TY - GEN

T1 - INTEGRAL ASSESSMENT OF ENVIRONMENTAL QUALITY AND THE QUALITY OF LIFE OF THE POPULATION OF THE ARCTIC REGIONS OF RUSSIA IN THE PERIOD FROM 2003 TO 2015

AU - Дмитриев, Василий Васильевич

N1 - Dmitriev V.V.Integral assessment of environmental quality and the quality of life of the population of the Arctic regions of Russia in the period from 2003 to 2015. International Scientifik Conference «Mathematical modeling processes and systems» 13-16 December, 2017. Borovets, Bulgaria. рp.147-151 https://elibrary.ru/item.asp?id=30761057 ISSN 2535-0978 (Print) ISSN 2603-3003 (Online) International Scientific Jornal MATHEMATICAL MODELING 2/2017. YEAR I, ISSN 2/2017. Publisher: Scientific Technical Union of Mechanical Engineering «INDUSTRY 4.0», Sofia, Bulgar-ia, pp.100-104. [1] United Nations Organization. Economic and Social Council. Statistical Commission Forty-second session 22–25 February 2011 Clause 4(o) of the preliminary agenda E/CN.3/2011/1. Questions for information: measuring efficiency of economics and social progress. Report of National Institute of Statistics and Economic Studies. I. Recommendations of Stiglitz Commission. P.2. [2] Transforming our world: Agenda of sustainable development for the period until 2030. The resolution taken by the UN General Assembly 25 September 2015, A/RES/70/, 44 p. [3] Report of the interdepartmental group of experts for indicators of objective fulfillment in the sphere of sustainable development. UNO. Economic and Social Council. Forty-Seventh session. 8-11 March 2016. E/CN.3/2016/2, 46 p. [4] Khovanov N.V. Analysis and synthesis of indicators in the information deficit. SPb.: SPbSU Publishers, 1996. 196 p. [5] Noam Lior. Quantitative indicators of sustainable energy development. Energy Bulletin, 2015, No.19, p.8-29. [6] Dmitriev V.V., Osipov G.K. INTEGRAL ASSESSMENT OF STABILITY OF SOCIAL-ECOLOGICALECONOMIC SYSTEM AGAINST CHANGES IN ITS FUNCTIONING CONDITIONS. 17th International multidisciplinary Scientific Geoconference SGEM 2017. Conference Proceedings. Volume 17. Ecology, Economics, Education and Legislation. ISSUE 52. Ecology and Environmental protection. 29 June – 5 July, 2017.Albena, Bulgaria, 565-572 pp. DOI: 10.5593/sgem2017/52. [7] Dmitriev V.V., Lobacheva S.V., Chistilina V.S. Assessment of the state of socio-ecological-economic systems of the regions of Russia: AZR regions. Materials of the International scientific and practical conference “Modern Ecology: Education, Science, Practice”, 2017, Voronezh, p.297-301. [8] Dmitriev V.V. & Kaledin N.V. Integrated assessment of regional socio-ecological-economic systems and the quality of life (case study the constituent entities of the North-Western Federal District of Russia), Vol. 8, No.2, The Baltic region, Russia, 2016, pp.125-140. [9] Vasiliy Dmitriev, Vladimir Kaledin, Nikolai Kaledin THEORY AND PRACTICE OF INTEGRATED ASSESSMENT OF THE STATE OF COMPLEX SYSTEMS IN NATURE AND SOCIETY 16th International multidisciplinary Scientifc Geocoferrence SGEM 2016, Book 5, Ecology, Economics, Education and Legislation, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-66-7; ISSN 1314-2704, 30 June-06 July, 2016, Albena, Bulgaria, Vol. II, 871-877 pp. DOI: 10.5593/SGEM2016/B52/S20.113. [10] Dmitriev V.V. &Kaledin N.V. Integrated assessment of regional socio-ecological-economic systems and the quality of life (case study the constituent entities of the North-Western Federal District of Russia), Vol. 8, No.2, The Baltic region, Russia, 2016, pp.125-140.

