DOI

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.

Язык оригиналаанглийский
Название основной публикацииSoftware Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018
РедакторыRadek Silhavy
ИздательSpringer Nature
Страницы176-185
Число страниц10
ISBN (печатное издание)9783319911915
DOI
СостояниеОпубликовано - 2019
Событие7th Computer Science On-line Conference, CSOC 2018 - Zlin, Чехия
Продолжительность: 25 апр 201828 апр 2018

Серия публикаций

НазваниеAdvances in Intelligent Systems and Computing
Том765
ISSN (печатное издание)2194-5357

конференция

конференция7th Computer Science On-line Conference, CSOC 2018
Страна/TерриторияЧехия
ГородZlin
Период25/04/1828/04/18

    Предметные области Scopus

  • Системотехника
  • Компьютерные науки (все)

ID: 75019401