Issue |
E3S Web Conf.
Volume 164, 2020
Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
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Article Number | 07001 | |
Number of page(s) | 8 | |
Section | Land Use and Ecology | |
DOI | https://doi.org/10.1051/e3sconf/202016407001 | |
Published online | 05 May 2020 |
Digital cartographic support of geodynamic safety of subsoil use based on UAV technologies
Kemerovo State University, 6, Krasnaya Street, 650000, Kemerovo, Russia
* Corresponding author: san.mdig@mail.ru
It is established that the problem of digital cartographic support for geodynamic safety based on UAV technologies is the following: on the one hand, a significant increase in accuracy and efficiency of survey work and on the other hand – the lack of new models for approximating the crustal blocks, taking into account the adequacy of their configuration, hierarchy, structure, interaction and geodynamic activity. Traditional technologies are focused on the use of flat models of crustal blocks, which are not adequate and give ambiguous state parameters. The aim of the research is to develop a theory of digital cartographic support for the geodynamic safety of subsurface use, which provides not only the creation of new models of blocks of the earth’s crust based on their selection and identification, taking into account the accuracy of cartographic materials, but also provides an information basis for gaining new knowledge about their stress-strain state according to the structure hierarchy which is necessary to solve this problem. Based on the performed research, it was found that the morphostructural analysis of the cartographic materials of the territory in the area of the mining enterprise, obtained on the basis of UAV technologies, is more informative and automated, covers the latest period up to one million years and takes into account the dependence of their errors on the duration and relaxation of geodynamic processes . The practical use of this theory is safe subsoil use.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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