Powerstep wird auf der KA MS in zwei Etappen realisiert. Der erste Part umfasste die Generierung von maximalen Primärschlammmengen durch den Einsatz einer Flockung und anschließenden Filtration im Anschluss an die mechanische Reinigung. Zielstellung war es mit dem energiereichen Primärschlamm durch Faulung und Verstromung den Endenergiebedarf der KA MS decken zu können und durch die Überführung des wesentlichen Schmutzstoffanteils in den produzierten Schlamm die biologische Abwasserbehandlungsstufe, genauer die Belebung, zu entlasten. Die Reinigungsmethode wurde im Labormaßstab getestet und als erfolgreich bewertet. Allerdings konnte innerhalb der Laboruntersuchungen auf der Kläranlage nachgewiesen werden, dass bei dem neuen Verfahren keine Entfernung des Ammoniums realisiert wird. Da Ammonium einer der wesentlichen Parameter zur Bewertung der Reinigungsleistung einer Kläranlage ist und durch die Abwasserverordnung (AbwV) mit einem Ablaufgrenzwert belegt wurde, wird im zweiten Part von Powerstep eine Technik zur energieeffizienten Ammoniumelimination untersucht. Die Bearbeitung dieser Problematik ist Gegenstand der vorliegenden Arbeit. Das Ziel dieser Arbeit ist es, Methoden zur Ammoniumentfernung bei der Abwasserreinigung zu betrachten und tiefgreifend auf die Elimination durch den Einsatz von Wasserlinsen einzugehen. Dabei werden sowohl ökologische, als auch chemische und technische Belange beleuchtet.

UV/Vis spectrophotometers have been used for one decade to monitor water quality in various locations: sewers, rivers, wastewater treatment plants (WWTPs), tap water networks, etc. Resulting equivalent concentrations of interest can be estimated by three ways: i) by manufacturer global calibration; ii) by local calibration based on the provided global calibration and grab sampling; iii) by advanced calibration looking for relations between UV/Vis spectra and corresponding concentrations from grab sampling. However, no study has compared the applied methods so far. This collaborative work presents a comparison between five different methods. A Linear Regression (LR), Support Vector Machine (SVM), EVOlutionary algorithm method (EVO) and Partial Least Squares (PLS) have been applied on various data sets (sewers, rivers, WWTPs under dry, wet and all weather conditions) and for three water quality parameters: TSS, COD total and dissolved. Two criteria (r2 and Root Mean Square Error RMSE) have been calculated - on calibration and verification data subsets - to evaluate accuracy and robustness of the applied methods. Values of criteria have then been statistically analysed for all and separated data sets. Non-consistent outcomes come through this study. According to the Kruskal-Wallis test and RMSEs, PLS and SVM seem to be the best methods. According to uncertainties in laboratory analysis and ranking of methods, LR and EVO appear more robust and sustainable for concentration estimations. Conclusions are mostly independent of water matrices, weather conditions or concentrations investigated.

Deterioration modelling has been developed in the last decades to support operators and municipalities in defining mid-long term asset management strategies with limited availability of sewer condition data (CCTV). Modelling can help validating and showing the viability of current strategies or provide information to justify the relevance of additional investments and expenditures. Several modelling approaches are now available but not commonly used by sewer operators and municipalities to support strategies mainly because of the lack of real scale demonstration of the tangible benefits provided. Indeed, most of these models fail to show that they can adequately forecast future conditions (Ana and Bauwens, 2010; Scheidegger et al., 2011; WERF, 2012).

Deterioration modelling can be a powerful tool to support utilities in planning efficient sewer rehabilitation strategies. However, the benefits of using deterioration models are still to be demonstrated to increase the confidence of utilities toward simulation results. This study aims at assessing the performance of a statistical deterioration model to estimate the current condition and predict the future deterioration of the network. The quality of prediction of the deterioration model GompitZ has been assessed using the extensive dataset of 35,826 inspections of the city of Braunschweig in Germany. The performance of the statistical model has been compared with the performance of a simple model based only on the condition of observed sewers. Results show that the statistical model performs much better than the simple model for simulating the deterioration of the network. The findings highlight the relevance of using modelling tools to simulate sewer deterioration and support strategic asset management.

