Integrated environmental risk index in justification of nature-oriented decision-making under uncertainty: A case-study of liquid industrial storage

Liquid industrial waste storages at coal-fired electric power plants are described. The environment quality monitoring data on the liquid industrial waste storage and neighborhood are reported. The ecological monitoring data over the period from 2010 to 2020 are analyzed. It is concluded on the absence of leakage from the test waste storage. The factors of uncertainty risk of zero leakage estimates from the monitoring data are analyzed. The ecological monitoring data reliability is determined for the liquid industrial waste storages. The factors affecting certainty of the monitoring-based estimates are identified. The approach to evaluation of weight of each factor in uncertainty risk of estimates based on the ecological monitoring data on liquid industrial waste storages is presented. The recent trends in the environmental risk assessment in different industries are reviewed. Considering different-nature external factors, a guideline is offered for the environmental risk assessment, which is critical by the authors’ opinion when making managerial and engineering decisions under uncertainty, toward environmental safety of liquid industrial waste storages. The calculation of leakage risks at more than 50 years old liquid industrial waste storage is given. The tool and key point of ecological risk assessment of liquid industrial waste storages are described. The ways of using the proposed approach are identified.

Keywords: liquid industrial waste storage, environmental risk, probability, uncertainty, ash dump at recirculating water power plant, monitoring, environmental control, contaminant concentration, reliability, quality index method.
For citation:

Khokhryakov A. V., Rybnikov P. A., Tseytlin E. M., Konovalov I. V. Integrated environmental risk index in justification of nature-oriented decision-making under uncertainty: A case-study of liquid industrial storage. MIAB. Mining Inf. Anal. Bull. 2021;(11-1):71—89. [In Russ]. DOI: 10.25018/0236_1493_2021_111_0_71.

Acknowledgements:
Issue number: 11
Year: 2021
Page number: 71-89
ISBN: 0236-1493
UDK: 504.06:556
DOI: 10.25018/0236_1493_2021_111_0_71
Article receipt date: 25.05.2021
Date of review receipt: 15.07.2021
Date of the editorial board′s decision on the article′s publishing: 10.10.2021
About authors:

Khokhryakov A. V.1, Dr. Sci. (Eng.), Professor, Head of the Environmental Engineering Department, e-mail: avx09@mail.ru;
Rybnikov P. A.1,2, Cand. Sci. (Geol. Mineral.), Associate Professor at the Environmental Engineering Department, Leading Researcher, Head of Laboratory of Digital Geoinformation Technologies in Subsoil Management, e-mail: ribnikoff@yandex.ru;
Tseytlin E. M.1, Cand. Sci. (Geol. Mineral.), Associate Professor at the Environmental Engineering Department, e-mail: tseitlin.e.m@gmail.com;
Konovalov I. V.1, Senior Lecturer at the Environmental Engineering Department, e-mail: igor-nay@yandex.ru;
1 Ural State Mining University, Yekaterinburg, Russia;
2 Institute of Mining Ural Branch Russian Academy of Sciences, Yekaterinburg, Russia.

 

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