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Proposed Correlation Model for Groundwater Level Prediction Based on River Stage Considering Changes in Hydrological and Geological Conditions
Incheol Kim,
Junhwan Lee
Department of Civil and Environmental Engineering
Research output
:
Contribution to journal
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Article
›
peer-review
7
Citations (Scopus)
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Dive into the research topics of 'Proposed Correlation Model for Groundwater Level Prediction Based on River Stage Considering Changes in Hydrological and Geological Conditions'. Together they form a unique fingerprint.
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Engineering
Groundwater Level
100%
Stages
85%
Rivers
85%
Correlation Model
42%
Prediction
28%
Artificial Neural Network
14%
Model Prediction
14%
Predicted Result
14%
Fluctuations
14%
Measured Result
14%
Model Parameter
14%
Measured Value
14%
Subsoil Condition
14%
Design Equation
14%
Yields
14%
Design
14%
Elements
14%
Earth and Planetary Sciences
Condition
42%
Investigation
28%
Prediction
28%
Artificial Neural Network
14%
Water Resources Development
14%
Shape
14%
Response
14%
Time
14%
Variation
14%
Validity
14%
Permeability
14%
Value
14%
Infrastructure
14%
Yield
14%
Adjusting
14%
Soil Pollution
14%