Abstract

Heavy fluctuations in wastewater composition, such as those typical of tourist areas, can lead to a deteri-orationintreatmentplantperformanceifnoactionistakeninadvance.Mathematicalmodelling,appliedto treatment plant performance prediction, can provide valuable information to address the stress issue.The present study shows that the evolutionary polynomial regression methodology (EPR) is able to pre-dicttheperformancesofanattachedgranularbiomasssystemsothatitispossibletomakethenecessaryoperatingchangesinadvance,avoidingdeteriorationinthequalityoftheeffluentdischarged.ThepresentpapershowstheresultsofEPRapplicationtogrossparametersofagranularattachedbiomassreactor.Foreach parameter, a model capable of predicting the effluent value was assessed, based on the knowledgeoftheinfluentcharacteristics.Coefficientsofdeterminationvalues(CoD)obtainedduringthemodelsval-idation phase, can be said to be more than satisfactory, varying between 84.2% and 94.6%. Moreover, theapplied tests showed typical behaviours commonly found when observed and predicted values are quitesimilar. This paper reports the first application attempt for modelling this kind of emerging treatmentsystem and gross parameters.

Autore Pugliese

• Di Iaconi Claudio , Barca Emanuele , Mascolo Giuseppe

Tutti gli autori

• Barca E.; Del Moro G.; Mascolo G.;Di Iaconi C.

Titolo volume/Rivista

Biochemical engineering journal

Anno di pubblicazione

2014

ISSN

1369-703X

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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