Hydrochemical structure of the waters in the eastern part of the Laptev Sea in autumn 2015

Степанова, Светлана; Polukhin, A. A.; Kostyleva, A. V.

doi:10.1134/s0001437017010180

Cited by 15 publications

(7 citation statements)

References 2 publications

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“…Our study of the fluorescent fraction of DOM has revealed the dominant role of HS in the delta area of the Northern Dvina River and across the Laptev Sea shelf up to station 5225, which is located in the slope region. This conclusion agrees with the results on DOM absorption properties (Drozdova et al, ) and hydrochemical structure of Laptev Sea waters (Stepanova et al, ). The removal of a significant part of HS was demonstrated during field experiments performed in 2015 in the Laptev and White Seas.…”

Section: Discussionsupporting

confidence: 93%

Organic Matter and Mineral Interactions Modulate Flocculation Across Arctic River Mixing Zones

et al. 2019

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The focus of this study is organic matter changes and suspended particle and colloid behavior in riverine and marine water mixing zones. Laboratory experiments demonstrated that salinity, clay mineral type, and the nature of dissolved organic matter (DOM) have a strong influence on mineral suspension stabilities (clays, carbonates, and ferric hydroxide), which represent the main fractions of particulate and colloidal matter riverine export. Clay mineral modification by humic acids stabilizes suspensions under increasing salinity, resulting in greater export of particles to coastal zones. Simultaneously, modified particles are more efficiently aggregated by a flocculant than nonmodified particles. Field investigations were conducted in Arctic river mixing zones, providing new information about colloid matter and colloid organic carbon distributions in the mixing zones, which agreed well with laboratory studies. The ratio between colloid organic carbon and suspended matter may prove a useful criterion to distinguish effective flocculation zones. Arctic River DOM fluorescence suggests dominance of terrigenous humic substances in mixing zones as well as coprecipitation by coagulation and flocculation. Our findings may reconcile reports of nonconservative behavior of DOM previously reported in the mixing zone at salinities of less than 12. We suggest that there is a flocculation mechanism in the estuarine mixing zone, which implies the presence of natural active substances, released during microorganism viral lysis (viral shunting).

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Section: Discussionsupporting

confidence: 93%

Organic Matter and Mineral Interactions Modulate Flocculation Across Arctic River Mixing Zones

et al. 2019

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“…PC1 had a large factor loading in Temperature, Salt, A T , SA and Si. These indicators are generally considered to be conservative tracers of Arctic Ocean river plumes (Stepanova et al, 2017). PC2 had a large factor loading in DO, O 2 % and NO 3 -.…”

Section: Identification Of Water Massesmentioning

confidence: 99%

“…The fresh water discharged into the Laptev Sea shelf by the Lena River can be directly transported to the Arctic Ocean interior at the northward shelf break, or carried to the Canadian part of the basin after being advected eastward (Guay et al, 2001;Dmitrenko et al, 2005;Dmitrenko et al, 2008). The fresh surface water masses on the continental shelf undergo spreading and transformation, affecting numerous local physical, geochemical, and biological processes, ultimately resulting in significant vertical stratification (Kattner et al, 1999;Savelieva et al, 2000;Stepanova et al, 2017). Theoretically, the ratios of the concentrations of the main nutrients in marine biomass can be described by the canonical Redfield ratio C:N:P = 106:16:1 (Richards, 1965), which can be extended by including oxygen and silicate: O:C:Si:N:P = 138:106:15:16:1 (Richards, 1965;Brzezinski, 1985).…”

Section: Introductionmentioning

confidence: 99%

“…However, the stable isotope of seawater, being relatively conservative and minimally influenced by biochemical processes, is particularly informative about the physical processes involved in the movement of water masses (Fairbanks, 1982;Lian et al, 2016). In seawater, the cycling of N, P, and Si elements (source, distribution, and migration) are affected independently or interactively by various physical, chemical, and biological factors, such as seawater dynamic conditions (Du et al, 2013), continental runoff (Stepanova et al, 2017), coastal erosion (Semiletov, 1999a;Semiletov, 1999b;Semiletov et al, 2011;Semiletov et al, 2013), sediment settlement and degradation (Bröder et al, 2018), marine plankton assimilation, feeding and other biological activities (Carlsson and Graneli, 1999;Sukhanova et al, 2017), human activity (Galloway et al, 2004), climate change (Justićet al, 1996) etc. These biogeochemical elements can provide information about biological and chemical processes that help to better understand the impacts of freshwater inputs on marine ecosystems.…”

