Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Strelnikov Viktor Vladimirovich

Scholastic degree


Academic rank

professor

Honorary rank

—

Organization, job position

Kuban State Agrarian University
   

Web site url

—

Email

—


Articles count: 7

340 kb

THE INFLUENCE OF ANTHROPOGENIC FACTORS ON THE STATE OF THE TREES IN MAIKOP

abstract 1001406084 issue 100 pp. 1287 – 1299 30.06.2014 ru 1519
Results of researches of influence of anthropogenic factors on the condition of tree plantations in Maykop
131 kb

INFLUENCE OF COLOR PERCEPTION OF LIGHTING-CARE ON PRODUCTIVITY AND ENVIRONMENTALLY SAFE PRODUCTION OF POULTRY

abstract 1491905031 issue 149 pp. 128 – 137 31.05.2019 ru 481
The article discusses the impact of color lighting on changes in productivity and environmental safety of poultry products. We have given recommendations to optimize the cost of electricity for lighting the house
136 kb

EVALUATION OF THE INFLUENCE OF MINERAL FERTILIZERS ON AGRI-ENVIRONMENTAL INDICATORS OF ORDINARY BLACK SOIL

abstract 1501906012 issue 150 pp. 69 – 79 28.06.2019 ru 586
As a result of the study of the influence of different forms, doses and timing of mineral fertilizers on the content of heavy metals in soils of different areas of the agricultural landscape, in the conditions of the relief of the Timashevsky district, there was no excess of MPC values for both gross and mobile forms in the arable and subsurface horizons of ordinary black soil. It is noted that mineral fertilizers do not have a negative impact on the agroecological indicators of ordinary black soil
177 kb

ASSESSMENT OF THE IMPACT OF MAN-MADE OBJECTS ON THE SPECIFIC OF HEAVY METALS ACCUMULATION IN THE AGRICULTURAL LANDSCAPE

abstract 1471903017 issue 147 pp. 138 – 149 29.03.2019 ru 441
As a result of the researching of anthropogenic influence on the agricultural landscape of Public Corporation "Agrofirma "Niva" from human economic activities with are related to: the pesticides and mineral fertilizers using; the work of agricultural machinery, and the movement of vehicles on the highway. The experimental material on the formation of dust masses and the accumulation of heavy metals in the soil. On the researching territory was found out three times excess of zinc MPC* (23 mg/kg, including background) and four times more of lead MPC (6,0 mg/kg, including background) *maximum permissible concentration
4897 kb

APPLICATION OF THE INFORMATION THEORY AND COGNITIVE TECHNOLOGIES FOR MODELING ECOLOGICAL AND SOCIOECONOMIC SYSTEMS (ASC-analysis of the impact of environmental and commercial factors on the health of the population)

abstract 1211607001 issue 121 pp. 1 – 67 30.09.2016 ru 961
A determination system of the population health is a big complex hierarchical system. The current level of management of such systems involves the use of mathematical models and corresponding software tools for the accumulation of baseline data (monitoring), identification, prediction and decision-making. However, when modeling such large complex systems, we face a number of problems. The main problem is that in one model it is necessary to process a very large number of factors in a proper and comparable way, that are measured in different units, and different types of scales (numeric and text). Traditionally, to solve this problem and determine the values of individual criteria we use expert evaluation and desirability functions, and the integral criterion is the geometric mean. However, the traditional approach, currently applied in this field, has several disadvantages. First, in the traditional model it is defined in an expert way, which factors influence the decision of different problems in a positive way, which ones are negative and which ones do not affect. Second, for the numerical evaluation of influence factors on the solution of the problem we use different algorithms for calculating values of the desirability function for positively and negatively influencing factors which, when used as an integral criterion of the geometric average, leads to comparable results. Third, the use of normalized utility functions leads to the leveling force of the impact factors resulting in weak impact and the influencing factors are given the same variation in numeric values and have similar influence on integral criteria. All of the mentioned problems of the traditional approach have been resolved using Automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – Universal cognitive analytical system called "Eidos". In the proposed systemic cognitive model, for the values of environmental and economic factors, without the participation of the experts, we have calculated the amount and the sign of the information contained there about some values of indicators of population health
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