@misc{Bogdan_Lucyna_Modelowanie_2001,
 author={Bogdan, Lucyna and Studziński, Jan and Łomotowski, Janusz and Szetela, Ryszard},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2001},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={Comparison of few methodologies of building models useful in wastewater treatment plant maintenance is performed. One is mathematical modelling of the activated sludge process. It consists of modellling of the basie vessels: primary clarifiers, aerator basins and secondary clarifiers, linked and partially looped, as well as equations describing the physical and biochemical transformations going on in the vessels: sedimentation in the clarifiers and biological processes changing the influent wastewater chemical composition. The models' parameters were estimated in two steps. In the first step the active volumes of the vessels were estimated from the experiment performed in the plant. In the second step, parameters known from the literature were used as the initial guess and then calibrated to fit the observations taken during normal plant operation. Concering other methodologies, results from the black box modelling of the performance of the plant with the neural network are given. The neural network and the time series models are also applied for prediction of the influent wastewater.},
 title={Modelowanie matematyczne, symulacja komputerowa i identyfikacja miejskiej oczyszczalni ścieków * Mathematical and neural network modelling of a wastewater treatment plant},
 type={Text},
 URL={http://www.rcin.org.pl/Content/208597/PDF/RB-2001-03-PMK-03.pdf},
}