Abstract

A regression tree model has been used to make predictions of six gross parameters (COD, CODsol, N-NH4 +, TN, Ptot and TSS) of an innovative SBBGR reactor. R2 values ranging from 0.94 to 0.97 were found forammonia and total phosphorus, respectively. This application showed its usefulness as a decision support system for wastewater treatment plants in tourist areas which typically operate under high stressconditions due to the sharp fluctuations of wastewater flow and composition. A forecast of the bioreactor's performance would help the plant manager to put in place the required practices and procedures.The regression tree model could be part of the automation and control system of the SBBGR plant, allowing the change of operating conditions to be carried out automatically and in an effective way to face thetouristic stress issue.

Autore Pugliese

• Di Iaconi Claudio , Barca Emanuele , Mascolo Giuseppe , Passarella Giuseppe , De Sanctis Marco

Tutti gli autori

• Barca E.; Moro G.D.; Sanctis M.D.; Mascolo G.; Passarella G.; Iaconi C.D.

Titolo volume/Rivista

Biochemical engineering journal

Anno di pubblicazione

2016

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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