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煤矿塌陷地水体叶绿素a高光谱监测进展与挑战 被引量:1
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作者 林丽新 汪云甲 熊集兵 《金属矿山》 CAS 北大核心 2013年第6期143-147,150,共6页
煤矿区水体塌陷地水体叶绿素a时空分布监测始终是个薄弱点和难点。高光谱遥感技术能提供实时、更新、精度较高的信息来对这一特殊水域进行有效的管理。概述了前人在高光谱遥感技术监测水体叶绿素a方面的研究成果,以及运用到煤矿区塌陷... 煤矿区水体塌陷地水体叶绿素a时空分布监测始终是个薄弱点和难点。高光谱遥感技术能提供实时、更新、精度较高的信息来对这一特殊水域进行有效的管理。概述了前人在高光谱遥感技术监测水体叶绿素a方面的研究成果,以及运用到煤矿区塌陷地水环境的挑战,并对主要挑战进行分析和对未来研究进行了展望。 展开更多
关键词 煤矿区塌陷地 高光谱遥感 叶绿素A 监测
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Study on the genesis of karstic collapse column and characteristics of high resolution seismic data in one coal field 被引量:9
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作者 张绍红 林昌荣 《Journal of Coal Science & Engineering(China)》 2008年第4期648-650,共3页
On the standpoint of the disaster prevention from water inrush,discussed the genesis and geologic condition of karstic collapse column in one coal field,analyzed the geophysical characteristics of karstic collapse col... On the standpoint of the disaster prevention from water inrush,discussed the genesis and geologic condition of karstic collapse column in one coal field,analyzed the geophysical characteristics of karstic collapse column by using high resolution 3D seismic data.It shows the effective result of the technology of high resolution 3D seismic pros- pecting in the exploration of the karstic collapse column,and presents some prediction methods and prevention measures. 展开更多
关键词 karst collapse column high resolution seismic water inrush disaster prevention structure property
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Quantitative prediction of mining subsidence and its impact on the environment 被引量:13
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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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