Andrew Gronewold

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Pre-GLERL Publications:
  • Gronewold, A.D., D.A. Vallero, 2010. New applications of Bayes' theorem for predicting environmental damage. Yearbook of Science and Technology, McGraw-Hill Professional.
  • Gronewold, A.D., M.E. Borsuk, 2009. A software tool for translating deterministic model results into probabilistic assessments of water quality standard compliance. Environmental Modelling & Software, 24(10), 1257-1262.
  • Gronewold, A.D., S.S. Qian, R.L. Wolpert, and K.H. Reckhow, 2009. Calibrating and Validating Bacterial Water Quality Models: A Bayesian Approach. Water Research, 43(10), 2688-2698.
  • Gronewold, A.D., M.E. Borsuk, R.L. Wolpert, and K.H. Reckhow, 2008. An Assessment of Fecal Indicator Bacteria-Based Water Quality Standards. Environmental Science & Technology, 42(13), 4676-4682.
  • Gronewold, A.D., R.L. Wolpert, 2008. Modeling the Relationship Between Most Probable Number (MPN) and Colony-Forming Unit (CFU) Estimates of Fecal Coliform Concentration. Water Research, 42(13), 3327-3334.
  • Gronewold, A.D., A.D. Coulliette, R.T. Noble, R.L. Wolpert, K.H. Reckhow, 2007. Pollutant-specific TMDLs: Developing a Bayesian network model for supporting fecal coliform TMDL assessments. In conference proceedings, Water Environment Federation Specialty Conference - TMDL 2007, Bellevue, Washington, USA.
  • Loarie, S.R., S. Chakraborty, K. Dexter, A. Fleming-Davies, A. Gronewold, J. Liu, A. McBride, E. Pollina, 2007. Density dependence and population growth: evaluating classical and Bayesian approaches to parameter estimation and model selection. In J.S. Clark, "Statistical computation for environmental sciences in R". Princeton University Press.
  • A.D. Coulliette, Gronewold, A.D., E. Money, M. Serre, R.T. Noble, 2007. Examining the Relationship Between Wet Weather and Fecal Contamination in a North Carolina Estuary. In conference proceedings, Water Environment Federation Specialty Conference - TMDL 2007, Bellevue, Washington, USA.
  • Gronewold, A.D., K.H. Reckhow, 2007. Developing a Bayesian network model for bacteriologically impaired surface waters. In conference proceedings, WaterMatex, Washington, D.C., USA.
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Last updated: 2009-03-09 gl