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Scatterscore: a reconnaissance method to evaluate changes in water quality.

A G Kim1, C R Cardone

  • 1National Energy Technology Laboratory, U.S. Department of Energy, 626 Cochrans Mill Road, Pittsburgh, Pennsylvania, U.S.A. akim@netl.doe.gov

Environmental Monitoring and Assessment
|November 29, 2005
PubMed
Summary

A new Scatterscore Water Quality Evaluation method quantifies changes in water quality. This approach tracks environmental impacts from coal utilization by-products (CUB) controlling acid mine drainage (AMD).

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Area of Science:

  • Environmental Science
  • Water Resource Management
  • Analytical Chemistry

Background:

  • Evaluating periodic water quality data is challenging due to numerous parameters, varied sampling schedules, and differing data magnitudes.
  • Existing methods struggle to provide a unified assessment of water quality changes over time.
  • Acid mine drainage (AMD) poses significant environmental risks, necessitating effective monitoring strategies.

Purpose of the Study:

  • To introduce a novel quantitative method, the Scatterscore Water Quality Evaluation, for assessing changes in water quality.
  • To develop a reconnaissance tool for tracking general water quality trends using historical data.
  • To apply the Scatterscore method to evaluate water quality at sites impacted by coal utilization by-products (CUB) used for AMD control.

Main Methods:

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  • The Scatterscore method compares up-gradient (control) and down-gradient (treatment) water quality data sets across multiple sampling points and time periods.
  • It analyzes the relationship between the range of measured values and the ratio of medians for each parameter.
  • A Scatterscore is calculated based on the frequency and average values of positive, negative, and random change points.

Main Results:

  • The Scatterscore provides a quantitative score indicating the magnitude and direction of overall water quality change.
  • The methodology was successfully applied to 20 sites utilizing coal utilization by-products (CUB) for acid mine drainage (AMD) control.
  • The Scatterscore effectively synthesizes complex water quality data into an interpretable metric.

Conclusions:

  • The Scatterscore Water Quality Evaluation offers a robust and quantitative approach to assessing water quality dynamics.
  • This method enhances the evaluation of environmental impacts, particularly in contexts like AMD remediation.
  • The Scatterscore serves as a valuable reconnaissance tool for monitoring environmental changes and the efficacy of mitigation strategies.