Prediction of water pollution sources using artificial neural networks in the study areas of Sivas, Karabuk and Bartin (Turkey)

Basit Öğe Kaydı
dc.contributor.authorKeskin, Tulay Ekemen
dc.contributor.authorDugenci, Muharrem
dc.contributor.authorKacaroglu, Fikret
dc.date.accessioned2024-09-29T15:54:39Z
dc.date.available2024-09-29T15:54:39Z
dc.date.issued2015
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe determination of the rock types from which the water is recharged/discharged is an essential component of hydrochemical, hydrogeological and water pollution studies. Especially, detection of sources of groundwater contamination is very important in terms of human health and other living organism. This study aims at prediction of water pollution sources using artificial neural networks (ANNs) in Sivas, Karabuk and Bartin areas of Turkey, which have different types of rocks, agricultural activity and mining activity. In this study, a model based on ANNs was developed for forecast to the water discharging from different types of rocks and the water pollution sources in the study areas. Back propagation and Bee Algorithm (BA) were used in ANN training. For achieving the aim of the study, 14 hydrochemical data set were used. The best ANN classification of water discharging from different type of rocks was accomplished with 80 % accuracy using BA. These results indicate that the researches that are similar to this study can provide quite convenience for the assessment of groundwater pollution sources when applied on a large and regional scale.en_US
dc.description.sponsorshipCumhuriyet University Scientific Research Projects Commission (CUBAP)en_US
dc.description.sponsorshipThe authors would like to thank the Cumhuriyet University Scientific Research Projects Commission (CUBAP) for providing financial support for all research projects performed in Sivas, Karabuk and Bartin areas.en_US
dc.identifier.doi10.1007/s12665-014-3784-6
dc.identifier.endpage5347en_US
dc.identifier.issn1866-6280
dc.identifier.issn1866-6299
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-84939933642en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage5333en_US
dc.identifier.urihttps://doi.org/10.1007/s12665-014-3784-6
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4205
dc.identifier.volume73en_US
dc.identifier.wosWOS:000353803600046en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEnvironmental Earth Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHydrogeochemistryen_US
dc.subjectWater contaminationen_US
dc.subjectArtificial neural networks (ANNs)en_US
dc.subjectBee algorithmen_US
dc.subjectTurkeyen_US
dc.titlePrediction of water pollution sources using artificial neural networks in the study areas of Sivas, Karabuk and Bartin (Turkey)en_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu