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Groundwater productivity potential mapping using evidential belief function.

Inhye Park1, Yongsung Kim, Saro Lee

  • 1Department of Geoinformatics, University of Seoul, Siripdae-gil 13, Dongdaemun-gu, Seoul 130-743, Republic of Korea.

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Summary
This summary is machine-generated.

The evidential belief function (EBF) model accurately predicted groundwater productivity potential (GPP) in Korean agricultural regions. This GIS-based approach offers a reliable method for identifying areas with high groundwater potential.

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Area of Science:

  • Earth Science
  • Hydrogeology
  • Geographic Information Systems (GIS)

Background:

  • Groundwater resource management is crucial for agricultural regions.
  • Accurate assessment of groundwater productivity potential (GPP) is essential for sustainable water use.
  • Traditional methods may not fully capture the complexities of GPP assessment.

Purpose of the Study:

  • To apply and validate the evidential belief function (EBF) model for GPP analysis in Boryeong and Pohang, Korea.
  • To integrate various geospatial data layers for a comprehensive GPP assessment.
  • To evaluate the predictive accuracy of the EBF model in different geological settings.

Main Methods:

  • Collected and integrated diverse spatial data including topography, geology, soil, and groundwater data.
  • Utilized geographic information systems (GIS) to construct a spatial database.
  • Applied the evidential belief function (EBF) model to quantify relationships between 19 factors and well locations.
  • Performed overlay analysis using EBF-derived factor ratings to generate GPP indices and maps.

Main Results:

  • The EBF model successfully quantified relationships between hydrogeological factors and groundwater productivity.
  • Groundwater productivity potential (GPP) maps were generated for Boryeong and Pohang cities.
  • Achieved high prediction accuracies of 83.41% in Boryeong and 77.53% in Pohang.
  • Demonstrated the effectiveness of the EBF model in assessing GPP.

Conclusions:

  • The evidential belief function (EBF) model is a highly effective tool for GPP assessment.
  • The GIS-based EBF approach provides accurate and reliable groundwater potential maps.
  • This methodology can support sustainable groundwater management in agricultural areas.