ADMI, LLC 3620 Pelham Rd. PMB 351, Greenville, SC 29615    (843) 513-2130
Utility Operations & Water Security
Water Resources, Ecology, & Climate Change
  1. Interpreting real-time online monitoring data for water quality event detection
    2013, Roehl, E.A., Cook, J.B., Daamen, R.C., Mundry, U.H.,
    Water Research Foundation Project # 4182, in publication.
  2. Estimating seawater intrusion impacts on coastal intakes as a result of climate change
    2013, Roehl, E.A., Cook, J.B., Daamen, R.C
    Journal – American Water Works Association, November, 2013
  3. Control nitrification with online monitoring
    2012, Cook, J.B., Roehl, E.A., Daamen, R.C., 2012
    American Water Works Assoc. Opflow, 38(8), 20-22
  4. Causes of false alarms in inferential event detection systems for distribution system water quality monitoring
    2011, Roehl, E.A., Cook, J.B., Daamen,R.C., Mundry, U.H,
    Proc. American Water Works Assoc. Water Quality Technology Conf., Phoenix, November 2011.
  5. Feasibility testing of support systems to prevent upsets
    2009, Shaw, A., Love, N., Roehl, E., Earle, J., Fairey, A., Cook, J., Daamen, R., Harris, R., Udah, D., Pinto, A., Barr, D. deBarbadillo, C., Hawkins, J., Olsson, G., Watts, J
    Report for Water Environment Research Foundation Project # 03-CTS-7S
  6. Distribution system security and water quality improvement through data mining
    2008, Cook, J., Daamen, R., Roehl, E., Cho, S., Carlson, K., Byer, D., Byrne, J., and Cline, M.,
    Report for American Water Works Research Foundation Project # 3086
  7. Non-linear, multivariate forecasting of hydrologic and anthropogenic responses to meteorological forcing with case studies
    2006, Roehl, E., Murray, T
    Proc. Intn'l. Environmental Modeling and Software Society Summit, Burlington VT, June 2006
  8. The role of artificial neural network models in developing a regional wastewater treatment plant for Beaufort, SC, USA
    2006, Conrads, P.A., Roehl, E.A., Martello, W., Saxon, E
    Proc. Intn'l. Environmental Modeling and Software Society Summit, Burlington VT, June 2006
  9. Distribution system monitoring research at Charleston Water System
    2006, Cook, J., Byrne, J., Daamen, R., Roehl, E.
    Proc. American Society of Civil Engineers Symposium on Water Distribution System Analysis, Cincinnati, August 2006.
  10. Online instrumentation to protect wastewater facilities from toxic chemicals
    2006, Shaw, A., Fairey, A., Earle, J., Love, N., Roehl, E., Daamen, R., Olsson, G., and Watts, J., Proc. Water Environment Federation Technical Exhibition and Conference, Dallas, October 2006.
  11. Forecasting Water User Demand at Beaufort-Jasper Water and Sewer Authority
    2005, Roehl, E.A., Jr., Murray, T.
    Proc. 2005South Carolina Environmental Conference, North Myrtle Beach, South Carolina, March 2005
  12. Decision support system for water distribution system monitoring for homeland security
    2005, Cook, J., Roehl, E., Daamen, R., Carlson, K., Byer, D
    Proc. American Water Works Assoc. Water Security Congress, Oklahoma City, October 2005.
  13. Real-time control for matching wastewater discharges to the assimilative capacity of a complex, tidally affected river basin
    1999, Roehl, E.A., Conrads, P.A.
    Proc. South Carolina Environmental Conf., Myrtle Beach, March 1999,
  1. Simulation of the effects of rainfall and groundwater use on historical lake water levels, groundwater levels, and spring flows in Central Florida
    2013, O'Reilly, A.O., Roehl, E.A., Conrads, P.A., Daamen, R.C., and Petkewich
    U.S. Geological Survey Scientific Investigations Report 2013-XXXX (in publication)
  2. Simulation of salinity intrusion along the Georgia and South Carolina coasts using climate-change scenarios
    2013, Conrads, P.A., Roehl, E.A., Daamen, R.C., and Cook, J.B.
    U.S. Geological Survey Scientific Investigations Report 2013–5036
  3. Estimating salinity effects due to climate change on the Georgia and South Carolina coasts
    2012, Roehl, E.A., Daamen, R.C., Cook, J.B, Sexton
    Report for Water Research Foundation Project #4285, December, 2012.
