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Related Experiment Video

Updated: Sep 4, 2025

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

Open-source Internet of Things remote aquatic environmental sensing.

Jarrod Trevathan¹, Simon Schmidtke²

¹Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Queensland Australia.

|July 21, 2022

Summary

This study presents a flexible, open-source Internet of Things (IoT) platform for remote water quality monitoring. The low-energy, renewable-powered buoy provides reliable environmental sensing in aquatic ecosystems.

Keywords:

3D printing Arduino microcontroller Environmental data I2C sensors Internet of Things Lux Remote environmental monitoring Temperature Turbidity Wireless sensor network

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Area of Science:

Environmental Science
Electrical Engineering
Computer Science

Background:

Environmental monitoring requires robust, adaptable sensor platforms.
Existing systems may lack flexibility and long-term deployment capabilities.
Real-world water quality studies informed the system's design.

Purpose of the Study:

To detail the physical and hardware design of a flexible, open-source IoT platform.
To develop a remote water quality monitoring buoy for near-shore aquatic environments.
To create a general-purpose hardware design for repurposing in future environmental sensing applications.

Main Methods:

Utilized an Arduino Mega 2560 microcontroller.
Integrated off-the-shelf Adafruit lux and temperature sensors.
Adapted and incorporated a light attenuation turbidity sensor.
Employed a TinySine 3G GSM module for data transmission.
Leveraged a ThingsBoard IoT dashboard for data visualization.

Main Results:

The developed buoy system demonstrates stability and reliability over time.
The platform exhibits low energy consumption, powered by renewable energy sources.
Successfully transmitted remote sensor readings for water quality monitoring.
The hardware design is flexible and adaptable for future environmental sensing needs.

Conclusions:

The open-source IoT platform offers a stable, reliable, and energy-efficient solution for remote water quality monitoring.
The general-purpose hardware design facilitates repurposing for diverse environmental sensing applications.
The system's design, informed by practical experience, is suitable for calm, shallow aquatic environments.