EGU23-12147, updated on 26 Feb 2023
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Upscaling bacterial overland transport – a multi-parametric approach

Julia Derx1,8, Rita Linke2,8, Regina Sommer3,8, Peter Strauss4, Alba Hykollari5, Alexander Faltejsek6, Jack Schijven9, Alfred Paul Blaschke1,8, Alexander Kirschner3,7,8, and Andreas Farnleitner2,7,8
Julia Derx et al.
  • 1TU Wien, Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria
  • 2TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Vienna, Austria
  • 3Medical University of Vienna, Institute for Hygiene and Applied Immunology, Vienna, Austria
  • 4Institute of Land and Water Management Research, Federal Agency for Water Management, Petzenkirchen, Austria
  • 5University of Veterinary Medicine, Research Institute for Wildlife Ecology, Vienna, Austria
  • 6Vienna Municipal Department 49, Forest administration Lobau, Austria
  • 7Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Department of Pharmacology, Physiology, and Microbiology, Krems an der Donau, Austria
  • 8Interuniversity Cooperation Centre Water & Health (
  • 9Utrecht University, Faculty of Geosciences, Department of Earth Sciences, Utrecht, the Netherlands

Water contaminated with human and animal enteric pathogens puts public health at serious risk. All countries and regions of the world require highly robust and effective water management and treatment systems to guarantee safe water and protect public health. To this end, we need accurate predictions of the origin of pathogens , how they move through the environment and where they end up.

This study is part of a four-year project and aims to develop new bacterial overland transport - BOT models to provide answers to the above questions. The project takes a holistic, quantitative approach to transfer BOT model parameters onto large scales. Small-scale precipitation experiments are conducted in the laboratory and larger-scale experiments are conducted using a rainfall simulation under real environmental conditions. The state-of-the-art combination of quantitative, microbiological, and molecular methods and parameters will provide the scientific basis for more accurate predictions of BOT, which eventually may be extended to viruses and protozoa in the future.

How to cite: Derx, J., Linke, R., Sommer, R., Strauss, P., Hykollari, A., Faltejsek, A., Schijven, J., Blaschke, A. P., Kirschner, A., and Farnleitner, A.: Upscaling bacterial overland transport – a multi-parametric approach, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-12147,, 2023.