ArticleWater research2020
Fecal pollution source characterization at non-point source impacted beaches under dry and wet weather conditions.
Article in Water research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Have genetic targets for faecal pollution diagnostics and source tracking revolutionized water quality analysis yet?FEMS microbiology reviews · 2023Pooled it
- Wave-driven resuspension as the dominant environmental predictor of enterococci at Chicago beaches.Environmental monitoring and assessment · 2026Article
- The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season.Microbiology spectrum · 2025Article
- Identifying potential introduced and natural sources of pollution in Delaware watersheds.Applied and environmental microbiology · 2024Article
- Quantitative fecal pollution assessment with bacterial, viral, and molecular methods in small stream tributaries.The Science of the total environment · 2024Article
- Quantitative fecal source characterization of urban municipal storm sewer system outfall 'wet' and 'dry' weather discharges.Water research · 2024Article
- A fecal score approximation model for analysis of real-time quantitative PCR fecal source identification measurements.Water research · 2024Article
- Methodological differences between studies confound one-size-fits-all approaches to managing surface waterways for food and water safety.Applied and environmental microbiology · 2024Article
- Growth and Decay of Fecal Indicator Bacteria and Changes in the Coliform Composition on the Top Surface Sand of Coastal Beaches during the Rainy Season.Microorganisms · 2023Article
- Genetic fecal source identification in urban streams impacted by municipal separate storm sewer system discharges.PloS one · 2023Article
- Performance of NIST SRM® 2917 with 13 recreational water quality monitoring qPCR assays.Water research · 2022Article
- A baseline study of spatial variability of bacteria (total coliform, E. coli, and Enterococcus spp.) as biomarkers of pollution in ten tropical Atlantic beaches: concern for environmental and public health.Environmental science and pollution research international · 2021Article
- Critical source areas' identification for non-point source pollution related to nitrogen and phosphorus in an agricultural watershed based on SWAT model.Environmental science and pollution research international · 2021Article
- Bathing Water Quality Monitoring Practices in Europe and the United States.International journal of environmental research and public health · 2021Review
- Variable fecal source prioritization in recreational waters routinely monitored with viral and bacterial general indicators.Water research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Though Lake Michigan beaches in Chicago are not impacted by stormwater or wastewater outfalls, several of those beaches often exceed USEPA Beach Action Values (BAVs). We investigated the role of microbial source tracking (MST) as a complement to routine beach monitoring at Chicago beaches. In summer 2016, water samples from nine Chicago beaches were analyzed for E. coli by culture and enterococci by qPCR. A total of 195 archived samples were then tested for human (HF183/BacR287, HumM2), canine (DG3, DG37), and avian (GFD) microbial source tracking (MST) markers. Associations between MST and general fecal indicator bacteria (FIB) measures were evaluated and stratified based on wet and dry weather definitions. Among the 195 samples, HF183/BacR287 was quantifiable in 4%, HumM2 in 1%, DG3 in 6%, DG37 in 2%, and GFD in 23%. The one beach with a dog area was far more likely to have DG3 present in the quantifiable range than other beaches. Exceedance of general FIB BAVs increased the odds of human, dog and avian marker detection. MST marker weighted-average fecal scores for DG3 was 2.4 times, DG37 was 2.1 times, and GFD was 1.6 times higher during wet compared to dry weather conditions. HF183/BacR287 weighted-average fecal scores were not associated with precipitation. Associations between FIB BAV exceedance and MST marker detection were generally stronger in wet weather. Incorporating MST testing into routine beach water monitoring can provide information that beach managers can use when developing protection plans for beaches not impacted by point sources.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.