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Integrated Artificial Neural Network Modeling and GIS for Identification of Important Factor on Groundwater Hydrochemistry (Fe-,Ca2+ and PO4-3)

  • RaheliNamin B
  • et al.
Archives of Hygiene Sciences (2018) 7(2) 126-133
DOI: 10.29252/archhygsci.7.2.126
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Abstract

…the vegetable fields were considered the principal factor of nitrate pollution in the …Assessing of regional vulnerability of groundwater pollution for measures management is an …These ways have successfully represented their capability in groundwater hydrochemistry mapping of …

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APA

RaheliNamin, B., & Mohseni, B. (2018). Integrated Artificial Neural Network Modeling and GIS for Identification of Important Factor on Groundwater Hydrochemistry (Fe-,Ca2+ and PO4-3). Archives of Hygiene Sciences, 7(2), 126–133. https://doi.org/10.29252/archhygsci.7.2.126

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