PY - 2017

Y1 - 2017

N2 - The integral assessment of environmental quality and quality of life of the population of 9 regions of the Arctic zone of the Russian Federation in the period from 2003 to 2015 is considered. To build integrated indicators, we used: summary indicators, randomized summary indicators, and "ASPID methodology" (analysis and synthesis of indicators in the information deficit). When calculating weights, incomplete, inaccurate, non-numeric information was taken into account) about the criteria and priorities of the evaluation. To assess the quality of the environment, 8 parameters were used. To assess the quality of life of the population, the state of three subsystems was taken into account: ecological (8 parameters), economic (5 parameters), social (5 parameters). The choice of criteria was made taking into account the information available on the website of the Federal Service of State Statistics of the Russian Federation, in the collections "Regions of Russia" and in state reports "On the state of the environment ..." To assess the quality of the environment in the regions and thequality of life of the population of the regions, five quality classes were  introduced (I - high, II - above average, III - average, IV - below average, V - low). In constructing integral indicators, the sum of the normalized values of the indicators within subsystems (blocks) and between them was used as a  synthesizing function, taking into account the equilibrium or nonequilibrium setting of priorities. When assessing the quality of the environment, all regions fall into the third class (middle - the right border of the class) with a slight temporal change. In evaluating the quality of life, three groups of regions were identified. In the first group, the quality of life for the period under review improved by 10 percent or more. The second group includes regions with an improvement in the quality of life by 5-10%, the third group includes regions with an improvement in the quality of life up to 5%. For the same time interval, the quality of life of the APR regions was compared with the regions of Central Russia (Tver Region). The forecast scenarios of a possible change in the quality of the environment and the quality of life of the population in the regions are considered. The studies were carried out with the support of the RFBR grant No. 16-05-00715-a.

AB - The integral assessment of environmental quality and quality of life of the population of 9 regions of the Arctic zone of the Russian Federation in the period from 2003 to 2015 is considered. To build integrated indicators, we used: summary indicators, randomized summary indicators, and "ASPID methodology" (analysis and synthesis of indicators in the information deficit). When calculating weights, incomplete, inaccurate, non-numeric information was taken into account) about the criteria and priorities of the evaluation. To assess the quality of the environment, 8 parameters were used. To assess the quality of life of the population, the state of three subsystems was taken into account: ecological (8 parameters), economic (5 parameters), social (5 parameters). The choice of criteria was made taking into account the information available on the website of the Federal Service of State Statistics of the Russian Federation, in the collections "Regions of Russia" and in state reports "On the state of the environment ..." To assess the quality of the environment in the regions and thequality of life of the population of the regions, five quality classes were  introduced (I - high, II - above average, III - average, IV - below average, V - low). In constructing integral indicators, the sum of the normalized values of the indicators within subsystems (blocks) and between them was used as a  synthesizing function, taking into account the equilibrium or nonequilibrium setting of priorities. When assessing the quality of the environment, all regions fall into the third class (middle - the right border of the class) with a slight temporal change. In evaluating the quality of life, three groups of regions were identified. In the first group, the quality of life for the period under review improved by 10 percent or more. The second group includes regions with an improvement in the quality of life by 5-10%, the third group includes regions with an improvement in the quality of life up to 5%. For the same time interval, the quality of life of the APR regions was compared with the regions of Central Russia (Tver Region). The forecast scenarios of a possible change in the quality of the environment and the quality of life of the population in the regions are considered. The studies were carried out with the support of the RFBR grant No. 16-05-00715-a.

KW - INTEGRATED ASSESSMENT, QUALITY OF ENVIRONMENT, QUALITY OF LIFE, ARCTIC REGIONS

KW - INTEGRATED ASSESSMENT, QUALITY OF ENVIRONMENT, QUALITY OF LIFE, ARCTIC REGIONS

UR - https://elibrary.ru/item.asp?id=30761057

UR - http://www.mathmodel.eu.

M3 - Conference contribution

T3 - International Scientifik Conference «Mathematical modeling processes and systems»

SP - 147

EP - 151

BT - MATHEMATICAL MODELING

PB - Scientific Technical Union of Mechanical Engineering «INDUSTRY 4.0»

CY - Bulgaria

ER -