Development of an Arduino-Based Water Quality Monitoring System Using Turbidity Sensor

Year : 2026 | Volume : 13 | Issue : 01 | Page : 26 31
    By

    Kunal Gokul Bankar,

  • Sayali Madhukar Shelke,

  • Krutika Shamkant Surade,

  • Rohan Chandrakant Watekar,

  • Naveen Kumar,

  1. Assistant Professor, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharastra, India
  2. Assistant Professor, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharastra, India
  3. Assistant Professor, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharastra, India
  4. Assistant Professor, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharastra, India
  5. Assistant Professor, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharastra, India

Abstract

Clean drinking water is essential for human health since dirty water can lead to serious diseases such as diarrhoea, cholera and typhoid and long-term diseases such as kidney damage, cancer and child development problems. Though hard water is less dangerous, it causes dry skin and kidney stones and saline water causes high blood pressure. The Water Quality Monitoring System exists as a solution against existing water safety issues. The system uses an Arduino Uno as the controller and a turbidity sensor for water clarity measurement. The sensor provides readings in Nephelometric Turbidity Units (NTU), classifying water quality as clean (0–5 NTU), slightly dirty (5–50 NTU), cloudy (50–100 NTU) or heavily contaminated (above 100 NTU). The system is efficient in detecting unsafe water by sensing high turbidity readings, enabling people to take measures before consumption. The device can be highly effective for household use, rural areas, schools and water quality problem areas. Moreover, its integration into water coolers in institutions can be an effective method of performing continuous water quality monitoring, maintaining public health and safety.

Keywords: Water quality monitoring, turbidity sensor, Arduino Uno, clean drinking water, water safety, NTU measurement, public health

[This article belongs to Journal of Water Pollution & Purification Research ]

How to cite this article:
Kunal Gokul Bankar, Sayali Madhukar Shelke, Krutika Shamkant Surade, Rohan Chandrakant Watekar, Naveen Kumar. Development of an Arduino-Based Water Quality Monitoring System Using Turbidity Sensor. Journal of Water Pollution & Purification Research. 2026; 13(01):26-31.
How to cite this URL:
Kunal Gokul Bankar, Sayali Madhukar Shelke, Krutika Shamkant Surade, Rohan Chandrakant Watekar, Naveen Kumar. Development of an Arduino-Based Water Quality Monitoring System Using Turbidity Sensor. Journal of Water Pollution & Purification Research. 2026; 13(01):26-31. Available from: https://journals.stmjournals.com/jowppr/article=2026/view=238461


References

  1. World Health Organization, “Water shortage in the Philippines threatens sustainable development and health,” Mar. 22, 2019. [Online]. Available: https://www.who.int/philippines/news/feature-stories/detail/water-shortage-in-the-philippines-threatens-sustainable-development-and-health
  2. Manikandan and R. Haritha, “Smart Water Quality Monitoring with IoT Wireless Sensor Networks,” International Journal of Engineering Research & Technology (IJERT), vol. 7, no. 4, pp. 245–248, Apr. 2018.
  3. A. Cloete, R. Malekian, and L. Nair, “Design of smart sensors for real-time water quality monitoring,” IEEE Access, vol. 4, pp. 3975–3990, 2016, doi: 10.1109/ACCESS.2016.2592958.
  4. Kamaludin and M. Ismail, “IoT-based system for water quality monitoring,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 8, no. 10, pp. 123–128, 2017. [Online]. Available: https://doi.org/10.14569/IJACSA.2017.081017
  5. Banzi and M. Shiloh, Getting Started with Arduino, 3rd ed. Sebastopol, CA, USA: Maker Media, Inc., 2014.
  6. United States Environmental Protection Agency, “Turbidity: Water quality standards criteria summaries,” 2021. [Online]. Available: https://www.epa.gov/
  7. Arduino, “Arduino Uno Rev3,” [Online]. Available: https://store.arduino.cc/products/arduino-uno-rev3
  8. Arduino, “Arduino Uno Rev34,” [Online]. Available: https://store.arduino.cc/products/arduino-uno-rev3
  9. DFRobot, “Gravity: Analog Turbidity Sensor For Arduino,” [Online]. Available: https://wiki.dfrobot.com/Gravity__Analog_Turbidity_Sensor_SKU_SEN0189_
  10. Electronics Hub, “Interfacing 16×2 LCD with Arduino,” 2021. [Online]. Available: https://www.electronicshub.org/interfacing-16×2-lcd-with-arduino-uno/
  11. Rajesh, “Measuring turbidity of water to determine water quality using Arduino and turbidity sensor,” Circuit Digest, Mar. 9, 2024. [Online]. Available: https://circuitdigest.com/microcontroller-projects/measuring-turbidity-of-water-to-determine-water-quality-using-arduino-turbidity-sensor
  12. Rajalakshmi and S. Banu, “Design and Implementation of a Wireless Sensor Network for Water Quality Monitoring in India,” International Journal of Computer Applications, vol. 1, no. 22, pp. 6–12, 2010.
  13. B. Mahale, A. G. Kothari, and A. B. Bagade, “Smart Water Quality Monitoring System,” International Research Journal of Engineering and Technology (IRJET), vol. 3, no. 5, pp. 2395–0056, 2016.
  14. Harshini and M. K. Kavitha, “IoT Based Water Quality Monitoring System Using Arduino,” International Journal of Engineering Research & Technology (IJERT), vol. 7, no. 4, Apr. 2018.
  15. A. Nadaf and A. M. Walke, “Water Quality Monitoring System Based on IoT,” International Journal of Innovative Research in Computer and Communication Engineering, vol. 5, no. 4, Apr. 2017.
  16. Raut and D. Gade, “A Review Paper on Water Quality Monitoring System Using IoT,” International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), vol. 4, no. 3, pp. 870–874, 2018.
  17. Tripathi and N. Jain, “Development of Low Cost Water Quality Monitoring System Using IoT and Arduino,” in Proc. 2nd Int. Conf. on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021, pp. 680–684.
  18. Kaur and R. Kumar, “Water Quality Monitoring System Based on IoT Using Arduino,” International Journal of Advanced Research in Computer Science, vol. 9, no. 2, pp. 567–571, 2018.
  19. Sharma and D. Sinha, “Design of a Water Quality Monitoring System Using Arduino,” in Proc. 4th Int. Conf. on Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India, 2019, pp. 1–6, doi: 10.1109/IoT-SIU.2019.8777510.
  20. [20] A. K. Gupta, A. A. Farooqui, and A. Vyas, “Smart Water Quality Monitoring System Using IoT and Machine Learning,” International Journal of Computer Applications, vol. 180, no. 48, pp. 1–5, 2018.
  21. Rajratna A. Naranje, Kalyan J. Kale, Pranav Kumar P. Chavan, Omkar A. Shirke, Kiran N. Wakchaure, and Naveen Kumar, “Doodle Bot: An Advanced Robot to Draw Complex Geometrical Shapes,” in Proc. 2024 4th Int. Conf. Innovative Practices in Technology and Management (ICIPTM), doi: 10.1109/ICIPTM59628.2024.10563881.
  22. A. Naranje, K. J. Kale, P. P. Chavan, V. Kumar, and N. Kumar, “Development of 5 Axis Robotic Manipulator for Material Handling and Sorting,” Adv. Transdiscipl. Eng., vol. 58, pp. 547–553, 2024, doi: 10.3233/ATDE240672.

Regular Issue Subscription Original Research
Volume 13
Issue 01
Received 24/02/2026
Accepted 27/02/2026
Published 10/03/2026
Publication Time 14 Days


Login


My IP

PlumX Metrics