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Vol 221
Pages:
706
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RUS ENG

A parallel analysis of hydrolithospheric beds geodata of Narzan mineral water Kislovodsk deposit

Authors:
D. A. Pervukhin1
Yu. V. Ilyushin2
About authors
  • 1 — Saint-Petersburg Mining University
  • 2 — Saint-Petersburg Mining University
Date submitted:
2015-11-06
Date accepted:
2016-01-08
Date published:
2016-05-01

Abstract

The area of the Caucasus Mineral Waters – an environmental spa - occupies a special place among the other  spa regions of Russia due to richness, diversity, abundance and value of its mineral waters, landscape and climate conditions, and therapeutic muds. Lately the rate increased of developing its mineral water resources for both the local spa use and bottling for retail consumers. The growing number of mineral water bottling enterprises and sanatorium organizations affects significantly the amount of mineral water uptake. Irrational water uptake results in deterioration of underground water quality, change of its chemical composition and temperature. Expansion of the depression crater may eventually result in a collapse of seams roofing and vanishing of many water springs. It refers to all the waters underlying the area of Kavkazskie Mineralnye Vody. Due to that situation there is a potential threat of degradation of these deposits of mineral waters. Therefore, an important task consists in building forecast models of hydro-lithospheric processes in the region while the scope of water uptake changes in various parts of the deposit. it will be based on analyzing aerial photographs taken from board unmanned aerial vehicles. Currently such analysis is conducted using simple linear algorithms. The paper suggests to use the Nvidia CUDA technology for the purpose, adapting the mathematics used to ana- lyze aerial photographs to that technology. The initial data for processing were obtained by aerial photography in the course of remote sensing of the area by unmanned aerial vehicles belonging to OJSC «Narzan», Kislovodsk, an enterprise for mining mineral water. Presented in this paper have their Author’s Certificates issued by the Federal Institute of Industrial Property, the Russian Federation.

10.18454/pmi.2016.5.706
Go to volume 221

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