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Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
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Quantifying remediation effectiveness under variable external forcing using contaminant rating curves.

James W Kirchner1, Carrie M Austin, Alexandra Myers

  • 1Department of Earth and Planetary Science, University of California, Berkeley, California 94720-4767, USA. james.kirchner@wsl.ch

Environmental Science & Technology
|August 11, 2011
PubMed
Summary
This summary is machine-generated.

Assessing environmental remediation requires accounting for external factors like weather. Using contaminant rating curves provides a more accurate measure of cleanup effectiveness, revealing true remediation impact beyond superficial before-and-after comparisons.

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Area of Science:

  • Environmental Science
  • Environmental Engineering
  • Hydrology

Background:

  • Traditional remediation assessment relies on before-and-after contaminant comparisons.
  • External drivers, such as weather, can skew these comparisons, leading to misleading effectiveness evaluations.
  • Accurate assessment is crucial for understanding true environmental cleanup success.

Purpose of the Study:

  • To introduce and illustrate a method for more accurate remediation assessment using contaminant rating curves.
  • To demonstrate how to account for external drivers like weather in evaluating cleanup effectiveness.
  • To provide a case study of mercury mine remediation in Northern California.

Main Methods:

  • Development and application of contaminant rating curves for "all else equal" comparisons.
  • Analysis of pre- and postremediation mercury loads under varying weather conditions.
  • Quantification of the impact of weather versus remediation on contaminant loads.

Main Results:

  • Superficial analysis suggested 99.9% mercury load reduction post-remediation.
  • Accounting for weaker storms during postremediation monitoring revealed weather reduced loads by a factor of 73-85.
  • Actual remediation effectiveness was calculated at 92-93%, not 99.9%.

Conclusions:

  • Contaminant rating curves offer a superior method for assessing remediation effectiveness by normalizing for external drivers.
  • Environmental remediation assessments must rigorously account for confounding factors, especially in systems with episodic forcing.
  • This approach ensures a more realistic understanding of cleanup success and resource allocation.