ANN-Based Estimation of Groundwater Quality Using a Wireless Water Quality Network | Zendy

Yılmaz Kiliçaslan | Zendy; Gürkan Tuna | Zendy; Gülsüm Gezer | Zendy; Kayhan Gülez | Zendy; Orhan Arkoç | Zendy; Stelios M. Potirakis | Zendy

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ANN-Based Estimation of Groundwater Quality Using a Wireless Water Quality Network

Author(s) -

Yılmaz Kiliçaslan,

Gürkan Tuna,

Gülsüm Gezer,

Kayhan Gülez,

Orhan Arkoç,

Stelios M. Potirakis

Publication year - 2014

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2014/458329

Subject(s) - computer science , quality (philosophy) , water quality , wireless network , groundwater , set (abstract data type) , artificial neural network , wireless , estimation , artificial intelligence , telecommunications , systems engineering , ecology , philosophy , geotechnical engineering , epistemology , engineering , biology , programming language

Water is essential for life. Considering its importance for humans, it must be periodically analyzed to ensure its quality. In this study, a wireless water quality network is deployed to collect water quality parameters periodically and an artificial neural network-based estimation method is proposed to estimate groundwater quality. Estimating groundwater quality enables the authorities to take immediate actions for ensuring water quality. Compared to traditional water quality analysis methods, the proposed method has the advantage of letting the authorities know the quality of their water resources beforehand. A set of simulation studies given in this paper proves the efficiency and accuracy of the proposed method.

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