| 矿区生态扰动监测研究进展与展望 |
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| 引用本文： | 汪云甲. 矿区生态扰动监测研究进展与展望[J]. 测绘学报, 2017, 46(10): 1705-1716. DOI: 10.11947/j.AGCS.2017.20170358 |
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| 作者姓名： | 汪云甲 |
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| 作者单位： | 1. 中国矿业大学环境与测绘学院, 江苏 徐州 221116;2. 国土环境与灾害监测国家测绘地理信息局重点实验室, 江苏 徐州 221116 |
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| 基金项目： | 国家自然科学基金（51574221）；测绘地理信息公益性行业科研专项（201412016） |
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| 摘 要： | 矿区资源开发致使其面临着严重的生态环境问题,监测和分析矿区生态环境各种典型信号和异常已成为环境保护、生态恢复等工作的重要基础。本文从地表形变与沉降、地下煤火与煤矸石山自燃及其他生态要素监测等方面讨论了矿区生态扰动监测研究进展,进行了国内外进展比较及发展趋势展望。由于采动沉陷与生态环境变化的特殊性、复杂性和高度动态性,单一监测手段难以奏效,将空天地一体化对地观测传感网和矿山物联网相结合,发展矿区生态扰动多源多尺度空天地协同监测与智能感知体系,是未来研究的重点及努力方向。
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| 关 键 词： | 矿区 生态扰动 地表形变与沉降 地下煤火 煤矸石山自燃 监测 |
| 收稿时间： | 2017-06-20 |
| 修稿时间： | 2017-09-14 |
Research Progress and Prospect on Ecological Disturbance Monitoring in Mining Area |
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| WANG Yunjia. Research Progress and Prospect on Ecological Disturbance Monitoring in Mining Area[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1705-1716. DOI: 10.11947/j.AGCS.2017.20170358 |
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| Authors: | WANG Yunjia |
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| Affiliation: | 1. School of Environment Science and Spatial Information, Xuzhou 221116, China;2. China University of Mining and Technology, NASG Key Laboratory of Land Environment and Disaster Monitoring, Xuzhou 221116, China |
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| Abstract: | Due to the exploitation of resources, serious ecological and environment problem had been aroused in the mining area. Monitoring and analyzing various typical signals and anomalies in the ecological environment of the mining area had become an important basis for environmental protection and ecological restoration. The research progress had been reviewed from such aspects as ground deformation and subsidence, underground coal fire and spontaneous combustion of coal gangue and other ecological disturbance factors monitoring. For the particularity, complexity and highly dynamic of mining subsidence and ecological environment change, the single monitoring method is not enough, integrating the aerospace-borne and ground based integrated earth observation sensor Web and mine Internet of Things, to develop multi-source and multi-scale aerospace-borne and ground based cooperative monitoring and intelligent sensing system for ecological disturbance is the future research focus and direction in mining area. |
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