Prediction of Natural and Technogenic Negative Processes Based on the Analysis of Relief and Geological Structure
The article presents research on predicting landslides of different origin; also addressed an important question of spatial specification of earth surface displacement in undermining areas. Normative and methodological sources have no concrete solutions to these issues for a variety of territory conditions. For prediction of natural landslides used digital elevation models built on the basis of the airborne laser scanning data. Dangerous areas are modeled on the landslide potential and with neural network analysis. Suggested the technique of technogenic landslide prediction. Determined the influence of landslide curvature parameter (in horizontal plane) on the basis of numerical 3D simulations. Showed technological schemes of pit edge deformation observations. Described the technique of instrumental observations on the spatial determination of earth surface subsidence zone in undermining. Used laser scanning system. Dynamic visualization of the earth surface is implemented in 3ds Max.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18777058
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Supplemental Notes:
- © 2017 A A Kuzin et al. Published by Elsevier Ltd.
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Authors:
- Kuzin, A A
- Grishchenkova, E N
- Mustafin, M G
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: pp 744-751
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Serial:
- Procedia Engineering
- Volume: 189
- Publisher: Elsevier
- ISSN: 1877-7058
- Serial URL: http://www.sciencedirect.com/science/journal/18777058
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Geology; Geotechnical engineering; Landslides; Neural networks
- Subject Areas: Geotechnology; Transportation (General);
Filing Info
- Accession Number: 01638576
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 23 2017 2:03PM