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融合D-InSAR和Offset-tracking技术的矿区沉降信息提取 被引量:6
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作者 刘沂轩 杨俊凯 +2 位作者 范洪冬 杜珍应 曹久立 《河南理工大学学报(自然科学版)》 CAS 北大核心 2017年第5期47-52,共6页
矿区开采沉陷具有沉降速度快、量值大的特点,针对使用合成孔径雷达干涉测量(InSAR)技术很难正确获取煤炭开采引起的地表下沉全盆地信息的问题,提出融合D-InSAR和Offset-tracking技术提取矿区沉降信息的方法。试验以陕西某矿52304工作面... 矿区开采沉陷具有沉降速度快、量值大的特点,针对使用合成孔径雷达干涉测量(InSAR)技术很难正确获取煤炭开采引起的地表下沉全盆地信息的问题,提出融合D-InSAR和Offset-tracking技术提取矿区沉降信息的方法。试验以陕西某矿52304工作面为例,分别采用D-InSAR和Offset_tracking技术提取了下沉盆地微小及大梯度形变信息,分析了D-InSAR中失相干问题和Offset_tracking的监测优势,最后将两者得到的结果进行融合,获取了工作面上方的时序形变图,实例中最大下沉处的相对误差为0.5%~7.3%。结果表明,Offset-tracking可以有效解决D-InSAR无法监测矿区大梯度沉降的问题,该方法可为矿区开采沉陷监测提供新的技术手段。 展开更多
关键词 D-INSAR Offset-tracking 开采沉陷 矿区沉陷信息
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Quantitative prediction of mining subsidence and its impact on the environment 被引量:14
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作者 Jianjun Song Chunjian Han +6 位作者 Ping Li Junwei Zhang Deyuan Liu Minde Jiang Lin Zheng Jingkai Zhang Jianying Song 《International Journal of Mining Science and Technology》 2012年第1期69-73,共5页
This study is focused on the prediction of mining subsidence and its impact on the environment in the Hongqi mining area. The study was carried out by means of a probability integral model based, in first instance bas... This study is focused on the prediction of mining subsidence and its impact on the environment in the Hongqi mining area. The study was carried out by means of a probability integral model based, in first instance based on field surveys and the analysis of data collected from this area. Isolines of mining sub- sidence were then drawn and the impact caused by mining subsidence on the environment was analyzed quantitatively by spatial analysis with Geographic Information System (GIS). The results indicate that the subsidence area of the first working-mine can be as large as 2.54 km2, the maximum subsidence is 3440 mrn which will cause 1524 houses to be relocated. The entire subsidence area of the mine can reach 8.09 km2, with a maximum subsidence of 3590 ram. Under these circumstances the value of the loss of ecosystem services Will reach 5.371 million Yuan and the cost of relocating buildings will increase to 6.858 million Yuan. 展开更多
关键词 Mining subsidence PREDICTION Ecological environment Quantitative analysis
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