Within the European project TECHNEAU (www.techneau.org) the Berlin Center of Competence for Water (KWB) is investigating bank filtration (BF) and adjusted post-treatment as a managed aquifer recharge (MAR) technique to provide sustainable and safe drinking water supply to developing and newly industrialised countries. One of the tasks within the project is the development of a Decision Support System (DSS) to assess the feasibility of BF systems under varying boundary conditions such as: (i) quality of surface and ambient groundwater, (ii) local hydrological and hydrogeological properties (e.g. clogging layer) and (iii) well field design (distance to bank) and operation (pumping rates). Since the successful, cost-effective implementation of BF systems requires the optimization of multiple objectives such as (i) optimizing the BF share in order to maintain a predefined raw water quality, (ii) maintaining a predefined minimum travel time between bank and production well and (iii) achieving cost-efficiency of different well field design and operation schemes, all these objectives need to be addressed within the DSS.

Work package WP 5.2 “Combination of Managed Aquifer Recharge (MAR) and adjusted conventional treatment processes for an Integrated Water Resources Management“ within the European Project TECHNEAU (“Technology enabled universal access to safe water”) investigates bank filtration (BF) + post-treatment as a MAR technique to provide sustainable and safe drinking water supply to developing and newly industrialised countries. One of the tasks of WP 5.2 is to develop a Decision Support System (DSS) as a first qualitative tool to assess the feasibility of bank filtration for drinking water supply in developing countries. The Bank Filtration Simulator (BFS), which is the subject of this report, is a sub-model used within the DSS to compute steady-state solutions for a two dimensional groundwater flow field in the horizontal plane for BF settings. Input parameters are required for aquifer, bank and well characteristics to calculate the BF share analytically. In addition the minimum travel time between bank and well is computed numerically. The sensitivity analysis yielded that the analytical calculated BF share is the most reliable output parameter, since its value is grid-independent. The most sensitive input parameters for the BF share calculation are the hydraulic conductivity of the aquifer and the clogging parameter, which both are the most uncertain ones to estimate. The accuracy of the numerically computed minimum traveltime of the BFS was cross-checked against a MODFLOW model, which produced only a very small discrepancy below 5%. Due to the lacking time-dependency of the BFS model its application is only appropriate on a management horizon for which the system’s boundary conditions (e.g. baseflow, clogging parameter and pumping rates) do not change significantly over time. In a nutshell it is therefore highly recommended to use the BFS only as a qualitative assessment tool in a first planning step to evaluate the feasibility of BF systems. Nevertheless the qualitative outputs give a valuable physically based insight of the system’s behaviour for distinct operational scenarios (e.g. minimal/maximum pumping rates) in order to add transparency and reproducibility to the decision making process.

Im Oktober 2006 wurde das NASRI (Natural and Artificial Systems for Recharge and Infiltration) Projekt, ein Vorhaben der Kompetenzzentrum Wasser Berlin gGmbH, endgültig mit einer öffentlichen Präsentation der wichtigsten Ergebnisse abgeschlossen. In fast vier Jahren interdisziplinäre Forschungstätigkeit untersuchten mehr als 40 Wissenschaftler aus mehreren Berliner Universitäten und dem Umweltbundesland, gemeinsam mit den Berliner Wasserbetrieben die Prozesse während der Uferfiltration und künstlichen Grundwasseranreicherung. Es war ein Hauptziel des Projektes ein umfassendes Prozessverständnis zu entwickeln, um so die nachhaltige Nutzung der Uferfiltration und künstlichen Grundwasseranreicherung unter Berücksichtigung zukünftiger Anforderungen und Bedrohungen langfristig sicherzustellen.

Microcystins (MCYST) are a group of toxic substances produced by cyanobacteria (‘blue-green-algae’). In case of cyanobacterial blooms microcystin concentrations in surface waters may reach values far above the value proposed as provisional guideline for drinking water by the WHO of 1 µg/L for MCYST-LR. For drinking water production via underground passage it is therefore necessary to ensure removal to a large extent. For this reason experiments with extracellular microcystins were conducted in the laboratory as well as in a natural setting on the UBA’s (German Federal Environmental Agency) experimental field for simulation of underground passage. Laboratory batch experiments showed that adsorption of microcystins can be neglected in sandy material (kd < 1 cm³/g). Batch and column experiments identified biodegradation as the predominant elimination process in these sediments. The degradation rates derived from laboratory column experiments as well as semi-technical scale enclosure experiments varied between 0.2 d–1 and 18 d–1. In the worst case this means a half life of 2.8 days, so that under aerobic conditions contact times of several days should be sufficient to eliminate MCYST to an extent safe for use as drinking water.

A modelling concept is presented that enables a quantitative evaluation of transport and natural attenuation processes during bank filtration. The aim is to identify ranges of degradation rates for which bank filtration is effective or ineffective. Such modelling should accompany experimental work, as otherwise the meaning of determined degradation rates for a field situation remains uncertain. The presented concept is a combination of analytical and numerical methods, solving differential equations directly for the steady state. It is implemented using FEMLABs code and demonstrates a typical idealized situation with a single well near a straight bank boundary. The method can be applied to confined, to unconfined and to partially confined/unconfined aquifers and may be extended for applications in more complex situations, including a clogging layer, galleries of pumping and recharge wells, etc.

In several slow-sand-filter experiments the behaviour of phages during the subsurface passage was measured and modelled. Here the focus is on the effect of the velocity. The observed data show a strong effect of decreasing filter efficiency with increasing velocity. Using a modelling approach, which is based on the transport differential equation, the theoretical influence of velocity on filter efficiency is examined. Finally an extrapolation of the results to large scale filtration units or bank filtration processes is attempted.

In several slow-sand-filter experiments the behaviour of phages during the subsurface passage was measured and modelled. Here the focus is on the effect of the velocity. The observed data show a strong effect of decreasing filter efficiency with increasing velocity. Using a modelling approach, which is based on the transport differential equation, the theoretical influence of velocity on filter efficiency is examined. Finally an extrapolation of the results to large scale filtration units or bank filtration processes is attempted.

Within the scope of the interdisciplinary NASRI research project (Natural and Artificial Systems for Recharge and Infiltration) dealing with river bank filtration processes at Berlin water works, a semi-technical column experiment is ongoing since January 2003 to simulate river bank filtration. Here a 30 m long ensemble of 6 soil columns is operated by surface water sampled from Lake Tegel (Berlin, Germany). In April 2004, oxic conditions in the column ensemble were forced to change in anoxic by gassing the flushing solution supply with nitrogen gas. The objective of reactive transport modelling was to (i) identify the main biogeochemical processes and the governing redox conditions within the soil column system during flushing as a conceptual model for river bank filtration and to (ii) verify the observed hydrochemistry of the pore water.

Successful predictions of the fate and transport of solutes during bank filtration and artificial groundwater recharge depends on the availability of accurate transport parameters. We expand the CXTFIT code (Toride et al., 1995) in order to improve the handling by pre- and post processing modules under Microsoft EXCEL. Inverse modelling results of column experiments with tracers, pharmaceutical residuals and algae toxins demonstrate the applicability of the advanced simulation tool.