Section: Introductionmentioning

confidence: 99%

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Biogeochemical structure of the Laptev Sea in 2015-2020 associated with the River Lena plume

et al. 2023

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The discharge of rivers and the subsequent dispersion of their plumes play a pivotal role in the biogeochemical cycling of the Arctic Ocean. Based on the data collected during annual transects conducted in the autumn period (September-October) from 2015-2020, this study explores the effect of River Lena plume dispersion on the seasonal and interannual changes in the hydrophysical and biogeochemical structure of the southeastern Laptev Sea. The temperature-salinity relationship (T-S), Redfield ratio and multiparameter cluster analysis were used to investigate variations in the water mass structure along the transect. The results revealed that the plume’s interannual and seasonal spreading patterns play a crucial role in regulating the local physical, biogeochemical, and biological processes in the southern Laptev Sea. During September-October, the hydrochemical water mass structure along the transects shifted from highly stratified to unstratified as the plume’s mixing intensity increased. Anomalous hydrochemical distributions were observed due to coastal upwelling, which was primarily characterized by high total alkalinity and nitrate levels, and low organic phosphorus, nitrite, and ammonia levels in the seawater. Wind and cold weather conditions drive deep vertical mixing of seawater, causing the resuspension of bottom sediment and the subsequent enrichment of bottom water by nutrients. Multi-parameter cluster analysis is used to describe the details of water mass structures in the highly dynamic southern Laptev Sea, with water mass structures typically undergoing significant changes within two weeks between September and October. The migration and transformation of water masses throughout the seasons are influenced by the volume of river discharge, fall-winter cooling, and atmospheric circulation patterns. Furthermore, the general atmospheric circulation is confirmed to be the primary cause of the interannual variation in the spread of the Lena River plume over the southeast Laptev Sea.

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“…Forcing properties were chosen according to the values provided by[53]. ERSEM photosynthesis parameters.…”

mentioning

confidence: 99%

A 1-Dimensional Sympagic–Pelagic–Benthic Transport Model (SPBM): Coupled Simulation of Ice, Water Column, and Sediment Biogeochemistry, Suitable for Arctic Applications

Yakubov

Wallhead

Protsenko

et al. 2019

Water

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Marine biogeochemical processes can strongly interact with processes occurring in adjacent ice and sediments. This is especially likely in areas with shallow water and frequent ice cover, both of which are common in the Arctic. Modeling tools are therefore required to simulate coupled biogeochemical systems in ice, water, and sediment domains. We developed a 1D sympagic-pelagic-benthic transport model (SPBM) which uses input from physical model simulations to describe hydrodynamics and ice growth and modules from the Framework for Aquatic Biogeochemical Models (FABM) to construct a user-defined biogeochemical model. SPBM coupled with a biogeochemical model simulates the processes of vertical diffusion, sinking/burial, and biogeochemical transformations within and between the three domains. The potential utility of SPBM is demonstrated herein with two test runs using modules from the European regional seas ecosystem model (ERSEM) and the bottom-redox model biogeochemistry (BROM-biogeochemistry). The first run simulates multiple phytoplankton functional groups inhabiting the ice and water domains, while the second simulates detailed redox biogeochemistry in the ice, water, and sediments. SPBM is a flexible tool for integrated simulation of ice, water, and sediment biogeochemistry, and as such may help in producing well-parameterized biogeochemical models for regions with strong sympagic-pelagic-benthic interactions.A biogeochemical model suitable for the Arctic should take into account the specific conditions of this region, such as the seasonal to permanent ice cover and the presence of shelf areas. Thus, the model should preferably combine processes occurring in three domains: ice, water column, and sediments. Each of these domains has some specific features and modeling challenges:Ice. The Arctic ice-algal primary production is a significant part of the total primary production of the Arctic region [7]. Photosynthetic microorganisms extend the production season, provide a winter and early spring food source, and contribute to organic carbon export to depth [8]. A modeling study [9] estimated an average Arctic ice-algal primary production of 21.7 Tg C year −1 , which equates to roughly 5% of total pelagic primary production [10] for this area. Other authors [7] estimated sea ice-algal production accounting for 5-10% of total Arctic and Southern Ocean primary productivity. Another modeling study [11] suggested that under a mild climate change scenario the sea ice community around Greenland may become generally more productive while pelagic phytoplankton productivity may decrease. It is therefore desirable to include the ice domain in biogeochemical modeling studies of the Arctic region. There are three main approaches to implement ice algae behavior according to the place where algae live in the ice column [12,13]: in the bottom layer of an ice column with fixed thickness, in the bottom layer of an ice column with variable thickness, or in any layer of an ice column. Recent research suggests that ice-algal models ...

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Hydrochemical structure of the waters in the eastern part of the Laptev Sea in autumn 2015

Cited by 15 publications

References 2 publications

Organic Matter and Mineral Interactions Modulate Flocculation Across Arctic River Mixing Zones

Organic Matter and Mineral Interactions Modulate Flocculation Across Arctic River Mixing Zones

Biogeochemical structure of the Laptev Sea in 2015-2020 associated with the River Lena plume

A 1-Dimensional Sympagic–Pelagic–Benthic Transport Model (SPBM): Coupled Simulation of Ice, Water Column, and Sediment Biogeochemistry, Suitable for Arctic Applications

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