<div class="csl-bib-body">
<div class="csl-entry">Derx, J., Kilic, H. S., Linke, R., Cervero-Aragó, S., Frick, C., Schijven, J., Kirschner, A. K. T., Lindner, G., Walochnik, J., Stalder, G., Sommer, R., Saracevic, E., Zessner, M., Blaschke, A., & Farnleitner, A. (2023). Probabilistic fecal pollution source profiling and microbial source tracking for an urban river catchment. <i>Science of the Total Environment</i>, <i>857</i>(2), Article 159533. https://doi.org/10.1016/j.scitotenv.2022.159533</div>
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dc.identifier.issn
0048-9697
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/139282
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dc.description.abstract
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.
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dc.description.sponsorship
Österr. Akademie der Wissenschaften
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dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.language.iso
en
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dc.publisher
Elsevier
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dc.relation.ispartof
Science of the Total Environment
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Advanced catchment survey
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dc.subject
Fecal indicators
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dc.subject
Informed choice of parameters
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dc.subject
Microbial source tracking
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dc.subject
Microbiological water safety
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dc.subject
Micropollutants
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dc.subject
Probabilistic modelling
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dc.subject
Recreational water quality
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dc.subject
Zoonotic reference pathogens
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dc.title
Probabilistic fecal pollution source profiling and microbial source tracking for an urban river catchment