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Features of Advanced Decision Support Systems for Environmental Studies, Management, and Regulation , Edwin A. Roehl, Jr., Paul Conrads, Ruby C. Daamen
http://sc.water.usgs.gov/publications/pdfs/HIC2006_DSS.pdf
Transforming Large Databases into Critical Knowledge Using Data Mining – Three Case Studies in South Carolina and Georgia, Paul Conrads, Edwin A. Roehl, Jr.
http://sc.water.usgs.gov/publications/pdfs/WEFTEC06_3CaseStudies.pdf
Development of an Empirical Model of a Complex, Tidally Affected River Using Artificial Neural Networks, Paul Conrads, Edwin A. Roehl, Jr., William B. Martello
http://sc.water.usgs.gov/publications/abstracts/TMDL0301a1-Abstract.html
Integration of Data Mining Techniques with Mechanistic Models to Determine the Impacts of Non-Point Source Loading on Dissolved Oxygen in Tidal Waters, Paul Conrads, Edwin A. Roehl, Jr.
http://www.sc-ec.org/PDFs/2005SCEC/18-4%20Using%20Data%20Mining%20Techniques.pdf
Estimating Water Temperatures In Small Streams in Western Oregon Using Neural Network Models, Risley, John C.; Roehl, Edwin A., Jr.; Conrads, Paul A.
http://pubs.er.usgs.gov/usgspubs/wri/wri024218
An Artificial Neural Network-Based Decision Support System to Evaluate Hydropower Releases on Salinity Intrusion, Conrads, Paul A.; Roehl, Edwin A., Jr
http://sc.water.usgs.gov/publications/pdfs/HIC2006_PeeDee.pdf
Estimating Water Depths Using Artificial Neural Networks, Conrads, Paul A.; Roehl, Edwin A., Jr.
http://sc.water.usgs.gov/publications/pdfs/HIC2006_EDEN.pdf
Integrating 3D Hydrodynamic Transport and Ecological Plant Models of the Savannah River Estuary Using Artificial Neural Network Models, Ruby C. Daamen; Edwin A. Roehl, Jr.; Paul A. Conrads; Wiley M. Kitchens
http://sc.water.usgs.gov/publications/pdfs/HIC2006_M2M.pdf
Using Artificial Neural Network Models To IntegrateE Hydrologic And Ecological Studies of the Snail Kite in the Everglades, USA, Conrads, Paul A.; Roehl, Edwin A., Jr.; Ruby C. Daamen; Wiley M. Kitchens
http://sc.water.usgs.gov/publications/pdfs/HIC2006_SnailKite.pdf
Numerically Optimized Empirical Modeling of Highly Dynamic, Spatially Expansive, and Behaviorally Heterogeneous Hydrologic Systems with Examples Edwin Roehl, John Risley, Jana Stewart, Matthew Mitro
http://www.iemss.org/iemss2006/papers/s9/136_Roehl_1.pdf
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