scholarly journals Carbon Dynamics of Reclaimed Coal Mine Soil under Agricultural Use: A Chronosequence Study in the Dongtan Mining Area, Shandong Province, China

2017 ◽  
Vol 9 (4) ◽  
pp. 629 ◽  
Author(s):  
Jun-Feng Qu ◽  
Yu-Le Hou ◽  
Meng-Yu Ge ◽  
Kun Wang ◽  
Shu Liu ◽  
...  
Keyword(s):  
Coal Mine ◽  
Carbon Dynamics ◽  
Mining Area ◽  
Shandong Province ◽  
Mine Soil ◽  
Agricultural Use

scholarly journals CARBON DYNAMICS OF RECLAIMED COAL MINE SOIL: A CHRONOSEQUENCE STUDY IN THE GEVRA MINING AREA, KORBA, CHHATTISGARH, INDIA

Authorea ◽  
2020 ◽  
Author(s):  
Preeti Singh ◽  
Amlan Ghosh ◽  
Santosh Kumar ◽  
Manoj Kumar ◽  
Seema Chahar ◽  
...  
Keyword(s):  
Coal Mine ◽  
Carbon Dynamics ◽  
Mining Area ◽  
Mine Soil

Geological Factors Analysis of Gas Unusual Area in Southwest of Shandong Province

2013 ◽  
Vol 734-737 ◽  
pp. 106-110
Author(s):  
Yan Ru Meng ◽  
Nan Jiang ◽  
Wen Feng Ning ◽  
Chong Qiu Zhong ◽  
Kun Peng Gao ◽  
...  
Keyword(s):  
Coal Mine ◽  
Theoretical Foundation ◽  
Mining Area ◽  
Shandong Province ◽  
Magma Intrusion ◽  
Factors Analysis ◽  
Geological Factors

Gas geological law in southwest of Shandong province was studied with theoretical foundation and method of gas geology in this paper. It finds that the area in southwest of Shandong province is mostly low gas mining area. But Fucun coal mine of Tengnan mining area, Sanhekou coal mine, Jinyuan coal mine, Tangkou coal mine of Jining mining area and Zhaoguan coal mine of Huanghebei mining area are all gas unusual area. Among them, Fucun coal mine, Sanhekou coal mine and Jinyuan coal mine appear high gas unusual which are mainly affected by magma intrusion, Tangkou and Zhaoguan coal mine form gas unusual area which are mainly affected by thickness of upper bedrock.

Freezing Pressure and its Influencing Factors of Deep Clay Layer in the Huainan Mining Area

2012 ◽  
Vol 170-173 ◽  
pp. 836-841
Author(s):  
Wei Shao ◽  
Bin Lin
Keyword(s):  
Coal Mine ◽  
Good Description ◽  
Mining Area ◽  
Frost Heave ◽  
Dynamic Monitoring ◽  
Clay Layer ◽  
Formation Pressure ◽  
Closed Systems ◽  
Permanent Formation ◽  
Layer Deformation

Gu Bei coal mine deep shaft freezing pressure of calcareous clay dynamic monitoring showed that the freezing pressure of the calcareous clay fastest grow in the first 2 weeks after the sidewall concrete pouring , freezing pressure has obvious direction . Analysis showed that the layer of freezing pressure is mainly calcareous clay layer deformation pressure, size and the temperature of well has a positive correlation. Maximum freezing pressure of the deep calcareous clay layer approximate the permanent formation pressure values and the maximum frost heave force determined by the frost heave experiments in indoor closed systems ,the average freezing pressure with depth variation of the exponential function can be used to good description.

The Characteristics of Collapse Columns in Duanwang Minefield and their Influences on Gas Emission Quantities of Coal Faces

2013 ◽  
Vol 634-638 ◽  
pp. 3537-3540
Author(s):  
Xin Xian Zhai ◽  
Xiao Ju Li ◽  
Yan Wei Zhai
Keyword(s):  
Coal Mine ◽  
Production Capacity ◽  
Mining Area ◽  
Mine Safety ◽  
Shanxi Province ◽  
Free Form ◽  
Karst Collapse ◽  
Coal Face ◽  
Gas Emission ◽  
Mining Depth

