Literature DB >> 25864180

The Frequency Component of Water Quality Criterion Compliance Assessment Should be Data Driven.

Song S Qian1.   

Abstract

A numerical water quality criterion in the U.S. consists of three components representing magnitude, duration, and frequency. While magnitude and duration are well defined and conceptually unambiguous, the meaning of the frequency component is often debatable. We interpret the frequency component as a tool for accounting for uncertainty in estimating the mean concentration of a water quality constituent, after revisiting early works on environmental standards and criteria. Based on this interpretation, we illustrate management-related issues when using the default frequency of one exceedance in 3 years in compliance assessment. We propose a data-driven approach for estimating an appropriate frequency to ensure a consistent level of confidence in a water's compliance of a water quality criterion. The data-driven frequency is determined by water quality constituent concentration distribution characteristics and sample size. The method is illustrated using two examples.

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Year:  2015        PMID: 25864180     DOI: 10.1007/s00267-015-0493-1

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  4 in total

1.  Confidence of compliance: a Bayesian approach for percentile standards.

Authors:  G B McBride; J C Ellis
Journal:  Water Res       Date:  2001-04       Impact factor: 11.236

2.  Statistical assessment of violations of water quality standards under Section 303(d) of the clean water act.

Authors:  E P Smith; K Ye; C Hughes; L Shabman
Journal:  Environ Sci Technol       Date:  2001-02-01       Impact factor: 9.028

3.  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

4.  Establishment of reference conditions for nutrients in an intensive agricultural watershed, Eastern China.

Authors:  Jiabo Chen; Jun Lu
Journal:  Environ Sci Pollut Res Int       Date:  2013-10-01       Impact factor: 4.223

  4 in total
  1 in total

1.  On Abandoning Hypothesis Testing in Environmental Standard Compliance Assessment.

Authors:  Song S Qian; Robert J Miltner
Journal:  Environ Manage       Date:  2018-04-04       Impact factor: 3.266

  1 in total

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