space-time, and is one of the effective methods to study complex systems. The CA, a new method applied to coal mining subsidence dynamic evolution model, provide a new idea for the prediction research of mining subsidence. Definition and basic theory of CA were introduced briefly. According to the particularity of the research in the field of mining subsidence, the definition of CA is extended. The model of dynamic evolution of mining subsidence is built on the CA. Then modeling method and the structure of model are elaborated, and the advantages of the CA are applied to coal mining subsidence prediction model is analyzed.

scholarly journals Response of Soil Microbes to Vegetation Restoration in Coal Mining Subsidence Areas at Huaibei Coal Mine, China

2019 ◽  
Vol 16 (10) ◽  
pp. 1757 ◽  
Author(s):  
Shiyong Sun ◽  
Hui Sun ◽  
Deshun Zhang ◽  
Jianfeng Zhang ◽  
Zeyu Cai ◽  
...  
Keyword(s):  
Coal Mining ◽  
Coal Mine ◽  
Catalase Activity ◽  
Urease Activity ◽  
Soil Microbes ◽  
Soil Depth ◽  
Soil Layer ◽  
Vegetation Restoration ◽  
Mining Subsidence ◽  
Coal Mining Subsidence

Vegetation restoration is an available way to ameliorate degraded lands. In order to study the response of soil microbes to vegetation restoration in coal mining subsidence areas, the composition and distribution of soil microbes were discussed through three plots: unsubsided area (CA), new subsided area (NSA), and old subsided area (OSA) with different vegetation restoration time in Huabei coal mine. Meanwhile, changes in soil catalase and urease activity were explored and the correlation between soil bacteria, fungi, and environmental factors was analysed. The results demonstrated that Nitrospira was the dominant bacteria in all areas sampled. Microorganisms in the 0–20 cm and 40–60 cm soil layers of OSA had the highest Simpson index, whereas the index in NSA was lowest (at all soil depths). The catalase activity in NSA was significantly higher than that in CA, and there was no significant difference in catalase activity with soil depth, while the urease activity declined gradually with increasing soil depth. The urease activity in the 20–60 cm soil layer of NSA and OSA was significantly higher than that of CA. Furthermore, the distribution of bacteria was mainly affected by soil organic matter, available potassium, available phosphorus, and alkali-hydrolyzable nitrogen, whereas pH and catalase activity mainly affected fungal distribution. These results implied that soil catalase activity in NSA and urease activity in the 20–40 cm soil layer of NSA and OSA were significantly enhanced after vegetation restoration, and that long-term plant restoration could improve soil fertility and soil microbial community diversity in coal mining areas.

Research and Application on Technology of Flood-Storage and Flood-Detention of Coal Mining Subsidence Area of Suzhou Coal Mine

2014 ◽  
Vol 641-642 ◽  
pp. 80-83
Author(s):  
Jia Zhong Zheng ◽  
Mei Zhu ◽  
Zheng Long Wang
Keyword(s):  
Coal Mining ◽  
Dynamic Change ◽  
Storage Conditions ◽  
Flood Routing ◽  
Mining Subsidence ◽  
Subsidence Area ◽  
The Status ◽  
Suzhou City ◽  
Change Trend ◽  
Coal Mining Subsidence

The artical is based on the investigation of the basis of the status quo of Zhuxianzhuang and Luling coal mining subsidence area in Anhui province Suzhou city(hereinafter referred to as the "Zhu Lu subsidence area"), a preliminary analysis of the dynamic change trend of detention space in Zhu Lu subsidence area, and based on the hysteresis storage conditions of subsidence area, use the flood routing model to simulate the hysteresis effect of storage at different subsidence scenarios of different frequency flood. Finally, using the experience type channel evolution model and peak delay routing model further revealed storage effect on flood process of Zhu Lu subsidence area.

Strategies for follow-up care and utilisation of closing and flooding in European hard coal mining areas

2012 ◽  
Vol 89 ◽  
pp. 51-61 ◽  
Author(s):  
C. Klinger ◽  
A. Charmoille ◽  
J. Bueno ◽  
G. Gzyl ◽  
B. Garzon Súcar
Keyword(s):  
Coal Mining ◽  
Hard Coal ◽  
Mining Areas ◽  
Follow Up Care ◽  
Hard Coal Mining
Sign in / Sign up

Export Citation Format

Share Document