The computer modeling of aerobic processes wastewater treatment
Keywords:
mathematical model, aerobic treatment, reverse effect, asymptotics, waste water, activе sludgeAbstract
The work is devoted to the problem of wastewater treatment from various impurities. To avoid corrupting influence of anthropogenic factors using various treatment system filters the most common of which are biological. There are a number of problems that require deep study or interpretation despite the large number of works devoted to this subject. In particular, the works of the biological treatment is considered as a process and believe that the quality of treatment affect the basic geometric dimensions of structures. Some authors describe processes in manufacturing facilities in the biological purification of waste water only partially, not including all mutual influences. According to the research of process of aerobic wastewater treatment, the mathematical model was developed. It describes the processes of changing the concentration of bacteria, organic and biological materials and includes the interact of these parameters with each other. Based on calculations the influence of the main parameters of the efficiency of biological treatment were considered. The influence of oxygen concentration and sludge on the quality of the cleaning process was shownReferences
1. Bomba, A., A. Safonyk (2013). “Mathematical modeling of aerobic wastewater treatment in porous medium.” Zeszyty Naukowe WSInf 12(1): 21–29.
2. Adetola, V., D. Lehrer, et al. (2011). Adaptive estimation in nonlinearly parameterized nonlinear dynamical systems. Americ. American Control Conf. on O'Farrell Street. San Francisco: 31–36.
3. Boulkroune, B., M. Darouach, S. Gille, et al. (2009). A nonlinear observer for an activated sludge wastewater treatment process. American. American Control Conference: 1027–1033.
4. Brun, R., M. Kiihni, W. Gujer et al. (2002). “Practical identifiability of ASM2d parameters – systematic selection and tuning of parameter subsets.” Water Research 36: 4113–4127.
5. Brune, D. (1985). “Optimal control of the complete-mix activated sludge process.” Environmental Technology 6(11): 467–476.
6. Dochain, D., Р. Vanrolleghem. (2001). Dynamical modelling and estimation in wastewater treatment processes. London: IWA Publishing: 342.
7. Henze, М., G. Р. L. Grady, W. Gujer et al. (1987). Task group on mathematical modelling for design and operation of biological wastewater treatment processes. London. Activated sludge model no. 1. Scientific and Technical Report 1, IAWPRC: 243.
8. Ilenze, M., W. Gujer, T. Mino et al. (2000). Task group on mathematical modelling for design and operation of biological wastewater treatment. London. Activated sludge models ASM1, ASM2, ASM2d and ASM3. Scientific and Technical Report 9, IWA Publishing: 122.
9. Knightes, G. D. (2000). “Peters Statistical analysis of nonlinear parameter estimation for monod biodegradation kinetics using bivariate data.” Biotechnol. Biocng. 69(2): 160–170.
10. Ghai, Q., Q. Ghai. (2008). Modeling, estimation and control of biological wastewater treatment plants. Doctoral Theses at NTNU, Porsgrunn. Telemark University College: 187.
Downloads
Published
Issue
Section
License
Copyright (c) 2016 А. П. Сафоник, І. М. Таргоній
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
All authors agree with the following conditions:
- The authors reserve the right to claim authorship of their work and transfer to the journal the right of first publication of the work under the license agreement (the agreement).
- Authors have a right to conclude independently additional agreement on non-exclusive spreading the work in the form in which it was published by the jpurnal (for example, to place the work in institution repository or to publish as a part of a monograph), providing a link to the first publication of the work in this journal.
- Journal policy allows authors to place the manuscript in the Internet (for example, in the institution repository or on a personal web sites) both before its submission to the editorial board and during its editorial processing, as this ensures the productive scientific discussion and impact positively on the efficiency and dynamics of citation of published work (see The Effect of Open Access).