Scholarly record
ANALYSIS AND PROCESSING OF THE HYDROLITOSPHERIC PLAST INFORMATION REMOTE SENSING THROUGH THE THEORY OF SYSTEMS WITH DISTRIBUTED PARAMETERS
Abstract
Ecological and resort area of Caucasian Mineral Waters occupies a special place among the resort regions of Russia due to the richness, diversity, quantity and value of mineral waters, landscape and climatic conditions, therapeutic muds. The pace of development of mineral water resources for the resort and industrial bottling has recently increased. The increase in the number of enterprises for bottling mineral water and organizations of sanatorium-resort type has a significant impact on the growth of water intake of mineral waters. Irrational water collection leads to deterioration of groundwater quality, changes of its chemical compositions, temperature. The growth of the depression funnel can lead to the collapse of the roof layer and the disappearance of many sources. This applies to all waters located in the region of Caucasian Mineral Waters. Due to this, there is a potential risk of degradation of the considered mineral water deposits. Therefore, the hydrolithosphere processes development patterns forecast and its correlation with the volume of water intake in different areas of the field are important. Currently, this analysis is carried out by simple linear algorithms. The article proposes to use technology Nvidia CUDA for this purpose with adaptation of mathematical apparatus for photographs analysis. The source data for processing were obtained by aerial photography with remote area sensing of unmanned aerial vehicles of the enterprise, that is producing mineral water, JSC "Narzan" in Kislovodsk. Software algorithms (? 2013661620, ? 2014613035, ? 2014613151), the author's certificates given in this article are issued by the Federal Institute of industrial property of the Russian Federation.
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- CrossRef - Citation Indexes: 7
- Scopus - Citation Indexes: 16
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