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A predictive approach to nutrient criteria.

K H Reckhow1, G B Arhonditsis, M A Kenney

  • 1Nicholas School of the Environment and Earth Sciences, Duke University, Durham, North Carolina 27708, USA. reckhow@duke.edu

Environmental Science & Technology
|June 2, 2005
PubMed
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Total maximum daily loads (TMDLs) aim to improve water quality but can be costly. This study found that well-chosen water quality criteria accurately predict designated use, ensuring efficient resource allocation for water improvement.

Area of Science:

  • Environmental Science
  • Water Quality Management
  • Ecological Risk Assessment

Background:

  • Total maximum daily load (TMDL) implementation is mandated by water quality standard violations.
  • TMDLs aim to restore water quality but can incur substantial economic costs.
  • The effectiveness of TMDLs hinges on the accurate representation of societal values (designated uses) by measurable water quality criteria.

Purpose of the Study:

  • To assess the U.S. EPA's national nutrient criteria strategy.
  • To evaluate the relationship between water quality criteria and designated use attainment.
  • To provide a framework for selecting appropriate water quality criteria based on risk assessment.

Main Methods:

  • Utilized expert elicitation to quantify designated-use attainment in four case studies: Lake Washington, Neuse River Estuary, San Francisco Bay, and Lake Mendota.

Related Experiment Videos

  • Employed structural equation modeling to identify predictors of designated use.
  • Developed a model to link criterion levels (concentrations) to the probability of designated use compliance.
  • Main Results:

    • Identified well-defined water quality criteria as the strongest predictors of designated use attainment.
    • Quantified the relationship between specific criterion levels and the likelihood of meeting designated uses.
    • Demonstrated that the model can estimate the risk associated with different criterion levels.

    Conclusions:

    • Effective water quality criteria are crucial for the successful and cost-efficient implementation of TMDLs.
    • The proposed modeling approach aids decision-makers in selecting risk-informed water quality criteria.
    • Accurate criteria ensure that limited resources for water quality improvement are allocated effectively to achieve societal goals.