Redox condition, in particular the amount of oxygen in groundwater used for drinking water supply, is a key factor for the drinking water quality as well as for the production well’s lifecycle. Thus, a process-based and quantitative understanding about the oxygen fluxes in groundwater systems is fundamental in order to predict e.g. the removal capacity of pollutants or in particular the likelihood of iron-related well clogging. Such well ageing is a major thread for well operators and objective in practice and science. The formation of iron oxides responsible for well clogging is mainly known for wells abstracting groundwater from unconsolidated aquifers with a distinct redox zonation. The accumulation of precipitates is primarily taking place at the slots of the well screens, but also affects aquifers, pumps and collector pipes. Several studies already identified interacting hydro-chemical and microbiological processes as major cause for the development of iron oxides in wells. They develop in the presence of dissolved species of iron and oxygen in the water. The co-occurrence of both, the dissolved iron and oxygen, is the result of a mixing of groundwater with different redox states. The abstraction of groundwater by wells is known to promote such mixing processes. Particularly, frequent water table oscillations with high amplitudes in contrast to natural conditions and managed aquifer recharge measures may deliver oxygen to groundwater. But the impact of different well management strategies on the sources and rates of oxygen delivery to aquifers was not studied in detail so far. Within the thesis presented here, oxygen fluxes to groundwater were qualified and quantified based on statistical, modelling, laboratory and field site studies and their impact on well performance was determined for different well operation schemes and different hydrogeological conditions. Processes were exemplarily investigated for the quaternary aquifers of Berlin, which are the exclusive source for the drinking water supply of the German capital. Analysis of design, operation, geological setting, hydrochemical composition and maintenance activities of Berlin’s drinking water wells illustrated the vulnerability of wells for clogging processes and revealed the relevance of detailed investigations on this topic. A general estimation of the two main oxygen delivering processes influencing groundwater aeration, air entrapment and bank filtration, was done by a generic transport model. Simulation of oxygen fluxes with regard to different hydrogeological and operational boundary conditions revealed air entrapment as major source. Oxygen delivery by bank filtration was subsidiary and strongly depending on flow gradients and permeability of the banks. Air entrapment due to oscillating water tables was quantified by aeration tests in column experiments under laboratory conditions. Results pointed at a downward shift of oxygen caused by repeated oscillations as a consequence of oxygen dissolution and advective transport of dissolved oxygen inside the column. A downward propagation of oxygen into the permanently water-saturated zone was not observed for switching intervals shorter than 24 hours. Such repeated short-termed oscillations led to an enrichment of oxygen, but with a constantly decreasing increment per oscillation. Oxygen degradation was not accounted for in simulation and inhibited in laboratory studies. But, in situ monitoring of oxygen at three selected well sites in Berlin provided a real insight into oxygen fluxes and their effects on well ageing processes under field conditions. The monitoring network included multi-level observation wells and vertical strings of oxygen sensors installed in the aquifer and inside the wells. Thus, it was feasible to measure changes in hydraulic conditions and redox dynamics. Oxygen distribution could be observed as a function of depth and recharge source in a high temporal and spatial resolution for the first time. It was possible to detect traces of oxygen in the well-near aquifer and inside the wells, which are sufficient to oxidize high loads of dissolved iron when supplied constantly. All three well sites showed oxygen distribution patterns, which significantly differed from the others. These variations referred not only to the initial distribution, sampled at idle equilibrium, but also to the progression of oxygen saturation during abstraction and recovery phases. Enrichment and downward propagation of oxygen as result of abstracting water could be observed at all well sites, although absolute concentrations varied strongly between the well sites. By this, it was possible to correlate oxygen variations to hydrogeological boundary conditions. Infiltrating oxic surface water via river, lake or artificial pond banks delivers high amounts of oxygen to the groundwater