Monitoring and Biochemical Treatment of Wastewater

• Autorzy: Dychko Alina , Remez Natalya , Kyselov Volodymyr , Kraychuk Serhii , Ostapchuk Nataliia , Kniazevych Anna

Identyfikatory

DOI

10.12911/22998993/119811

• Języki publikacji: EN

Abstrakty

EN

The present paper provides the methodology for the environmental monitoring of natural and engineering wastewater systems, which involves the determination of the dichotomous fractal structure of the measuring network, the boundaries of the range and the density of pollution on the Peano and Koch curves, based on the data of the measuring network and the corresponding interpolation and smoothing algorithms, as well as determination of the dynamics of the pollution range using the Bayesian theorem. On the basis of the theory of fractals and the theory of sets, the developed algorithms for monitoring allow determining the structure of the measuring network taking into account the features of the controlled range and the sets of fractal isolines of any configuration with a given accuracy of reflection, which allows predicting the change in the composition of the effluent that comes to the reservoirs from the landscapes and improving the functioning of the equipment and environmental safety of water in general. The established dependence of biogas productivity on the different methods for destruction of the active sludge microorganisms allows determining that the maximum output of biogas occurs when applying the chemical destruction of part of the sludge.

Słowa kluczowe

EN

biochemical wastewater treatment; biogas; fractals; monitoring; reliability

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2020
• Tom: Vol. 21, nr 4
• Strony: 150--159
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Dychko Alina

• Institute of Energy Saving and Energy Management, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37 Peremohy Ave., 03056, Kyiv, Ukraine

autor

Remez Natalya

• Institute of Energy Saving and Energy Management, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37 Peremohy Ave., 03056, Kyiv, Ukraine

autor

Kyselov Volodymyr

• Taurida National V.I. Vernadsky University, 33 Ivana Kudri Str., 04000, Kyiv, Ukraine

autor

Kraychuk Serhii

• Rivne State University of Humanities, 12 Stepana Bandery Str., Rivne, 33000, Ukraine

autor

Ostapchuk Nataliia

• Rivne State University of Humanities, 12 Stepana Bandery Str., Rivne, 33000, Ukraine

autor

Kniazevych Anna

• Stepan Demianchuk International University of Economics and Humanities, 4 Stepana Demianchuka Str., 33027, Rivne, Ukraine

Bibliografia

• 1. Anpilova E.S., Voloshkina O.S., Trofimchuk O.M. et al. 2007. Use of GIS technologies for inventory of sources of pollution of surface waters of transboundary objects. Ecology and resources. 16, 46–51 (in Ukrainian).
• 2. Brack W., Dulio V., Ågerstrand M. et al. 2017. Towards the review of the European Union Water Framework Directive: Recommendations for more efficient assessment and management of chemical contamination in European surface water resources. Science of the Total Environment. 576, 720–737.
• 3. Chung K., Hsu C. 2006. Novel predictionand subblock-based algorithm for fractal image compression. Chaos, Solitons & Fractals. 29 (1), 215–222.
• 4. Contreras E., Bertola N.& Zaritzky N. 2001. The application of different techniques to determine activated sludge kinetics parameters in a food industry wastewater. Water SA. 27 (2), 34–36.
• 5. Drigulich P.G. & Kalinkin O.G. 2007. Methods of monitoring the state of the environment in the field of drilling waste disposal (on example of Andryushivsky deposit). Oil and gas industry. 4, 51–54 (in Ukrainian).
• 6. Dychko A., Remez N., Opolinskyi I. et al. 2018. Modelling of Two-Stage Methane Digestion With Pretreatment of Biomass. Latvian Journal of Physics and Technical Sciences. 55 (2), 37–44.
• 7. Hafeez S., Wong M., Abbas S. et al. 2018. Detection and Monitoring of Marine Pollution Using Remote Sensing Technologies. Monitoring of Marine Pollution, Houma Bachari Fouzia, IntechOpen. DOI: 10.5772/intechopen.81657.
• 8. Klymenko M.O., Klymenko O.M. & Petruk A.M. 2013. Hydroecological monitoring of water ecosystems in view of modern European directions in environmental protection activities. Bulletin of Poltava State Agrarian Academy, 3, 22–27 (in Ukrainian).
• 9. McVay J., Hoorfar A. & Engheta N. 2006. Theory and experiments on Peano and Hilbert curve RFID tags. Proceedings of SPIE – The International Society for Optical Engineering. 6248. 10.1117/12.666911.
• 10. Potapov A. 2016. Chaos Theory, Fractals and Scaling in the Radar: A Look from 2015. 0.1007/978–3–319–29701–9_12.
• 11. Sean L.X. 2014. Food and Agricultural wastewater utilization. Rutgart: Blackwell publishing.
• 12. Sheng-bing H., Bao-zhen W., Lin W. et al. 2003. Determination of operational parameters of anaerobic phase for enhanced phosphorus removal in MBR. Journal of Environmental Sci. 15 (6), 749–756.
• 13. Sin G., Malisse K. & Vanrolleghem P.A. 2003. An integrated sensor for the monitoring of aerobic and anoxic activated sludge activities in biological nitrogen removal plants. Water Science and Technology. 47 (2), 10–12.
• 14. Yeremeev I.S. & Dychko A.O. 2012. Management of quality of biochemical wastewater treatment. System Research & Information Technologies, 4, 45–48 (in Ukrainian).
• 15. Yeremeyev I., Dychko A., Kyselov V. et al. 2019. Model Monitoring and Evaluation of Radioactive Contamination. Latvian Journal of Physics and Technical Sciences. 56 (4), 57–67.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).