NDLI: Prediction of water pollution sources using artificial neural networks in the study areas of Sivas, Karabük and Bartın (Turkey)

Content Provider	Springer Nature Link
Author	Keskin, Tülay Ekemen Düğenci, Muharrem Kaçaroğlu, Fikret
Copyright Year	2014
Abstract	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 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.
Starting Page	5333
Ending Page	5347
Page Count	15
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	73
Issue Number	9
e-ISSN	18666299
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-10-18
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hydrogeochemistry Water contamination Artificial neural networks (ANNs) Bee algorithm Turkey Geology Hydrology/Water Resources Geochemistry Environmental Science and Engineering Terrestrial Pollution Biogeosciences
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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