Literature DB >> 20137803

SBBGR technology for minimising excess sludge production in biological processes.

Claudio Di Iaconi1, Marco De Sanctis, Simona Rossetti, Roberto Ramadori.   

Abstract

This paper reports the results of an investigation aimed at evaluating the performance of an innovative technology (SBBGR system - Sequencing Batch Biofilter Granular Reactor), characterised by a low sludge production, for treating municipal wastewater at demonstrative scale. The results have shown that even at the maximum investigated organic load (i.e., 2.5 kg COD/m(3) d), the plant removed 80% of COD, total suspended solids and nitrogen content with relative residual concentrations lower than the Italian limits for discharge into soil. The process was characterised by a very low sludge production (i.e., 0.12-0.14 kg TSS/kg COD(removed)) ascribable to the high sludge age in the system (thetac >120 d). Molecular in situ detection methods and microscopy staining procedures were employed in combination with the traditional measurements (oxygen uptake rate and total protein content) to evaluate both the microbial activity and composition, and the structure of the biomass. A stable presence of active bacterial populations (mainly Proteobacteria) was found within compact and dense aggregates. Copyright 2009 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20137803     DOI: 10.1016/j.watres.2009.12.007

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  1 in total

1.  Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure management case.

Authors:  G Del Moro; E Barca; M De Sanctis; G Mascolo; C Di Iaconi
Journal:  Environ Sci Pollut Res Int       Date:  2015-11-17       Impact factor: 4.223

  1 in total

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