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Monitoring of settlement in mining industrial square based on optimal PS point acquisition method
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Keming YANG1, Tingting LI1, Jun MA2, Yaxing LI1, Kegui JIANG1, Xiangtong ZHAO1
China Safety Science Journal | 2024, 34(5) : 44 - 51
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China Safety Science Journal | 2024, 34(5): 44-51
Safety engineering technology
Monitoring of settlement in mining industrial square based on optimal PS point acquisition method
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Keming YANG1, Tingting LI1, Jun MA2, Yaxing LI1, Kegui JIANG1, Xiangtong ZHAO1
Affiliations
  • 1 School of Earth Science and Surveying Engineering,China University of Mining and Technology (Beijing),Beijing 100083,China
  • 2 General Defense Geological Survey Department,Huaibei Mining Co.,Ltd.,Huaibei Anhui 235000,China
Published: 2024-05-28 doi: 10.16265/j.cnki.issn1003-3033.2024.05.1436
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To ensure the safety of the mining ground and underground workers,residents around the industrial square,and the operation of the coal transportation system,real-time monitoring of surface deformation is carried out. An optimized method for acquiring PS points is proposed to enhance the applicability of PS-InSAR technology in settlement monitoring. Firstly,a to total of 26 Sentinel-1A satellite images during the subsidence period of the Industrial Square coal pillar II 513 working face in the Huainan suburban coal mine from October 31,2020,to August 22,2022,were selected. The PS-InSAR technology was used to determine the optimal method for selecting PS point targets. Then,based on this method,the ground subsidence rate and cumulative subsidence of the mining damage protection zone during the mining process of the working face were obtained. Finally,the accuracy of PS-InSAR monitoring was verified based on the measured data of ground leveling points,and the dynamic subsidence of the study area's ground and structures was analyzed. The results show that the dual-threshold method of coherence coefficient and amplitude dispersion index is more suitable for subsidence monitoring in the study area. The maximum detectable subsidence rate in the study area is -26.5 mm/year,and the maximum cumulative subsidence value is -53.7 mm. Additionally,geological hazards related to karst collapse were detected in the northwest of the study area. By using leveling data for accuracy verification,the root mean square error (RMSE) is only 3.8mm,and the coefficient of determination reaches 0.91.

persistent scatterer(PS)  /  interferometry synthetic aperture radar(InSAR)  /  industrial square  /  settlement monitoring  /  coherence coefficient  /  amplitude dispersion index
Keming YANG, Tingting LI, Jun MA, Yaxing LI, Kegui JIANG, Xiangtong ZHAO. Monitoring of settlement in mining industrial square based on optimal PS point acquisition method[J]. China Safety Science Journal(CSSJ), 2024 , 34 (5) : 44 -51 . DOI: 10.16265/j.cnki.issn1003-3033.2024.05.1436
Year 2024 volume 34 Issue 5
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.05.1436
  • Receive Date:2023-11-18
  • Online Date:2025-07-14
  • Published:2024-05-28
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  • Received:2023-11-18
  • Revised:2024-02-20
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Affiliations
    1 School of Earth Science and Surveying Engineering,China University of Mining and Technology (Beijing),Beijing 100083,China
    2 General Defense Geological Survey Department,Huaibei Mining Co.,Ltd.,Huaibei Anhui 235000,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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