phaidra.vetmeduni.ac.at o:3241 DOI 10.1016/j.scitotenv.2022.159533 Probabilistic fecal pollution source profiling and microbial source tracking for an urban river catchment 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. eng Animals; Humans; Rivers; Water Pollution Analysis; Water Microbiology; Cryptosporidiosis; Escherichia coli; Environmental Monitoring Methods; Cryptosporidium; Feceschemistry; Giardia; Water Analysis 2024-07-15T08:27:14.147Z LOMv1.0 Author BEGIN:VCARD VERSION:3.0 N:Derx;Julia; FN:Julia Derx END:VCARD BEGIN:VCARD VERSION:3.0 N:Farnleitner;Andreas H.; FN:Andreas H. Farnleitner END:VCARD BEGIN:VCARD VERSION:3.0 N:Blaschke;Alfred P.; FN:Alfred P. Blaschke END:VCARD BEGIN:VCARD VERSION:3.0 N:Zessner;Matthias; FN:Matthias Zessner END:VCARD BEGIN:VCARD VERSION:3.0 N:Saracevic;Ernis; FN:Ernis Saracevic END:VCARD BEGIN:VCARD VERSION:3.0 N:Sommer;Regina; FN:Regina Sommer END:VCARD BEGIN:VCARD VERSION:3.0 N:Stalder;Gabrielle; FN:Gabrielle Stalder X-ORCID:https://orcid.org/0000-0002-8901-1181 END:VCARD BEGIN:VCARD VERSION:3.0 N:Walochnik;Julia; FN:Julia Walochnik END:VCARD BEGIN:VCARD VERSION:3.0 N:Lindner;Gerhard; FN:Gerhard Lindner END:VCARD BEGIN:VCARD VERSION:3.0 N:Kirschner;Alexander K. T.; FN:Alexander K. T. Kirschner END:VCARD BEGIN:VCARD VERSION:3.0 N:Schijven;Jack; FN:Jack Schijven END:VCARD BEGIN:VCARD VERSION:3.0 N:Frick;Christina; FN:Christina Frick END:VCARD BEGIN:VCARD VERSION:3.0 N:Cervero-Aragó;Sílvia; FN:Sílvia Cervero-Aragó END:VCARD BEGIN:VCARD VERSION:3.0 N:Kılıç;H. Seda; FN:H. Seda Kılıç END:VCARD BEGIN:VCARD VERSION:3.0 N:Linke;Rita; FN:Rita Linke END:VCARD https://w3id.org/kim/hcrt/scheme https://w3id.org/kim/hcrt/text Textdokument Text LOMv1.0 yes https://creativecommons.org/licenses/by/4.0 application/pdf 1478759 https://phaidra.vetmeduni.ac.at/o:3241 https://phaidra.vetmeduni.ac.at/api/object/o:3241/thumbnail LOMv1.0 discipline