o:3241 Probabilistic fecal pollution source profiling and microbial source tracking for an urban river catchment en We developed an innovative approach to estimate the occurrence and extent of fecal pollution sources for urban river catchments. The methodology consists of 1) catchment surveys complemented by literature data where needed for probabilistic estimates of daily produced fecal indicator (FIBs, E. coli, enterococci) and zoonotic reference pathogen numbers (Campylobacter, Cryptosporidium and Giardia) excreted by human and animal sources in a river catchment, 2) generating a hypothesis about the dominant sources of fecal pollution and selecting a source targeted monitoring design, and 3) verifying the results by comparing measured concentrations of the informed choice of parameters (i.e. chemical tracers, C. perfringensspores, and host-associated genetic microbial source tracking (MST) markers) in the river, and by multi-parametric correlation analysis. We tested the approach at a study area in Vienna, Austria. The daily produced microbial particle numbers according to the probabilistic estimates indicated that, for the dry weather scenario, the discharge of treated wastewater (WWTP) was the primary contributor to fecal pollution. For the wet weather scenario, 80-99 % of the daily produced FIBs and pathogens resulted from combined sewer overflows (CSOs) according to the probabilistic estimates. When testing our hypothesis in the river, the measured concentrations of the human genetic fecal marker were log10 4 higher than for selected animal genetic fecal markers. Our analyses showed for the first-time statistical relationships between C. perfringens spores (used as conservative microbial tracer for communal sewage) and a human genetic fecal marker (i.e. HF183/BacR287) with the reference pathogen Giardia in river water (Spearman rank correlation: 0.78-0.83, p < 0.05. The developed approach facilitates urban water safety management and provides a robust basis for microbial fate and transport models and microbial infection risk assessment. Animals; Humans; Rivers; Water Pollution Analysis; Water Microbiology; Cryptosporidiosis; Escherichia coli; Environmental Monitoring Methods; Cryptosporidium; Feceschemistry; Giardia; Water Analysis 1552099 10.1016/j.scitotenv.2022.159533 2024-07-15T08:20:14.431Z 44 yes 46 Julia Derx Vienna University of Technology H. Seda Kılıç Vienna University of Technology person Rita Linke Vienna University of Technology person Sílvia Cervero-Aragó Medical University of Vienna person Christina Frick Vienna City Administration person Jack Schijven Utrecht University person Alexander K. T. Kirschner Medical University of Vienna / Karl Landsteiner University of Health Sciences person Gerhard Lindner Vienna University of Technology person Julia Walochnik Medical University of Vienna person Gabrielle Stalder University of Veterinary Medicine Vienna person 0000-0002-8901-1181 Regina Sommer Medical University of Vienna person Ernis Saracevic Vienna University of Technology person Matthias Zessner Vienna University of Technology person Alfred P. Blaschke Vienna University of Technology person Andreas H. Farnleitner Vienna University of Technology / Karl Landsteiner University of Health Sciences person application/pdf 1478759 https://phaidra.vetmeduni.ac.at/o:3241 no yes 16 70 1552253 Science of the Total Environment 13 857 2 Elsevier 2022