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Remote sensing dynamic monitoring of coal mine subsidence disaster in Shandong Province |
| WANG Xiaohong, JING Qingqing, ZHOU Yingjie, YAO Weiling |
| China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China |
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Abstract Using high resolution remote sensing data obtained from 2013 to 2015, the authors monitored the subsidence disaster and its distribution range in the coal mining area of Shandong Province continuously, and it was found that the coal mining subsidence area decreased year by year. Based on the comparative analysis of the distribution characteristics and the mode of the subsidence disaster and the development history of coal mining, the authors established the dynamic monitoring technology of coal mining subsidence. According to the monitoring results, the distribution range, scale, severity and trend of the subsidence area in the province were determined, and 12 superlarge subsidence zones, 8 large subsidence zones, 50 medium-size subsidence zones and 12 small subsidence zones were delineated. The changing trend was predicted on the basis of the analysis of the above information for the past three years. It is found that 30 subsidence zones become better, 31 subsidence zones are stable, and 21 subsidence zones become worse. At the same time, this paper analyzes the influencing factors on coal mine subsidence disaster, discusses the management time, and puts forward some countermeasures and suggestions.
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| Keywords
image simulation
mid-infrared
atmospheric absorption
surface emissivity
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Issue Date: 15 August 2017
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2017,
Vol. 29