  4. Changes in the availability of freshwater along the South Carolina and Georgia Coast due to potential climate change scenarios
    2012, Conrads, P.A., Roehl, E.A., Daamen, R.C., Cook, J.B., Whitehead, J., Tufford, D., Carbone, G., Dow,K
    Proc. South Carolina Water Resources Conf., Columbia, SC, October 2012
  5. Quantification of water-level variability effect on plant species populations using paleoecological and hydrological time series data
    2012, Roehl, E.A., Conrads, P.A., Bernhardt, C.
    Proc. South Carolina Water Resources Conf., Columbia, SC, October 2012
  6. Data mining to predict climate and groundwater use impacts on the hydrology of Central Florida
    2012, Roehl, E.A., O’Reilly, A.M., Conrads, P.A., Daamen, R.C.
    Proc. South Carolina Water Resources Conf., Columbia, SC, October 2012
  7. Simulation of specific conductance and chloride concentration in Abercorn Creek, Georgia Conrads, P.A., Roehl, E.A., Davie, S.R.
    2011
    U.S. Geological Survey Scientific Investigations Report 2011-5074,
  8. Development of inferential sensors for real-time quality control of water-level data for the Everglades Depth Estimation Network
    2010, Daamen, R.C., Roehl, E.A., Conrads, P.A.
    South Carolina Water Resources Conf., Columbia, SC, October 2010
  9. Data mining for water resource management: part 1 - answering contemporary questions with historical databases
    2010, Conrads, P.A., Roehl, E.A., 2010
    Proc. South Carolina Water Resources Conf., Columbia, SC, October 2010,
  10. Data mining for water resource management: part 2 - methods and approaches to solving contemporary problems
    2010, Roehl, E.A., Conrads, P.A.
    Proc. South Carolina Water Resources Conf., Columbia, SC, October 2010,
  11. Estimating salinity intrusion effects due to climate change along the Grand Strand of the South Carolina coast
    2010, Conrads, P.A., Roehl, E.A., Jr., Sexton, C.T., Tufford, D.L., Carbone, G.J., Dow, K, Cook, J.B.
    Proc. 4th Federal Interagency Hydrologic Modeling Conference, Las Vegas, June 2010
  12. Estimating salinity intrusion effects due to climate change on the Lower Savannah River estuary
    2010, Conrads, P.A., Roehl, E.A., Jr., Daamen, R.C., Cook, J.B, Sexton, C.T., Tufford, D.L., Carbone, G.J., Dow, K.
    Proc. 2010 South Carolina Environmental Conference, North Myrtle Beach, South Carolina, March 2010
  13. Analysis and simulation of water-level, specific conductance, and total phosphorus dynamics of the Loxahatchee National Wildlife Refuge, Florida
    2010, Conrads, Paul A., Roehl, E.A., Jr.
    U.S. Geological Survey Scientific Investigations Report 2010-5244 Using "big data" to optimally model hydrology and water quality across expansive regions
    2009, Roehl, E., Cook, J., Conrads, P., 2009
    Proc. World Environmental and Water Resources Congress, Great Rivers, Kansas City, May 2009.
  14. Maximizing data collection networks by using data-mining techniques - a case study in the Florida Everglades
    2008, Conrads, P., Daamen, R., Roehl, E.
    Proc. Water Environment Federation Technical Exhibition and Conference (WEFTEC 2008), Chicago, October, 2008.
  15. Hydrologic record extension of water-level data in the everglades depth estimation network (EDEN) using artificial neural network models
    2007, Conrads, Paul A., Roehl, Edwin A., Jr., 2007, U.S. Geological Survey Open-File Report 2007-1350
  16. Visualization and time-series analysis of ground-water data for C-Area, Savannah River Site, South Carolina
    2007, Conrads, Paul A., Roehl, Edwin A., Jr., Daamen, Ruby C., Chapelle, Francis H., Lowery, Mark A., Mundry, Uwe H.
    U.S. Geological Survey Scientific Investigations Report 2007-5140
  17. Analysis of salinity intrusion in the Waccamaw River and Atlantic Intracoastal Waterway near Myrtle Beach, South Carolina
    2007. Conrads, Paul A., Roehl, Edwin A.
    U.S. Geological Survey Scientific Investigations Report 2007-5110,
  18. Integrating 3D hydrodynamic transport and ecological plant models of the Savannah River Estuary using artificial neural network models
    2006, Roehl, E.A., Daamen, R.C., Conrads, P.A., Kitchens, W.M.
    Proc. Intn'l. Environmental Modeling and Software Society Summit, Burlington VT, June 2006
  19. Numerically optimized empirical modeling of highly dynamic, spatially expansive, and behaviorally heterogeneous hydrologic systems – part 1
    2006, Roehl, E., Risley, J., Stewart, J., Mitro, M., 2006
    Proc. Intn'l. Environmental Modeling and Software Society Summit, Burlington VT, June 2006,
  20. Non-linear, multivariate forecasting of hydrologic and anthropogenic responses to meteorological forcing with case studies
    2006, Roehl, E., Murray, T.
