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Protocol for the estimation of drinking water quality index (DWQI) in water resources: Artificial neural network (ANFIS) and Arc-Gis

Drinking water sources may be polluted by various pollutants depending on geological conditions and agricultural, industrial, and other human activities. Ensuring the safety of drinking water is, therefore, of a great importance. The purpose of this study was to assess the quality of drinking ground...

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Enregistré dans:
Détails bibliographiques
Publié dans:MethodsX
Auteurs principaux: RadFard, Majid, Seif, Mozhgan, Ghazizadeh Hashemi, Amir Hossein, Zarei, Ahmad, Saghi, Mohammad Hossein, Shalyari, Naseh, Morovati, Roya, Heidarinejad, Zoha, Samaei, Mohammad Reza
Format: Artigo
Langue:Inglês
Publié: Elsevier 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6517571/
https://ncbi.nlm.nih.gov/pubmed/31193115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mex.2019.04.027
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