“…With the increasing practical experience, continuously developed and improved activated sludge-based models have been utilized to quantify and to evaluate the process performance (Makinia and Wells, 1999;Makinia, 2010;Yetilmezsoy, 2010;Yetilmezsoy, 2016). In recent years, various mechanistic models have been introduced for the assessment of a number of activated sludge-based problems such as modeling of activated sludge thickening in secondary clarifiers (Giokas et al, 2002), modeling of the steady-state biofilm activated sludge reactor under substrate limiting conditions (Fouad and Bhargava, 2005a;Fouad and Bhargava, 2005b), modeling of temperature dynamics for activated sludge systems (Makinia et al, 2005), estimation of completely mixed activated sludge reactor volume (Yetilmezsoy, 2010), prediction of the reduction of biosolids production by ozonation of the return activated sludge (Isazadeh et al, 2014), and prediction of the waste sludge volumetric flow rate (Yetilmezsoy, 2016). Although many other studies (Nuhoglu et al, 2005;Mulas, 2006;Pamukoglu and Kargi, 2007;Szilveszter et al, 2010;Bagheri et al, 2015;Liu and Wang, 2015) have focused on different modeling methodologies in the operation of activated sludge-based treatment plants, however, to date, there are no sound papers in literature regarding the development of explicit mathematical formulations that can be directly used for the prediction of the present aeration-related parameters in the steady-state completely mixed activated sludge process without writing a set of theoretical statements.To the best of the author's knowledge, this work is the first study specifically aimed at investigating new and practical expressions for the direct estimation of aeration-related parameters as a function of the most common biological, hydraulic, and physical design variables used in the design.…”