PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Modelling process of municipal wastewater quality - backgrounds and preliminary application

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
16th Summer Safety & Reliability Seminars - SSARS 2022, 4-11 September 2022, Ciechocinek, Poland
Języki publikacji
EN
Abstrakty
EN
The probabilistic model of municipal wastewater quality process is proposed in the chapter. The methods of its characteristics and parameters statistical identification and prediction are presented. Next the proposed model is practically applied to examine and characterized the quality of the municipal wastewater collected in the exemplary sewage treatment plant.
Bibliografia
  • Baltic University. 2003. Environmental Science - Understanding, Protection, and Managing the Environment in the Baltic Sea Region. L. Ryden, P. Migula& M. Andersson (Eds.). The Baltic University Press, Uppsala.
  • Bogalecka, M. 2020. Consequences of Maritime Critical Infrastructure Accidents. Environmental Impacts. Modeling - Identification - Prediction - Optimization - Mitigation. Elsevier, Amsterdam - Oxford - Cambridge.
  • Efroymson, R.A., Jones, D.S.&Gold, A.J. 2007. An ecological risk assessment framework for effects of onsite wastewater treatment systems and other localized sources of nutrients on aquatic ecosystem. Human and Ecological Risk Assessment 13, 574-614.
  • Grabski, F. 2015. Semi-Markov Processes: Applications in System Reliability and Maintenance. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Sydney - Tokyo.
  • HELCOM. 2009. Eutrophication in the Baltic Sea - An integrated thematic assessment of the effects of nutrient enrichment and eutrophication in the Baltic Sea region: Executive Summary. Baltic Sea Environment Proceedings No.115A and No. 115B.
  • HELCOM. 2021. Input of nutrients by the seven biggest rivers in the Baltic Sea region 1995-2017. Baltic Sea Environment Proceedings No.178.
  • HELCOM. 2022. Effectiveness of measures to reduce nutrient input. Baltic Sea Environment Proceedings No.184.
  • Iosifescu, M. 1980. Finite Markov Processes and Their Applications. John Wiley & Sons, Ltd, New York.
  • Kołowrocki, K. 2004. Reliability of Large Systems. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
  • Kołowrocki, K. 2014. Reliability of Large and Complex Systems. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
  • Kołowrocki, K.& Soszyńska-Budny, J. 2011. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization. Springer, London - Dordrecht - Heidelberg - New York.
  • Korolyuk, V.S., Brodi, S.M.& Turbin, A.F. 1975. Semi-Markov processes and their applications. Journal of Soviet Mathematics 4(3), 244-280.
  • Lev’y, P. 1954. Proceesus semi-markoviens. Proceedings of International Congress of Mathematicians, Amsterdam, 416-426.
  • Limnios, N. & Oprisan, G. 2001. Semi-Markov Processes and Reliability. Birkhauser, Boston.
  • Ministry of Maritime Economy and Inland Navigation. 2019. Regulation of the Minister of Maritime Economy and Inland Navigation of 12 July 2019 on substances particularly harmful to the aquatic environment and the conditions to be met when discharging sewage into waters or ground, as well as when discharging rainwater or meltwater into waters or into devices aquatic (DzU 2019, poz. 1311) in Polish.
  • Serdarevic A.& Dzubur A. 2016. Wastewater process modeling. Coupled Systems Mechanics 5(1), 21-39.
  • Smith, W.L. 1955. Regenerative stochastic processes. Proceedings of the Royal Society, Ser. A 232, 631.
  • Tchobanoglous, G., Stensel, D., Tsuchihashi, R.& Burton, F. 2014.Wastewater Engineering. Treatment and Resource Recovery. Metcalf & Eddy, McGraw-Hill Companies Inc.
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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-92e50626-a182-4ecc-82f0-ee6cfaeb64b7
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.