Design and Simulation of an Iot-Based Water Quality Monitoring System

Providing safe water to citizens in cities and towns is crucial. However, water quality can fluctuate at any time due to pollution, increasing population, and pipeline defects. Traditional water testing methods are time-consuming and can't deliver real-time results, so issues in water quality may not be noticed promptly. This project creates an IoT-based smart water quality monitoring system that uses sensors to measure critical factors such as pH, turbidity, temperature, and TDS. These sensors are linked to an ESP32 that gathers data and transmits it to the internet via MQTT. Wokwi simulation was utilized to design and test the system. This allows verification of the system's operation without the need for physical hardware. Data can be displayed on a mobile or web dashboard, allowing city officials to check water quality constantly. If water quality parameters exceed safe levels, the system will send alerts to enable prompt action from authorities. The system is economical, simple, and appropriate for smart city applications. In summary, this project demonstrates the simplicity, speed, and reliability that IoT can bring to water monitoring.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-12
DOI
https://doi.org/10.5281/zenodo.20133487
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

Design and Simulation of an Iot-Based Water Quality Monitoring System

Sowjanya V, Manikumar Vatti, Pranav Raj N S, Karthik Chengalvala
Zenodo (CERN European Organization for Nuclear Research)
Water Quality Monitoring Technologies
article

Design and Simulation of an Iot-Based Water Quality Monitoring System

Sowjanya V, Manikumar Vatti, Pranav Raj N S, Karthik Chengalvala
article en

Abstract

Providing safe water to citizens in cities and towns is crucial. However, water quality can fluctuate at any time due to pollution, increasing population, and pipeline defects. Traditional water testing methods are time-consuming and can't deliver real-time results, so issues in water quality may not be noticed promptly. This project creates an IoT-based smart water quality monitoring system that uses sensors to measure critical factors such as pH, turbidity, temperature, and TDS. These sensors are linked to an ESP32 that gathers data and transmits it to the internet via MQTT. Wokwi simulation was utilized to design and test the system. This allows verification of the system's operation without the need for physical hardware. Data can be displayed on a mobile or web dashboard, allowing city officials to check water quality constantly. If water quality parameters exceed safe levels, the system will send alerts to enable prompt action from authorities. The system is economical, simple, and appropriate for smart city applications. In summary, this project demonstrates the simplicity, speed, and reliability that IoT can bring to water monitoring.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 9%
Water Quality Monitoring Technologies
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Design and Simulation of an Iot-Based Water Quality Monitoring System — Sowjanya V, Manikumar Vatti, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS