Modelling of river faecal indicator bacteria dynamics as a basis for faecal contamination reduction

Islam, M. M. Majedul; Sokolova, Ekaterina; Hofstra, Nynke

doi:10.1016/j.jhydrol.2018.06.077

Cited by 36 publications

(15 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Cho et al [ 16 ] presented a model showing that sunlight and precipitation are key factors affecting FIB, with drought and strong sunlight limiting, and intensive rainfall, accelerating their growth. These relationships have also been confirmed by other researchers [ 17 , 18 ]. The analysis of the spatial distribution of faecal bacteria indicated that both Escherichia coli and enterococci were the least abundant at the sampling site located at the beginning of the studied section of the river.…”

Section: Discussionsupporting

confidence: 89%

Spread Patterns of Antibiotic Resistance in Faecal Indicator Bacteria Contaminating an Urbanized Section of the Brda River

Kubera

2020

Microb Ecol

View full text Add to dashboard Cite

This paper presents the spatio-temporal distribution of faecal indicator bacteria (FIB) in the river section subject to anthropogenic stress and describes spread patterns of antibiotic resistance in the studied bacterial groups. The analysis involved 58 strains of Escherichia coli and 61 strains of enterococci. Antibiotic resistance profiles were prepared in accordance with the recommendations of the European Committee on Antimicrobial Susceptibility Testing (EUCAST). The results indicated a correlation between the location of a sampling site and the concentration of faecal bacteria. The highest average concentrations were recorded at the site located in the city centre, where the river is used mainly for recreation. Antibiotic resistance profiles showed that Escherichia coli had 100% sensitivity to tigecycline, levofloxacin and imipenem. The highest percentaage of strains (17%) were resistant to piperacillin. Enterococci were 100% sensitive to levofloxacin. No strains were vancomycin-resistant (VRE). The highest percentage of strains was resistant to imipenem (23%), and the lowest, to ampicillin (2%). The spatio-temporal distribution of antibiotic-resistant strains (ARS) indicated a high concentration of drug-resistant Escherichia coli (47%) in the summer season at the sampling site located in the last part of the river. At the same time, drug resistance in enterococci increased along the river course and was considerably higher in spring. There were no significant relationships between physico-chemical parameters of water and the levels of faecal bacteria. On the other hand, strong relationships were observed between the percentage of strains showing resistance to the applied antibiotics and physico-chemical and biological parameters of water. The percentage of antibiotic resistant strains of Escherichia coli was negatively correlated with dissolved oxygen concentration (r = − 0.9; p < 0.001) and BOD5 (r = − 0.85; p < 0.05). The percentage of antibiotic resistant strains of enterococci was most strongly correlated with water pH (r = − 0.92; p < 0.001).

show abstract

Section: Discussionsupporting

confidence: 89%

Spread Patterns of Antibiotic Resistance in Faecal Indicator Bacteria Contaminating an Urbanized Section of the Brda River

Kubera

2020

Microb Ecol

View full text Add to dashboard Cite

show abstract

“…Watershed‐scale modeling is a powerful instrument for forecasting changes in microbial water quality under diverse environmental and management scenarios (Islam et al, 2018). As K. Kim et al (2018) note, watershed‐scale modeling can help answer such questions as, What are the major microbial sources?…”

Section: Watershed‐scale Modelingmentioning

confidence: 99%

Microbial Water Quality: Monitoring and Modeling

et al. 2018

View full text Add to dashboard Cite

Microbial water quality lies in the nexus of human, animal, and environmental health. Multidisciplinary efforts are under way to understand how microbial water quality can be monitored, predicted, and managed. This special collection of papers in the Journal of Environmental Quality was inspired by the idea of creating a special section containing the panoramic view of advances and challenges in the arena of microbial water quality research. It addresses various facets of health‐related microorganism release, transport, and survival in the environment. The papers analyze the spatiotemporal variability of microbial water quality, selection of predictors of the spatiotemporal variations, the role of bottom sediments and biofilms, correlations between concentrations of indicator and pathogenic organisms and the role for risk assessment techniques, use of molecular markers, subsurface microbial transport as related to microbial water quality, antibiotic resistance, real‐time monitoring and nowcasting, watershed scale modeling, and monitoring design. Both authors and editors represent international experience in the field. The findings underscore the challenges of observing and understanding microbial water quality; they also suggest promising research directions for improving the knowledge base needed to protect and improve our water sources. Core Ideas Environmental factors are known to control microbial water quality in natural systems. This collection of papers presents a panoramic view of microbial water quality research. With this special section, the editors hope to stimulate interdisciplinary efforts in the field.

show abstract

“…This, together with the large uncertainties of source and transport variables [32], hinders progress to assess and model viral pollution dynamics at a river basin scale. In this respect, most of the microbial fate and transport models described thus far focused on faecal indicator bacteria [33,34], while only some also include pathogens, allowing a direct assessment of health risks [35][36][37]. It is argued that modelling FRNAPH loads in rivers [38] can shed some light on the influence of hydro-meteorological and suspended solids and sediment transport parameters on virus concentrations, resulting in a better understanding of transport processes and eventually leading to better predictive tools.…”

Section: Introductionmentioning

confidence: 99%

F-Specific RNA Bacteriophage Transport in Stream Water: Hydro-Meteorological Controls and Association with Suspended Solids

Martínez‐Carreras

Ogorzaly

Walczak

et al. 2021

Water

View full text Add to dashboard Cite

F-specific RNA bacteriophages (FRNAPHs) are commonly used as indicators of faecal and viral contamination in waters. Once they enter surface waters, the exact role of suspended solids, sediments and hydro-meteorological factors in their fluvial fate and transport is poorly understood, and long-term studies (e.g., over years) are lacking. In this study, FRNAPH concentrations and genogroup distribution were measured in the Orne River (France) during two years at weekly intervals, and during four storm runoff events. Hydro-meteorological driving factors were investigated at both time scales. FRNAPH concentrations and genogroups at different depths of a riverbank sediment core were also examined to better discriminate the origin of the faecal pollution. During low flows, the FRNAPH and the suspended solid transport were decoupled and the FRNAPH concentrations were mainly correlated with the air and water temperature. During storm runoff events, the FRNAPH concentrations only showed a significant correlation with conductivity, turbidity and water discharge. Despite the uncertainty of the predictions, multi parameter regression models using hydro-meteorological variables were suitable to predict log transformed FRNAPHs’ concentrations at low flows with a standard error of 0.46. Model performance using the storm runoff events dataset was low. This study highlights different driving factors at low flows and during storm runoff events, and the need to measure at both time scales to better understand phage transport dynamics in surface water.

show abstract

Modelling of river faecal indicator bacteria dynamics as a basis for faecal contamination reduction

Cited by 36 publications

References 42 publications

Spread Patterns of Antibiotic Resistance in Faecal Indicator Bacteria Contaminating an Urbanized Section of the Brda River

Spread Patterns of Antibiotic Resistance in Faecal Indicator Bacteria Contaminating an Urbanized Section of the Brda River

Microbial Water Quality: Monitoring and Modeling

F-Specific RNA Bacteriophage Transport in Stream Water: Hydro-Meteorological Controls and Association with Suspended Solids

Contact Info

Product

Resources

About