ASSIMILATION CAPACITY OF THE MARGINAL FILTER OF THE ECOSYSTEM OF THE ESTUARINE COAST OF THE VOLGA

2021 ◽  
Vol 82 (3) ◽  
pp. 49-55
Author(s):  
SVETASHEVA DIANA R. ◽  
◽  
TATARNIKOV VITALY O. ◽  
OCHERETNY MAXIM A. ◽  
◽  
...  

According to the data of long-term observations, the assessment of the degree of impact of copper and zinc on the ecosystem of the shallow part of the estuarine coast of the Volga River was carried out. There are the ideas of the marginal filter and the assimilation capacity were used in the article. The calculation of the assimilation capacity for a marginal filter significantly based on the dimensional characteristics, such as the estuarine region of the Volga River, was carried out at several points located within the estuarine seashore. In this work the century-old sections of the state observation network were used. It can be seen from the calculated data that the value of the assimilation capacity is subject to significant intra-and inter-annual fluctuations. The main parameter determining the volume of the assimilation capacity of copper and zinc is fairly called the flow of the Volga River. According to the results of the study, it can be argued that the observed level of copper and zinc runoff into the Caspian Sea is completely assimilated in the shallow part of the seashore.

2019 ◽  
Vol 59 (3) ◽  
pp. 421-432
Author(s):  
V. N. Lukashin ◽  
M. D. Kravchishina ◽  
A. A. Klyuvitkin ◽  
A. N. Novigatsky ◽  
N. V. Politova

The first data on the long-term study of marginal filter (MF) of the Volga River is presented. The concentrations of suspended particulate matter, suspendforming chemical elements and microelements are considered. Ratios of enrichment suspension by chemical elements relative to the upper lithosphere are calculated. as well as their interrelations at different stages of the MF. It is shown that the sedimentary substance supplied by the sea with river flow, changes radically, both quantitatively and qualitatively.


2021 ◽  
Vol 73 (1) ◽  
pp. 14-22
Author(s):  
А. Issakhov ◽  
◽  
K. Iskendir ◽  

Oil pollution on the water surface is one of the most dangerous and difficult-to-eliminate emergencies. This article shows the results of numerical modeling of oil transport on the surface of the Caspian Sea, taking into account the wind and the Volga River. The numerical method is based on the Navier Stokes equations, which describes the flow of an incompressible viscous fluid. The numerical method was verified using a test problem and the calculation results were compared with the calculated data of other authors. The aim of the study is to assess the possibility and efficiency of using the numerical simulation method to study the features of the formation of the composition of seawater after its mixing with oil and its subsequent distribution. The behavior of an oil slick at different speeds of river flow and oil spill is shown; it was also tested with and without wind in these cases. The calculated values obtained can make it possible to predict in the future the most accurate data on the spread of oil pollution in order to prevent an environmental threat.


Author(s):  
Yelena I. Polyakova ◽  
Yekaterina I. Novichkova ◽  
Tatiana S. Klyuvitkina ◽  
Elizaveta A. Agafonova ◽  
Irina M. Kryukova

Presented the results of long-term studies of diatoms and aquatic palynomorphs in surface sediments of the Arctic seas and the possibility of their use for the reconstructions of paleocirculation water masses, advection of Atlantic and Bering sea water into the Arctic ocean, changes in the river runoff to the seas, sedimentary processes in the marginal filter of the largest rivers, seasonal sea ice cover and other hydrological parameters.


Author(s):  
Edward Vladimirovich Nikitin

Shallow coastal waters of the Volga river is a flooded feeding area for fish juveniles of nonmigratory fish species. There takes place annual downstream migration of fluvial anadromous fish species from spawning grounds of the Volga river to the Northern Caspian Sea. The most important factors determining the number and qualitative characteristics of fry fishes are the level of the Caspian Sea (currently having a tendency to the lowering), hydrological and thermal regimes of the Volga river. Researches were carried out in definite periods of time. In the summer-autumn period of 2012 fry fishes were presented by 19 species (13 of them were commercial species), which belonged to 9 families. The article gives data on all the commercial fish species. In the first decade of July the maximum number of fry fish was registered in the western part of the Volga outfall offshore - in box 247 (19.86 mln specimens/km2), in the eastern part - in box 142 (20.4 mln specimens/km2). The most populous were roach, red-eye, silver bream and bream; size-weight characteristics were better in the areas remoted from the Volga delta. In the third decade of July the quantitative indicators of fry fish on these areas decreased, size-weight characteristics greatly increased. In the second decade of October in the western part of the seaside there were registered increased pre-wintering concentrations of fish juveniles, their qualitative indicators increased, which is evidence to favorable feeding conditions in 2012.


