Hydrochemical Regime in Riverine Aqual Complexes: Case Study of the Small Il’d River (Rybinsk Reservoir Basin)

2019 ◽  
Vol 46 (4) ◽  
pp. 602-604
Author(s):  
N. G. Otyukova
Keyword(s):  
Rybinsk Reservoir ◽  
Hydrochemical Regime ◽  
Reservoir Basin

scholarly journals Hydrochemical mode in riverine aquatic complexes, based on a small river Ild in Rybinsk reservoir basin, Russia

2019 ◽  
Vol 46 (4) ◽  
pp. 424-427
Author(s):  
N. G. Ostyukova
Keyword(s):  
Rybinsk Reservoir ◽  
Spatiotemporal Dynamics ◽  
Small River ◽  
Discrete Area ◽  
Reservoir Basin ◽  
Aquatic Complex

Results of examination of the spatiotemporal dynamics of the hydrochemical mode on discrete aquatic areas of the riverine aquatic complex of a small river during 2001–2010 are presented. Each discrete area examined individually has its own hydrochemical peculiarities.

scholarly journals Zonal Features of the Rybinsk Reservoir Basin Small Rivers Chemical Composition

2020 ◽  
Author(s):  
Keyword(s):  
Heavy Metal ◽  
Chemical Composition ◽  
Metal Ions ◽  
Heavy Metal Ions ◽  
Rybinsk Reservoir ◽  
Small Rivers ◽  
River Waters ◽  
Significant Difference ◽  
Reservoir Basin ◽  
The Rybinsk Reservoir

The work is devoted to the study of the chemical composition of small rivers in the southwestern part of the territory of the Vologda region, which form the river flow of the Rybinsk reservoir basin. The determination of the chemical composition of water in rivers is carried out by generally accepted methods according to standard procedures. A distinctive feature of the river waters of the studied drainage basin is their significant difference in color and color intensity, total iron ion content, and ratio of basic anions. Most of the catchment area of this territory is represented by swamps and numerous lakes, many of them are sources of small and medium length watercourses. A comparative analysis of the ion-salt composition of the waters of rivers shows a certain similarity in the manifestation of the zonal features of the formation of their chemical composition. The composition of the water of the rivers in its salt part is mainly due to the climatic conditions. The waters of the rivers have a hydrocarbonate and sulphate-hydrocarbonate magnesium-calcium composition and relatively low mineralization. Statistical processing of the results of analytical data shows a high correlation in terms of color, permanganate oxidation and chemical oxygen consumption of the investigated water samples. Nutrients represented by the mineral forms of nitrogen and phosphorus in river waters within the studied catchment basin are determined by similar concentrations. A single directivity has been established in the distributions of the contents of heavy metal ions. From the number of heavy metal ions (iron, manganese, aluminum, copper, zinc, nickel, lead, arsenic, chromium, cadmium), which were determined in the analyzed samples, the excess of water quality standards for fishery water bodies was established of by iron and manganese ions. Excess of the established standards of quality of natural waters for other identified ions was not detected.

scholarly journals Improving efficiencies of flood forecasting during lead times: an operational method and its application in the Baiyunshan Reservoir

2018 ◽  
Vol 50 (2) ◽  
pp. 709-724 ◽  
Author(s):  
Pan Liu ◽  
Xiaojing Zhang ◽  
Yan Zhao ◽  
Chao Deng ◽  
Zejun Li ◽  
...  
Keyword(s):  
Objective Function ◽  
Conventional Method ◽  
Lead Time ◽  
Flood Control ◽  
Flood Forecasting ◽  
Lead Times ◽  
Forecast Performance ◽  
Reservoir Basin ◽  
Hydrological Parameter

