ArticleWater research2020
Spatiotemporal variability and key influencing factors of river fecal coliform within a typical complex watershed.
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 11 papers.
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
11 citing papers in PubMed, 68 citations in OpenAlex.
- Indicator Bacteria-Based Assessment of Microbial Contamination with Wastewater-Agriculture-Health Nexus: Implication for Irrigation Water Safety in Gelan, Ethiopia.Environmental health insights · 2026Article
- Pilot study on seasonal variability in microbial contamination in the developing tourist region of Mindo, Ecuador: a comparative analysis of the Saguambi, Mindo, and Canchupí Rivers.BMC research notes · 2025Article
- Anthropogenic contamination sources drive differences in antimicrobial-resistantApplied and environmental microbiology · 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
- Drivers of Antibiotic Resistance Gene Abundance in an Urban River.Antibiotics (Basel, Switzerland) · 2023Article
- The Distribution of Mobile Colistin-Resistant Genes, Carbapenemase-Encoding Genes, and Fluoroquinolone-Resistant Genes inAntibiotics (Basel, Switzerland) · 2022Article
- Reclamation of wastewater in wetlands using reed plants and biochar.Scientific reports · 2022Article
- Integration of satellite image-derived temperature and water depth for assessing fish habitability in dam controlled flood plain wetland.Environmental science and pollution research international · 2022Article
- Spatiotemporal variations of dissolved organic matter in a typical multi-source watershed in northern China: a fluorescent evidence.Environmental science and pollution research international · 2022Article
- Prioritizing sponge city sites in rapidly urbanizing watersheds using multi-criteria decision model.Environmental science and pollution research international · 2021Article
- Shallow groundwater environmental investigation at northeastern Cairo, Egypt: quality and photo-treatment evaluation.Environmental geochemistry and health · 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
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fecal coliform bacteria are a key indicator of human health risks; however, the spatiotemporal variability and key influencing factors of river fecal coliform have yet to be explored in a rural-suburban-urban watershed with multiple land uses. In this study, the fecal coliform concentrations in 21 river sections were monitored for 20 months, and 441 samples were analyzed. Multivariable regressions were used to evaluate the spatiotemporal dynamics of fecal coliform. The results showed that spatial differences were mainly dominated by urbanization level, and environmental factors could explain the temporal dynamics of fecal coliform in different urban patterns except in areas with high urbanization levels. Reducing suspended solids is a direct way to manage fecal coliform in the Beiyun River when the natural factors are difficulty to change, such as temperature and solar radiation. The export of fecal coliform from urban areas showed a quick and sensitive response to rainfall events and increased dozens of times in the short term. Landscape patterns, such as the fragmentation of impervious surfaces and the overall landscape, were identified as key factors influencing urban non-point source bacteria. The results obtained from this study will provide insight into the management of river fecal pollution.
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.