    Proc. Intn'l. Environmental Modeling and Software Society Summit, Burlington VT, June 2006,
  21. Simulation of water levels and salinity in the rivers and tidal marshes in the vicinity of the Savannah National Wildlife Refuge, Coastal South Carolina and Georgia U.S
    2006, Conrads, Paul A., Roehl, Edwin A., Daamen, Ruby C., Kitchens, Wiley M.
    Geological Survey Scientific Investigations Report 2006-5187
  22. Transforming large databases into critical knowledge using data mining - three case studies in South Carolina and Georgia
    2006, Conrads, P.A., Roehl, E.A., Jr.
    Proc. Water Environment Technology Exhibition and Conference (WEFTEC 2006), Dallas, October 2006
  23. An artificial neural network-based decision support system to evaluate hydropower releases on salinity intrusion
    2006, Conrads, P.A., Roehl, E.A., Jr.
    Proc. 7th Intn'l. Conf. on Hydroinformatics (HIC 2006), Nice, France, September 2006
  24. Hydrologic modeling using multivariate state space reconstruction
    2006, Roehl, E.A., Jr., Conrads, P.A.
    Proc. 7th Intn'l. Conf. on Hydroinformatics (HIC 2006), Nice, France, September 2006
  25. Estimating water depths using artificial neural networks
    2006, Conrads, P.A., Roehl, E.A., Jr.
    Proc. 7th Intn'l. Conf. on Hydroinformatics (HIC 2006), Nice, France, September 2006
  26. Features of advanced decision support systems for environmental studies, management, and regulation
    2006, Roehl, E.A., Jr., Daamen, R., Conrads, P.A.
    Proc. 7th Intn'l. Conf. on Hydroinformatics (HIC 2006), Nice, France, September 2006
  27. Using artificial neural network models to integrate hydrologic and ecological studies of the snail kite in the Everglades, USA
    2006, Conrads, P.A., Roehl, E.A., Jr., Daamen, R., Kitchens, W.M.
    Proc. 7th Intn'l. Conf. on Hydroinformatics (HIC 2006), Nice, France, September 2006
  28. Numerically optimized empirical modeling of highly dynamic, spatially expansive, and behaviorally heterogeneous hydrologic systems - part 2
    2006, Stewart, J., Mitro, M., Roehl, E., Risley, J.
    Proc. 7th Intn'l. Conf. on Hydroinformatics (HIC 2006), Nice, France, September 2006.
  29. An analysis of statistical methods for seasonal flow forecasting in the Upper Klamath River Basin of Oregon and California
    2005, Risley, J.C., Gannett, M.W., Lea, J.K., Roehl, E.A.
    U.S. Geological Survey Scientific Investigations Report 2005-5177
  30. Integration of data mining techniques with mechanistic models to determine the impacts of non-point source loading on dissolved oxygen in tidal waters
    2005, Conrads, P.A., Roehl, E.A.
    Proc. South Carolina Environmental Conf., March 2005, Myrtle Beach.
  31. Development of an empirical model of a complex, tidally affected river using artificial neural networks
    2003, Conrads, P.A., Roehl, E.A., Martello, W.P.
    National TMDL Science and Policy Specialty Conference, Chicago, November 2003
  32. Estimating water temperatures in small streams in Western Oregon using neural network models
    2002, Risley, J.C., Roehl, E.A., Conrads, P.A.
    U.S. Geological Survey Water-Resources Investigations Report 02-4218
  33. Estimation of tidal marsh loading effects in a complex estuary
    2002, Conrads, P.A., Roehl, E.A., Cook, J.B.
    Proc. American Water Resources Association Annual Conf., New Orleans, 2002
  34. Estimating point-source impacts on the Beaufort River using artificial neural network models
    2002, Conrads, P.A., Roehl, E.A., Martello, W.P.
    Proc. American Water Resources Association Annual Conf., New Orleans, 2002
  35. Real-time control of the salt front in a complex, tidally affected river basin
    2000, Roehl, E.A., Conrads, P.A., Roehl, T.
    Proc. ASME Conference on Artificial Neural Networks in Engineering (ANNIE)
  36. Comparing physics-based and neural network models for simulating salinity, temperature, and dissolved oxygen in a complex, tidally affected river basin 1999, Conrads, P.A. and Roehl, E.A.
    Proc. South Carolina Environmental Conf., Myrtle Beach, March 1999
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