Assessment of the reliability of the operation of a sewage treatment plant using Monte Carlo simulation

• Autorzy: Migdał Karolina , Operacz Agnieszka , Vaskina Iryna , Śliz Paulina , Tavares Jorge , Almeida Adelaide , Migdał Michał

Identyfikatory

DOI

10.24425/jwld.2022.143723

• Języki publikacji: EN

Abstrakty

EN

The aim of the study was to model the operation of a wastewater treatment plant using the Monte Carlo method and selected probability distributions of random variables. Pollutant indices in treated wastewater were analysed, such as: biological oxygen demand (BOD₅), chemical oxygen demand (COD_Cr), total suspended solids (TSS), total nitrogen (N_tot), total phosphorus (P_tot). The preliminary analysis of pollution indicators series included the: calculation of descriptive statistics and assessment of biological degradability of wastewater. The consistency of the theoretical distributions with the empirical ones was assessed using Anderson-Darling statistics. The best-fitting statistical distributions were selected using the percent bias criterion. Based on the calculations performed, it was found that the analysed indicators of pollution in treated wastewater were characterised by an average variability of composition for BOD₅, COD_Cr and TSS, and a high variability of composition for N_tot and P_tot. The best fitted distribution was log-normal for BOD₅, TSS, N_tot and P_tot and general extreme values for COD_Cr. The simulation carried out using the Monte-Carlo method confirmed that there may be problems associated with the reduction of nutrients (N_tot and P_tot) the analysed wastewater treatment plant. Results of values obtained of the risk values of negative control of wastewater treatment plant operation for biogenic compounds, different from 1, indicate that the number of exceedances at the outflow may be higher than the acceptable one.

Słowa kluczowe

EN

efficiency; mathematical simulation; Monte Carlo simulation; pollution indicators; probability distribution; sewage treatment plant

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2022
• Tom: Special Issue
• Strony: 80--90
• Opis fizyczny: Bibliogr. 62 poz., tab., wykr.

Twórcy

autor

Migdał Karolina

• University of Agriculture in Krakow, Faculty of Environmental Engineering and Land Surveying, Department of Sanitary Engineering and Water Management, al. Mickiewicza 24/28, 30-059 Kraków, Poland

• https://orcid.org/0000-0003-2944-9656

autor

Operacz Agnieszka

• University of Agriculture in Krakow, Faculty of Environmental Engineering and Land Surveying, Department of Sanitary Engineering and Water Management, al. Mickiewicza 24/28, 30-059 Kraków, Poland

• https://orcid.org/0000-0002-1717-1661

autor

Vaskina Iryna

• Sumy State University, Faculty of Technical System and Energy Efficient Technologies, Department of Applied Ecology, Sumy, Ukraine

• https://orcid.org/0000-0001-5904-9640

autor

Śliz Paulina

• Cracow University of Economics, Institute of Spatial Management and Urban Studies, Department of Spatial Management, Kraków, Poland

• https://orcid.org/0000-0001-8369-2775

autor

Tavares Jorge

• Polytechnic Institute of Beja, Department of Technology and Applied Sciences, Beja, Portugal
• University of Beira Interior, Faculty of Engineering, Research Unit Fiber Materials and Environmental Technologies (FibEnTech-UBI), Covilhã, Portugal

• https://orcid.org/0000-0002-4222-4251

autor

Almeida Adelaide

• Polytechnic Institute of Beja, Department of Technology and Applied Sciences, Beja, Portugal
• University of Beira Interior, Faculty of Engineering, Research Unit Fiber Materials and Environmental Technologies (FibEnTech-UBI), Covilhã, Portugal
• University Nova of Lisbon, Faculty of Science and Technology, Center for Environmental and Sustainability Research (CENSE), Lisbon, Portugal

• https://orcid.org/0000-0001-6612-9411

autor

Migdał Michał

• Stalprodukt S.A., Bochnia, Poland

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).