79148

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Intelligent Analysis of the Ecological State of Environment with Application of Distributed Expertise (on the Example of Bryansk Region)

Электронная публикация: 

Да

ISBN/ISSN: 

1613-0073

DOI: 

10.51130/graphicon-2020-2-3-77

Наименование конференции: 

  • 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020, St.Petersburg)

Наименование источника: 

  • CEUR Workshop Proceedings

Обозначение и номер тома: 

Vol. 2744

Город: 

  • Aachen, Germany

Издательство: 

  • RWTH Aachen University

Год издания: 

2020

Страницы: 

http://ceur-ws.org/Vol-2744/paper77.pdf
Аннотация
The paper considers the problem of assessing the ecological state of the environment in the region. An approach to the intelligent analysis and estimation of anthropo-technogenic pollution of a territory with the application of integral indicators which take into account environmental pollution is proposed. To estimate the integral indicator parameters, distributed group expertise technology is used, supporting a mechanism for control of expert estimates consistency, taking into account experts’ competency in the relevant subject areas. Using the proposed approach, the problem of risk assessment of environmental impact of chemical air pollutants has been solved. Methods for control of expert estimates consistency based on the procedure of feedback with experts made it possible to increase the reliability of evaluation results and also to decrease the influence of a random expert error on the final assessment. The obtained aggregated risk estimates were used to construct, calculate and visualize the integral indicator of radioactive and chemical contamination of the districts of Bryansk region.

Библиографическая ссылка: 

Гегерь Э.В., Подвесовский А.Г., Михалева О.А., Корсаков А.В. Intelligent Analysis of the Ecological State of Environment with Application of Distributed Expertise (on the Example of Bryansk Region) / CEUR Workshop Proceedings. Aachen, Germany: RWTH Aachen University, 2020. Vol. 2744. С. http://ceur-ws.org/Vol-2744/paper77.pdf.