The anaerobic ammonium oxidation (anammox) process has become popular as energy saving, and cost-effective biological nitrogen removal because it shortens the ammonia removal cycle, and directly converts ammonium (NH4+) to nitrogen gas using nitrite (NO2−) as an electron acceptor. During recent years, mathematical models explaining interactions between autotrophic and heterotrophic microorganisms including ammonia-oxidizing bacteria (AOB), nitrite-oxidizing bacteria (NOB), anammox bacteria and denitrifiers proved to be substantial for cost reduction, optimization of the system performance and operating conditions. In this work, experimental and mathematical modeling approaches were combined to investigate mechanisms influencing system performance and microbial consortia dynamics in granular and biofilm reactors.
In the first chapter, the 10 years performance of biological treatment for high ammonium removal from a full-scale landfill leachate has been showed. The plant was upgraded combining the activated sludge process followed by granular activated carbon (GAC) biofilm reactor. Based on a long-term analysis, the average total nitrogen removal efficiency of 94 % was achieved for wastewaters with a C: N ratio varying from 1 to 5 kgCOD kgN−1. But without the presence of activated carbon reactor, the average of biological removal efficiency for total nitrogen was only 82 % ± 6 % for the activated sludge stage. It means that up to 20 % of the nitrogen in the influent can only be eliminated by microorganisms attached to GAC particles in the form of biofilm. After upgrades of the plant, the energy efficiency showed a reduction in the specific energy demand from 1.6 to less than 0.2 kWh m−3. Methanol consumption and sludge production was reduced by 91 % and 96 %, respectively. Fluorescent in situ Hybridization (FISH) was used for microbial diversity analysis on floccular and granular sludge samples. Anammox bacteria and nitrifiers were detected and Candidatus Scalindua was found in two forms of flocs and biofilms. Due to stochastic risk assessment based, the treatment criteria were achieved and the combination of GAC biofilm process and activated sludge can be a sought approach to better enrich anammox biomass for full-scale treatment applications to reduce operating costs and promote nutrient removal stability and efficiency.
Second, a mathematical model is proposed and validated for biological nitrogen removal in a granular system to describe independent short-term batch processes under anoxic conditions. The activated sludge model consists of anammox and heterotrophic bacteria using a novel stoichiometric matrix. Identifiability of sensitive biokinetic parameters of the model was
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assessed with regards to observed concentrations of ammonium-, nitrite-, and nitrate-nitrogen. The Chi-squared function was used for the error estimation and the R-squared index (R2) was used for the regression analysis. The results imply that the model can elucidate the interactions of nitrogen converting bacteria for various feeding characteristics. The calibration results showed satisfactory R2 equal to 0.95 and 0.97 for NH4-N and NO2-N respectively. For validation, model simulations were performed under three varying scenarios and R2 was more than 0.9 so that all forecasted values lied within the 95 % confidence interval. In addition, the estimated physiologic characterization of two dominant anammox species was discussed upon calibration and validation of the model. The maximum specific bacterial growth rates (μmax) for Candidatus Brocadia anammoxidans and Ca. Scalindua sp. were estimated at 0.0025 h−1 and 0.0048 h−1 respectively. Decay rate of Ca. Brocadia anammoxidans was estimated at 0.0003 h−1 which is 15 % higher than decay rate of species belonging to Ca. Scalindua.
In the next step, a comprehensive model explaining the roles and functions of soluble microbial products (SMP) and extracellular polymeric substance (EPS) was developed. Therefore, the model for a granular reactor for the leachate treatment discussed in the first chapter was validated by long-term measured data to investigate the mechanisms and drivers influencing biological nitrogen removal and microbial consortia dynamics. The proposed model, based on Activated Sludge Model (ASM1), included anammox, nitrifying and heterotrophic denitrifying bacteria which can attach and grow on GAC particles. Two kinetic descriptions for the model were proposed: with and without SMP and EPS. The model accuracy was checked using recorded total inorganic nitrogen concentrations in the effluent and estimated relative abundance of active bacteria using quantitative FISH (qFISH). The models with and without EPS successfully simulated the relative abundance of the biomass in the biofilm solid matrix, with a high agreement with results obtained from qFISH. Nevertheless, the model was improved after the addition of EPS and SMP kinetics and the real-time production of EPS and SMP can be predicted as well. The models could predict the dynamics of nitrogen transformation well, and a linear relationship between predicted and measured total nitrogen was achieved (R2 = 0.66 for the model with EPS and R2 = 0.61 for the model without EPS). Averagely, the models predicted the relative abundance of 52 % for anammox, 5.2 % for AOB, 2.6 % for NOB and 22 % for heterotrophs. For the model with EPS, the EPS content contributed between 4 to 10 % of total biomass volume. Results suggested that the model with EPS fits better for active relative abundance (the standard error
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was less than 10 % of observation). The model with EPS and SMP also confirms that the growth and existence of heterotrophs in anammox biofilm systems slightly increases due to including the kinetics of SMP production in the model. During the one-year simulation period, the fractions of autotrophs and EPS in the biomass were almost stable but the fraction of heterotrophs decreased which is correlated with the reduction in nitrogen surface loading (NSL) on the biofilm.
In the last chapter, feasibility of simultaneous nitrification, anammox and denitrification (SNAD) was tested using an integrated fixed-film activated sludge-sequencing batch reactor IFAS-SBR and another SBR mixing activated sludge with granules. During operation of both plants, a regular reduction of temperature was applied, and various aeration regimes were evaluated. IFAS-SBR reached to a stable performance after a short startup period of 25 days and it showed a higher nitrogen removal rate (NRR) compared to another reactor. Highest NRE was able to reach up to 99.9 % based on NH4+-N concentration and 91.2 % based on total inorganic nitrogen (TIN) concentration. Whereas for NRR, the highest values are 0.14 kgN m−3 d−1 based on NH4+-N concentration and 0.15 kgN m−3 d−1 based on TIN concentration. The optimized range for daily average dissolved oxygen (DO) concentration was determined to be between 0.2 – 0.7 mg L-1 and maximum real-time DO at the end of each aeration cycle was set between 1.0 to 1.2 mg L-1. Reduction of temperature caused an expected decline of NRE, although a good adaptation was achieved for temperature above 15 °C. For example, after 75 days of the operation, the NRE of 71.1 % was achieved despite the temperature was reduced to 20oC. For microbial identification, 16S ribosomal RNA (16S rRNA) gene sequence analysis and qFISH were applied and AOB was major bacteria group in flocs and anammox bacteria and AOB were found in biofilms attached to the carriers.