scholarly journals Monitoring, Analyzing, and Modeling for Single Subsidence Basin in Coal Mining Areas Based on SAR Interferometry with L-Band Data

2021 ◽  
Vol 2021 ◽  
pp. 1-10 ◽  
Author(s):  
Zhiyong Wang ◽  
Jingzhao Zhang ◽  
Yaran Yu ◽  
Jian Liu ◽  
Wei Liu ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Large Deformation ◽  
Coal Mining ◽  
Land Subsidence ◽  
Mining Area ◽  
Mining Subsidence ◽  
Sar Interferometry ◽  
Coal Mining Area ◽  
Subsidence Basin ◽  
L Band

Excessive exploitation of underground mine resources has caused serious land subsidence in China. This paper focused on monitoring and modeling the single subsidence basin in coal mining area based on SAR interferometry (InSAR). The optimum InSAR processing strategy to monitor the mining subsidence was built to obtain the land subsidence with large deformation. And a method of three-dimensional mathematical modeling of single subsidence basin based on InSAR measurements was presented. Using Jining Coalfield (China) as the study area, we acquired 7 L-band PALSAR images from January 2008 to February 2010 to monitor the land subsidence in Jining Coalfield. The deformation maps in Jining Coalfield in different periods were obtained. Taking the Geting Coal Mine within the Jining coalfield as an example, we finely analyzed and interpreted the deformation maps. Compared with the simultaneous filed measurements, the precision of deformation measurement using D-InSAR in mining area was analyzed. The root mean square error was 1.37 cm. The method of fine interpretation and analysis for a single subsidence basin was established. The experiments have proved that InSAR technique with L-band InSAR data is suitable for monitoring mining subsidence with large deformation. And the 3D mathematical modeling method could be used for the single subsidence basin in coal mining area.

Use of D-InSAR Technique for Monitoring Ground Subsidence in the Yanzhou Coal Mining Area (China)

2010 ◽  
Vol 34-35 ◽  
pp. 756-760 ◽  
Author(s):  
Zhi Yong Wang ◽  
Jin Zhi Zhang
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Mining Subsidence ◽  
Ground Subsidence ◽  
Srtm Dem ◽  
Alos Palsar ◽  
Coal Mining Area ◽  
L Band

In this paper, it monitored ground subsidence in the coal mining area using two-pass D-InSAR technique. We obtained 9 ALOS PALSAR single-look complex (SLC) images in Yanzhou coal mining area from December 2007 to Februay 2009. Based on SAR interferometric pairs and SRTM DEM, we detected the subsided areas and got the vertical subsided quantity. We got the ground subsidence maps in different stages from 2007 to 2009. Several important subsided areas were selected and then analyzed in detail. It analyzed the general laws of mining subsidence. The results indicated that two-pass D-InSAR technique based on L-band PALSAR data and SRTM DEM is a very simple, rapid and efficient way to detect and to monitor ground subsidence in the coal mining area, even in the areas with vegetation covered.

Study of monitoring mining subsidence in coal mining area by D-InSAR technology

2008 ◽  
Vol 14 (4) ◽  
pp. 591-593
Author(s):  
Liang Pei ◽  
Wen-jie Li ◽  
Yang Tan
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Mining Subsidence ◽  
Coal Mining Area

Data fusion for investigating land subsidence and coal fire hazards in a coal mining area

2001 ◽  
Vol 22 (6) ◽  
pp. 921-932 ◽  
Author(s):  
A. Prakash ◽  
E. J. Fielding ◽  
R. Gens ◽  
J. L. Van Genderen ◽  
D. L. Evans
Keyword(s):  
Data Fusion ◽  
Coal Mining ◽  
Land Subsidence ◽  
Mining Area ◽  
Fire Hazards ◽  
Coal Mining Area ◽  
Coal Fire

scholarly journals Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D-InSAR and Offset Tracking Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jiaming Yao ◽  
Xin Yao ◽  
Zuoqi Wu ◽  
Xinghong Liu
Keyword(s):  
High Resolution ◽  
Large Deformation ◽  
Coal Mining ◽  
Surface Deformation ◽  
Mining Area ◽  
Deformation Field ◽  
Coal Mining Area ◽  
Working Face ◽  
Offset Tracking ◽  
Tracking Technology

