Development of a Cost-Effective Multiparametric Probe for Continuous Real-Time Monitoring of Aquatic Environments

Area of Science:

• Environmental Science
• Sensor Technology
• Water Resource Management

Background:

• Traditional water quality assessment methods struggle with capturing dynamic environmental changes.
• Continuous, real-time data is crucial for effective water resource management and ecosystem protection.

Purpose of the Study:

• To develop a low-cost, autonomous multisensor prototype for remote, continuous water quality assessment.
• To optimize a hardware-centric design for reliability, precision, and accuracy.

Main Methods:

• Developed a standalone, autonomous multisensor prototype (
• Integrated sensors for measuring pH, conductivity, temperature, and water level.
• Conducted calibration and sensitivity analyses with 1000 measurements per sensor.

Main Results:

• Demonstrated high performance in pH (R² = 0.9992), conductivity (R² = 0.9999), and water level (R² = 0.9952) measurements.
• Measurements showed distributions consistent with normality for pH, conductivity, and water level.
• Achieved high accuracy with low expanded uncertainties for all measured parameters.

Conclusions:

• The developed multiparameter probe offers continuous, accurate, and low-cost water quality data.
• The system has broad applicability in environmental regulation, pollution control, and sustainable ecosystem management.
• Autonomous, remote monitoring enhances timely decision-making for water resource management.