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Lidar-Observed Diel Vertical Variations of Inland Chlorophyll a Concentration

Authors :
Hongkai Zhao
Yudi Zhou
Qiuling Gu
Yicai Han
Hongda Wu
Peituo Xu
Lei Lin
Weige Lv
Lan Wu
Lingyun Wu
Chengchong Jiang
Yang Chen
Mingzhu Yuan
Wenbo Sun
Chong Liu
Dong Liu
Source :
Remote Sensing, Vol 16, Iss 19, p 3579 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

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.

Details

Language :
English
ISSN :
20724292
Volume :
16
Issue :
19
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.074786bf8948b889a957b6eb3e18e2
Document Type :
article
Full Text :
https://doi.org/10.3390/rs16193579