Early determination and evaluation of technogenic risks within the water purification systems of TSs and TPSs

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Authors:


I.V.Uriadnikova, orcid.org/0000-0002-3750-876X, State University of Telecommunications, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; 2 Kyiv National University of Construction and Architecture, Kyiv, Ukraine

V.H.Lebedev, orcid.org/0000-0003-2891-9708, Odesa Polytechnic National University, Odesa, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.M.Zaplatynskyi, orcid.org/0000-0003-0119-7135, Borys Grinchenko Kyiv University, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.I.Tsyhanenko, orcid.org/0000-0002-0485-6979, National University of Ukraine on Physical Education and Sport, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2022, (1): 095 - 101

https://doi.org/10.33271/nvngu/2022-1/095



Abstract:



Purpose.
To determine and evaluate technogenic risks within the water purification systems of TSs and TPSs during normal operation in terms of electrocoagulation plant.


Methodology.
It is proposed to apply a fault tree method for the analysis of various operation failures of water purification facilities in the heat power industry. Additional analysis method, applied at stages one and two of technogenic risk determination, is suggested for its use. The method is based upon the construction of matrix combining states of the system elements.


Findings.
The aggregation of the combination matrix and fault tree method makes it possible to derive a new grapho-analytical procedure to analyse probabilities of technogenic risk initiation in the context of any water purification system operation both at the stage of its design and at the stage of its work.


Originality.
Non-routine operation of a water purification system may depend upon certain internal reasons as well the external ones. The reasons pose risks to a situation that at the output of the system, water will turn out being insufficiently purified. It has been identified that in terms of the non-routine operation of water purification system, risk probability is worth analysing with the help of the fault tree serving as graphical representation of causal relationships obtained while considering dangerous situations in reverse order to determine probabilities for their initiation.


Practical value.
The procedure helps obtain quantitative, qualitative, and causal-consequential indicatorsfacilitating control of technogenic risk initiation in water purification systems. Software has been developed to calculate rapidly the probabilities of running of block elements or water purification system elements in an operation mode or in a failure mode, and see clearly the poorest combinations in terms of an electrocoagulation water purification system.



Keywords:
technogenic risk, fault tree, electrocoagulation, water purification system, heat power industry, power saving, environmental safety

References.


1. Kabir, S., & Papadopoulos, Y. (2018). A review of applications of fuzzy sets to safety and reliability engineering. International Journal of Approximate Reasoning, (100), 29-55. https://doi.org/10.1016/j.ijar.2018.05.005.

2. Pivnyak, G., Beshta, A., & Balakhontsev, A. (2010). Efficiency of water supply regulation principles. New Techniques and Technologies in Mining, 1-7. https://doi.org/10.1201/b11329-2.

3. Pietrucha-Urbanik, K., & Tchrzewska-Cielak, B. (2017). Failure risk assessment in water network in terms of planning renewals a case study of the exemplary water supply system. Water Practice and Technology, 12(2), 274-286. https://doi.org/10.2166/wpt.2017.034.

4. Nyahora, P.P., Babel, M.S., Ferras, D., & Emen, A. (2020). Multi-objective optimization for improving equity and reliability in intermittent water supply systems. Water Supply, 20(5), 1592-1603. https://doi.org/10.2166/ws.2020.066.

5. Galperin, E.M. (2014). About definition of functioning reliability of water supply and wastewater systems. Urban Construction and Architecture, 4(1), 5257. https://doi.org/10.17673/vestnik.2014.01.9.

6. Africa, A.D.M. (2017). A rough set based solar powered flood water purification system with a fuzzy logic model. ARPN Journal of Engineering and Applied Sciences, 12(3), 638-647.

7. Begalinov, A., Almenov, T., Zhanakova, R., & Bektur, B. (2020). Analysis of the stress deformed state of rocks around the haulage roadway of the Beskempir field. Mining of Mineral Deposits, 14(3), 28-36. https://doi.org/10.33271/mining14.03.028.

8. Baimukhanbetova, E., Onaltayev, D., Daumova, G., Amralinova,B., & Amangeldiyev, A. (2020). Improvement of informational technologies in ecology. E3S Web of Conferences, 159, 01008. https://doi.org/10.1051/e3sconf/202015901008.

9. Mustafin, S.A., Duisen, G.M., Zeinullin, A.A., & Korobova, E.V. (2019). Evaluation of the choice of borrower rating groups. News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences, 6(438). https://doi.org/10.32014/2019.2518-170X.166.

10. Bazaluk, O., Sadovenko, I., Zahrytsenko, A., Saik, P., Lozynskyi,V., & Dychkovskyi, R. (2021). Forecasting Underground Water Dynamics within the Technogenic Environment of a Mine Field: Case Study. Sustainability, 13(13), 7161. https://doi.org/10.3390/su13137161.

11. Kachynskyi, A.B., & Aharkova, N.V. (2013). Structural analysis of the system of maintenance of ecological and natural-technogenic safety of Ukraine. Systemni doslidzhennia ta informatsiini tekhnolohii, (1), 7-15. Retrieved from http://dspace.nbuv.gov.ua/handle/123456789/50012.

12. Fehr-Duda, H., De Gennaro, M., & Schubert, R. (2006). Gender, financial risk, and probability weights. Theory and decision, 60(2), 283-313. https://doi.org/10.1007/s11238-005-4590-0 .

13. Ilyashov, M., Diedich, I., & Nazimko, V. (2019). Prospective tendencies of coal mining risk management. Mining of Mineral Deposits, 13(1), 111-117. https://doi.org/10.33271/mining13.01.111.

14. Shahani, N.M., Sajid, M.J., Zheng, X., Jiskani, I.M., Brohi,M.A., Ali, M., , & Qureshi, A.R. (2019). Fault tree analysis and prevention strategies for gas explosion in underground coal mines of Pakistan. Mining of Mineral Deposits, 13(4), 121-128. https://doi.org/10.33271/mining13.04.121.

15. Mahmood, Y.A., Ahmadi, A., Verma, A. K., Srividya, A., & Kumar, U. (2013). Fuzzy fault tree analysis: a review of concept and application. International Journal of System Assurance Engineering and Management, 4(1), 19-32. https://doi.org/10.1007/s13198-013-0145-x.

16. Budiyanto, M.A., & Fernanda, H. (2020). Risk Assessment of Work Accident in Container Terminals Using the Fault Tree Analysis Method. Journal of Marine Science and Engineering, 8(6), 466. https://doi.org/10.3390/jmse8060466.

17. Henriques de Gusmo, A.P., Mendona Silva, M., Poleto, T., Camara e Silva, L., & Cabral Seixas Costa, A.P. (2018). Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory. International Journal of Information Management, (43), 248-260. https://doi.org/10.1016/j.ijinfomgt.2018.08.008.

18. Sherin, S., Rehman, Z., Hussain, S., Mohammad, N., & Raza, S. (2021). Hazards identification and risk analysis in surface mines of Pakistan using fault tree analysis technique. Mining of Mineral Deposits, 15(1), 119-126. https://doi.org/10.33271/mining15.01.119.

 

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ISSN (print) 2071-2227,
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