研究目的
To develop simple models for predicting phytoplankton and cyanobacterial chlorophyll a concentrations using multiple low-cost handheld fluorometers, including corrections for optical interference from water turbidity and colored dissolved organic matter (CDOM).
研究成果
The developed models can accurately quantify total phytoplankton and cyanobacterial Chl a in real time using multiple low-cost fluorometers, with corrections for CDOM and turbidity improving performance. This approach facilitates large-scale monitoring programs.
研究不足
The study is limited to the use of specific low-cost handheld fluorometers and may require adaptation for other models. The corrections for optical interferences are based on linear responses and may not account for all environmental variability.
1：Experimental Design and Method Selection:
The study involved developing models based on Chl a and C-phycocyanin in vivo fluorescence, cross-calibrating nine fluorometers, and testing the algorithms' performance with natural samples.
2：Sample Selection and Data Sources:
Mixed cyanobacterial and microalgal cultures were used for model fitting, and natural samples from five sampling sites were used for testing.
3：List of Experimental Equipment and Materials:
Handheld Aquafluor fluorometers (Turner Designs), configured with Chl a and PC channels, were used for fluorescence measurements.
4：Experimental Procedures and Operational Workflow:
The study was carried out in four steps: standardization and cross-calibration of fluorometers, development of algorithms, evaluation of optical interferences, and testing of algorithms with natural samples.
5：Data Analysis Methods:
Linear models were fitted to fluorescence readings from cultures to known Chl a concentrations, and the performance of the algorithms was evaluated using linear regressions and RMSE.
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