Abstract Accurate and reliable flood forecasting plays an important role in flood control, reservoir operation, and water resources management. Conventional hydrological parameter calibration is based on an objective function without consideration for forecast performance during lead-time periods. A novel objective function, i.e., minimizing the sum of the squared errors between forecasted and observed streamflow during multiple lead times, is proposed to calibrate hydrological parameters for improved forecasting. China's Baiyunshan Reservoir basin was selected as a case study, and the Xinanjiang model was used. The proposed method provided better results for peak flows, in terms of the value and occurrence time, than the conventional method. Specifically, the qualified rate of peak flow for 4-, 5-, and 6-h lead times in the proposed method were 69.2%, 53.8%, and 38.5% in calibration, and 60%, 40%, and 20% in validation, respectively. This compares favorably with the corresponding values for the conventional method, which were 53.8%, 15.4%, and 7.7% in calibration, and 20%, 20%, and 0% in validation, respectively. Uncertainty analysis revealed that the proposed method caused less parameter uncertainty than the conventional method. Therefore, the proposed method is effective in improving the performance during multiple lead times for flood mitigation.

scholarly journals Impact analysis of stochastic inflow prediction with reliability and discrimination indices on long-term reservoir operation

2013 ◽  
Vol 16 (2) ◽  
pp. 487-501 ◽  
Author(s):  
Daisuke Nohara ◽  
Tomoharu Hori
Keyword(s):  
Reservoir Operation ◽  
Stochastic Dynamic Programming ◽  
Impact Analysis ◽  
Stochastic Dynamic ◽  
Reservoir Operations ◽  
Uncertainty Indices ◽  
Inflow Prediction ◽  
Reservoir Basin

Long-term stochastic inflow predictions can potentially improve decision making for reservoir operations. However, they are still not widely incorporated into actual reservoir management. One of the reasons may be that impacts of various types of uncertainty contained in stochastic inflow predictions have not been sufficiently clarified, thus enabling reservoir managers to recognize the advantages of their use. Impacts of uncertainties of stochastic inflow prediction on long-term reservoir operation for drought management are therefore investigated in order to analyze the kind of uncertainty that most affects improvements in the performance of reservoir operations. Two indices, namely reliability and discrimination, are introduced here to represent two major attributes of a stochastic prediction's uncertainty. Monte Carlo simulations of reservoir operations for water supply are conducted, coupling with optimization process of reservoir operations by stochastic dynamic programming (SDP) considering long-term stochastic inflow predictions, which are artificially generated with arbitrary uncertainties controlled by changing the two uncertainty indices. A case study was conducted using a simplified reservoir basin of which data were derived from the Sameura Reservoir basin in Japan with finer discretization settings for SDP. The results demonstrated the additional implication of the effect of stochastic inflow prediction's uncertainty on the authors’ previous work.

scholarly journals WATER BALANCE AND ECOLOGICAL CONDITIONS OF THE RYBINSK RESERVOIR IN THE EXTREMELY HIGH-WATER YEAR OF 2017

2021 ◽  
pp. 17-20
Author(s):  
A. Litvinov
Keyword(s):  
Water Balance ◽  
Rybinsk Reservoir ◽  
High Water ◽  
Inland Waters ◽  
Ecological Conditions ◽  
Air Temperatures ◽  
Winter Time ◽  
Reservoir Basin ◽  
The Rybinsk Reservoir

This study analyzes the inflow, runoff and water level of the Rybinsk Reservoir during the extremely highwater year of 2017. It was the second-highest on record high-water year in the reservoir basin during the whole period of the reservoir operation. The total annual inflow to the reservoir significantly exceeded its long-term average and amounted to 52,148 km3. Such an increase in the inflow is due to rising air temperatures in winter time under the increasing influence of global warming and high rainfall. To characterize ecological conditions in the reservoir we use data on its water balance, mean ten-day period water temperature in May-October provided by Yaroslavl Center for Hydrometeorology and Environmental Monitoring and materials from six hydrological and hydrobiological expeditions conducted by researchers from the Institute for Biology of Inland Waters RAS (IBIW RAS) in May-October, 2017. During the expeditions to the reservoir, integrated hydrological, hydrochemical and hydrobiological investigations were conducted at standard stations. These studies have been carried out by IBIW researchers since 1962 to monitor the dynamics of ecological conditions of the waterbody.

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