Spatiotemporal variability in microbial water quality and fecal source tracking markers in a subtropical estuary and its tributaries

In rapidly developing urban communities, recreational water quality is often compromised by the presence of fecal pollution, increasing the potential risk to public health. In this study, surface water samples from tributaries to Lake Pontchartrain (an estuary in southeastern Louisiana, United States), recreational shoreline sites, and wastewater samples from residential aerobic treatment units (ATU) were collected and analyzed for fecal bacteria using both culture- and molecular-based assays. During the 2-year study period, fecal indicator bacteria (coliform, <i>Escherichia coli</i>, and enterococci) were detected in all water samples collected from tributaries. Human-specific fecal marker concentrations varied per sampling site but were significantly higher in tributaries, demonstrating individual wastewater treatment units as a primary source of fecal contamination. Pathogenic <i>E. coli</i> and <i>Campylobacter jejuni</i> were only detected in tributaries. Statistical analysis indicated weak relationships between physiochemical water quality parameters and concentrations of enteric pathogens or fecal markers. The prevalence of human fecal contamination in estuaries poses a potential public health problem for recreational use, as it increases exposure risks. This study demonstrates that the application of multiple water quality indicators may yield greater confidence in assessing fecal contamination and ultimately could better inform remediation decisions to improve recreational water quality.

Authors

Institutions

Publication Details

Journal
Journal of Water and Health
Published
2025-10-11
DOI
https://doi.org/10.2166/wh.2025.083
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal variability in microbial water quality and fecal source tracking markers in a subtropical estuary and its tributaries

Joshua Alarcon, Fernanda Mac‐Allister Cedraz, Tiong Gim Aw, Keegan Brighton et al.
Journal of Water and Health
Microbial Community Ecology and Physiology
article

Spatiotemporal variability in microbial water quality and fecal source tracking markers in a subtropical estuary and its tributaries

Joshua Alarcon, Fernanda Mac‐Allister Cedraz, Tiong Gim Aw, Keegan Brighton, Annika Nelson
article en

Abstract

In rapidly developing urban communities, recreational water quality is often compromised by the presence of fecal pollution, increasing the potential risk to public health. In this study, surface water samples from tributaries to Lake Pontchartrain (an estuary in southeastern Louisiana, United States), recreational shoreline sites, and wastewater samples from residential aerobic treatment units (ATU) were collected and analyzed for fecal bacteria using both culture- and molecular-based assays. During the 2-year study period, fecal indicator bacteria (coliform, <i>Escherichia coli</i>, and enterococci) were detected in all water samples collected from tributaries. Human-specific fecal marker concentrations varied per sampling site but were significantly higher in tributaries, demonstrating individual wastewater treatment units as a primary source of fecal contamination. Pathogenic <i>E. coli</i> and <i>Campylobacter jejuni</i> were only detected in tributaries. Statistical analysis indicated weak relationships between physiochemical water quality parameters and concentrations of enteric pathogens or fecal markers. The prevalence of human fecal contamination in estuaries poses a potential public health problem for recreational use, as it increases exposure risks. This study demonstrates that the application of multiple water quality indicators may yield greater confidence in assessing fecal contamination and ultimately could better inform remediation decisions to improve recreational water quality.

Journal of Water and HealthVol. 23(11)
Tulane University (US)
Openalex Percentile: Top 72%
Microbial Community Ecology and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.