Abstract
Mine ecological environment restoration, as an important measure for the construction of “green water and green mountains” of ecological civilization, has aroused widespread concern in the society. Therefore, this paper proposes a study on ecological restoration methods of mine geological environment management based on spatio-temporal big data. This article has conducted research through a combination of literature analysis, consultation and discussion methods. This paper analyzes the main problems faced by the mine geological environment in China. This study found that the geological and geological disasters that occur in mines in China are mainly concentrated in the following types: goaf collapse, roof fall, debris flow and collapse landslide. And through the collation and discussion of related materials, the ecological restoration method of mine geological environment management based on spatio-temporal big data is obtained.
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Wang, Y., Qu, B., Liu, B., Song, H. (2021). Ecological Restoration Method of Mine Geological Environment Governance Based on Spatio-Temporal Big Data. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_70
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DOI: https://doi.org/10.1007/978-3-030-53980-1_70
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