| 新疆苇湖梁煤矿塌陷区遥感监测研究 |
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| 引用本文： | 杜茜诗慧,周可法,王金林,周曙光,于浩,孙卫东.新疆苇湖梁煤矿塌陷区遥感监测研究[J].地质科学,2015,0(4):1271-1279. |
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| 作者姓名： | 杜茜诗慧 周可法 王金林 周曙光 于浩 孙卫东 |
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| 作者单位： | 1. 中国科学院新疆生态与地理研究所新疆矿产资源研究中心 乌鲁木齐 830011;
2. 新疆矿产资源与数字地质实验室 乌鲁木齐 830011;
3. 中国科学院大学 北京 100049;
4. 新疆维吾尔自治区地质矿产勘查开发局信息中心 乌鲁木齐 830000 |
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| 摘 要： | 苇湖梁煤矿已有50多年的开采历史, 长期的地下开采造成了严重的地面塌陷。本文将新疆苇湖梁煤矿塌陷区作为研究区, 以2013年的IKONOS高分遥感影像为主要数据源, 以ArcGIS为支撑平台, 采用人机交互的解译方法对塌陷区的相关信息进行提取, 结合实地调查验证的方法, 分析研究区内地质灾害的特征。通过遥感调查发现: 研究区内发育规模较大、位于塌陷区周围的拉伸区的地裂缝约有64条;塌陷坑(群)约有94个, 主要分布于南北塌陷槽及两侧;塌陷回填区总面积达0.92 km2, 并在回填区发现了3个新塌陷坑。本文充分发挥了遥感技术宏观性强、速度快的特点, 调查结果反映了塌陷区灾害的实际情况。
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| 关 键 词： | 遥感 煤矿塌陷区 苇湖梁煤矿 |
| 收稿时间： | 2015-03-08 |
| 修稿时间： | 2015-03-08; |
Investigation of coal mining subsidence area using remote sensing images in Weihuliang,Xinjiang |
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| Du Xishihui,Zhou Kefa,Wang Jinlin,Zhou Shuguang,YU Hao,Sun Weidong.Investigation of coal mining subsidence area using remote sensing images in Weihuliang,Xinjiang[J].Chinese Journal of Geology,2015,0(4):1271-1279. |
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| Authors: | Du Xishihui Zhou Kefa Wang Jinlin Zhou Shuguang YU Hao Sun Weidong |
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| Institution: | 1. Xinjiang Research Center for Mineral Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Science, Ürümqi 830011;
2. Xinjiang Key Laboratory of Mineral Resources and Digital Geology Ürümqi 830011;
3. University of Chinese Academy of Sciences, Beijing 100049;
4. Information Center of Bureau of Geology and Mineral Resources of Xinjiang, Ürümqi 830000 |
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| Abstract: | The mining history of Weihuliang coal mine is more than 50 years. The long-term underground mining had caused serious surface subsidence. This study took coal mining subsidence area of Xinjiang Weihuliang as the research area to extract the subsidence area information by using the high resolution IKONOS remote sensing images and ArcGIS software package. Furthermore, according to field verification, geological hazards which had been caused by the subsidence were analyzed. The results showed that the number of ground fissures with large scale located in the tensile zone and collapse pits distributed in subsidence troughs were 64 and 94 respectively. Meanwhile, the area of backfillings was up to 0.92 km2 in 2013. Besides, three new collapse pits have been found in the backfilling. The study ilustrated that the remote sensing technology charactered by macroscopic and rapid features is an cost-effective way to investigate actual situation of the subsidence hazards. |
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| Keywords: | Remote sensing Coal mining subsidence area Weihuliang coal mine |
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