The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping Article

Bordbar, Mojgan, Khosravi, Khabat, Murgulet, Dorina et al. (2022). The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping . ENVIRONMENTAL EARTH SCIENCES, 81(15), 10.1007/s12665-022-10534-2

International Collaboration

cited authors

  • Bordbar, Mojgan; Khosravi, Khabat; Murgulet, Dorina; Tsai, Frank T-C; Golkarian, Ali

sustainable development goals

authors

publication date

  • August 1, 2022

published in

keywords

  • ARTIFICIAL-INTELLIGENCE APPROACH
  • CLASSIFICATION
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • GALDIT index
  • GIS
  • Geology
  • Geosciences, Multidisciplinary
  • Groundwater
  • Hybrid models
  • LANDSLIDE SUSCEPTIBILITY
  • Life Sciences & Biomedicine
  • Machine learning
  • Physical Sciences
  • RISK
  • SALTWATER INTRUSION
  • SEAWATER INTRUSION
  • SPATIAL PREDICTION
  • Science & Technology
  • TREE
  • Vulnerability assessment
  • Water Resources

Digital Object Identifier (DOI)

publisher

  • SPRINGER

volume

  • 81

issue

  • 15