Urban District-Based Water Quality Mentoring by using IOT

Abstract

Potable water become a scarce resource, due to the combined effects of overpopulation, pollution and climate change. Thus, monitoring the quality of water is very important, especially the water supplied to homes through the liquefaction network. Hence this research that takes place to assess the quality of water supplied to the consumer in a residential neighborhood as an indicator of the quality of river water, the efficiency of water purification plants, and the validity of water transmission pipes in the liquefaction networks. And the analysis of the degree of water salinity, which depends on the electrical conductivity of the water supplied from the main filtration stations in the city of Mosul, which are the new Al-Aysar project and the unified Al-Ayman project, by selecting four sampling sites in the residential neighborhood in a way that covers the geographical area of the neighborhood. Four samples were taken daily with a fixed time difference from any site for a month. All readings were uploaded to Thing Speak cloud space for storage and analysis. The results of the study showed that the water quality is within the natural limits, less than (200 mg/l), and this is evidence that the water quality on both sides of the city is good and suitable for human consumption.

Country : Iraq

1 Basma Arshad Salih2 Dr. Ghassan Jassim Muhammad

  1. Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Iraq
  2. Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Iraq

IRJIET, Volume 6, Issue 12, December 2022 pp. 1-4

doi.org/10.47001/IRJIET/2022.612001

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