A Dynamics Optimization of Scheduling for Excavating Development Project in Complicated Ore Mining below Railway Special Line

2012 ◽  
Vol 204-208 ◽  
pp. 1553-1558
Author(s):  
Li Chun Jiang ◽  
Liu Qing Hu ◽  
Xiao Hui Ren
Keyword(s):  
Underground Mining ◽  
Mining Area ◽  
Development Project ◽  
Time Sequence ◽  
Underground Engineering ◽  
Construction Time ◽  
Unbalanced Force ◽  
Preventive Actions ◽  
Project Construction ◽  
Force Time

Disturbance of ground structures by the excavation of underground engineering is a non-linear mechanical behavior process. To find time sequence with the smallest disturbance is important for the safety of mining below railway, river, and building (three-underground mining). A numerical simulation was carried out by 3DEC in mining area. The maximum Lyapunov indices are obtained from the time curves of the maximum unbalanced force. The reasonable time sequence schemes of development project construction under railway in the east ore body of XinQiao Pyrite Mine are compared. The results show that the effect of the data analysis method about the information of unbalanced force-time record based on the chaotic dynamics theory is very positive. It can minimize the risk of scheme with the priority of single mechanical (displacement) index, direct the actual construction effectively and guarantee the safety of ‘three-underground’ complex ore mining by preventive actions in supporting, shortening construction time and other strong measures.

Environmental Impact Assessment for Zhonghang Housing Development in Huidong County of Guangdong

2013 ◽  
Vol 772 ◽  
pp. 831-834
Author(s):  
Jian She Yang ◽  
Xiao Hua Zhong
Keyword(s):  
Waste Water ◽  
Water Pollution ◽  
Environmental Impact ◽  
Adverse Effects ◽  
Development Project ◽  
Housing Development ◽  
Construction Period ◽  
Operation Period ◽  
Project Construction ◽  
Project Characteristics

According to the Zhonghang construction project characteristics in Huidong county of Guangdong, the possible effects of pollution occurred in the development project construction period and the operation period have been respectively elaborated here. The dust occurred on construction period, waste water pollution of the operation period, and the adverse effects schemehis have been analyzed in the paper. Some concrete measurements for Zhonghang in satisfy human living project been put out.

scholarly journals Remote Sensing Monitoring of Soil Moisture in the Daliuta Coal Mine Based on SPOT 5/6 and Worldview-2

2019 ◽  
Vol 11 (1) ◽  
pp. 866-876
Author(s):  
Ying Liu ◽  
Hui Yue
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Scale Effect ◽  
Coal Mine ◽  
Surface Soil ◽  
Underground Mining ◽  
Mining Area ◽  
Surface Soil Moisture ◽  
Temporal And Spatial ◽  
Spot 5

Abstract To understand the influence of underground mining disturbances on the shallow soil moisture in the Daliuta coal mine, remote sensing monitoring of the temporal and spatial evolution of surface soil moisture and the influence of mining on multi-source, multi-temporal and high spatial resolution remote sensing data were carried out. The scale effect of monitoring the soil moisture at different scales was analyzed using the Scaled Soil Moisture Monitor Index (S-SMMI). In this paper, SPOT 5/6 and Worldview-2 were used as the data source and mainly made up two aspects of the research: 1) based on the three SPOT data sets with the use of S-SMMI from different angles from the Daliuta mine from nearly three years of soil moisture temporal and spatial changes, the results show that the perturbation has a negative effect on the shallow soil moisture in the Daliuta coal mine, and average soil moisture of the mining area is smaller than the non-mining area, but the surface ecological construction has effectively improved the impact of the underground mining disturbance on the surface soil moisture. 2) the scale conversion of Worldview-2 data was carried out based on the resampling method. S-SMMI was used to analyze the scale effect of soil moisture monitoring at different scales. The results show that the difference between the soil moisture is only 0.0016 during the conversion process of 2 m-30 m.

Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification

2019 ◽  
Vol 11 (14) ◽  
pp. 1719 ◽  
Author(s):  
Jiaxin Mi ◽  
Yongjun Yang ◽  
Shaoliang Zhang ◽  
Shi An ◽  
Huping Hou ◽  
...  
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Land Cover ◽  
Large Scale ◽  
Underground Mining ◽  
Mining Area ◽  
Random Forest Classifier ◽  
Land Use Land Cover ◽  
Lulc Change ◽  
Mining Areas

