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Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran
BACKGROUND: Extensive human activities and unplanned land uses have put groundwater resources of Shiraz plain at a high risk of nitrate pollution, causing several environmental and human health issues. To address these issues, water resources managers utilize groundwater vulnerability assessment and...
Autores principales: | Baghapour, Mohammad Ali, Fadaei Nobandegani, Amir, Talebbeydokhti, Nasser, Bagherzadeh, Somayeh, Nadiri, Ata Allah, Gharekhani, Maryam, Chitsazan, Nima |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977699/ https://www.ncbi.nlm.nih.gov/pubmed/27508082 http://dx.doi.org/10.1186/s40201-016-0254-y |
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