Lidar-Observed Diel Vertical Variations of Inland Chlorophyll a Concentration

The diel vertical variations of chlorophyll a (Chl-a) concentration are thought of primarily as an external manifestation of regulating phytoplankton’s biomass, which is essential for dynamically estimating the biogeochemical cycle in inland waters. However, information on these variations is limited due to insufficient measurements. Undersampled observations lead to delayed responses in phytoplankton assessment, impacting accurate evaluations of carbon export and water quality in dynamic inland waters. Here, we report the first lidar-observed diel vertical variations of inland Chl-a concentration. Strong agreement with r2 of 0.83 and a root mean square relative difference (RMSRD) of 9.0% between the lidar-retrieved and in situ measured Chl-a concentration verified the feasibility of the Mie–fluorescence–Raman lidar (MFRL). An experiment conducted at a fixed observatory demonstrated the lidar-observed diel Chl-a concentration variations. The results showed that diel variations of Chl-a and the formation of subsurface phytoplankton layers were driven by light availability and variations in water temperature. Furthermore, the facilitation from solar radiation-regulated water temperature on the phytoplankton growth rate was revealed by the high correlation between water temperature and Chl-a concentration anomalies. Lidar technology is expected to provide new insights into continuous three-dimension observations and be of great importance in dynamic inland water ecosystems.

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Publication Details

Journal
Remote Sensing
Published
2024-09-26
DOI
https://doi.org/10.3390/rs16193579
Citations
5
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
2.40

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article

Lidar-Observed Diel Vertical Variations of Inland Chlorophyll a Concentration

Yudi Zhou, Weige Lv, Chengchong Jiang, Lei Lin et al.
5 citations
Remote Sensing
Marine and coastal ecosystems
2.40
article

Lidar-Observed Diel Vertical Variations of Inland Chlorophyll a Concentration

Yudi Zhou, Weige Lv, Chengchong Jiang, Lei Lin, Hongkai Zhao, Lingyun Wu, Qiuling Gu, Peituo Xu, Hongda Wu, Lan Wu, Yang Chen, Dong Liu, Chong Liu, Yicai Han, Wenbo Sun, Mingzhu Yuan
article en
5 citations

Abstract

The diel vertical variations of chlorophyll a (Chl-a) concentration are thought of primarily as an external manifestation of regulating phytoplankton’s biomass, which is essential for dynamically estimating the biogeochemical cycle in inland waters. However, information on these variations is limited due to insufficient measurements. Undersampled observations lead to delayed responses in phytoplankton assessment, impacting accurate evaluations of carbon export and water quality in dynamic inland waters. Here, we report the first lidar-observed diel vertical variations of inland Chl-a concentration. Strong agreement with r2 of 0.83 and a root mean square relative difference (RMSRD) of 9.0% between the lidar-retrieved and in situ measured Chl-a concentration verified the feasibility of the Mie–fluorescence–Raman lidar (MFRL). An experiment conducted at a fixed observatory demonstrated the lidar-observed diel Chl-a concentration variations. The results showed that diel variations of Chl-a and the formation of subsurface phytoplankton layers were driven by light availability and variations in water temperature. Furthermore, the facilitation from solar radiation-regulated water temperature on the phytoplankton growth rate was revealed by the high correlation between water temperature and Chl-a concentration anomalies. Lidar technology is expected to provide new insights into continuous three-dimension observations and be of great importance in dynamic inland water ecosystems.

Remote SensingVol. 16(19)
Zhejiang University of Science and Technology (CN), Beijing Municipal Ecology and Environment Bureau (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Clean water and sanitation
Openalex Percentile: Top 12%
Marine and coastal ecosystems
2.40
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