Literature DB >> 19615712

Importance of interactions between the water column and the sediment for microbial concentrations in streams.

Chris R Rehmann1, Michelle L Soupir.   

Abstract

The effect of interactions between the sediment and water column on concentrations of microbes in streams is quantified with a one-dimensional, steady state model. The effects of nine main parameters describing the flow, sediment transport, and microbial growth and decay are encapsulated in two dimensionless parameters: the Damköhler number Da, or the ratio of the time scales of advection and net growth, and the sediment interaction parameter S, or the ratio of the amount of microbes lost or gained in the sediment and the amount of microbes lost or gained in the water column. Applications of the model illustrate the importance of the sediment and identify parameters that require further study. The model predicts the field measurements of Jamieson et al. (2005b) within a factor of 2 in two of three cases, while concentrations predicted by ignoring the sediment exceed the measured values. In general, the effects of ignoring interactions with the sediment depend on Da and S. The loading predicted to meet water quality standards when the sediment is considered can be either greater than or less than the loading predicted when it is not considered. The applications of the model and an analysis of uncertainty suggest that further work on the settling velocity, attached fraction, resuspension rate, and net growth rate in the sediment would help to improve predictions of the fate and transport of microbes.

Entities:  

Mesh:

Year:  2009        PMID: 19615712     DOI: 10.1016/j.watres.2009.06.049

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


  10 in total

1.  Quantifying the Relative Contributions of Environmental Sources to the Microbial Community in an Urban Stream under Dry and Wet Weather Conditions.

Authors:  Darshan Baral; Allison Speicher; Bruce Dvorak; David Admiraal; Xu Li
Journal:  Appl Environ Microbiol       Date:  2018-07-17       Impact factor: 4.792

2.  Characterization of Escherichia coli Isolates from an Urban Lake Receiving Water from a Wastewater Treatment Plant in Mexico City: Fecal Pollution and Antibiotic Resistance.

Authors:  Irma Rosas; Eva Salinas; Leticia Martínez; Ariadnna Cruz-Córdova; Bertha González-Pedrajo; Norma Espinosa; Carlos F Amábile-Cuevas
Journal:  Curr Microbiol       Date:  2015-07-22       Impact factor: 2.188

3.  Characterizing spatial structure of sediment E. coli populations to inform sampling design.

Authors:  Gregory S Piorkowski; Rob C Jamieson; Lisbeth Truelstrup Hansen; Greg S Bezanson; Chris K Yost
Journal:  Environ Monit Assess       Date:  2014-01       Impact factor: 2.513

4.  A neighborhood statistics model for predicting stream pathogen indicator levels.

Authors:  Pramod K Pandey; Gregory B Pasternack; Mahbubul Majumder; Michelle L Soupir; Mark S Kaiser
Journal:  Environ Monit Assess       Date:  2015-02-20       Impact factor: 2.513

5.  Antimicrobial Resistance in Escherichia coli and Enterococcal Isolates From Irrigation Return Flows in a High-Desert Watershed.

Authors:  Robert S Dungan; David L Bjorneberg
Journal:  Front Microbiol       Date:  2021-05-12       Impact factor: 5.640

6.  Spatial Variability of Escherichia coli in Rivers of Northern Coastal Ecuador.

Authors:  Gouthami Rao; Joseph N S Eisenberg; David G Kleinbaum; William Cevallos; Gabriel Trueba; Karen Levy
Journal:  Water (Basel)       Date:  2015-02-13       Impact factor: 3.103

7.  Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses.

Authors:  Romain Marti; Sébastien Ribun; Jean-Baptiste Aubin; Céline Colinon; Stéphanie Petit; Laurence Marjolet; Michèle Gourmelon; Laurent Schmitt; Pascal Breil; Marylise Cottet; Benoit Cournoyer
Journal:  Front Microbiol       Date:  2017-01-24       Impact factor: 5.640

8.  Indicator bacteria community in seawater and coastal sediment: the Persian Gulf as a case.

Authors:  Vahid Noroozi Karbasdehi; Sina Dobaradaran; Iraj Nabipour; Afshin Ostovar; Hossein Arfaeinia; Amir Vazirizadeh; Roghayeh Mirahmadi; Mozhgan Keshtkar; Fatemeh Faraji Ghasemi; Farzaneh Khalifei
Journal:  J Environ Health Sci Eng       Date:  2017-03-10

9.  Bacterial diversity differences along an epigenic cave stream reveal evidence of community dynamics, succession, and stability.

Authors:  Kathleen Brannen-Donnelly; Annette S Engel
Journal:  Front Microbiol       Date:  2015-07-21       Impact factor: 5.640

10.  Contamination of water resources by pathogenic bacteria.

Authors:  Pramod K Pandey; Philip H Kass; Michelle L Soupir; Sagor Biswas; Vijay P Singh
Journal:  AMB Express       Date:  2014-06-28       Impact factor: 4.126

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.