Analysis of methods to estimate spring flows in a karst aquifer

Ground Water

Volumn 47, Issue 3, 2009, Pages 337-349

  Sepúlveda, Nicasio ^a  

^a U S GEOLOGICAL SURVEY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; CONDUIT FLOWS; DARCY-WEISBACH EQUATIONS; EFFICIENCY CRITERION; FLORIDA; KARST AQUIFERS; MODEL PREDICTIONS; MULTIPLE LINEAR REGRESSIONS; OBSERVATION WELLS; ROOT MEAN SQUARE ERRORS; SPRING FLOWS;

AQUIFERS; LANDFORMS; LINEAR REGRESSION; NEURAL NETWORKS; REYNOLDS NUMBER; WATER LEVELS; WELLS;

OPEN CHANNEL FLOW;

AQUIFER; ARTIFICIAL NEURAL NETWORK; ERROR ANALYSIS; FLOW MEASUREMENT; FLOW MODELING; GROUNDWATER FLOW; KARST HYDROLOGY; PREDICTION; REGRESSION ANALYSIS; REYNOLDS NUMBER; SPRING WATER; WATER LEVEL;

ARTICLE; GEOGRAPHY; THEORETICAL MODEL; UNITED STATES; WATER FLOW; WATER SUPPLY;

FLORIDA; GEOGRAPHY; MODELS, THEORETICAL; UNITED STATES; WATER MOVEMENTS; WATER SUPPLY;

FLORIDA [UNITED STATES]; NORTH AMERICA; UNITED STATES;

CENTROSTEGIA THURBERI;

EID: 65449130119     PISSN: 0017467X     EISSN: 17456584     Source Type: Journal    
DOI: 10.1111/j.1745-6584.2008.00498.x     Document Type: Article

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