Particle profiling and classification by a dual-band continuous-wave lidar system

Area of Science:

• Atmospheric Science
• Optical Engineering
• Laser Remote Sensing

Background:

• Traditional lidar systems often rely on time-of-flight measurements, which can be complex and expensive.
• Developing cost-effective and robust atmospheric lidar systems is crucial for accurate particle characterization.
• Particle classification and sizing are essential for understanding atmospheric processes and air quality.

Purpose of the Study:

• To develop and demonstrate a dual-band continuous-wave (CW) lidar system utilizing the Scheimpflug principle for enhanced particle classification.
• To evaluate the feasibility of employing low-cost CW diode lasers in an atmospheric lidar system.
• To achieve high accuracy in retrieving atmospheric particle parameters, particularly for dilute plumes.

Main Methods:

• Implementation of a dual-band Scheimpflug lidar system with diode lasers at 405 nm and 808 nm.
• Recording range-resolved atmospheric backscattering signals using an optical imaging system adhering to the Scheimpflug principle.
• Utilizing millisecond exposures with interpolation for data acquisition.

Main Results:

• Successful demonstration of a dual-band Scheimpflug lidar system for particle classification.
• Verification of the system's feasibility for improved particle classification and sizing of various particles and smoke.
• Effective performance in analyzing dilute plumes without significant opacity.

Conclusions:

• The developed dual-band Scheimpflug lidar system provides a robust and accurate method for atmospheric particle classification.
• The use of CW diode lasers and Scheimpflug imaging offers a cost-effective alternative to conventional lidar approaches.
• This technology holds promise for improved atmospheric monitoring and research.