scholarly journals Identification of Land Subsidence and Management Using Cadastral Techniques, Mining Area of Raniganj, Barddhaman District, India

2016 ◽  
Vol 6 (2) ◽  
pp. 52
Author(s):  
Sonjay Mondal ◽  
Debashish Chakravarty ◽  
Jatisankar Bandyopadhyay ◽  
Kunal Kanti Maiti

Coal mining, open crest/underground adversely affects the Eco-system. Raniganj area known as mining zone, but several time natural hazards (land subsidence) occurs in the area, Subsidence in old workings leads to severe   damage to surface structures. it is very much important that suitable assessment studies to learn the potential adverse impact of mining on environmental ecosystem (flora, fauna). In the subsequent discussions an attempt has been made to clarify the coal mining activities and its outstanding impact on environment and agricultural activities. The study area region being the foremost coal producing region country, it’s also ranked high in the list of environmentally degraded areas, in mining area have seen that  waste materials are usually stacked as huge dumps in  surroundings. After that those dumps were coupled with coal dumps, because this significant effect impact on land.  The environmental awareness is given our society brought life from mining area another concerted effort for reclamation of the subsided land.


2001 ◽  
Vol 22 (6) ◽  
pp. 921-932 ◽  
Author(s):  
A. Prakash ◽  
E. J. Fielding ◽  
R. Gens ◽  
J. L. Van Genderen ◽  
D. L. Evans




2015 ◽  
Vol 80 (2) ◽  
pp. 797-810 ◽  
Author(s):  
A. Muntean ◽  
V. Mocanu ◽  
B. Ambrosius




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.



Author(s):  
Tusarkanta Behera ◽  
Anand Prakash Singh ◽  
Jiten Kumar Behera ◽  
So nam ◽  
Sin gh


2021 ◽  
Vol 2021 ◽  
pp. 1-10 ◽  
Author(s):  
Zhiyong Wang ◽  
Jingzhao Zhang ◽  
Yaran Yu ◽  
Jian Liu ◽  
Wei Liu ◽  
...  

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.



2021 ◽  
Vol 9 ◽  
Author(s):  
Zhengyuan Qin ◽  
Vivek Agarwal ◽  
David Gee ◽  
Stuart Marsh ◽  
Stephen Grebby ◽  
...  

Underground coal mining activities and ground movement are directly correlated, and coal mining-induced ground movement can cause damage to property and resources, thus its monitoring is essential for the safety and economics of a city. Fangezhuang coal mine is one of the largest coalfields in operation in Tangshan, China. The enormous amount of coal extraction has resulted in significant ground movement over the years. These phenomena have produced severe damages to the local infrastructure. This paper uses the finite difference method (FDM) 3D model and the stacking interferometric synthetic aperture radar (InSAR) method to monitor the ground movement in Fangezhuang coalfield during 2016. The FDM 3D model used calibrated Fangezhuang geological parameters and the satellite InSAR analysis involved the use of ascending C-band Sentinel-1A interferometric wide (IW) data for 2016. The results show that the most prominent subsidence signal occurs in mining panel 2553N and the area between panel 2553N and fault F0 with subsidence up to 57 cm. The subsidence observed for the FDM 3D model and stacking InSAR to monitor land deformation under the influence of fault are in close agreement and were verified using a two-sample t-test. It was observed that the maximum subsidence point shifted towards the fault location from the centre of the mining panel. The tectonic fault F0 was found to be reactivated by the coal mining and controls the spatial extent of the observed ground movement. The impact of dominant geological faults on local subsidence boundaries is investigated in details. It is concluded that ground movement in the study area was mainly induced by mining activities, with its spatial pattern being controlled by geological faults. These results highlight that the two methods are capable of measuring mining induced ground movement in fault dominated areas. The study will improve the understanding of subsidence control, and aid in developing preventive measures in Fangezhuang coalfield with fault reactivation.



Sign in / Sign up

Export Citation Format

Share Document