Experimental Research On Radar Remote Sensing Monitoring of Coal Mining Subsidence in Loess Mining Area

2018 ◽  
Author(s):  
Dong LongKai ◽  
Tang FuQuan
Keyword(s):  
Remote Sensing ◽  
Coal Mining ◽  
Experimental Research ◽  
Mining Area ◽  
Mining Subsidence ◽  
Radar Remote Sensing ◽  
Remote Sensing Monitoring ◽  
Coal Mining Subsidence

Investigation and Evaluation of Land Ecological Status of Coal Mining Subsidence in Huang Huai Hai Area

2014 ◽  
Vol 1065-1069 ◽  
pp. 3157-3160
Author(s):  
Ji Yi Zhang ◽  
Xian Ming Guan ◽  
Rui Xia
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Coal Mining ◽  
Field Survey ◽  
Ecological Status ◽  
Research Area ◽  
Ecological Condition ◽  
Mining Subsidence ◽  
Coal Mining Subsidence

Based on technology of Geographic Information System, Geographic Position System and Remote Sensing, land ecological status of coal mining subsidence in Huang Huai Hai area is investigated and evaluated. The investigation and evaluation database for land ecological status of research area is constructed after field survey and information extracted from the current land ecological condition in this paper. Research results in this paper can be used to restore the land ecosystem of coal mining subsidence in Huang Huai Hai region.

scholarly journals The spatiotempora variations rules of Songzao coal mining subsidence based on numerical simulation

2015 ◽  
Vol 372 ◽  
pp. 403-409
Author(s):  
J. Lu ◽  
Y. Li ◽  
H. Cheng ◽  
Z. Tang
Keyword(s):  
Numerical Simulation ◽  
Coal Mining ◽  
Land Subsidence ◽  
Mining Area ◽  
Surface Subsidence ◽  
Mining Subsidence ◽  
Spatiotemporal Variations ◽  
Simulation Data ◽  
Subsidence Rate ◽  
Coal Mining Subsidence

Abstract. With the increasing demand of coal, coal mining at Songzao makes the area of land subsidence growing larger. Land subsidence in coal mining area not only made large subsided farmland out of production and caused the enormous loss to local agricultural production, but also brought a number of serious problems to the local social economy and ecology Environment. To use Probability-integral Method based on numerical simulation of Songzao Mine, its subsidence simulation data from 1999 to 2009 was obtained. Hence, overlay analysis between Goaf data and the simulation data in 2009, and between field investigation and the simulation data in 2009 were carried out. After the coal mining underground was identified as the crucial cause of surface subsidence. Therefore, the accuracy and feasibility of the simulation data had been verified, and the spatial pattern and spatiotemporal variations conforming to the actual values have been obtained. The results show five main findings. The first indicated that the surface subsidence is mostly located at the top of the Goaf, where the overlap areas between Goaf data and subsidence simulation data have accounted for 93.05 % of Goaf and 65.19 % of subsidence simulation data respectively. The second finding indicated that by end of 2009, the mining subsidence extent had reached about 5087.50 hm2. This area accounts for about 40 % of total of the mining area. The third finding indicated that within 10 years from 1999 to 2009, the influence range of subsidence has expanded about 2340.54 hm2, and the coal mining subsidence rate in Songzao Mine has increased gradually with time. Moreover, average increasing speed of the extent area in the second five years was larger than the first five years (about 75.08 hm2 yr−1 more). The fourth finding indicated that maximum subsidence has increased from 2.0 m in 1999 to 2.5 m in 2004, and then 3.0m in 2009 with subsidence rate of about 0.1 m yr−1. At the same time, the area affected by the subsidence 2.0 m in 1999 was more than twice the area affected by subsidence in 2004. This in return, it was more than 7 times larger than the area affected by subsidence in 2009 of the one affected by subsidence in 2004. Extent of the area affected by the 2.5 m subsidence has also enlarged rapidly. This area has expanded by about 40 times in 2009 than its value in 2004. In addition, the area of subsidence of value 3.0 m has reached about 0.44 hm2 in 2009 from zero value. Finally, the fifth finding indicated that the overall extend of the mining subsidence was much more serious in southern than in northern side of the Songzao Mine. Moreover, it was indicated that the increasing rate of mining subsidence in the western side of the study area was as bigger as in the eastern side between 1999 and 2009. The spatiotemporal variations rules of songzao coal mining subsidence based on numerical simulation could provide reference for the subsequent subsidence prevention and land consolidation.

