Early determination and evaluation of technogenic risks within the water purification systems of TSs and TPSs
- Details
- Category: Content №1 2022
- Last Updated on 25 February 2022
- Published on 30 November -0001
- Hits: 3920
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.
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.
Newer news items:
- Automation of the coordinated road traffic control process - 25/02/2022 15:02
- Development of creative entrepreneurship in Ukrainian technical universities - 25/02/2022 15:02
- Financial and economic narratives for evaluation of innovative potential of enterprises - 25/02/2022 15:02
- Trends of development of financial and economic activity of entrepreneurial structures during the period of quarantine restrictions - 25/02/2022 15:02
- Model approach to estimating the cost of transfer of integral intangible system (technology) - 25/02/2022 15:02
- Cultural economics: the role of higher education institution in shaping the value systems - 25/02/2022 15:02
- Modeling of manipulator grip reaches with regard to generalized coordinate constraints - 25/02/2022 15:02
- Integrated improvement of the efficiency of computer control system of spatial orientation settings of drilling facilities - 25/02/2022 15:02
- Hazard mapping as a fundamental element of OSH management systems currently used in the mining sector - 25/02/2022 15:02
- Determination of tightness of the filtering half-mask adhesion to a user’s face - 25/02/2022 15:02
Older news items:
- Selective non-catalytic reduction of nitrogen oxides in the production of iron ore pellets - 25/02/2022 15:02
- Mechanism of protecting forest and land resources of Ukraine from illegal amber mining: legal aspect - 25/02/2022 15:02
- Substantiation of the green approach in the formation of a sustainable system of ecological logistics - 25/02/2022 15:02
- Defining the level of human comfort in the office environment by thermal factor - 25/02/2022 15:02
- Lubricants for rail transport liquid (plastic) for friction pair “wheel – rail” - 25/02/2022 15:02
- Disclosure of state uncertainty of the roller chain based on cross-correlation - 25/02/2022 15:02
- Feasibility study for using the fillers in the bearing structure components of a gondola car - 25/02/2022 15:02
- Beneficiation properties of ash-and-slag dumps - 25/02/2022 15:02
- Numerical studies on thermochemical processing of peat in a fixed layer - 25/02/2022 15:02
- Estimation of glass lubricant viscosity for hot extrusion of Cr-Ni steel and Ni alloy tubes - 25/02/2022 15:02