Title:

Prognozowanie dopływu ścieków surowych do oczyszczalni i ładunku zanieczyszczeń w ściekach za pomocą sieci neuronowych i modeli operatorowych * A Data Mining approach to the prediction of substrate load and mixed liquor suspended solid

Subtitle:

Raport Badawczy = Research Report ; RB/50/2016/03

Creator:

Studziński, Jan ; Szeląg, Bartosz

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2016

Description:

3, 48-71 pages ; 21 cm ; Bibliography p. 68-71

Abstract:

This paper presents the methodology of modelling the mixed liquor suspended solid and food-to-mass ratio. The statistical models for the predictions of the wastewater influent (Q), biochemical oxygen demand (BOD5) and mixed liquor suspended solids (MLSS) were developed. Due to the fact that BOD5 determination is difficult to perform, the possibility of predicting this wastewater quality index using the wastewater influent and the COD data was analysed. To determine 11:LSS, the measurements of BOD5, COD, TSS, TN and NH4+, and also of the bioreactor operational parameters (recirculation rate, sludge pH and temperature, and amount of excess sludge removed) were applied. Because of high costs of determining wastewater quality indicators, the possibility of predicting those quantities on the basis of the flow rate recorded in the last measurements was taken in to account. The analyses performed for the paper made it possible to assess the impact of errors of wastewater quality prediction on the results of modelling of the food-to-mass ratio and mixed liquor suspended solids.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2016-50-03

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open