Integration of Heterogeneous Data in Monitoring Environmental Assets

  • Dmitrii VerzilinEmail author
  • Tatyana Maximova
  • Yury Antokhin
  • Irina Sokolova
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 765)


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.


Ecological economy Environmental assets Environmental monitoring Heterogeneous data Internet purchases Key word searchers Land remote sensing data 



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.


  1. 1.
    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 PapersGoogle Scholar
  2. 2.
    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)Google Scholar
  3. 3.
    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)CrossRefGoogle Scholar
  4. 4.
    Costs for environmental protection as a percentage of GDP. EMISS.
  5. 5.
    Ecological Economics: The Transdisciplinary Journal of the International Society for Ecological Economics (ISEE).
  6. 6.
    Environmental tax revenues. Eurostat Data Database.
  7. 7.
    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)Google Scholar
  8. 8.
    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)Google Scholar
  9. 9.
    International Society of Ecological Economics (ISEE).
  10. 10.
    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)Google Scholar
  11. 11.
    Leontiev, V.: Impact on the environment and economic structure: the “input-output” approach. Economic essays, pp. 318–339. Politizdat, Moscow (1990). (in Russian)Google Scholar
  12. 12.
    Motkin, G.A.: Fundamentals of environmental insurance, 192 p. Nauka, Moscow (1996). (in Russian)Google Scholar
  13. 13.
    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)CrossRefGoogle Scholar
  14. 14.
    Report on the environmental situation in St. Petersburg in 2014. Ed. I.A. Serebritsky. SPb.: Diton LLC, 180 p. (2015). (in Russian).
  15. 15.
    Ryumina, E.V.: Ecological factor in economic-mathematical models, 166 p. Nauka, Moscow (1980). (in Russian)Google Scholar
  16. 16.
    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)CrossRefGoogle Scholar
  17. 17.
    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.,
  18. 18.
    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 PapersGoogle Scholar
  19. 19.
    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)Google Scholar
  20. 20.
    System of Environmental-Economic Accounting 2012 – Central Framework. New York: United Nations, 378 p. (2014). ISBN: 987-92-1-161563-0. eISBN: 978-92-1-055926-3Google Scholar
  21. 21.
    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)Google Scholar
  22. 22.
    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).
  23. 23.
    Transforming the Economy: Sustaining Food, Water, Energy and Justice. 2016 ISEE Conference/International Society of Ecological Economics (ISEE) (2016).
  24. 24.
    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.
  25. 25.
    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).
  26. 26.
    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)Google Scholar
  27. 27.
    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)Google Scholar
  28. 28.
    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)Google Scholar
  29. 29.
    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)Google Scholar
  30. 30.
    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).

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Dmitrii Verzilin
    • 1
    • 2
    Email author
  • Tatyana Maximova
    • 3
  • Yury Antokhin
    • 4
  • Irina Sokolova
    • 5
  1. 1.St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)St. PetersburgRussia
  2. 2.Lesgaft National State University of Physical Education, Sport and HealthSt. PetersburgRussia
  3. 3.Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)St. PetersburgRussia
  4. 4.Territorial Fund of Compulsory Medical Insurance of the Leningrad Region Bolshaya RaznochinnayaSt. PetersburgRussia
  5. 5.St. Petersburg State UniversitySt. PetersburgRussia

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