Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Managing the touristic pressure: Performances prediction of an advanced biological system by means of regression trees |
| 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 for ammonia 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 stress conditions 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 the touristic stress issue. |
| Source | Biochemical engineering journal 111, pp. 43–53 |
| Keywords | Fixed-bed bioreactors Modelling Waste-water treatment Control Regression trees Touristic pressure |
| Journal | Biochemical engineering journal |
| Editor | Elsevier,, New York, NY, Paesi Bassi |
| Year | 2016 |
| Type | Articolo in rivista |
| DOI | 10.1016/j.bej.2016.03.005 |
| Authors | Barca E.; Moro G.D.; Sanctis M.D.; Mascolo G.; Passarella G.; Iaconi C.D. |
| Text | 371521 2016 10.1016/j.bej.2016.03.005 Scopus 2 s2.0 84961233716 Fixed bed bioreactors Modelling Waste water treatment Control Regression trees Touristic pressure Managing the touristic pressure Performances prediction of an advanced biological system by means of regression trees Barca E.; Moro G.D.; Sanctis M.D.; Mascolo G.; Passarella G.; Iaconi C.D. Istituto di Ricerca Sulle Acque, Consiglio Nazionale delle Ricerche, Viale F. De Blasio 5, Bari, 70132, , Italy 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 for ammonia 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 stress conditions 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 the touristic stress issue. 111 Published version http //www.scopus.com/record/display.url eid=2 s2.0 84961233716 origin=inward Articolo in rivista Elsevier, 1369 703X Biochemical engineering journal Biochemical engineering journal Biochem. eng. j. Biochemical engineering journal. BEJ giuseppe.passarella PASSARELLA GIUSEPPE claudio.diiaconi DI IACONI CLAUDIO emanuele.barca BARCA EMANUELE marco.desanctis DE SANCTIS MARCO giuseppe.mascolo MASCOLO GIUSEPPE |