Naslov
NON-STATIONARY PARAMETER SENSITIVITY ANALYSIS OF A MODIFIED ACTIVATED SLUDGE MODEL No. 3

Autori
Sokač, Tea ; Benković Maja ; Valinger, Davor ; Gajdoš Kljusurić, Jasenka ; Jurina, Tamara ; Jurinjak Tušek, Ana

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts WATER FOR ALL 2022 / Habuda-Stanić, Mirna ; Lauš, Ivana ; Šuvak-Pirić, Ivana - Osijek : Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2022, 84-84

ISBN
978-953-7005-85-6

Skup
9. međunarodni znanstveno-stručni skup: Voda za sve = 9th International Scientific and Professional Conference: Water for all

Mjesto i datum
Osijek, Hrvatska, 19.05.2022. - 20.05.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
wastewater treatment ; Fourier Amplitude Sensitivity Test (FAST) ; activated sludge model (ASM3)

Sažetak
The aim of this study was to perform global parametric sensitivity analysis of the modified Activated Sludge Model No. 3 (mASM3) using Fourier Amplitude Sensitivity Test (FAST). The analysed ASM3 model (Iacopozzi et al., 2007) is a modification of the existing Activated Sludge Model No. 3. Enhancement of the basic ASM3 model involves splitting the nitrification and denitrification process in a two- step process and describing denitrification of both, nitrate and nitrite. In the nitrification process, ammonium and dissolved oxygen act as limiting factors. This model includes 14 mass balances, 16 reaction rates and 40 stoichiometric and kinetic parameters. The FAST method ensures sensitivity to a large and simultaneous change of the complete set of the model parameters. The principle of this method includes transformation of multidimensional space of model parameters to one-dimension space of a single parameter. Since reduction of nitrate and nitrite to dinitrogen involves complex enzymatic transformations, the application of FAST will ensure non-stationary parametric sensitivities of the most important model variables ; nitrite (SNO2) and nitrate (SNO3). Results of the FAST analysis have application in identification and optimization of key parameters in enzymatic regulation to improve the model.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija

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