Abstract
Geological hazards occur frequently in the Loess Plateau, but because of the depth of the loess cover, especially when it is still covered with trees, it is difficult to interpret the potential areas of geological hazards. This paper mainly explores a new method for extracting potential geological hazards in the loess cover area. In order to ensure the accuracy of interpretation, different geomorphological units in the study area are partitioned. Then, in order to effectively study and express the geomorphological characteristics of the parameters or indicators of a certain significance for the extraction of topography factors, these terrain factors are often distributed from multiple models. In the training area, the threshold of representative terrain factor is extracted by mixing sieving algorithm. Results the potential area of geological hazard in loess cover area were obtained by overlay analysis.
L. Han and T. Wu—Contributed equally to this paper.
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Acknowledgments
This work was financially supported by the project of open fund for key laboratory of land and resources degenerate and unused land remediation, under Grant [SXDJ2017-7], and the 1:50, 000 geological mapping in the loess covered region of the map sheets: Caobizhen (I48E008021), Liangting (I48E008022), Zhaoxian (I48E008023), Qianyang (I48E009021), Fengxiang (I48E009022), & Yaojiagou (I48E009023) in Shaanxi Province, China, under Grant [DD-20160060].
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Han, L., Wu, T., Liu, Q., Liu, Z., Zhang, T. (2019). Extraction of Target Geological Hazard Areas in Loess Cover Areas Based on Mixed Total Sieving Algorithm. In: Xie, Y., Zhang, A., Liu, H., Feng, L. (eds) Geo-informatics in Sustainable Ecosystem and Society. GSES 2018. Communications in Computer and Information Science, vol 980. Springer, Singapore. https://doi.org/10.1007/978-981-13-7025-0_22
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DOI: https://doi.org/10.1007/978-981-13-7025-0_22
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