Abstract
The purpose of the study was to develop a general scheme for measuring and analyzing the dynamics of the state of environmental assets using a set of indicators constructed from environmental, social and economic monitoring data. Methodical approaches to the collection and integration of heterogeneous data describing the functioning of eco-economic objects (port, object of agriculture, recreational zone) have been developed. These data can be obtained as a result of ground-based measurements, remote sensing of the Earth, research of online activity of the population related to environmental responsibility and environmental concerns, and the determination of statistical indicators describing dynamics of environmental assets. The set of the indicators obtained from the remote sensing data of the land has been determined for the port area as a source of adverse impact on environmental assets. It was found out that the data on the Internet search queries for keywords related to environmental pollution reflect the degree of concern of the population with the environmental situation in the region and can be used as an indirect indicator of environmental ill-being. A general framework for integration of heterogeneous data in multi-criteria assessment of the state of eco-economic objects was grounded.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brodovskaya, E., Dombrovskaya, A., Synyakov, A., Batanina, I.: Online social activity in Latin America (Mexico, Chile and Uruguay) and Russia: cross-national research. In: Chugunov, A.V., Bulgov, R., Kabanov, Y., Kampis, G., Wimmer, M. (eds.) Digital Transformation and Global Society First International Conference, DTGS 2016, St. Petersburg, Russia, 22–24 June 2016, pp. 26–34 (2016). Revised Selected Papers
Chereshnev, V.A., Verzilin, D.N., Maksimova, T.G., Versilin, S.D.: Ecologization and socioeconomic development of the regions: assessment of regional differentiation. Econ. Reg. 1(33), 33–46 (2013). (in Russian)
Choi, J.-K., Park, Y.J., Lee, B.R., Eom, J., Ryu, J.-H.: Application of the Geostationary Ocean Color Imager (GOCI) to mapping the temporal dynamics of coastal water turbidity. Remote Sens. Environ. 146, 24–35 (2014)
Costs for environmental protection as a percentage of GDP. EMISS. https://fedstat.ru/indicator/57339
Ecological Economics: The Transdisciplinary Journal of the International Society for Ecological Economics (ISEE). http://www.journals.elsevier.com/ecological-economics
Environmental tax revenues. Eurostat Data Database. http://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do
Gofman, K.G.: Economic mechanism of nature use in the transition to a market economy. Econ. Math. Meth. 27(2), 315–321 (1991). (in Russian)
Gofman, K.G.: Transition to the market and the ecologization of the tax system in Russia. Econ. Math. Meth. T.30(4) (1994). (in Russian)
International Society of Ecological Economics (ISEE). http://www.isecoeco.org
Leontiev,V., Ford, D.: Interbranch analysis of the impact of the structure of the economy on the environment. Economics and mathematical methods, vol. VIII (1972). vol. 3, pp. 370–400 (in Russian)
Leontiev, V.: Impact on the environment and economic structure: the “input-output” approach. Economic essays, pp. 318–339. Politizdat, Moscow (1990). (in Russian)
Motkin, G.A.: Fundamentals of environmental insurance, 192 p. Nauka, Moscow (1996). (in Russian)
Potryasaev, S.A., Sokolov, B.V., Yusupov, R.M.: Conceptual and formal description of structure-function alsynthesis and development control problems of space and ground based date monitoring information systems. SPIIRAS Proc. 5(28), 82–106 (2013)
Report on the environmental situation in St. Petersburg in 2014. Ed. I.A. Serebritsky. SPb.: Diton LLC, 180 p. (2015). (in Russian). http://gov.spb.ru/static/writable/ckeditor/uploads/2015/06/19/doklad_2014_SWipmNU.pdf
Ryumina, E.V.: Ecological factor in economic-mathematical models, 166 p. Nauka, Moscow (1980). (in Russian)
Santini, F., Alberotanza, L., Cavalli, R.M., Pignatti, S.: A two-step optimization procedure for assessing water constituent concentrations by hyperspectral remote sensing techniques: an application to the highly turbid Venice lagoon waters. Remote Sens. Environ. 114(4), 887–898 (2010)
Sokolov, B., Verzilin, D., Maximova, T., Sokolova, I.: Dynamic models of self-organization through mass behavior in society. In: Advances in Intelligent Systems and Computing (AISC, vol. 679), vol. 1, pp. 114–123. Springer, Cham (2018). Part of the Advances in Intelligent Systems and Computing book series. Print ISBN 978-3-319-68320-1, Online ISBN 978-3-319-68321-80. https://doi.org/10.1007/978-3-319-68321-8, https://link.springer.com/chapter/10.1007/978-3-319-68321-8_12