and can cause an enormous widening of the oxic zone towards the abstracting well. As a result, the oxic/anoxic interface moves downward close to the well once water is abstracted. But, clogging of wells abstracting bank filtrate or artificial recharge strongly depends on the residence times of the filtrate, the hydraulic connection between banks and groundwater and seasonal variations. Only under certain conditions a significant enhancement of clogging can be expected. To directly link well operation, oxygen delivery and ochre formation with well performance development, a well model scaled up to realistic proportions was designed, built and operated with natural groundwater. The tank experiment enabled to study distribution patterns of ochre formation with regard to the different structural zones of the well, including aquifer, filter pack and screen slots and its influence on pressure losses and well performance. It could be shown, that groundwater was enriched with oxygen during the tank passage by oscillating water tables and that permeability and specific well yield generally decreased over time. The distribution of ochre deposits in the well tank showed a distinct mineral zonation with high deposition rates of manganese and iron in the filter pack at the top of the well screen. Further, interfaces of aquifer and/or filter pack were strongly affected by iron deposits. Thus, preventing ochre formation is an appropriate measure. The preventive treatment of wells with hydrogen peroxide could be such a measure, but could also be a potential source for oxygen in well and filter pack. By reviewing the latest research activities and operator’s data and by investigating at laboratory and field site scale, the current treatment procedure was evaluated. Investigations revealed a clear improvement potential for the treatment with hydrogen peroxide. Impacts of the treatment were however low, especially if incrustations were already established. Results of column batch studies and field tests did not fully prove the effectiveness of the preventive treatment, but indicated that with higher concentrated solutions and an improved treatment procedure ochre formation can be retarded and rehabilitation potential can be improved. Another approach to prevent ochre formation is the classification of well sites considering their ageing vulnerability and the development of adapted operation schedules. At least such a measure can support a sustainable construction, operation and maintenance of wells. A statistical approach was used to quantify well ageing and to identify factors promoting well performance loss. Most appropriate clogging indicators could be identified and were used to analyse worst and best site conditions with regard to their impact on ochre formation. Accordingly, a well in high distance to the next surface water with a thick groundwater layer above the well screen situated in a confined aquifer with high redox potential gains the lowest ageing potential. Compared to worst site conditions and calculated for the mean life time of a typical Berlin drinking water well, this can account for a difference in well capacity of up to 90%. In addition to that, optimized rehabilitation intervals for the identified well classes based on their ageing potential could be exemplarily determined. Based on the results of this thesis, strategies for an optimized monitoring of well ageing processes and strategies for an adapted well management aiming at the reduction of ochre formation can be developed.

When it comes to well loss and efficiency, the occurrence of wellbore skin layers is one of the strongest influencing factors. Besides difficulties to remove the skin layer that is necessary during the drilling process, it is also not easily possible to determine if a skin layer is present in a well and whether or not it imposes a certain degree of well loss. With this work, three types of skin layers are presented (surface cake, deep-bed filtration, layered cake in the aquifer), that have been observed at dewatering wells excavated in open-pits of the Rhenish lignite mining district in western Germany. Disturbed and undisturbed samples were analyzed for their geochemical and mineralogical composition in order to better understand the formation of the skin layer types and their fate during well operation. Geochemical analysis revealed the skin layer to be mainly composed of quartz (˜ 40 wt-%), kaolinite/illite (˜ 30 wt-%), organic material (5-15 %) and secondary gypsum precipitates (up to 12.5 wt-%). Despite the high quartz contents, the granulometry yields high fractions of clay and silt (75-85 %). However, preferential flow paths, transecting the skin layer are created by micro-cracks and erosion-pathways which will cause a higher hydraulic conductivity than could be expected from the granulometry.