Volume 15, Issue 6

IoT-Based System for Real-Time Water Pollution Monitoring in Bangladesh

Author

Sunny Jubayer; Faek Abdee; Fahim Ahmed Tasin; Ahamad Sajid Rejwan; Md Istiaque Ahmed; S M Mustafi; Abrar Zaheen Suham; Md. Shah Jalal Hredoy

Abstract

Water pollution is a big problem in Bangladesh, especially in cities like Dhaka and near industrial areas along the Buriganga River. People still test water using manual methods that take a lot of time and effort. These methods cannot show water quality instantly, so they do not help in quick decision-making. In this study, we build a low-cost water pollution monitoring system using IoT technology. The system continuously checks important water quality factors such as nitrate, ammonia, dissolved oxygen loss, and iron. We use this system to test water from rivers, lakes, and municipal water supplies in urban areas of Bangladesh. We collect data from nine different locations between March and May 2025. The system clearly shows pollution levels in real time. The results show that pollution levels change from place to place. The Buriganga River has very high pollution, with high ammonia and organic waste, while treated municipal water has very low pollution. This system reduces the problems of traditional water testing. It provides a simple, low-cost, and scalable way to monitor water quality and protect the environment.

Keywords: Internet of Things, water pollution, contaminant monitoring, real-time sensing, organic pollution, Bangladesh

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DOI

https://doi.org/10.62226/ijarst20262705

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