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

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

doi:10.1021/acs.est.3c04212

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

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 WuQun Liu, Wenbo Sun, Suhui Yang, Miao Hu, Chong Liu^*, Dong Liu^*

^*Corresponding author for this work

School of Optics and Photonics

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

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-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.

Original language	English
Pages (from-to)	14226-14236
Number of pages	11
Journal	Environmental Science and Technology
Volume	57
Issue number	38
DOIs	https://doi.org/10.1021/acs.est.3c04212
Publication status	Published - 26 Sept 2023

Keywords

Mie−fluorescence−Raman lidar
chlorophyll a
inland water
integrated active−passive remote sensing
subsurface chlorophyll maxima

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1021/acs.est.3c04212

Cite this

Zhao, H., Zhou, Y., Wu, H., Kutser, T., Han, Y., Ma, R., Yao, Z., Zhao, H., Xu, P., Jiang, C., Gu, Q., Ma, S., Wu, L., Chen, Y., Sheng, H., Wan, X., Chen, W., Chen, X., Bai, J., ... Liu, D. (2023). Potential of Mie-Fluorescence-Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters. Environmental Science and Technology, 57(38), 14226-14236. https://doi.org/10.1021/acs.est.3c04212

@article{e1a68cc01bc14bf28cbe2b8c2030f85f,

title = "Potential of Mie-Fluorescence-Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters",

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-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.",

keywords = "Mie−fluorescence−Raman lidar, chlorophyll a, inland water, integrated active−passive remote sensing, subsurface chlorophyll maxima",

author = "Hongkai Zhao and Yudi Zhou and Hongda Wu and Tiit Kutser and Yicai Han and Ronghua Ma and Ziwei Yao and Huade Zhao and Peituo Xu and Chengchong Jiang and Qiuling Gu and Shizhe Ma and Lingyun Wu and Yang Chen and Haiyan Sheng and Xueping Wan and Wentai Chen and Xiaolong Chen and Jian Bai and Lan Wu and Qun Liu and Wenbo Sun and Suhui Yang and Miao Hu and Chong Liu and Dong Liu",

note = "Publisher Copyright: {\textcopyright} 2023 American Chemical Society",

year = "2023",

month = sep,

day = "26",

doi = "10.1021/acs.est.3c04212",

language = "English",

volume = "57",

pages = "14226--14236",

journal = "Environmental Science and Technology",

issn = "0013-936X",

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Zhao, H, Zhou, Y, Wu, H, Kutser, T, Han, Y, Ma, R, Yao, Z, Zhao, H, Xu, P, Jiang, C, Gu, Q, Ma, S, Wu, L, Chen, Y, Sheng, H, Wan, X, Chen, W, Chen, X, Bai, J, Wu, L, Liu, Q, Sun, W, Yang, S, Hu, M, Liu, C & Liu, D 2023, 'Potential of Mie-Fluorescence-Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters', Environmental Science and Technology, vol. 57, no. 38, pp. 14226-14236. https://doi.org/10.1021/acs.est.3c04212

TY - JOUR

T1 - Potential of Mie-Fluorescence-Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters

AU - Zhao, Hongkai

AU - Zhou, Yudi

AU - Wu, Hongda

AU - Kutser, Tiit

AU - Han, Yicai

AU - Ma, Ronghua

AU - Yao, Ziwei

AU - Zhao, Huade

AU - Xu, Peituo

AU - Jiang, Chengchong

AU - Gu, Qiuling

AU - Ma, Shizhe

AU - Wu, Lingyun

AU - Chen, Yang

AU - Sheng, Haiyan

AU - Wan, Xueping

AU - Chen, Wentai

AU - Chen, Xiaolong

AU - Bai, Jian

AU - Wu, Lan

AU - Liu, Qun

AU - Sun, Wenbo

AU - Yang, Suhui

AU - Hu, Miao

AU - Liu, Chong

AU - Liu, Dong

PY - 2023/9/26

Y1 - 2023/9/26

N2 - 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.

AB - 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.

KW - Mie−fluorescence−Raman lidar

KW - chlorophyll a

KW - inland water

KW - integrated active−passive remote sensing

KW - subsurface chlorophyll maxima

UR - http://www.scopus.com/inward/record.url?scp=85172425294&partnerID=8YFLogxK

U2 - 10.1021/acs.est.3c04212

DO - 10.1021/acs.est.3c04212

M3 - Article

C2 - 37713595

AN - SCOPUS:85172425294

SN - 0013-936X

VL - 57

SP - 14226

EP - 14236

JO - Environmental Science and Technology

JF - Environmental Science and Technology

IS - 38

ER -

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

Abstract

Keywords

UN SDGs

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