1. Potential of Mie–Fluorescence–Raman Lidar to Profile Chlorophyll aConcentration in Inland Waters
- Author
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Zhao, Hongkai, Zhou, Yudi, Wu, Hongda, Kutser, Tiit, Han, Yicai, Ma, Ronghua, Yao, Ziwei, Zhao, Huade, Xu, Peituo, Jiang, Chengchong, Gu, Qiuling, Ma, Shizhe, Wu, Lingyun, Chen, Yang, Sheng, Haiyan, Wan, Xueping, Chen, Wentai, Chen, Xiaolong, Bai, Jian, Wu, Lan, Liu, Qun, Sun, Wenbo, Yang, Suhui, Hu, Miao, Liu, Chong, and Liu, Dong
- Abstract
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-aduring several experiments showed good agreement with the in situ data. A case study verified that MFRL had the potential to profile the Chl-aconcentration. 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-aconcentration 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-adistribution in aquatic ecosystems by integrated active–passive remote sensing technology. Profiling and modeling Chl-aconcentration with MFRL are expected to be of paramount importance for monitoring inland water ecosystems and environments.
- Published
- 2023
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