The role of microbial ecology in the functioning of slow sand filters for drinking water production

Open Access
Authors
Supervisors
Cosupervisors
  • I.J.T. Dinkla
Award date 13-02-2026
ISBN
  • 9789465341590
Number of pages 319
Organisations
  • Faculty of Science (FNWI) - Institute for Biodiversity and Ecosystem Dynamics (IBED)
Abstract
Safe drinking water is essential for public health, and biofiltration offers a natural, sustainable approach to its production. However, the biological mechanisms underpinning indoor slow sand filtration (SSF), often the final treatment stage, are not fully understood. This thesis investigates the microbial ecology of these filters, focusing specifically on the "Schmutzdecke" (the biologically active surface layer) to enhance understanding of SSF performance.
Using full-scale and laboratory experiments, the research compared total microbial presence (DNA) with metabolically active populations (RNA). The findings highlighted a significant difference: while DNA analysis identified many members, RNA profiling narrowed this down to the specific active groups driving bioactivities. This confirms that monitoring active communities provides deeper insight than presence alone. Additionally, the study revealed that influent water quality affects the Schmutzdecke microbial community, determining whether the SSF acts as a simple polisher or an active modifier.
The research showed that a filter’s age alone does not reliably predict its maturity. Instead, biochemical markers, particularly the protein-to-carbohydrate ratio, emerged as a potentially accurate predictor of removal efficiency and stability. Further experiments demonstrated that sand grain size and type influence initial Schmutzdecke formation, while inoculation with mature Schmutzdecke may accelerate ripening. Modelling of Escherichia coli removal indicated that in indoor SSFs, pathogens are removed primarily through physical attachment, enhanced by Schmutzdecke activity, rather than by direct biological predation.
In conclusion, this thesis supports a shift towards activity-based monitoring. By integrating biochemical and microbial analyses with multi-scale experiments, it offers new strategies for performance prediction and design optimisation, reinforcing SSF as a resilient technology for modern drinking water treatment.
Document type PhD thesis
Language English
Downloads
Thesis (complete) (Embargo up to 2027-02-13)
Chapter 4: Pretreatment and stratification shape microbial community assembly in slow sand filters for drinking water production (Embargo up to 2027-02-13)
Chapter 7: Schmutzdecke maturation and layer contributions to removal performance in slow sand filters for drinking water production (Embargo up to 2027-02-13)
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