The Study on Land Reclamation Technology and Ecological Control for Coal Mining Subsidence Area

2012 ◽  
Vol 446-449 ◽  
pp. 2973-2977 ◽  
Author(s):  
Qian Yang ◽  
Wen Sheng Liu
Keyword(s):  
Coal Mining ◽  
Land Reclamation ◽  
Human Life ◽  
Mining Area ◽  
Ecological Crisis ◽  
Mining Subsidence ◽  
Ecological Control ◽  
Subsidence Area ◽  
Environment And Development ◽  
Coal Mining Subsidence

Both coal mine and land are important natural resources that human depend on for existence and development. Coal mining has contributed greatly to the development of economy and society in China. Meanwhile, subsidence induced by coal mining has seriously affected human life, ecological environment and development of regional economy in mining area. Thus, aiming at coal mining subsidence area, this paper puts forward two kinds of land reclamation techniques containing engineering reclamation technology and biological reclamation technology, which can scientifically guide land reclamation practice, coordinate relationship between human and land and relax ecological crisis.

scholarly journals Comparison of Plant and Microbial Communities between an Artificial Restoration and a Natural Restoration Topsoil in Coal Mining Subsidence Area

2018 ◽  
Author(s):  
Ying Liu ◽  
Shaogang Lei ◽  
Chuangang Gong ◽  
Zhengfu Bian
Keyword(s):  
Bacterial Community ◽  
Microbial Communities ◽  
Coal Mining ◽  
Ecological Restoration ◽  
Mining Area ◽  
Mining Subsidence ◽  
Subsidence Area ◽  
Natural Restoration ◽  
Coal Mining Subsidence ◽  
Artificial Restoration

Increased attention has been paid to the influence of coal mining subsidence on ecological environment. Restoration of ecosystem in damaged mining area is critical for restoring disturbed environment. The comparing of plant communities and microbial communities in the artificial restoration and natural restoration areas provides an effective method for evaluating the restoration effects. However, such studies are limited in coal mining subsidence restoration areas. Subsidence area in Shendong mining area, located in the semi-arid region of Western China, was restored from 2003 with 5 ecological restoration plant species. In July 2017, the comparison and analysis of plant and microbial communities were conducted at the artificial restoration areas (AR) and the natural remediation areas (NR). The results showed that the artificial ecological restoration in Shendong mining area has achieved some success, but it has not recovered to a similar ecosystem before the destruction. A higher plant species, coverage and bacterial community diversity were observed in AR. However, these features have lower similarity compared with those in NR sites. Potential soil factors, such as pH, moisture content, total carbon content, organic matter, nitrogen and bulk density, have a greater impact on soil bacterial community structure and diversity. In the ecological restoration of the mining area, attention should be paid to the restoration of soil properties in the mining area. This study can provide theoretical guidance for more scientific ecological restoration in the damaged mining area.

Evaluation to Damage Situation of Coal Mining Subsidence Land in Mountainous Area Based on MSPS and GIS

2012 ◽  
Vol 518-523 ◽  
pp. 5692-5696 ◽  
Author(s):  
Xiao Jing Li ◽  
Fang Shao ◽  
Jing Li ◽  
Xian Liu
Keyword(s):  
Coal Mining ◽  
Delphi Method ◽  
Analytical Method ◽  
Mining Area ◽  
Mining Subsidence ◽  
Mountainous Area ◽  
Raster Data ◽  
Positive Correlation ◽  
Evaluation Indexes ◽  
Coal Mining Subsidence

Take Songzao mining area in Chongqing for example, the damage situation of coal mining subsidence land in mountainous area was studied, optimum evaluation indexes for damage situation of land was selected by discussing existing evaluation indexes, and the contestant standard formed by using Delphi method, and grade of damage situation of coal mining subsidence land was confirmed by overlying analytical method of GIS raster data. The results showed that the degree of land destruction most belong to slight and middle damage, the relatively serious damage forms were collapse pit and collapse crack, and the degree of land destruction tends to weaken gradually from mining center to edge. There was a positive correlation between the degree of land destruction and mining degree.

scholarly journals Research on InSAR Monitoring Precision Analysis of Coal Mining Influence Based on Long Time Sequence

2021 ◽  
Vol 237 ◽  
pp. 01016
Author(s):  
Junhai Gao ◽  
Rongjiu Gao ◽  
Lisheng Chen ◽  
Yongbin Han ◽  
Jiancheng Yan ◽  
...  
Keyword(s):  
Coal Mining ◽  
Stable State ◽  
Mining Area ◽  
Time Sequence ◽  
Mining Subsidence ◽  
Long Time ◽  
Coal Mining Subsidence ◽  
Surrounding Areas ◽  
Monitoring Precision ◽  
The Impact

In this paper, in view of the scope of coal mining subsidence, the magnitude of subsidence deformation and the impact on buildings (structures), InSAR technology is selected for monitoring, time series analysis method combined with D-InSAR method for processing, and Sentinel- 1 Satellite IW data and RADARSAT-2 satellite XF data have been monitored for four years in the mining-affected area and its surrounding areas. The results show that there are obvious subsidence ranges on the surface of the current mining area and the unstable settlement area. The Shen District has been in a stable state in recent years, and the time sequence analysis for more than 3 years has verified the high accuracy and reliability of the monitoring results. The analysis of the monitoring results shows that the InSAR technology can be used for mining subsidence monitoring, especially when determining the subsidence boundary and whether it is stable or not, it has its technical superiority.

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