Sabine Marie P.,University of Innsbruck |
Sabine Marie P.,AlpS GmbH |
Pumpel T.,University of Innsbruck |
Markt R.,University of Innsbruck |
And 4 more authors.
Water Research | Year: 2015
Six methodologically different approaches were evaluated and compared regarding their suitability to quantify and characterise granular anammox biomass. The investigated techniques were gravimetric analysis (GA), activity measurements (AM), Coulter counter analysis (CC), quantitative PCR (qPCR), heme protein quantification (HQ) and the novel image analysis technique Particle Tracking (PT). The focus was set on the development of fast, economic and user-friendly approaches for potential implementation in regular wastewater treatment plant (WWTP) monitoring. To test the effectiveness of each technique, two sample matrices were chosen at the WWTP Strass (Austria): i) sludge liquor of the DEMON® tank, treating ammonium-rich reject water of anaerobic digestion via the deammonification process and rich in anammox biomass (SL), and ii) the mainstream biological stage, that has been enriched with anammox biomass for more than two years (B). In both of these plants hydro-cyclones are installed for density-fractioning of the sludge into a low- and a high-density fraction, thus leading to a characteristic anammox distribution in the investigated sample set. All investigated methods could statistically discriminate the SL samples. Heme quantification and qPCR were also able to correctly classify the B-samples and both methods showed a Pearson's correlation coefficient of 0.81. An asset of the PT and CC method is the additional qualitative characterization of granule size distribution that can help to better understand and optimise general process operation (cyclone operation duration and construction characteristics). In combination these two methods were able to elucidate the relationship of gross granule volume and actual biomass, excluding the dead volume of inner cavities and exopolymers. We found a linear sphere-equivalent-radius correction factor (3.96±0.15) for investigated anammox granules, that can be used for the fast and reliable PT technique to avoid biomass overestimation. We also recommend routine HQ and PT analysis as ideal monitoring strategy for anammox abundance in wastewater facilities with the HQ technique entailing the further advantage of being also suited for non-granular anammox biomass. © 2014 Elsevier Ltd. Source
Wett B.,ARAconsult |
Omari A.,AECOM Technology Corporation |
Podmirseg S.M.,University of Innsbruck |
Podmirseg S.M.,AlpS GmbH |
And 10 more authors.
Water Science and Technology | Year: 2013
A three-pronged coordinated research effort was undertaken by cooperating utilities at three different experimental scales investigating bioaugmentation, enrichment and performance of anammox organisms in mainstream treatment. Two major technological components were applied: density-based sludge wasting by a selective cyclone to retain anammox granules and intermittent aeration to repress nitrite oxidizers. This paper evaluates process conditions and operation modes to direct more nitrogen to the resource-saving metabolic route of deammonification. Source
Hauduc H.,National Polytechnic Institute of Toulouse |
Hauduc H.,French National Institute for Agricultural Research |
Hauduc H.,French National Center for Scientific Research |
Takacs I.,Dynamita |
And 7 more authors.
Water Research | Year: 2015
A dynamic physico-chemical model for chemical phosphorus removal in wastewater is presented as a tool to optimize chemical dosing simultaneously while ensuring compliant effluent phosphorus concentration. This new model predicts the kinetic and stoichiometric variable processes of precipitation of hydrous ferric oxides (HFO), phosphates adsorption and co-precipitation. It is combined with chemical equilibrium and physical precipitation reactions in order to model observed bulk dynamics in terms of pH. The model is calibrated and validated based on previous studies and experimental data from Smith etal. (2008) and Szabo etal. (2008) as a first step for full-plant implementation. The simulation results show that the structure of the model describes adequately the mechanisms of adsorption and co-precipitation of phosphate species onto HFO and that the model is robust under various experimental conditions. © 2015 Elsevier Ltd. Source