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国土资源遥感  2017, Vol. 29 Issue (3): 203-210    DOI: 10.6046/gtzyyg.2017.03.30
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
山东省采煤沉陷遥感动态监测
王晓红, 荆青青, 周英杰, 姚维岭
中国国土资源航空物探遥感中心,北京 100083
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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摘要 利用2013年第4季度—2015年第4季度高分辨率遥感影像数据,对山东省采煤沉陷灾害进行了连续3 a的动态监测,发现全省采煤塌陷地(坑)面积逐年减少。在对比分析山东省煤矿分布特点、煤炭开采方式及开发历史等工作基础上,建立了采煤沉陷遥感动态监测技术流程。根据所提取的塌陷地(坑)、搬迁的村庄、地质灾害恢复治理等信息,圈定全省特大型沉陷区12个、大型沉陷区8个、中型沉陷区50个、小型沉陷区12个; 通过上述信息的近3 a变化情况的分析,确定全省沉陷程度变好区30个、稳定区31个、变重区21个,掌握了沉陷变化趋势。同时,分析了煤矿沉陷灾害发生的影响因素,探讨了治理时机,提出了对策建议。
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刘瑶
张文娟
张兵
甘甫平
关键词 图像模拟中红外大气吸收地表发射率    
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.
Key wordsimage simulation    mid-infrared    atmospheric absorption    surface emissivity
收稿日期: 2016-04-27      出版日期: 2017-08-15
基金资助:中国地质调查局地质调查项目“全国矿产资源开发环境遥感监测”(编号: 121201003000150009)、“山东省矿山环境监测”(编号: 12120111120038,1212011220073)和“山东省矿产资源开发环境遥感监测”(编号: 12120115061501)共同资助
作者简介: 王晓红(1964-),女,硕士,教授级高工,主要从事矿山遥感监测工作。Email:2427364501@qq.com。
引用本文:   
王晓红, 荆青青, 周英杰, 姚维岭. 山东省采煤沉陷遥感动态监测[J]. 国土资源遥感, 2017, 29(3): 203-210.
WANG Xiaohong, JING Qingqing, ZHOU Yingjie, YAO Weiling. Remote sensing dynamic monitoring of coal mine subsidence disaster in Shandong Province. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 203-210.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2017.03.30      或      https://www.gtzyyg.com/CN/Y2017/V29/I3/203
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