Understanding the changes in a land use/land cover (LULC) is important for environmental assessment and land management. However, tracking the dynamic of LULC has proved difficult, especially in large-scale underground mining areas with extensive LULC heterogeneity and a history of multiple disturbances. Additional research related to the methods in this field is still needed. In this study, we tracked the LULC change in the Nanjiao mining area, Shanxi Province, China between 1987 and 2017 via random forest classifier and continuous Landsat imagery, where years of underground mining and reforestation projects have occurred. We applied a Savitzky–Golay filter and a normalized difference vegetation index (NDVI)-based approach to detect the temporal and spatial change, respectively. The accuracy assessment shows that the random forest classifier has a good performance in this heterogeneous area, with an accuracy ranging from 81.92% to 86.6%, which is also higher than that via support vector machine (SVM), neural network (NN), and maximum likelihood (ML) algorithm. LULC classification results reveal that cultivated forest in the mining area increased significantly after 2004, while the spatial extent of natural forest, buildings, and farmland decreased significantly after 2007. The areas where vegetation was significantly reduced were mainly because of the transformation from natural forest and shrubs into grasslands and bare lands, respectively, whereas the areas with an obvious increase in NDVI were mainly because of the conversion from grasslands and buildings into cultivated forest, especially when villages were abandoned after mining subsidence. A partial correlation analysis demonstrated that the extent of LULC change was significantly related to coal production and reforestation, which indicated the effects of underground mining and reforestation projects on LULC changes. This study suggests that continuous Landsat classification via random forest classifier could be effective in monitoring the long-term dynamics of LULC changes, and provide crucial information and data for the understanding of the driving forces of LULC change, environmental impact assessment, and ecological protection planning in large-scale mining areas.

scholarly journals Analysis of methane hazard in longwall working equipped with a powered longwall complex

2020 ◽  
Vol 174 ◽  
pp. 01011
Author(s):  
Leszek Sobik ◽  
Jarosław Brodny ◽  
Gennady Buyаlich ◽  
Pavel Strelnikov
Keyword(s):  
High Performance ◽  
Underground Mining ◽  
Practical Knowledge ◽  
Mining Operation ◽  
Mining Area ◽  
Hard Coal ◽  
Coal Seams ◽  
Methane Drainage ◽  
High Degree ◽  
Advanced Model

Most of currently exploited hard coal seams has a very high degree of methane saturation. Consequently, the mining process of such deposits generates substantial amounts of methane. This in turn increases the risk of fire and/or explosion of this gas. Methane hazard is currently one of the most dangerous threats occurring in the process of underground mining exploitation. In particular, this applies to longwall excavations where the rock mass mining process generates the highest level of this gas. Commonly used high-performance longwall complexes cause an increase in the amount of coal output, which also causes an increase in the amount of methane released. In order to prevent hazardous concentrations, appropriate ventilation systems and atmosphere monitoring in mining excavations are used. The paper discusses currently used methods designed to limit risks caused by methane such as methane drainage. The paper presents an example of the use of an innovative method of analysing methane risk status and measures aimed at minimizing it. The developed method is based on air parameters in the actual mining area which were then used to create a method of ventilation for such excavations. The method combines advanced model analysis and experience of mine employees and integrates academic and practical knowledge. The main objective of the activities presented in the article was to improve the safety of mining operation

Analysis on Ground Subsidence in Underground Mining

2011 ◽  
Vol 383-390 ◽  
pp. 2201-2205
Author(s):  
Xin Xi Liu ◽  
Xue Zhi Wang
Keyword(s):  
Underground Mining ◽  
Ground Deformation ◽  
Coal Pillar ◽  
Mining Area ◽  
Ground Subsidence ◽  
Recovery Coefficient ◽  
Mining Width ◽  
Movement And Deformation ◽  
Relationship Of ◽  
The Relationship

Analysis on the characters of ground subsidence of Yangjiaping mining area, with same excavation depth and recovery coefficient, the numerical simulations to nonlinear large deformation using finite-difference method(FLAC) are achieved on the different strip extraction schemes that adopted different mining and reservation width. The result indicates that the subsidence values and horizontal deformation increases with the increasing of the strip extraction width on condition of the same recovery rate. Based on probability density function (PDF) method, the relationship of the coal pillar width, the mining width and ground deformation is acquired, which is some useful reference for using the strip extraction method to control the surface movement and deformation.

Study on Surface Subsidence Law Induced by Deep Mining of Large Steep Metal Deposit

2013 ◽  
Vol 295-298 ◽  
pp. 2902-2905
Author(s):  
Yan Hui Guo ◽  
Ke Peng Hou
Keyword(s):  
Surface Deformation ◽  
Three Dimensional ◽  
Mining Area ◽  
Surface Subsidence ◽  
Ground Movement ◽  
Technological Problem ◽  
Underground Engineering ◽  
Deep Mining ◽  
Displacement Angle ◽  
Dimensional Simulation

To solve this difficult technological problem that predicts the surface subsidence that induced by deep mining of large steep deposit. Through understanding engineering geological characteristics and mining conditions for a certain mining area, the three-dimensional simulation model of deep mining with a high degree similarity in space and mechanics morphology have been established, and the exploitation of the mining area has been systematically simulated. After excavation of the third stage, the calculated values of surface subsidence coincided with the measured values of GPS. Then it has been more accurately predicted surface subsidence and displacement angle and the range of surface deformation which were induced by deep mining in fourth stage project. It provides the basis for the positioning of underground engineering and design of the range of ground movement in deep mining.

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