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Boknam Lee, Seth W Kullman, Erin Yost, Michael T Meyer, Lynn Worley-Davis, C Michael Williams and Kenneth H Reckhow A Bayesian network model for assessing natural estrogen fate and transport in a swine waste lagoon Integrated Environmental Assessment and Management 10

Version of Record online: 8 JUL 2014 | DOI: 10.1002/ieam.1538

Key Points

  • A Probabilistic Bayesian network model was developed to assess natural estrogen fate and budget from a commercial swine field site, a major reservoir of natural estrogens that could potentially produce adverse effects on nearby wildlife.
  • The model was able to describe the estrogen fate and budget in both the slurry and sludge stores within the swine lagoon.
  • Management scenario evaluations demonstrated that the best possible management options to reduce estrogen levels in the lagoon are either to adjust the estrogen input loading from swine barn facilities, or to effectively enhance estrogen bonding with suspended solids through the use of organic polymers or inorganic coagulants.

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