scholarly journals Recent changes of water level in Lake Khanka and their consequences for its fisheries resources

2020 ◽  
Vol 200 (4) ◽  
pp. 935-950
Author(s):  
Y. I. Zuenko ◽  
M. E. Shapovalov ◽  
A. S. Kurnosova
Keyword(s):  
Water Balance ◽  
Water Level ◽  
Water Discharge ◽  
Summer Precipitation ◽  
Positive Influence ◽  
Balance Model ◽  
Commercial Fish ◽  
Fisheries Resources ◽  
High Level ◽  
Lake Khanka

Interannual variation of the water level in Lake Khanka is considered on satellite altimetry data; its extreme rising in recent years is noted, with the maximum in 2016. Using a simple balance model, contribution of the main components of its water balance to the modern rise is determined, as precipitation in its basin, evaporation, and water discharge through the Sungacha River. Growth of summer precipitation is defined as the main reason of the level rising. However, the water income to the lake does not correlate with the precipitation volume since 2010 that confirms the hypothesis about artificial influence on the water balance of Lake Khanka by its connection with the Mulin River (China) and worsening of the outflow through the Sungacha. As the result, the lake got additionally about 1.3 km3 in 2014–2015 that promoted the level rise to the highest mark. But before and after this period, the water inflow was lower than its expected values, obviously because of its redistribution. Positive influence of the anomalous water level growth on total abundance of commercial fish species is shown. The high level is favorable for reproduction of phytophilic species (Cyprinus rubrofuscus), whereas abundance of pelagophilic species (Chanodichthys erythropterus) declines.

scholarly journals Temporal Scaling of Water Level Fluctuations in Shallow Lakes and Its Impacts on the Lake Eco-Environments

2020 ◽  
Vol 12 (9) ◽  
pp. 3541
Author(s):  
Balati Maihemuti ◽  
Tayierjiang Aishan ◽  
Zibibula Simayi ◽  
Yilinuer Alifujiang ◽  
Shengtian Yang
Keyword(s):  
Water Balance ◽  
Water Level ◽  
Lake Water ◽  
Water Level Fluctuations ◽  
Balance Model ◽  
Lake Basin ◽  
Lake Ecosystems ◽  
Ebinur Lake ◽  
Ebinur Lake Basin ◽  
Lake Water Balance

Managing lake water levels from an ecological perspective has become an urgent issue in recent years in efforts to protect, conserve, and restore lake eco-environments. In this study, we considered the actual situation of Ebinur Lake basin to develop a lake water balance model using a System Dynamics (SD) method. The objective of this study is based on the lake water balance model to sufficiently understand the variation and relationship between the lake depth–area–volume. We combined field investigations and hydrological data analysis to expose the major factors affecting lake water level fluctuations (WLFs), as well as the impact of WLFs on lake eco-environments. All with the aim of providing a theoretical basis to manage Ebinur Lake ecosystems for conservation and restoration. The main findings of this study include: (I) The model’s calculation results agree with the observation value, as the monthly lake surface area was used to validate the model. (II) The factors influencing the dynamic changes in the water level of the lake are ranked in ascending order (from the lowest to the highest) as follows: Precipitation, groundwater recharge, evaporation, river inflow. (III) Fluctuations in water level play a significant role in lake shoreline displacement variation, and when the lake’s water level drops below 1 m, the surface area of the water body decreases to approximately 106 km2. (IV) The magnitude and frequency of WLFs drive major differences in the ecology of lake littoral zones, influencing not only the structure and functioning of benthic assemblages but also littoral habitat structure. These results established a quantitative linkage between hydrological variables and ecosystem health for the Ebinur Lake wetlands. These findings could be widely used in managing the Ebinur Lake basin as well as other similar water bodies, and could provide a useful tool for managing lake ecosystems for conservation and restoration.

Combining a data-driven approach with seasonal forecasts data to predicting reservoir water volume in the Mediterranean area.

2021 ◽  
Author(s):  
Antonio Francipane ◽  
Elisa Arnone ◽  
Leonardo Valerio Noto
Keyword(s):  
Water Balance ◽  
Water Level ◽  
Forecast Model ◽  
Water Balance Model ◽  
Water Levels ◽  
Data Driven ◽  
Balance Model ◽  
Water Volume ◽  
Reservoir Water ◽  
Preliminary Results

<p>Artificial reservoirs are one of the main water supply resources in the Mediterranean areas; their management can be strongly affected by the problems of drought and water scarcity. The reservoir water level is the result of the hydrological processes occurring in the upstream catchment, which, in turn, depend on meteorological variables, such as rainfall and temperature. It follows that a reliable forecast model of the meteorological forcing, along with a reliable water balance model, could enhance the correct management of a reservoir. With regard to the rainfall/temperature forecast model, the use of forecast climate data in the mid-term may provide further support for the future water level estimation of reservoirs.</p><p>From the perspective of the water balance model, instead, among the approaches used to predict the water levels for the next future, those based on data-driven methods have been demonstrated to be particularly capable of correctly reproducing the correlation between a dependent variable (e.g., water level, volume) and some covariates (e.g., temperature, precipitation).</p><p>This study describes the preliminary results of a novel application that exploits the Seasonal Forecast (SF) data, produced at the European Centre for Medium-Range Weather Forecasting (ECMWF), within a data-driven model aimed to predict the reservoir water volume at mid-term scale, up to 6 months ahead in four reservoirs of the Sicily (Italy) here considered as a case study. For each case, a NARX (Nonlinear AutoRegressive network with eXogenous inputs) neural network is calibrated to reproduce the monthly stored water volume starting from the monthly precipitation and mean monthly air temperature variables.</p><p>Preliminary results showed that the NARXs have the capability to reproduce the water levels in the investigated period (January 2017 - April 2020), including the variations during more or less dry periods. All this despite the SF data have not been previously treated with downscaling and/or bias correction techniques.</p>

