Assessing the water quality in the tributary streams of Lake Baikal from chemical parameters

Сороковикова, Л. М.; Sinyukovich, V. N.; Томберг, И. В.; Marinaite, Irina I.; Ходжер, Т. В.

doi:10.1134/s1875372815010059

Cited by 17 publications

(12 citation statements)

References 5 publications

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“…Water retreats control the bloom of phytoplankton, inter alia chrysophytes, in the warm and shallow waterbodies with high level of biological production, which favours the diversity of silica-scaled chrysophytes in the Baikal Region. Additionally, the climatic changes recorded worldwide during the previous decades, including the Baikal Region, may also underscore the quantitative and qualitative development of silica-scaled chrysophytes (Shimaraev et al 2002;Sinyukovich et al 2010;Sorokovikova et al 2015). Global climate change influences the hydrology of waterbodies (Mushet et al 2017) that will significantly impact the development of aquatic organisms.…”

Section: Impact Of Floods On Silica-scaled Chrysophyte Diversitymentioning

confidence: 99%

Effects of water levels on species diversity of silica-scaled chrysophytes in large tributaries of Lake Baikal

Bessudova¹,

Сороковикова²,

Sinyukovich³

et al. 2020

ABS

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Large tributaries of Lake Baikal considered as a “hotspot” for silica-scaled chrysophytes diversity. Here we presented the updated species composition of silica-scaled chrysophytes and ecological parameters of their habitat in the Barguzin and Selenga River tributaries and delta in a high water level period. The number of registered taxa was significantly lower compared to the low water conditions (23 versus 66 species) and included the following genera with a given number of species: Chrysosphaerella – 1; Paraphysomonas – 2; Clathromonas – 1; Spiniferomonas – 3; Mallomonas – 9; Synura – 7. Mallomonas guttata and Synura borealis were identified in Russian waters for the first time. Thus, the corrected total list of silica-scaled chrysophytes in the Baikal Region includes 79 taxa. Though, the high water level reduced the total number of silica-scaled chrysophyte taxa, it made the water ecosystem more dynamic by enriching it with the entirely new species for this region.

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Section: Impact Of Floods On Silica-scaled Chrysophyte Diversitymentioning

confidence: 99%

Effects of water levels on species diversity of silica-scaled chrysophytes in large tributaries of Lake Baikal

Bessudova¹,

Сороковикова²,

Sinyukovich³

et al. 2020

ABS

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“…This is in contrast to previous work highlighting that the mixing of waters from catchments, with differences in vegetation cover and land use, can alter δ 30 Si DSi at the subbasin level [Delvaux et al, 2013]. The lack of variation in δ 30 Si DSi signatures is also notable given evidence of significant anthropogenic alteration in the landscape along the Selenga River, including industrial centers located close to the riverbanks at Ulan-Ude, Gusinoozersk, and Selenginsk, as well as mining activity and agriculture along the rivercourse [Potemkina and Potemkin, 2015;Sorokovikova et al, 2015]. Indeed, landscape cultivation can lead to significant changes in soil and so water δ 30 Si DSi , although this can be dependent on the time frame over which land has been cultivated [Vandevenne et al, 2015].…”

Section: Spatial Variations In the Selenga Rivermentioning

confidence: 99%

Constraining modern‐day silicon cycling in Lake Baikal

Panizzo

Swann

Mackay

et al. 2017

Global Biogeochemical Cycles

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Constraining the continental silicon cycle is a key requirement in attempts to understand both nutrient fluxes to the ocean and linkages between silicon and carbon cycling over different time scales. Silicon isotope data of dissolved silica (δ 30 Si DSi ) are presented here from Lake Baikal and its catchment in central Siberia. As well as being the world's oldest and voluminous lake, Lake Baikal lies within the seventh largest drainage basin in the world and exports significant amounts of freshwater into the Arctic Ocean. Data from river waters accounting for~92% of annual river inflow to the lake suggest no seasonal alteration or anthropogenic impact on river δ 30 Si DSi composition. The absence of a change in δ 30 Si DSi within the Selenga Delta, through which 62% of riverine flow passes, suggests a net balance between biogenic uptake and dissolution in this system. A key feature of this study is the use of δ 30 Si DSi to examine seasonal and spatial variations in DSi utilization and export across the lake. Using an open system model against deepwater δ 30 Si DSi values from the lake, we estimate that 20-24% of DSi entering Lake Baikal is exported into the sediment record. While highlighting the impact that lakes may have upon the sequestration of continental DSi, mixed layer δ 30 Si DSi values from 2003 and 2013 show significant spatial variability in the magnitude of spring bloom nutrient utilization with lower rates in the north relative to south basin.

