High-resolution temporal detection of cyanobacterial blooms in a deep and oligotrophic lake by high-frequency buoy data

Zhang, Manxue; Zhang, Yunlin; Deng, Jianming; Liu, Miao; Zhou, Yongqiang; Zhang, Hongjie; Shi, Kun; Jiang, Cuiling

doi:10.1016/j.envres.2021.111848

Cited by 14 publications

(4 citation statements)

References 68 publications

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“…43 Discrete measurements of Chl-a were determined through water sampling taken from the water surface (0−1 m depth) and spectrophotometry to validate and calibrate YSI-EXO2 ChlF profiles (Figure S2). 44,45 Strong correlations between the two methods were found with r 2 values of 0.88, 0.99, 0.70, and 0.71 in experiments in April 2021, July 2021, October 2021, and January 202, indicating the reliability of the YSI-EXO2 measurements in this study.…”

Section: ■ Introductionsupporting

confidence: 62%

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

Zhao,

Zhou,

et al. 2023

Environ. Sci. Technol.

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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.

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Section: ■ Introductionsupporting

confidence: 62%

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

Zhao,

Zhou,

et al. 2023

Environ. Sci. Technol.

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“…It is not intuitive to use two indicators with different meanings. Many oligotrophic and mesotrophic lakes also have algal blooms [53,54]. Conversely, the waters classified as eutrophic (e.g., Chla > 10 mg m −3 ) by the trophic state index maybe not present algal blooms.…”

Section: Limitations Of Using Retrieved Chla Products To Evaluate The...mentioning

confidence: 99%

Retrieval of Chla Concentrations in Lake Xingkai Using OLCI Images

Fu,

Zhou,

Liu

et al. 2023

Remote Sensing

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Lake Xingkai is a large turbid lake composed of two parts, Small Lake Xingkai and Big Lake Xingkai, on the border between Russia and China, where it represents a vital source of water, fishing, water transport, recreation, and tourism. Chlorophyll-a (Chla) is a prominent phytoplankton pigment and a proxy for phytoplankton biomass, reflecting the trophic status of waters. Regularly monitoring Chla concentrations is vital for issuing timely warnings of this lake’s eutrophication. Owing to its higher spatial and temporal coverages, remote sensing can provide a synoptic complement to traditional measurement methods by targeting the optical Chla absorption signals, especially for the lakes that lack regular in situ sampling cruises, like Lake Xingkai. This study calibrated and validated several commonly used remote sensing Chla retrieval algorithms (including the two-band ratio, three-band method, four-band method, and baseline methods) by applying them to Sentinel-3 Ocean and Land Colour Instrument (OLCI) images in Lake Xingkai. Among these algorithms, the four-band model (FBA), which removes the absorption signal of detritus and colored dissolved organic matter, was the best-performing model with an R2 of 0.64 and a mean absolute percentage difference of 38.26%. With the FBA model applied to OLCI images, the monthly and spatial distributions of Chla in Lake Xingkai were studied from 2016 to 2022. The results showed that over the seven years, the Chla concentrations in Small Lake Xingkai were higher than in Big Lake Xingkai. Unlike other eutrophic lakes in China (e.g., Lake Taihu and Lake Chaohu), Lake Xingkai did not display a stable seasonal Chla variation pattern. We also found uncertainties and limitations of the Chla algorithm models when using a larger satellite zenith angle or applying it to an algal bloom area. Recent increases in anthropogenic nutrient loading, water clarity, and warming temperatures may lead to rising phytoplankton biomass in Lake Xingkai, and the results of this study can be applied for the satellite-based monitoring of its water quality.

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“…5 However, it has also been found that cyanobacterial blooms appear in oligotrophic water (phosphorus < 0.02 mg/L), such as Lake Superior in the United States, Lake Dickson in Canada, and Lake Qiandaohu in China. 6,7 This information inspired us to rethink whether there are other key but neglected control factors in cyanobacterial blooms.…”

Section: Introductionmentioning

confidence: 99%

“…At present, up to 63.1% of the world’s inland waters are eutrophic, and there is a risk of cyanobacterial blooms when the nitrogen and phosphorus content is more than 0.7 and 0.05 mg/L, respectively . However, it has also been found that cyanobacterial blooms appear in oligotrophic water (phosphorus < 0.02 mg/L), such as Lake Superior in the United States, Lake Dickson in Canada, and Lake Qiandaohu in China. , This information inspired us to rethink whether there are other key but neglected control factors in cyanobacterial blooms.…”

Section: Introductionmentioning

confidence: 99%

Exploring an Efficient and Eco-Friendly Signaling Molecule and Its Quorum Quenching Ability for Controlling Microcystis Blooms

Yan,

Fu,

Ming

et al. 2023

Environ. Sci. Technol.

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High-resolution temporal detection of cyanobacterial blooms in a deep and oligotrophic lake by high-frequency buoy data

Cited by 14 publications

References 68 publications

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

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

Retrieval of Chla Concentrations in Lake Xingkai Using OLCI Images

Exploring an Efficient and Eco-Friendly Signaling Molecule and Its Quorum Quenching Ability for Controlling Microcystis Blooms

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