Prediction of water pollution sources using artificial neural networks in the study areas of Sivas Karabük and Bartın Turkey
Yazarlar (3)
Prof. Dr. Tülay EKEMEN KESKİN Karabük Üniversitesi, Türkiye
Prof. Dr. Muharrem DÜĞENCİ Karabük Üniversitesi, Türkiye
Fikret Kaçaroğlu
Muğla Sıtkı Koçman Üniversitesi, Türkiye
Muğla Sıtkı Koçman Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Environmental Earth Sciences (Q4) | ||
| Dergi ISSN | 1866-6280 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2015 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 18-10-2014 |
| Cilt / Sayı / Sayfa | 73 / 9 / 5333–5347 | DOI | 10.1007/s12665-014-3784-6 |
| Makale Linki | http://link.springer.com/10.1007/s12665-014-3784-6 | ||
| UAK Araştırma Alanları |
Hidrojeoloji
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| Özet |
| The 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, Karabük and Bartın 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 … |
| Anahtar Kelimeler |
| Artificial neural networks (ANNs) | Bee algorithm | Hydrogeochemistry | Turkey | Water contamination |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 51 |
| Scopus | 54 |
| Google Scholar | 70 |