{
  "id": 7963,
  "url": "https://doi.org/10.1186/s40201-016-0254-y",
  "title": "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",
  "summary": "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 determination of protection. This study aimed to prepare the vulnerability maps of Shiraz aquifer by using Composite DRASTIC index, Nitrate Vulnerability index, and artificial neural network and also",
  "authors": "Mohammad Ali Baghapour, Amir Fadaei Nobandegani, Nasser Talebbeydokhti, Somayeh Bagherzadeh, Ata Allah Nadiri, Maryam Gharekhani",
  "category": "research",
  "topics": "healthcare,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2016-07-26T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:30.799Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7963",
  "original_url": "https://doi.org/10.1186/s40201-016-0254-y",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}