Development of IoT Based Water Pollution Identification to Avoid Destruction of Aquatic Life and to Improve the Quality of Water

Development of IoT Based Water Pollution Identification to Avoid Destruction of Aquatic Life and to Improve the Quality of Water
  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-10
Year of Publication : 2023
Author : R. Amuthakkannan, Mahmood Hamed Awadh Al Yaqoubi
DOI : 10.14445/22315381/IJETT-V71I10P232

How to Cite?

R. Amuthakkannan, Mahmood Hamed Awadh Al Yaqoubi, "Development of IoT Based Water Pollution Identification to Avoid Destruction of Aquatic Life and to Improve the Quality of Water," International Journal of Engineering Trends and Technology, vol. 71, no. 10, pp. 355-370, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I10P232

Abstract
Water pollution is a serious global environmental issue that is still growing rapidly due to the massive development in the industrial field and the increased human activities. Changes in the physico-chemical properties of water affect its quality due to contamination. Polluted water results in severe impacts on public health and the environment, which will cause the spread of dangerous diseases and the destruction of aquatic life. Due to these reasons, a functional and smart method for monitoring water quality is essential to detect water pollution. Therefore, this study aims to implement Internet of Things (IoT) technology for monitoring water quality by using a Remote Control (RC) boat to provide real-time monitoring of water quality of different parameters by providing GPS locations. Previous research in monitoring water quality was reviewed and included in this study to be evaluated and compared with the proposed smart method of monitoring water quality. The RC boat will contain a system designed to have three sensors (pH, temperature and turbidity) and a GPS module integrated with a built-in Sim card, which transfers the measured parameters of water quality and GPS locations to the server, which can then be monitored using a phone application. The experimentation of the RC boat was conducted in three spots to identify different parameters. As a result, the overall water quality of the natural creek does not meet the water quality standards as determined by the World Health Organization (WHO) and is highly contaminated. This project is a smart water quality monitoring technique which is expected to contribute to detecting and controlling water pollution problems worldwide since traditional water quality monitoring is considered a challenge and might be inaccurate.

Keywords
Water pollution, Physico-chemical properties of water, Water quality, IOT technology, Real-time monitoring, Aquatic life.

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