Cyanobacterial bloom in the world largest freshwater lake Baikal

Намсараев, З. Б.; Melnikova, Anna; Ivanov, V. F.; Комова, А. В.; Teslyuk, Anton

doi:10.1088/1755-1315/121/3/032039

Cited by 13 publications

(12 citation statements)

References 3 publications

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“…When the input is not completely empty both algorithms (DINEOF and TIEOF HOOI) are able to restore the missing data. Though the restorations differ, they both generated plausible results as chlorophyll a concentration increases in the shallower parts of lake Baikal near the coastline [23]. In the second row we show the reconstruction of the input that is fully empty.…”

Section: Discussionmentioning

confidence: 96%

“…Since 2011, the blooms of filamentous green algae have regularly been observed in the nearshore zone of the lake. Besides, since 2016 severe cyanobacterial blooms have been observed in the coastal and pelagic zones of the lake [23]. Given the large size of the lake, satellite data provide valuable information for studying the long-term trends in lake eutrophication, but the amount of missing satellite data makes this challenging.…”

Section: Introductionmentioning

confidence: 99%

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TIEOF: Algorithm for Recovery of Missing Multidimensional Satellite Data on Water Bodies Based on Higher-Order Tensor Decompositions

Куликов

Inkova

Cherniuk

et al. 2021

Water

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Satellite research methods are [DCh]actively involvedfrequently used in observations of water bodies. One of the most important problems in satellite observations is the presence of missing data due to internal malfunction of satellite sensors and poor atmospheric conditions. We proceeded on the assumption that the use of data recovery methods based on spatial relationships in data can increase the recovery accuracy. In this paper, we present a method for missing data reconstruction from remote sensors. We refer our method to as Tensor Interpolating Empirical Orthogonal Functions (TIEOF). The method relies on the two-dimensional nature of sensor images and organizes the data into three-dimensional tensors. We use high-order tensor decomposition to interpolate missing data [ZN] on chlorophyll a concentration in lake Baikal (Russia, Siberia). Using MODIS and SeaWiFS satellite data of lake Baikal we show that the observed improvement of TIEOF was 69% on average compared to the current state-of-the-art DINEOF algorithm measured in various preprocessing data scenarios including thresholding and different interpolating schemes.

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Section: Discussionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

TIEOF: Algorithm for Recovery of Missing Multidimensional Satellite Data on Water Bodies Based on Higher-Order Tensor Decompositions

Куликов

Inkova

Cherniuk

et al. 2021

Water

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“…In a study of > 1000 U.S. lakes, both nutrients and temperature were related to the percent biovolume made up by Dolichospermum (referred to there under its former name, Anabaena) (Rigosi et al 2014). A bloom of Dolichospermum also was recently reported in the nearshore of Lake Baikal in 2016 (Namsaraev et al 2018). Peak chlorophyll concentrations in Baikal were similar to those described here in Lake Superior; supporting chemical data were not reported for the Baikal event, but evidence was offered that buoyancy and drift to shore were involved in bloom buildup.…”

Section: Discussionmentioning

confidence: 99%

“…Earth's largest lakes are not immune to this global trend, with blooms known for Lakes Pontchartrain (Mishra and Mishra 2010), Taihu (Paerl and Otten 2013), Baikal (Namsaraev et al 2018), and others. Blooms in large lakes are especially noteworthy because they are detrimental to ecosystem services that affect millions of people.…”

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A first assessment of cyanobacterial blooms in oligotrophic Lake Superior

Sterner

Reinl

Lafrancois

et al. 2020

Limnology & Oceanography

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Lake Superior is often described as the most pristine of the Laurentian Great Lakes, but in the past decade Dolichospermum blooms have been observed. Land use in the adjacent watershed has not changed appreciably during this time, but the lake is warming and climatological variables correspond with presence of blooms. Blooms occurred only in relatively warm years as measured by degree days. Furthermore, the two largest blooms, in 2012 and 2018, occurred during years of especially extreme rainfall, providing coincidental evidence that intense storms provide nutrients or living propagules to the blooms from the watershed. Nearshore lake water in the narrow zone where blooms appear shows some riverine influence compared to water further offshore even in the absence of blooms. Nevertheless, water chemistry associated with the largest bloom in 2018 more closely resembled nonbloom nearshore lake water than river water, suggesting that blooms develop or at least persist outside of distinct river plumes. Concentrations of P and N during peak bloom density greatly exceeded any nonbloom lake or river waters, indicating that a buildup of phytoplankton biomass perhaps by floating and drifting to shore also is a significant factor in bloom occurrence. One potentially toxic substance (Anabaenopeptin A) was observed but at low concentration. At peak phytoplankton concentration, high seston C : P indicated severe P limitation while low C : N pointed against N limitation. If these newly observed blooms are indeed driven by temperature and rainfall as this evidence suggests, blooms may continue. Cyanobacterial blooms (defined as "a massive accumulation of cyanobacterial biomass, formed through growth, migration, and physical-chemical forces"; Tromas et al. 2017) are a significant and increasingly prevalent global water quality problem (Paerl and Otten 2013; Ho et al. 2019). Blooms of cyanobacteria are most often associated with eutrophic or

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“…We have found references to only 11 cases of algal outbreaks in the reservoirs of Russia in 2016-2018 in the scientific articles [44][45][46][47][48][49][50][51][52][53][54]. In that time, four cases happened in 2016, six in 2017.…”

Section: Description Of Outbreaks In Scientific Articlesmentioning

confidence: 99%

Algal Bloom Occurrence and Effects in Russia

Намсараев

Melnikova

Комова

et al. 2020

Water

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Eutrophication caused by the entry of nutrients into a water body may lead to algal bloom. Russia possesses the world’s second highest supply of renewable freshwater resources and has faced the problem of eutrophication for many years. Nevertheless, as far as we know, no general analysis of Russia’s algal bloom situation has been before carried out. We have analyzed mass media and scientific reports about algal outbreaks from 2016 to 2018, which allowed us to determine the geographical distribution of algal blooms in Russia, as well as the major effects of eutrophication. As a result, we showed that algal blooms happened in all major climate zones and all federal districts. Cyanobacteria are the most frequently reported photosynthetic organisms comprising algal blooms in freshwater reservoirs located in the continental part of Russia and in the Baltic Sea. Dinoflagellate dominated blooms are more characteristic for the coastal parts of the northeastern Pacific Ocean. The largest number of reports comes from the south of the European part of Russia. However, we did not find significant correlations between state statistics data on factors possibly affecting eutrophication (e.g., population, arable land area, fertilizers, livestock, air temperature, etc.) and the number of algal outbreaks in the regions. Mass media analysis showed that algal blooms attract considerable public attention in Russia, which requires the scientific community to actively participate in solving the problem.

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Cyanobacterial bloom in the world largest freshwater lake Baikal

Cited by 13 publications

References 3 publications

TIEOF: Algorithm for Recovery of Missing Multidimensional Satellite Data on Water Bodies Based on Higher-Order Tensor Decompositions

TIEOF: Algorithm for Recovery of Missing Multidimensional Satellite Data on Water Bodies Based on Higher-Order Tensor Decompositions

A first assessment of cyanobacterial blooms in oligotrophic Lake Superior

Algal Bloom Occurrence and Effects in Russia

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