CRITICAL FACTORS OF WATER CONTENT FOR FISH STOCKS IN THE WATER RESERVOIRS OF KAZAKHSTAN

2017 ◽  
pp. 9-18
Author(s):  
Saule Zhangirovna Asylbekova ◽  
Kuanysh Baibulatovich Isbekov ◽  
Evgeniy Vyacheslavovich Kulikov
Keyword(s):  
Water Content ◽  
Water Level ◽  
Water Availability ◽  
Hydrological Regime ◽  
Fishing Effort ◽  
Water Reservoirs ◽  
The Caspian Sea ◽  
Annual Fish ◽  
Commercial Fish ◽  
Fish Stocks

The hydrological regime of water reservoirs in different years has a decisive impact on the abundance of commercial fish stocks and the quality of ichthyocenoses. In this connection in 2015-2016 there was conducted a retrospective analysis and ranking of hydrological regime impact on these factors. The paper gives evaluation of catches and fish stocks under different scenarios of water availability in the main fishing ponds of the Republic of Kazakhstan that give about 80% of the annual fish catch of the country (except the Caspian Sea). There were analyzed 2000 factors of hydrological regime (water level, annual discharge) and 1845 factors of fishing stocks (catches, abundance, fish biomass). The paper determines the critical characteristics of water availability for fish stocks. There have been proposed a number of administrative decisions and actions in case if water content would approach to the critical level. Among them: limitation of fish catches in the following year; widening zones restricted for fishing; intensification of safety measures of the fish young in residual ponds during arid periods; introduction of catch standards for a unit of fishing effort in low-water years, high-water years and years with normal water level in rivers.

Bracketed Morality in Sport

2019 ◽  
Vol 6 (2) ◽  
pp. 34-45
Author(s):  
Visnja Djordjic
Keyword(s):  
Moral Reasoning ◽  
Positive Influence ◽  
Fair Play ◽  
Personal Factors ◽  
Moral Integrity ◽  
Moral Decision Making ◽  
Male Athletes ◽  
Moral Atmosphere ◽  
High Level ◽  
And Behavior

Summary Although sport can promote moral values and prosocial behavior in youth, numerous research shows that sports engagement alone does not guarantee that outcome. Instead of striving for fair-play and sport excellence which not exclude justness, solidarity and moral integrity, contemporary sport frequently follows the Lombardian ethic, where „winning isn’t everything, it’s the only thing”. Moral pause or bracketed morality, as described in sport, refers to the phenomenon of tolerance and acceptance of aggressive behavior or cheating, that will be morally condemned outside sports arenas. Accordingly, lower levels of moral reasoning and behavior have been identified in athletes and non-athletes in the sports-related situation in comparison to other life situations; in athletes when compared to non-athletes, in more experienced athletes, high-level athletes, team-sport athletes, and male athletes. Moral reasoning and behavior of athletes are influenced by contextual and personal factors, with coaches having a particularly important role to play. The positive influence of sport on the moral development of athletes might be related to pre-service and in-service education of coaches how to develop adequate moral atmosphere, and how to plan for moral decision-making as an integral part of everyday practice.

scholarly journals Sensitivity of groundwater recharge using climatic analogues and HYDRUS-1D

2012 ◽  
Vol 16 (8) ◽  
pp. 2485-2497 ◽  
Author(s):  
B. Leterme ◽  
D. Mallants ◽  
D. Jacques
Keyword(s):  
Water Balance ◽  
Groundwater Recharge ◽  
Potential Evapotranspiration ◽  
Future Climate ◽  
Annual Precipitation ◽  
Balance Model ◽  
Subtropical Climate ◽  
Northern Spain ◽  
Near Surface ◽  
Hydrus 1D

Abstract. The sensitivity of groundwater recharge to different climate conditions was simulated using the approach of climatic analogue stations, i.e. stations presently experiencing climatic conditions corresponding to a possible future climate state. The study was conducted in the context of a safety assessment of a future near-surface disposal facility for low and intermediate level short-lived radioactive waste in Belgium; this includes estimation of groundwater recharge for the next millennia. Groundwater recharge was simulated using the Richards based soil water balance model HYDRUS-1D and meteorological time series from analogue stations. This study used four analogue stations for a warmer subtropical climate with changes of average annual precipitation and potential evapotranspiration from −42% to +5% and from +8% to +82%, respectively, compared to the present-day climate. Resulting water balance calculations yielded a change in groundwater recharge ranging from a decrease of 72% to an increase of 3% for the four different analogue stations. The Gijon analogue station (Northern Spain), considered as the most representative for the near future climate state in the study area, shows an increase of 3% of groundwater recharge for a 5% increase of annual precipitation. Calculations for a colder (tundra) climate showed a change in groundwater recharge ranging from a decrease of 97% to an increase of 32% for four different analogue stations, with an annual precipitation change from −69% to −14% compared to the present-day climate.

Assessment of interbasin groundwater flows between catchments using a semi-distributed water balance model

2014 ◽  
Vol 519 ◽  
pp. 1848-1858 ◽  
Author(s):  
Francisco Pellicer-Martínez ◽  
José Miguel Martínez-Paz
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model
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