文章基本信息

标题：Quality analysis of the Earth remote sensing data in the surface runoff modeling for failure prediction at the tailing dumps
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作者：Petr Rybnikov ; Alexander Smirnov
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2020
卷号：177
页码：1-8
DOI：10.1051/e3sconf/202017706002
出版社：EDP Sciences
摘要：The tailing dump operation periodically leads to the failures. A number of failures that have occurred is related to the underestimation of the exposure to atmospheric precipitations (heavy rains, heavy snowmelt, etc.) on the tailings dams. The studies performed during the previous 50 years indicate the need to consider the climate change when calculating both the long-term average and storm runoff and substantiating the engineering solutions in the tailing dump design. The digital elevation models (DEMs) can be used as a basis for solving the problems of hydrological and hydrogeological modeling. Due to the diversity of such models, it is necessary to develop a methodology for its preparation, evaluate the necessary degree of the material post-processing, and determine the time frame for research.