Underground mining in coal mining areas will induce large-scale, large-gradient surface deformation, threatening the safety of people’s lives and property in nearby areas. Due to mining-related subsidence is characterized by fast displacement and high nonlinearity, monitoring this process by using traditional and single interferometric synthetic aperture radar (InSAR) technology is very challenging, and it cannot accurately and quantitatively calculate the deformation of the mining area. In this paper, we proposed a new method that combines both multitemporal consecutive D-InSAR and offset tracking technology to construct a complete deformation field of the coal mining area. Taking into account the accuracy of multitemporal consecutive D-InSAR in calculating small deformation areas and the ability of offset tracking to measure large deformation areas, we utilized their respective advantages to extract the surface influence range and applied an adaptive spatial filtering method to integrate their respective results for inversion of the deformation field. 12 ascending high-resolution TerraSAR-X images (2 m) from September 3, 2018, to October 26, 2019, and 39 descending Sentinel-1 TOPS SAR images from August 5, 2018, to November 4, 2019, in the Ordos Coalfield located at Inner Mongolia, China, were utilized to obtain the whole subsidence field of the working faces F6211 and F6207 during the 454-day mining period. The GPS monitoring station located in the direction of the mining surface is used to verify the accuracy of the above method; at the same time, to a certain extent, the difference between the unmanned aerial vehicle’s DSM data acquired after coal mining and the Shuttle Radar Topography Mission (STRM) DEM can qualitatively verify the accuracy of the results. Our results show that the results of TerraSAR are basically consistent with the deformation trend of GPS data, and that of Sentinel-1 have large errors compared with GPS. The maximum central subsidence reaches ~12 m in the working face F6211 and ~4 m in the working face F6207. In the working face F6207, the good agreement between GPS and TerraSAR results indicated that the method above using high-resolution SAR data could be reliable for monitoring the large deformation area in the mining field.

A GPS study of land subsidence in the Petrosani (Romania) coal mining area

2015 ◽  
Vol 80 (2) ◽  
pp. 797-810 ◽  
Author(s):  
A. Muntean ◽  
V. Mocanu ◽  
B. Ambrosius
Keyword(s):  
Coal Mining ◽  
Land Subsidence ◽  
Mining Area ◽  
Coal Mining Area

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.

GPS/terrestrial 3D laser scanner combined monitoring technology for coal mining subsidence: a case study of a coal mining area in Hebei, China

2013 ◽  
Vol 70 (2) ◽  
pp. 1197-1208 ◽  
Author(s):  
Dawei Zhou ◽  
Kan Wu ◽  
Ranli Chen ◽  
Liang Li
Keyword(s):  
Coal Mining ◽  
Laser Scanner ◽  
Mining Area ◽  
Mining Subsidence ◽  
Monitoring Technology ◽  
Coal Mining Area ◽  
Coal Mining Subsidence

Analysis of the Key Geological-Mining Factors Impacting Mining Subsidence in Coal Mining Area: A Case Study in YuShenfu Mining Area

2013 ◽  
Vol 868 ◽  
pp. 386-390
Author(s):  
Shi Jie Song ◽  
Xiao Guang Zhao ◽  
Yu Li
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Mining Subsidence ◽  
Shaanxi Province ◽  
Impact Factors ◽  
Analysis Method ◽  
Coal Mining Area ◽  
Mining Depth ◽  
Grey Correlation Analysis ◽  
Correlation Analysis Method

Development of mining subsidence in the coal mining area is impacted by the geological occurrence conditions and mining design conditions. Therefore, taking the Yushenfu coal mining area in northern Shaanxi province as study area, the research analyzed the key geological and mining impact factors of the mining subsidence respectively with grey correlation analysis method and stepwise regression analysis method. The results show that the perturbation coefficient, synthetical protodyakonov coefficient of overburden rocks, width-depth ratio and the ratio of mining depth and height are selected as the key geological-mining factors impacting mining subsidence in YuShenFu coal mining area. It hopes that the research results can present the scientific guiding function for the prevention of mining subsidence in the future.

scholarly journals Effect of Land Subsidence on Distribution of Soil Miconutrients in a Coal Mining Area

2020 ◽  
Vol 9 (3) ◽  
pp. 1133-1139
Author(s):  
Tusarkanta Behera ◽  
Anand Prakash Singh ◽  
Jiten Kumar Behera ◽  
So nam ◽  
Sin gh
Keyword(s):  
Coal Mining ◽  
Land Subsidence ◽  
Mining Area ◽  
Coal Mining Area
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