Author(s):  
Yong Xiao ◽  
Yonggang Zeng ◽  
Yun Zhao ◽  
Yuxin Lu ◽  
Weibin Lin

The traditional distribution network lacks real-time topology information, which makes the implementation of smart grid complicated. The smart grid needs to monitor and dispatch the grid to maintain the economic and safe operation of the system. In this paper, we propose a topology detection algorithm of the distribution network based on adaptive state observer. Based on the transient dynamic model of the distribution network, the line states of the distribution network are regarded as unknown parameters, a virtual adaptive state observation network is built, and the topology can be inferred by the changes of adaptive state parameters. Finally, the effectiveness of our algorithm is verified by the MATLAB simulation experiments.


Author(s):  
Ye Yuan ◽  
Stefan Härer ◽  
Tobias Ottenheym ◽  
Gourav Misra ◽  
Alissa Lüpke ◽  
...  

AbstractPhenology serves as a major indicator of ongoing climate change. Long-term phenological observations are critically important for tracking and communicating these changes. The phenological observation network across Germany is operated by the National Meteorological Service with a major contribution from volunteering activities. However, the number of observers has strongly decreased for the last decades, possibly resulting in increasing uncertainties when extracting reliable phenological information from map interpolation. We studied uncertainties in interpolated maps from decreasing phenological records, by comparing long-term trends based on grid-based interpolated and station-wise observed time series, as well as their correlations with temperature. Interpolated maps in spring were characterized by the largest spatial variabilities across Bavaria, Germany, with respective lowest interpolated uncertainties. Long-term phenological trends for both interpolations and observations exhibited mean advances of −0.2 to −0.3 days year−1 for spring and summer, while late autumn and winter showed a delay of around 0.1 days year−1. Throughout the year, temperature sensitivities were consistently stronger for interpolated time series than observations. Such a better representation of regional phenology by interpolation was equally supported by satellite-derived phenological indices. Nevertheless, simulation of observer numbers indicated that a decline to less than 40% leads to a strong decrease in interpolation accuracy. To better understand the risk of declining phenological observations and to motivate volunteer observers, a Shiny app is proposed to visualize spatial and temporal phenological patterns across Bavaria and their links to climate change–induced temperature changes.


2021 ◽  
pp. 87-99
Author(s):  
G. KH. ISMAIYLOV ◽  
◽  
N. V. MURASCHENKOVA ◽  
I. G. ISMAIYLOVA

The results of the analysis and assessment of changes in annual and seasonal characteristics of hydrometeorological processes in a private catchment area of the Kuibyshev hydroelectric complex of the Volga river are presented. To analyze the temporal dynamics of the variability of the annual and seasonal characteristics of the hydrometeorological processes in the considered territory of the river basin we used more than 100 years of observations of annual and seasonal fluctuations of lateral inflow, total atmospheric precipitation and air temperature regimes on the Volgariver. Relationship equations for annual and seasonal changes in hydrometeorological characteristics in time are obtained. It was found that long-term fluctuations of hydrometeorological processes (lateral inflow, total atmospheric precipitation and air temperature) are characterized by tendencies (trends). The analysis of these trends showed that the non-standard climatic situation, starting from the 70s of the last century, had a very significant impact on the distribution of annual and especially on the seasonal (low-water and winter) characteristics of hydrometeorological processes. It has been established that non-standard unidirectional changes are found in the fluctuations in the total atmospheric precipitation. If the winter total precipitation is characterized over the 100-year period in question by a continuously decreasing trend,the summer-autumn period is an increasing trend. This leads to the fact that long-term fluctuations in total precipitation during the period of low water are formed as a stationary process. At the same time, the total precipitation of the spring flood and inflowing to the Kuibyshev hydroelectric unit is characterized by a constantly increasing trend.


2006 ◽  
Vol 406 (1) ◽  
pp. 97-102 ◽  
Author(s):  
I. A. Nemirovskaya ◽  
V. F. Brekhovskikh

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