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Key Technology Research on Remote Sensing Monitoring of Methane Emission in Coal Mine Area

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Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 228))

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Abstract

Methane is a kind of greenhouse gas that strongly absorbs Earth outward long-wave radiation, a gas whose greenhouse effect is 21 times worse than carbon dioxide. Coal mine area is one major source of industrial methane emission and the emission sources are principally coal mines and coal bed methane (CBM) ground development zones. One of the type areas at present is southern Qinshui Basin in Shanxi province. With the support from the advantages of remote sensing monitoring technology in real time monitoring of mine area environment and on the basis of the optimal waveband from the sieving process of remote sensing monitoring of methane, this paper takes southern Qinshui Basin as the focus of research in order to perfect and progress the theoretical model of methane remote sensing response, to develop the hyperspectral monitoring method of methane concentrations, with which furthermore, to make a preliminary analysis of the temporal and spatial distribution regularity of atmospheric concentrations of methane so as to provide groundwork for further research and development of real time and high sensitive monitoring method of the atmosphere environment in mine areas.

This work is partially supported by the National Natural Science Foundation of China (Grant No. 41001230) to Hui Yang, and Important National Science & Technology Specific Projects (Project number: 2008ZX05034) to Yong Qin.

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© 2011 Springer-Verlag Berlin Heidelberg

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Ci, H., Qin, Y., Yang, H., Li, G., Feng, G. (2011). Key Technology Research on Remote Sensing Monitoring of Methane Emission in Coal Mine Area. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23223-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-23223-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23222-0

  • Online ISBN: 978-3-642-23223-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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