We have developed a portable LD fluorescence-Raman lidar system providing quantified Chl-a profiles of Chlorella vulgaris. Based on the lidar observations and estimated Chl-a concentrations, we studied SCM characteristics at varying biomass concentrations. A positive linear relationship between the fitted curve and the lidar Chl-a data (R2 = 0.96) is observed, which enhances accuracy and efficiency in chlorophyll-a monitoring. The developed system showed significant importance in Chl-a profiling in fresh surface waters affected by domestic effluents, and agricultural runoff.
Cadondon et al. (Thu,) studied this question.