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“…Some of the missing data on riverine water composition were derived from the literature [10][11][12][13]. The quarterly average data on the water discharge of the Selenga River and its tributaries were obtained for the years 2005, 2006, and 2009 from Khazheeva and Plyusnin [12] and used for CRR and CRC calculations.…”

Section: Methodsmentioning

confidence: 99%

“…The results of some studies on the chemical composition of riverine and lake water can be treated as qualitative estimates of water purification from dissolved contaminants. For example, the decrease in macro and trace element concentration from the source to the mouth of the Selenga River can be interpreted as element sequestration due to dilution [10][11][12][13][14]. The different concentrations of biogenic elements [14,15] and heavy metals [16] in different channels of the Selenga River delta can be regarded as different self-purification capacities of the water in those channels, and changes in the concentration of solutes along the channels can be interpreted as changes in self-purification capacity.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Self-Purification Capacity of Surface Waters in Lake Baikal Watershed

Semenov

Силаев

et al. 2019

Water

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The removal of trace metals (TM), dissolved organic carbon (DOC), mineral nitrogen (Nmin.), and polycyclic aromatic hydrocarbons (PAHs) from the water of Lake Baikal and its tributaries was evaluated. The contaminant removal rate (CRR) and the contaminant removal capacity (CRC) were used as water self-purification parameters. The CRR was calculated as the difference between contaminant mass flow rates at downstream and upstream gauging stations. The CRC was calculated as the quotient of the CRR and the change in water discharge between downstream and upstream gauging stations. Whether the CRR and CRC have positive or negative values depends on whether contaminant release or removal occurs in the water body. The CRR depends on the size of the water body. The lowest and the highest CRRs observed for Baikal were equal to −15 mg/s (PAHs) to −7327 g/s (DOC), whereas the highest PAH and DOC removal rates observed for Selenga River (the major Baikal tributary) in summer were equal to −9 mg/s and −3190 g/s correspondingly. The highest PAH and DOC removal rates observed for small tributaries were equal to 0.0004 mg/s and −0.7 g/s respectively. The amplitude of annual CRR oscillations depends on contaminant abundance. The highest amplitude was typical for most abundant contaminants such as Nmin. and DOC. In unpolluted sections of the Selenga River the highest rates of N and C removal (−85 g/s and −3190 g/s, respectively) were observed in summer and the lowest rates (4 g/s and 3869 g/s, respectively) were observed in the spring. The lowest amplitude was typical for PAHs and some low-abundance TM such as V and Ni. The highest summer rates of V and Ni removal were equal to −378 mg/s and −155 mg/s respectively, whereas lowest spring rates are equal to 296 mg/s and 220 mg/s. The intermediate CRR amplitudes were typical for most abundant TM such as Sr, Al, and Fe. The spatial CRR variability depends on water chemistry and the presence of pollution sources. The lowest (up to 38 g/s) rates of Nmin. removal was observed for polluted lower Selenga sections characterized by low water mineralization and high DOC concentrations. The highest rates (−85 g/s) were observed for unpolluted upper sections. Seepage loss from the river to groundwater was also recognized as an important means of contaminant removal. The CRC values depend mostly on water residence time. The DOC removing capacity value of Baikal (−26 g/m3) were lower than those of Selenga in summer (−35 g/m3) but higher than the CRCs of all tributaries during the other seasons (from 30 mg/m3 to −10 g/m3).

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Assessing the water quality in the tributary streams of Lake Baikal from chemical parameters

Cited by 17 publications

References 5 publications

Effects of water levels on species diversity of silica-scaled chrysophytes in large tributaries of Lake Baikal

Effects of water levels on species diversity of silica-scaled chrysophytes in large tributaries of Lake Baikal

Constraining modern‐day silicon cycling in Lake Baikal

Assessing the Self-Purification Capacity of Surface Waters in Lake Baikal Watershed

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