Quality analysis of the Earth remote sensing data in the surface runoff modeling for failure prediction at the tailing dumps

¹ Ural State Mining University, 620144, Kuibyshev Str., 30, Ekaterinburg, Russia
² Institute of Mining, Ural Branch of the Russian Academy of Sciences, 620075, Mamin-Sibiryak Str., 58, Ekaterinburg, Russia

^* Corresponding author: ribnikoff@yandex.ru, alexsm94@gmail.com

Abstract

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.