Literature DB >> 30045580

Assessing background levels of specific conductivity using weight of evidence.

Susan M Cormier1, Lei Zheng2, Glenn W Suter3, Colleen M Flaherty4.   

Abstract

There are many ways to estimate background levels, and many types of evidence may contribute to determining whether a water, air, or soil is at background. As a result, it is important to define background in each case and to weigh the available evidence to determine the best estimate of background. A weight-of-evidence approach is demonstrated that assesses whether the background SC is sufficiently similar in streams of Ecoregion 70 in West Virginia and Ohio. During planning, five relevant considerations were identified to assess background SC: physical properties, measured SC, spatial distribution of low SC sites, biological properties, and data relevance and reliability. For each consideration, diverse types of evidence were generated, evaluated, and synthesized using weight of evidence. In the example, evidence was weighed for the hypothesis that background SC is similar in two areas in Ecoregion 70, the Western Allegheny Plateau in the eastern United States. Where, as in this case, background is not well characterized by measurements, because data sets are small or sampling designs or anthropogenic inputs may influence estimates of background, it is suggested that information about regional properties, related to and affected by SC, may be used to determine whether SC in the less characterized area is sufficiently similar to a well characterized area. Published by Elsevier B.V.

Entities:  

Keywords:  Background assessment; Criterion applicability; Geophysical; Salt; Stream; Water quality criterion

Year:  2018        PMID: 30045580      PMCID: PMC7079169          DOI: 10.1016/j.scitotenv.2018.02.017

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


  14 in total

1.  Estimates of ambient background concentrations of trace metals in soils for risk assessment.

Authors:  F J Zhao; S P McGrath; G Merrington
Journal:  Environ Pollut       Date:  2007-01-16       Impact factor: 8.071

2.  Setting expectations for the ecological condition of streams: the concept of reference condition.

Authors:  John L Stoddard; David P Larsen; Charles P Hawkins; Richard K Johnson; Richard H Norris
Journal:  Ecol Appl       Date:  2006-08       Impact factor: 4.657

3.  A framework for fully integrating environmental assessment.

Authors:  Susan M Cormier; Glenn W Suter
Journal:  Environ Manage       Date:  2008-05-28       Impact factor: 3.266

4.  A weight of evidence framework for environmental assessments: Inferring qualities.

Authors:  Glenn Suter; Susan Cormier; Mace Barron
Journal:  Integr Environ Assess Manag       Date:  2017-07-21       Impact factor: 2.992

5.  Assessing background levels of specific conductivity using weight of evidence.

Authors:  Susan M Cormier; Lei Zheng; Glenn W Suter; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-28       Impact factor: 7.963

6.  A method for deriving water-quality benchmarks using field data.

Authors:  Susan M Cormier; Glenn W Suter
Journal:  Environ Toxicol Chem       Date:  2012-12-27       Impact factor: 3.742

7.  Assessment of natural background levels in potentially contaminated coastal aquifers.

Authors:  A Molinari; F Chidichimo; S Straface; A Guadagnini
Journal:  Sci Total Environ       Date:  2014-01-19       Impact factor: 7.963

8.  A flow-chart for developing water quality criteria from two field-based methods.

Authors:  Susan M Cormier; Lei Zheng; Ryan A Hill; Rachael M Novak; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-01       Impact factor: 7.963

9.  A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity.

Authors:  Susan M Cormier; Lei Zheng; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-22       Impact factor: 7.963

10.  Natural background concentrations of nutrients in streams and rivers of the conterminous United States.

Authors:  Richard A Smith; Richard B Alexander; Gregory E Schwarz
Journal:  Environ Sci Technol       Date:  2003-07-15       Impact factor: 9.028

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  4 in total

1.  Assessing background levels of specific conductivity using weight of evidence.

Authors:  Susan M Cormier; Lei Zheng; Glenn W Suter; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-28       Impact factor: 7.963

2.  A field-based characterization of conductivity in areas of minimal alteration: A case example in the Cascades of northwestern United States.

Authors:  Susan M Cormier; Lei Zheng; Gretchen Hayslip; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-19       Impact factor: 7.963

3.  A flow-chart for developing water quality criteria from two field-based methods.

Authors:  Susan M Cormier; Lei Zheng; Ryan A Hill; Rachael M Novak; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-01       Impact factor: 7.963

4.  A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity.

Authors:  Susan M Cormier; Lei Zheng; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-22       Impact factor: 7.963

  4 in total

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