Internet of Things (IoT) and Artificial Neural Networks Towards Water Pollution Forecasting

Thaer Ibrahim*,**, Alok Mishra**,***
*Iraqi Federal Board of Supreme Audit, Baghdad, Iraq; **Atilim University, Ankara, Turkey; ***Molde University College-Specialized University in Logistics, Norway
corresponding author’s e-mail: Ten adres pocztowy jest chroniony przed spamowaniem. Aby go zobaczyć, konieczne jest włączenie w przeglądarce obsługi JavaScript.; Ten adres pocztowy jest chroniony przed spamowaniem. Aby go zobaczyć, konieczne jest włączenie w przeglądarce obsługi JavaScript.

Abstract
Water could be some-times a source of danger on people's lives and property. Although it is one of the most important elements of life on this planet. This article define the threat of water pollution in Tigris River in Iraq. by collecting a data that generated by sensors that installed in a water pollution sensing project in Baghdad city, also this article aimed to detect and analyze the behavior of water environment. It is an effort to predict the threat of pollution by using advanced scientific methods like the technology of Internet of Things (IoT) and Machine learning in order to avoid the threat and/or minimize the possible damages. This can be used as a proactive service provided by E-governments towards their own citizens.

Keywords
Internet of Things, E-government, Water Pollution prediction, Tigris River, Artificial Neural Network

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