<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The paper described how the results of measurements of inflow wastewater temperature in the chamber, a degree of external and internal recirculation in the biological-mechanical wastewater treatment plant (WWTP) in Cedzyna near Kielce, Poland, were used to make predictions of settleability of activated sludge. Three methods, namely: multivariate adaptive regression splines (MARS), random forests (RF) and modified random forests (RF + SOM) were employed to compute activated sludge settleability. The results of analysis indicate that modified random forests demonstrate the best predictive abilities.</p></abstract>

The paper described how the results of measurements of inflow wastewater temperature in the chamber, a degree of external and internal recirculation in the biological-mechanical wastewater treatment plant (WWTP) in Cedzyna near Kielce, Poland, were used to make predictions of settleability of activated sludge. Three methods, namely: multivariate adaptive regression splines (MARS), random forests (RF) and modified random forests (RF + SOM) were employed to compute activated sludge settleability. The results of analysis indicate that modified random forests demonstrate the best predictive abilities.

Application of Selected Methods of Black Box for Modelling the Settleability Process in Wastewater Treatment Plant

Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce,

Department of Process Engineering, University of Opole, ul. R. Dmowskiego 7/9, 45-365 Opole,

Ecological Chemistry and Engineering S

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The paper described how the results of measurements of inflow wastewater temperature in the chamber, a degree of external and internal recirculation in the...

Application of Selected Methods of Black Box for Modelling the Settleability Process in Wastewater Treatment Plant

Publié en ligne: 12 avr. 2017

Pages: 119 - 127

DOI: https://doi.org/10.1515/eces-2017-0009

Mots clés
multivariate adaptive regression splines, random forests, modified random forests, sludge settleability

© by Andrzej Gawdzik

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Application of Selected Methods of Black Box for Modelling the Settleability Process in Wastewater Treatment Plant

Publié en ligne: 12 avr. 2017

Pages: 119 - 127

DOI: https://doi.org/10.1515/eces-2017-0009

Mots clésmultivariate adaptive regression splines, random forests, modified random forests, sludge settleability

© by Andrzej Gawdzik

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
multivariate adaptive regression splines, random forests, modified random forests, sludge settleability