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2019 | OriginalPaper | Chapter

Integration of Heterogeneous Data in Monitoring Environmental Assets

Authors : Dmitrii Verzilin, Tatyana Maximova, Yury Antokhin, Irina Sokolova

Published in: Cybernetics and Algorithms in Intelligent Systems

Publisher: Springer International Publishing

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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.

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Title: Integration of Heterogeneous Data in Monitoring Environmental Assets
Authors: Dmitrii Verzilin
Tatyana Maximova
Yury Antokhin
Irina Sokolova
Publisher: Springer International Publishing
Book: Cybernetics and Algorithms in Intelligent Systems
Print ISBN: 978-3-319-91191-5

Electronic ISBN: 978-3-319-91192-2

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-319-91192-2_19

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