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Groundwater / Hydrograph / Surficial aquifer / Water table / Water resources / Floridan Aquifer / St. Johns River / Evapotranspiration / Spring / Water / Hydrology / Earth


Data Mining to Predict Climate and Groundwater Use Impacts on the Hydrology of Central Florida Edwin A. Roehl, Jr.1, Andrew M. O’Reilly2, Paul A. Conrads3, and Ruby C. Daamen1: 1Advanced Data Mining Services, Greer, SC
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Document Date: 2014-01-16 13:38:35

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File Size: 2,12 MB

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City

Survey / Orlando / Greer / /

Company

Rizzoli A.E. / Microsoft / Columbia SC South Carolina Water Resources / /

Country

Columbia / /

Event

Product Recall / Natural Disaster / Product Issues / /

IndustryTerm

neural networks / data mining / phosphate mining / aquifer systems / decision support systems / /

NaturalFeature

Surficial aquifer / Floridan aquifer / /

Organization

National Oceanic and Atmospheric Administration / Burlington / Orlando FL / U.S. Government / Software / International Environmental Modelling and Software Society / Columbia SC / /

Person

Max Min / Edwin A. Roehl / Jr. / /

Product

percent of the total amount / /

ProgrammingLanguage

Ruby / /

ProvinceOrState

South Carolina / Vermont / Florida / /

Region

Central Florida / Southwest Florida / South Florida / /

Technology

Data Mining / simulation / decision support system / artificial intelligence / /

SocialTag