Literature DB >> 24839925

Response of coliform populations in streambed sediment and water column to changes in nutrient concentrations in water.

D R Shelton1, Y A Pachepsky2, L A Kiefer3, R A Blaustein1, G W McCarty4, T H Dao5.   

Abstract

As sediments increasingly become recognized as reservoirs of indicator and pathogen microorganisms, an understanding of the persistence of indicator organisms becomes important for assessment and predictions of microbial water quality. The objective of this work was to observe the response of water column and sediment coliform populations to the change in nutrient concentrations in the water column. Survival experiments were conducted in flow-through chambers containing sandy sediments. Bovine feces were collected fresh and introduced into sediment. Sixteen days later, the same fecal material was autoclaved and diluted to provide three levels - 1×, 0.5×, and 0.1× of nutrient concentrations - spike in water column. Total coliforms, Escherichia coli, and total aerobic heterotrophic bacterial concentrations were monitored in water and sediment. Bacteria responded to the nutrient spike with initial growth both in the water column and in sediment. The response of bacterial concentrations in water column was nonlinear, with no significant changes at 0.1 and .5× spikes, but a substantial change at 1× spike. Bacteria in sediment responded to the spikes at all added nutrient levels. Coliform inactivation rates both in sediment and in water after the initial growth occurred, were not significantly different from the inactivation rates before spike. These results indicate that introduction of nutrients into the water column results in nonlinear response of E. coli concentrations both in water and in sediments, followed by the inactivation with the same rate as before introduction of nutrients. Published by Elsevier Ltd.

Entities:  

Keywords:  E. coli (all potentially pathogenic types); Environmental/recreational water; Sediment; Water quality

Mesh:

Substances:

Year:  2014        PMID: 24839925     DOI: 10.1016/j.watres.2014.04.019

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  7 in total

1.  Impact of low intensity summer rainfall on E. coli-discharge event dynamics with reference to sample acquisition and storage.

Authors:  David M Oliver; Kenneth D H Porter; A Louise Heathwaite; Ting Zhang; Richard S Quilliam
Journal:  Environ Monit Assess       Date:  2015-06-12       Impact factor: 2.513

2.  Enrichment of stream water with fecal indicator organisms during baseflow periods.

Authors:  Yakov Pachepsky; Matthew Stocker; Manuel Olmeda Saldaña; Daniel Shelton
Journal:  Environ Monit Assess       Date:  2017-01-06       Impact factor: 2.513

3.  Significance of beach geomorphology on fecal indicator bacteria levels.

Authors:  Allison Donahue; Zhixuan Feng; Elizabeth Kelly; Ad Reniers; Helena M Solo-Gabriele
Journal:  Mar Pollut Bull       Date:  2017-06-07       Impact factor: 5.553

Review 4.  Abundance and Distribution of Enteric Bacteria and Viruses in Coastal and Estuarine Sediments-a Review.

Authors:  Francis Hassard; Ceri L Gwyther; Kata Farkas; Anthony Andrews; Vera Jones; Brian Cox; Howard Brett; Davey L Jones; James E McDonald; Shelagh K Malham
Journal:  Front Microbiol       Date:  2016-11-01       Impact factor: 5.640

5.  Physicochemical Factors Influence the Abundance and Culturability of Human Enteric Pathogens and Fecal Indicator Organisms in Estuarine Water and Sediment.

Authors:  Francis Hassard; Anthony Andrews; Davey L Jones; Louise Parsons; Vera Jones; Brian A Cox; Peter Daldorph; Howard Brett; James E McDonald; Shelagh K Malham
Journal:  Front Microbiol       Date:  2017-10-17       Impact factor: 5.640

6.  Microbial Remobilisation on Riverbed Sediment Disturbance in Experimental Flumes and a Human-Impacted River: Implication for Water Resource Management and Public Health in Developing Sub-Saharan African Countries.

Authors:  Akebe Luther King Abia; Chris James; Eunice Ubomba-Jaswa; Maggy Ndombo Benteke Momba
Journal:  Int J Environ Res Public Health       Date:  2017-03-15       Impact factor: 3.390

7.  Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms.

Authors:  Matthew D Stocker; Yakov A Pachepsky; Robert L Hill
Journal:  Front Artif Intell       Date:  2022-01-11
  7 in total

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