Monitoring multiple parameters in complex water scenarios using a low-cost open-source data acquisition platform

Area of Science:

• Environmental Science
• Robotics
• Oceanography

Background:

• Water monitoring is hindered by infrastructure, policy, and financial constraints.
• Existing solutions are often costly and lack flexibility for complex environments.

Purpose of the Study:

• To introduce the EMAC-USV, a modular, low-cost, open-source Unmanned Surface Vessel (USV).
• To enable comprehensive monitoring of bathymetry and water quality in complex aquatic settings.

Main Methods:

• Detailed design and electronic connections of the EMAC-USV platform.
• Field deployment in waste stabilization ponds and a tidal channel.
• Evaluation of performance, communication, and payload capabilities.

Main Results:

• The EMAC-USV platform was successfully designed and described.
• Field tests were conducted in diverse aquatic environments.
• The vessel demonstrated a balanced approach to performance, communication, and payload.

Conclusions:

• The EMAC-USV offers a viable solution for cost-effective environmental monitoring.
• Its modular and open-source nature promotes accessibility and adaptability.
• The vessel is suitable for complex water scenarios requiring bathymetry and water quality assessment.