Potential of Mie–Fluorescence–Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters

作者：Hongkai Zhao, Yudi Zhou, Hongda Wu, Tiit Kutser, Yicai Han, Ronghua Ma, Ziwei Yao, Huade Zhao, Peituo Xu, Chengchong Jiang, Qiuling Gu, Shizhe Ma, Lingyun Wu, Yang Chen, Haiyan Sheng, Xueping Wan, Wentai Chen, Xiaolong Chen, Jian Bai, Lan Wu, Qun Liu, Wenbo Sun, Suhui Yang, Miao Hu, Chong Liu, Dong Liu · 发表于：Environmental Science & Technology · 年份：2023 · DOI：10.1021/acs.est.3c04212 · 被引用次数：30 · 研究领域：Marine and coastal ecosystems、Water Quality Monitoring and Analysis、Atmospheric and Environmental Gas Dynamics

Vertical distribution of phytoplankton is crucial for assessing the trophic status and primary production in inland waters. However, there is sparse information about phytoplankton vertical distribution due to the lack of sufficient measurements. Here, we report, to the best of our knowledge, the first Mie–fluorescence–Raman lidar (MFRL) measurements of continuous chlorophyll a (Chl -a ) profiles as well as their parametrization in inland water. The lidar-measured Chl -a during several experiments showed good agreement with the in situ data. A case study verified that MFRL had the potential to profile the Chl- a concentration. The results revealed that the maintenance of subsurface chlorophyll maxima (SCM) was influenced by light and nutrient inputs. Furthermore, inspired by the observations from MFRL, an SCM model built upon surface Chl -a concentration and euphotic layer depth was proposed with root mean square relative difference of 16.5% compared to MFRL observations, providing the possibility to map 3D Chl -a distribution in aquatic ecosystems by integrated active–passive remote sensing technology. Profiling and modeling Chl- a concentration with MFRL are expected to be of paramount importance for monitoring inland water ecosystems and environments.