Study on the Regularity of Surface Collapse in Goaf using UAV Remote Sensing Technology

Jump To References Section

Authors

  • School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan 621010 ,CN
  • School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan 621010 ,CN
  • School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan 621010 ,CN
  • School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan 621010 ,CN
  • School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan 621010 ,CN

DOI:

https://doi.org/10.18311/jmmf/2022/30052

Keywords:

Analytic Hierarchy Process (AHP), CRITIC Method, Fuzzy Comprehensive Evaluation, Surface collapse, UAV remote sensing, GIS

Abstract

UAV remote sensing technology is used to analyze the characteristics of surface collapse and evaluate the degree of damage in the mining area, and the regularity of surface collapse in the mining area is studied. The distribution and variation characteristics of surface collapse pits and surface cracks and surface deformation characteristics are obtained from UAV images. Taking the area of collapse pits, the depth of collapse pits, the width of cracks, the drop of cracks, the density of cracks, surface subsidence and surface inclination as the evaluation factors, the fuzzy opinion centralized decision-making of the classical fuzzy comprehensive evaluation method is introduced into the combined weighting method, and the fuzzy comprehensive evaluation model based on AHP-CRITIC method is established. The results show that: (1) From August 2020 to June 2021, 125 surface cracks have increased; Three new collapse pits are generated, with a maximum area of about 323m2 and a maximum depth of about 21m; The surface deformation in the south of the mining area is obvious, forming a settlement funnel. (2) The severe damage degree of surface collapse is mainly distributed near the surface collapse pits, the moderate damage degree is mainly distributed in the central and southern part of the study area, and the mild and slight damage degree is mainly distributed in the periphery of the ore body.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2022-06-20

How to Cite

Geng, S., Zhang, W., Zi, Y., Miao, J., & Shen, R. (2022). Study on the Regularity of Surface Collapse in Goaf using UAV Remote Sensing Technology. Journal of Mines, Metals and Fuels, 70(4), 182–190. https://doi.org/10.18311/jmmf/2022/30052

Issue

Section

Articles

 

References

Gao, G. (2018). Characteristics of ground collapse and prediction of damage degree in central and southern Lingwu mining area[D]. Xi’an University of Science and Technology.

He, W., Xiang, M., Liu, H., et al. (2016). Ground collapse characteristics and environmental problems in Yushenfu mining area. Coal Geology & Exploration, 44(05): 131-135

Huang K, Chen W, Wen J.S., et al. (2016). Study on types and influencing factors of ground collapse in goaf of Inner Mongolia coal mine. Geotechnical Investigation & Surveying, 44(12): 13-19.

Su, L., & Zhang, X. (2013). Using filling technology to promote the coordinated development of mine resource development and environmental protection. Mining and Metallurgical Engineering, 33(03): 117-121.

Gao, G., Hou, E., Xie, X., et al. (2018). The monitoring of ground surface subsidence related to coal seams mining in Yangchangwan coal mine by means of unmanned aerial vehicle with quad-rotors. Geological Bulletin of China, 37(12): 2264-2269.

Wang, X. (2015). Research status of mining subsidence monitoring based on DInSAR Technology. Metal Mine, 2015(S1): 65-71.

Li, Q., Deng, H., & Zhou, Y. (2015). Application of 3D laser scanning in monitoring ground subsidence and deformation in mining area.. The Chinese Journal of Geological Hazard and Control, 25(01): 119-124.

Yu, S., Wang, Z., Liu, G., et al. (2016). Application of InSAR Technology in surface deformation monitoring of Yishu Fault Zone. Journal of Geomatics Science and Technology, 33(02): 150-156.

Hou, E., Shou, Z., Xu, Y., et al. (2017). Application of UAV Remote Sensing Technology in coal mining surface subsidence monitoring. Coal Geology & Exploration, 45(06): 102-110.

Zhang, H, Lu, X., Zhang, X., et al. (2020). Dynamic extraction method of UAV video key frame image for mine supervision. Remote Sensing Information, 35(01): 112-116.

Liu, G., & Lv, J. (2013). Research on key technologies of mining area change monitoring based on UAV. Bulletin of Surveying and Mapping, 2013(S1); 95-98.

Tang, H., & Wei, F. (2011). Fuzzy comprehensive evaluation of land damage degree in coal mining. Geomatics & Spatial Information Technology, 34(05): 269-271.

Wang, S., & Liu, Y. (2015). Evaluation of land damage degree in mining area based on improved fuzzy comprehensive evaluation model. Chinese Journal of Eco-Agriculture, 23(09): 1191-1198.

Cheng, L., Zhao, Y., & Chen, L. (2017). Evaluation of land damage degree in coal mining subsidence area with high groundwater level. Transactions of the Chinese Society of Agricultural Engineering, 33(21): 253-260.

Sun, Q., Bai, Z., Cao, Y. (2017). Analysis of land damage and reclamation process in coal mining area based on ecological risk assessment. Chinese Journal of Eco-Agriculture, 25(06): 795-804.

Zhou, X., An, Y., Xu, W., et al. (2009). Fuzzy evaluation of cultivated land soil fertility based on GIS and improved analytic hierarchy process — A case study of Puan county, Guizhou province. Chinese Journal of Soil Science, 40(01): 51-55.

Hui, A., Li, M., Lu, Z, et al. (2020). Research progress and direction of structural parameter optimization of pillarless sublevel caving in China. Metal Mine, 2020(03): 1-11.

Zhou, C.B., Yao, Y.K., Guo, L.W., et al., 006). Numerical simulation of independent advance of ore breaking in the non-pillar sublevel caving method Journal of China University of Mining and Technology, 17(2). https:// doi.org/10.1016/S1006-1266(07)60092-3

Yang, L. (2000). Principle and application of fuzzy mathematics. Guangzhou: South China University of Technology Press.