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Integration of Heterogeneous Data in Monitoring Environmental Assets

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

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.

Keywords

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

Notes

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.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Dmitrii Verzilin
    • 1
    • 2
  • 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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