JULY 13, 2018 — Annie Gibbs (OR&R ARD) co-authored a journal article that was judged to be the best paper published in 2017 in the scientific journal Integrated Environmental Assessment and Management.
The article, titled “A general risk-based adaptive management scheme incorporating the Bayesian network Relative Risk Model with the South River, Virginia, as case study,” discusses the development and application of a probabilistic adaptive management approach for the South River, a mercury contaminated site in Virginia. The South River and its 607.6 km watershed are located in the Shenandoah Valley of Virginia. It serves as habitat for many fish and avian species, and also has multiple human uses including recreational boating, swimming, and fishing. Historic mercury deposition occurred in the South River in Waynesboro from a former DuPont facility (1929-1950).
Full citation for the publication:
Landis WG, Markiewicz AJ, Ayre KK, Johns (Gibbs) AF, Harris MJ, Stinson JM, Summers HM. 2017. A general risk-based adaptive management scheme incorporating the Bayesian network Relative Risk Model with the South River, Virginia, as case study. Integr Environ Assess Manag. 13:115-126.
For additional information contact Annie.Gibbs@noaa.gov.