Literature DB >> 27842967

Monitoring bacterial indicators of water quality in a tidally influenced delta: A Sisyphean pursuit.

Melissa L Partyka1, Ronald F Bond2, Jennifer A Chase3, Edward R Atwill4.   

Abstract

The Sacramento-San Joaquin Delta Estuary (Delta) is the confluence of two major watersheds draining the Western Sierra Nevada mountains into the Central Valley of California, ultimately terminating into San Francisco Bay. We sampled 88 sites once a month for two years (2006-2008) over 87 separate sampling events for a total of 1740 samples. Water samples were analyzed for fecal indicator bacteria (Escherichia coli, enterococci and fecal coliforms), and 53 other physiochemical, land use, and environmental characteristics. The purpose of the study was to create a baseline of microbial water quality in the Delta and to identify various factors (climatic, land use, tidal, etc.) that were associated with elevated concentrations of indicator bacteria. Fecal indicator bacteria generally had weak to modest relationships to environmental conditions; the strength and direction of which varied for each microbial indicator, drainage region, and across seasons. Measured and unmeasured, site-specific effects accounted for large portions of variance in model predictions (ρ=0.086 to 0.255), indicating that spatial autocorrelation was a major component of water quality outcomes. The effects of tidal cycling and lack of connectivity between waterways and surrounding landscapes likely contributed to the lack of association between local land uses and microbial outcomes, though weak associations may also be indicative of mismatched spatiotemporal scales. The complex nature of this system necessitates continued monitoring and regular updates to statistical models designed to predict microbial water quality.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fecal indicator bacteria; Multiple linear regression; Non-point source; Sacramento-San Joaquin Delta; Spatio-temporal scale; Water quality monitoring

Mesh:

Year:  2016        PMID: 27842967     DOI: 10.1016/j.scitotenv.2016.10.179

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Computer Vision Approach for the Determination of Microbial Concentration and Growth Kinetics Using a Low Cost Sensor System.

Authors:  Marco Grossi; Carola Parolin; Beatrice Vitali; Bruno Riccò
Journal:  Sensors (Basel)       Date:  2019-12-05       Impact factor: 3.576

2.  [Evaluation of surface water quality in recreational areas, an integrative proposal of chemical and microbiological markers].

Authors:  Jorge Victorio Pavan; Gisella Masachessi; Verónica Emilse Prez; Guadalupe Di Cola; Viviana Elizabeth Re; Silvia Viviana Nates
Journal:  Rev Fac Cien Med Univ Nac Cordoba       Date:  2022-06-06

3.  Pathogenic Escherichia coli Strains Recovered from Selected Aquatic Resources in the Eastern Cape, South Africa, and Its Significance to Public Health.

Authors:  Kingsley Ehi Ebomah; Martins Ajibade Adefisoye; Anthony Ifeanyi Okoh
Journal:  Int J Environ Res Public Health       Date:  2018-07-17       Impact factor: 3.390

  3 in total

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