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 ◽  
...  

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.

Author(s):  
J. Lu ◽  
Y. Li ◽  
H. Cheng ◽  
Z. Tang

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.


2012 ◽  
Vol 446-449 ◽  
pp. 2973-2977 ◽  
Author(s):  
Qian Yang ◽  
Wen Sheng Liu

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.


Author(s):  
Ying Liu ◽  
Shaogang Lei ◽  
Chuangang Gong ◽  
Zhengfu Bian

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.


2012 ◽  
Vol 518-523 ◽  
pp. 5692-5696 ◽  
Author(s):  
Xiao Jing Li ◽  
Fang Shao ◽  
Jing Li ◽  
Xian Liu

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.


2015 ◽  
Vol 1092-1093 ◽  
pp. 1087-1091
Author(s):  
Ting Ting Wei ◽  
Chao Chen ◽  
Shan Shan Ye ◽  
Xin Yu Deng ◽  
Yan Qing Xie ◽  
...  

The temporal impact characteristics of soil physical and chemical properties and plants characteristic had been revealed by investigation and sampling of multi-phase soil and plants sample in subsidence area and control area. Through the research, it could study the effect of surface ecological environment caused by coal mining, and further propose the corresponding countermeasures of management and restoration. Evolution characteristic of soil physical properties is that soil water content, bulk density and porosity made a response to mining subsidence, and soil moisture content variation was much more obvious and affected by seasonal weather. Evolution characteristic of soil chemical properties is that soil nitrogen and available phosphorus had decreased due to coal mining subsidence, expect pH, organic matter and available potassium. However, the impact degree of subsidence was relative slight and had “partition” feature, showing a trend ofDSR>CUSR&RUSR. Moreover, the response time node of subsidence was different from physical properties with a certain lag, which usually occurred in alternating hot and humid periods. All the affected indexes of chemical properties did not recover to initial level before mining in one year. Based on above studies, a new “partition” differentiated ecological restoration model had been proposed for the first time. For theCUSRandRUSRshould followed “natural closure” model, conversely, theDSRshould selected “marginal fissures filling & vegetation optimization & rhizosphere environment improvement” of artificial induction model, which giving priority to ecological self-healing with supplementing appropriate human interventions.


2021 ◽  
Author(s):  
bai lu ◽  
wang yajing ◽  
Kai Zhang ◽  
bao kaikai ◽  
zhao jiangang ◽  
...  

Abstract The current research only investigate the impact of coal mining on deep soil moisture from the perspective of the absolute value of soil moisture. This study applied the combined method of classical statistics and multi-dimensional geo-statistics to analyze the changes of soil moisture of time and space from 0-10m in the mining face of Nalin River No.2 Mine in Northwest China from the perspective of spatial variability. The results of the study showed that in time distribution, on the whole, the soil moisture in the partial areas of the 1-year and the 2-year subsidence area was lower than that in the control area, and the variability increased, but as the subsidence entered a stable period, the degree of variability decreased; vertically observed, in space distribution, the 0-10m soil moisture in the control area had obvious distribution rules with low spatial variability. However, the spatial variability of soil moisture in the 1-year subsidence area and the 2-year subsidence area increased, and the variability showed a trend of increasing continuously with the increase of depth. During the principal component analysis, it was found that the change of soil texture caused by coal mining subsidence, the change of microstructure of soil pores caused by geotechnical deformation, as well as the preferential flow caused by changes in groundwater level were the main reasons for the increasing spatial variability of soil moisture. This study revealed the principals of spatial variability of soil moisture in coal mining subsidence areas in Northwest China, which can provide a scientific basis for the restoration of mining areas.


2021 ◽  
Author(s):  
bai lu ◽  
wang yajing ◽  
Kai Zhang ◽  
bao kaikai ◽  
zhao jiangang ◽  
...  

Abstract The current research only investigates the impact of coal mining on deep soil moisture from the perspective of the absolute value of soil moisture. This study applied the combined method of classical statistics and multi-dimensional geo-statistics to analyze the temporal and spatial changes of soil moisture from 0-10m in the mining face of Nalin River No.2 Mine in Northwest China from the perspective of spatial variability. The results of the study showed that in time distribution, on the whole, the soil moisture in the partial areas of the 1-year and the 2-year subsidence area was lower than that in the control area, and the variability increased, but as the subsidence entered a stable period, the degree of variability decreased; vertically observed, in space distribution, the 0-10m soil moisture in the control area had obvious distribution rules with low spatial variability. However, the spatial variability of soil moisture in the 1-year subsidence area and the 2-year subsidence area increased, and the variability showed a trend of increasing continuously with the increase of depth. During the principal component analysis, it was found that the change of soil texture caused by coal mining subsidence, the change of soil pores microstructure caused by geotechnical deformation, as well as the preferential flow caused by changes in groundwater level were the main reasons for the increasing spatial variability of soil moisture. This study revealed the principles of spatial variability of soil moisture in coal mining subsidence areas in Northwest China, which can provide a scientific basis for the restoration of mining areas.


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