Duanwang Coal Mine is located at north of Qinshui coalfield in Shanxi province, China, which gently inclined and thick seams have been mined. Authorized production capacity of the coal mine is 1.8Mt/a. With the increase of mining depth, the mine gas emission quantity increased. Karst collapse columns are very developed in the minefield, and the phenomenon of abnormal gas emission always occurred at the coal face and driving gateway around the collapse columns, then the mine became high gassy one from low gassy mine. Using field measurement and theoretical analysis methods, the following conclusion can be drawn. Karst collapse columns have significant influences on gas emission of the coal face and driving gateway. Here are large amount of free form gas into and around the collapse columns, the collapse columns were disclosure while driving gateway, a large amount of the free gas into collapse column would be instantly released, which caused abnormal gas emission at driving gateway, even leading to gas density exceeding limitation by Coal Mine Safety Regulation of China. However, during mining area of the collapse columns, gas emission quantity at coal face was relatively smaller.

scholarly journals Water level collapse effect of deep well in mining area

2021 ◽  
Vol 233 ◽  
pp. 03037
Author(s):  
LIN Mei ◽  
DONG Xiaona
Keyword(s):  
Water Level ◽  
Coal Mine ◽  
Earth Tide ◽  
Mining Area ◽  
Observation Data ◽  
Aquifer System ◽  
Deep Well ◽  
Original Curve ◽  
Level Data ◽  
Water Level Data

The use of Zaozhuang of Shandong province coal mine area is tao chong lu 15 Well and meteorological observation data, the three elements of observation Wells with tao chong effect comparing the dynamic characteristics of the mines. It is difficult to determine whether the stress state of the aquifer system in which the well was observed before the collapse has changed because of the water level in the deep well of Lu15 well on the original curve. Nakai fitting model is adopted to calculate the earth tide response amplitude factor ratio based on the water level data of Lu15 well, and the possibility of collapse caused by stress change is discussed in combination with non-natural seismic events in Taozhuang Coal mine

scholarly journals Characteristics of New Permanent Magnetic Eddy Current Drive System of the Scraper Conveyor

2021 ◽  
Author(s):  
shuang wang ◽  
Yongcun GUO ◽  
Deyong LI
Keyword(s):  
Eddy Current ◽  
Coal Mine ◽  
Mining Area ◽  
Current Drive ◽  
Drive System ◽  
Model Accuracy ◽  
Working Face ◽  
Scraper Conveyor ◽  
Mining Face ◽  
Motion Characteristics

Abstract This study provides a new permanent magnetic eddy current drive system to solve the ener-gy-saving drive problem of the scraper conveyor working under bad conditions, including overload startup, severe abrasion and pollution. Considering the practical conveying conditions of the scraper chain on a fully mechanised coal mining face, this study creates a mathematical model for the new permanent magnetic eddy current drive system of the scraper conveyor based on its characteristics and indicates the motion characteristics of the scraper chain driven by two wheels. This study verifies the model accuracy with a pre-startup technology depending on the scraper conveyor on the No. 12318 working face of the 8th coal mine in the West No. 1 mining area of the Pansan Coal Mine of the Huainan Mining Group. According to the results, the motion acceleration of the scraper chain based on the new permanent magnetic eddy current drive is lower than that of the scraper chain with a hydraulic coupler under the same running condition and load during startup and acceleration and declines by approximately 14.7%. Consequently, this can decline the startup impact due to the serious abrasion and frequent overload of the scraper chain working under bad conditions.

scholarly journals Prediction of the First Weighting from the Working Face Roof in a Coal Mine Based on a GA-BP Neural Network

2019 ◽  
Vol 9 (19) ◽  
pp. 4159
Author(s):  
Tan ◽  
Yang ◽  
Chang ◽  
Zhao
Keyword(s):  
Neural Network ◽  
Coal Mine ◽  
Bp Neural Network ◽  
Prediction Models ◽  
Initial Pressure ◽  
Mining Area ◽  
Mine Pressure ◽  
Mine Production ◽  
Production Safety ◽  
Matlab Programming

The accidents caused by roof pressure seriously restrict the improvement of mines and threaten production safety. At present, most coal mine pressure forecasting methods still rely on expert experience and engineering analogies. Artificial neural network prediction technology has been widely used in coal mines. This new approach can predict the surface pressure on the roof, which is of great significance in coal mine production safety. In this paper, the mining pressure mechanism of coal seam roofs is summarized and studied, and 60 sets of initial pressure data from multiple working surfaces in the Datong mining area are collected for gray correlation analysis. Finally, 12 parameters are selected as the input parameters of the model. Suitable back propagation (BP) and GA(genetic algorithm)-BP initial roof pressure prediction models are established for the Datong mining area and trained with MATLAB programming. By comparing the training results, we found that the optimized GA-BP model has a larger determination coefficient, smaller error, and greater stability. The research shows that the prediction method based on the GA-BP neural network model is relatively reliable and has broad engineering application prospects as an auxiliary decision-making tool for coal mine production safety.

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