Over a three-year period, quantification of faecal indicators and the molecular detection of Escherichia coli and Salmonella were monitored in sediments from three contrasting mudflats of the Seine estuary (France). The elevation of the mudflat surface was monitored concurrently using a high-resolution altimeter. During the period of the study, estuarine mudflats were areas of deposition for faecal-indicator bacteria and were mainly controlled by sedimentary processes. In the intertidal freshwater and subtidal mudflats, the highest abundances of faecal-indicator bacteria were counted during a depositional period. Maximum levels were observed in the freshwater mudflats during periods of high flow: thermotolerant coliforms: 3.9 x 10(4) cfu cm(-2), enterococci: 1.2 x 10(4) cfu cm(-2), Clostridium perfringens spores: 9.8 x 10(5) spores cm(-2). Loss of culturability of enteric bacteria in sediment microcosms demonstrated the remediatory capacity of the mudflats, even if they might be a secondary source of bacteria-forming spores to the water column through erosion and resuspension events.
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http://dx.doi.org/10.1016/j.marpolbul.2007.10.013 | DOI Listing |
Environ Pollut
December 2024
UK Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, Gwynedd, LL57 2UW, UK; Liverpool Hope University, Department of Geography and Environmental Science, Hope Park, Liverpool, L16 9JD, UK.
Sustainability of bivalve shellfish farming relies on clean coastal waters, however, high levels of faecal indicator organisms (FIOs, e.g. Escherichia coli) in shellfish results in temporary closure of shellfish harvesting beds to protect human health, but with economic consequences for the shellfish industry.
View Article and Find Full Text PDFSci Total Environ
December 2024
Departamento Modelización Estadística de Datos e Inteligencia Artificial (MEDIA), CURE-Rocha, Universidad de la República, Ruta Nacional N°9 intersección Ruta N°15, Rocha 27000, Uruguay.
Faecal contamination is a widespread environmental and public health problem on recreational beaches around the world. The implementation of predictive models has been recommended by the World Health Organization as a complement to traditional monitoring to assist decision-makers and reduce health risks. Despite several advances that have been made in the modeling of faecal coliforms, tools and algorithms from machine learning are still scarcely used in the field and their implementation in nowcast systems is delayed.
View Article and Find Full Text PDFHeliyon
August 2024
Department of Life Sciences and Systems Biology, University of Torino, Via Accademia Albertina 13, 10123, Turin, Italy.
Water Res
November 2024
School of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.
Wastewater-based monitoring has been widely implemented worldwide for the tracking of SARS-CoV-2 outbreaks and other viral diseases. In many surveillance programmes, unprocessed and processed wastewater samples are often frozen and stored for long periods of time in case the identification and tracing of an emerging health threat becomes necessary. However, extensive sample bioarchives may be difficult to maintain due to limitations in ultra-freezer capacity and associated cost.
View Article and Find Full Text PDFWater Res
September 2024
Institute of Marine Biological Resources and Biotechnologies, National Research Council (CNR-IRBIM), Ancona, Italy; NBFC, National Biodiversity Future Center, Palermo 90133, Italy. Electronic address:
Faecal contamination of the coastal sea poses widespread hazard to human and environmental health and is predicted to rise in response to global change and human pressure. For better management and risk reduction it is thus imperative to clarify and predict trends of faecal pollution over spatial and temporal scales, and to assess links with climate and other variables. Here, we investigated the spatio-temporal variation in the Faecal Indicator Bacteria (FIB) Escherichia coli and enterococci, over a time frame spanning 11 years (2011-2021) along a coastal area covering approximately 40 km and 59 bathing sites in the Marche region (Adriatic Sea, Italy), characterized by intense beach tourism, high riverine inputs, resident population, maritime traffic and industrial activities.
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