Dordrecht / Myrtle Beach / Chicago / St. Louis / Greenville / /
Company
Neural Networks / Advanced Data Mining International / Federal Interagency Hydrologic Modeling Conference Las Vegas NV / Artificial Neural Networks / Coastal South Carolina / /
Country
Netherlands / United States / / /
Event
Natural Disaster / Environmental Issue / /
Facility
SC Water Science Center / station Figure / University of South Carolina / /
IndustryTerm
estuarine systems / data-mining techniques / real-time streamgaging network / carrier signal / tropical systems / hydrological systems / developed using data-mining techniques / /
NaturalFeature
Waccamaw River / Lower Savannah River / East Coast / Geological Survey Pawleys Island / South Carolina coast / Pee Dee River / River Inlet / Little River Inlet / Beaufort River / Pee Dee / Pawleys Island / Winyah Bay / Dee River / Pee river / United States falls / /
Organization
Water and Sewer Authority / University of South Carolina / SC Water Science Center / Federal Energy Regulatory Commission / /
Person
Psychological Review / John B. Cook / Edwin A. Roehl / Jr. / Charles T. Sexton / Kirstin Dow / Gregory J. Carbone / Daniel L. Tufford / /
Position
Director of Planning / CEO / probabilistic model for information storage / /
ProvinceOrState
Illinois / South Carolina / North Carolina / Georgia / /
Conference Proceedings Paper for the 4th Federal Interagency Hydrologic Modeling Conference Las Vegas, NV June 2010 ESTIMATING SALINITY INTRUSION EFFECTS DUE TO CLIMATE CHANGE ALONG THE GRAND STRAND OF THE SOUTH CAROLINA