Sokolov, B., Yusupov, R., Verzilin, D., Sokolova, I., Ignatjev, M.: Methodological basis of socio-cyber-physical systems structure-dynamics control and management. In: Chugunov, A.V., Bulgov, R., Kabanov, Y., Kampis, G., Wimmer, M. (eds.) Digital Transformation and Global Society First International Conference, DTGS 2016, St. Petersburg, Russia, 22–24 June 2016, pp. 610–618 (2016). Revised Selected Papers
Sukharev, O.S.: The general economic and “ecological” efficiency: theoretical statement. The Bulletin of the Perm university. Series: The Economy, No. 3 (2014). (in Russian)
System of Environmental-Economic Accounting 2012 – Central Framework. New York: United Nations, 378 p. (2014). ISBN: 987-92-1-161563-0. eISBN: 978-92-1-055926-3
Temporary sample methodology for determining the economic efficiency of implementing environmental measures and assessing economic damage caused to the national economy by environmental pollution. Approved by the decision of the State Planning Committee of the USSR, Gosstroy USSR and the Presidium of the USSR Academy of Sciences on 21 October 1983, No. 254/284/134. Economics (1986). (in Russian)
The State Program of the Russian Federation “Environmental Protection” for 2012–2020. Approved by Resolution of the Government of the Russian Federation of 15 April 2014, No. 326. (in Russian). http://programs.gov.ru/Portal/programs/passport/12
Transforming the Economy: Sustaining Food, Water, Energy and Justice. 2016 ISEE Conference/International Society of Ecological Economics (ISEE) (2016). http://www.isecoeco.org/isee-2016-conference/
Verzilin, D., Maximova, T., Sokolova, I.: Online socioeconomic activity in Russia: patterns of dynamics and regional diversity. Digital Transformation and Global Society: Second International Conference, DTGS 2017, St. Petersburg, Russia, 21–23 June 2017, vol. 745, pp. 55–69. Springer, Heidelberg (2017). Revised Selected Papers. Book Series: Communications in Computer and Information Science. Print ISBN: 978-3-319-69783-3. Electronic ISBN: 978-3-319-69784-0. https://www.springerprofessional.de/en/online-socioeconomic-activity-in-russia-patterns-of-dynamics-and/15206136
Verzilin, D.N., Maksimova, T.G., Antokhin, Y.N.: Socio-economic and ecological indicators of the state of ecological and economic objects: genesis and development. Soc. Polit. Econ. Law 12 (2017). (in Russian). http://www.dom-hors.ru/vipusk-12-2017-obshchestvo-politika-ekonomika-pravo/
Verzilin, D.N., Mamonov, S.A., Corbunova, I.R.: Modelling coherent and self-organization behaviour of social and economic system. In: XVI International Conference “Dynamical System Modeling and Stability Investigations” (DSMSI-2013), Taras Shevchenko National University of Kiev, Ukraine, 29–31 May 2013, 422 p. (2013)
Verzilin, D.N., Maximova, T.G.: Models of social actors’ reaction on external impacts. St. Petersburg State Polytechnical Univ. J. Comput. Sci. Telecommun. Control Syst. 2(120), 140–145 (2011)
Verzilin, D.N., Potapychev, S.N., Ryzhkov, N.A.: The use of simulation to evaluate the response of social and economic systems to external influences. In: V Conference “Simulation. Theory and Practice”, IMMOD 2011, St. Petersburg, 19–21 October 2011, pp. 115–119 (2011). (in Russian)
Verzilin, D.N., Shanygin, S.I., Chereshneva, A.V.: Conceptual bases of modelling of social systems and estimation of stability of social processes. St. Petersburg State Polytechnical Univ. J. Comput. Sci. Telecommun. Control Syst. 5(133), 123–128 (2011). (in Russian)
Zelentsov, V.A., Krylenko, I.N., Pimanov, I.Y., Postryasayev, S.A., Sokolov, B.V., Ahtman, J.: Principles of Earth Remote Sensing Processing Data System Design on the Base of Service Oriented Architecture. Izv. Universities. Instrument making, vol. 58, No. 3, pp. 241–243 (2015). (in Russian). https://cyberleninka.ru/article/v/osnovy-postroeniya-sistemy-obrabotki-dannyh-distantsionnogo-zondirovaniya-zemli-na-baze-servisorientirovannoy-arhitektury
Acknowledgments
The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 15-08-08459, 16-07-00779, 17-08-00797, 17-06-00108), Russian Humanitarian Found (grants 15-04-00400), state research 0073–2018–0003.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Verzilin, D., Maximova, T., Antokhin, Y., Sokolova, I. (2019). Integration of Heterogeneous Data in Monitoring Environmental Assets. In: Silhavy, R. (eds) Cybernetics and Algorithms in Intelligent Systems . CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 765. Springer, Cham. https://doi.org/10.1007/978-3-319-91192-2_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-91192-2_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-91191-5
Online ISBN: 978-3-319-91192-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)