An Affordable Streamflow Measurement Technique Based on Delay and Sum Beamforming.

Area of Science:

• Environmental Science
• Hydrology
• Signal Processing

Background:

• Environmental parameters require frequent, affordable monitoring.
• Streamflow monitoring is crucial for flood forecasting and aquatic ecosystem health.
• Existing methods for hydrological monitoring can be costly and complex.

Purpose of the Study:

• To present a new approach for assessing hydrodynamic features using video sensing and beamforming techniques.
• To estimate flow velocity, temperature, and riverbed movements in channels.
• To demonstrate the potential of affordable video sensors for continuous environmental monitoring.

Main Methods:

• Application of a beamforming technique on video data.
• Utilizing a modified sum and delay method combined with the Multiple Signal Classification (MUSIC) algorithm.
• Employing Synthetic Aperture Radar (SAR) post-processing principles.
• Assessing results using greyscale/pixel histograms, layers, and curve plots.

Main Results:

• Successfully estimated flow velocity, temperature, and riverbed movements.
• Results showed good agreement with on-site measurements.
• Demonstrated the feasibility of using affordable video sensors for hydrological monitoring.

Conclusions:

• The proposed beamforming technique offers a cost-effective solution for hydrological and environmental monitoring.
• Further improvements and calibration with conventional techniques are suggested.
• The method shows potential for widespread adoption in river and channel monitoring systems.