CHARACTERISTIC FEATURES OF THE AUTUMN ICE REGIME OF R. ZHAYIK (URAL)

2021 ◽  
Vol 100 (1) ◽  
pp. 50-56
Author(s):  
D.K. Kissebayev ◽  
◽  
S.Zh. Beysenbayeva ◽  
Keyword(s):  
Climate Change ◽  
Anthropogenic Activities ◽  
Ice Formation ◽  
Ice Regime ◽  
Characteristic Features ◽  
Ice Phenomena

This study considers the change in the timing of the appearance of autumn ice events on the river. Zhayik (Ural) related to anthropogenic activities and climate change. Autumn ice phenomena include floating ice (lard, shuga, snowflake) and the establishment of ice composition. As studies have shown, there is a tendency of later appearance of autumn ice phenomena (by 6...9 days) and the establishment of ice formation on the river (by 9...11 days), as well as a slight increase in the duration of the ice formation period (by 2...3 days).

scholarly journals ICE CONDITIONS IN THE SOUTHEASTERN BALTIC SEA FROM SATELLITE DATA (2004–2019)

2020 ◽  
Vol 48 (2) ◽  
pp. 18-33 ◽  
Author(s):  
E. V. Krek ◽  
Zh. I. Stont ◽  
T. V. Bukanova
Keyword(s):  
Sea Ice ◽  
Baltic Sea ◽  
Satellite Data ◽  
Ice Formation ◽  
Large Area ◽  
Southeastern Part ◽  
Radar Images ◽  
Ice Regime ◽  
Ice Period ◽  
Ice Phenomena

The Russian part of the Southeastern Baltic Sea has a specific ice regime, which is determined by geographical location and climate conditions. Satellite data are widely used to study the propagation of sea ice. The advantages of radar images (RLI) from satellites equipped with synthetic aperture radar (SAR) are a large area coverage and independence from daylight and cloud-cover conditions. There were 840 SAR images of the Southeastern Baltic Sea analyzed for the period from December 1 to March 31, 2004–2019. It is shown that in modern conditions ice phenomena in the southeast Baltic do not occur every year. It is shown that in recent conditions ice phenomena do not occur every year in the Southeastern Baltic Sea. The revealed spatial and temporal variations in the ice regime are determined by the consequences of climate changes in the Southeastern part of the Baltic Sea. The intensity of ice formation depend on temperature conditions. Ice formation begins mainly in the second half of January-early February. The average duration of sea ice period is 22 days per season. The probability of observing sea ice from a satellite is maximum in February. Stable ice fields occur when the daily average air temperatures drop below –5 °C during 5 or more days. The maximum duration of ice period and maximum ice extent are observed in February.

Emergence of New Potential Insect Pests of Date Palm: Could Climate Change Be the Reason?

2019 ◽  
Vol 30 (6) ◽  
pp. 242-245
Author(s):  
Hamadttu A. F. El-Shafie
Keyword(s):  
Climate Change ◽  
Date Palm ◽  
Insect Pests ◽  
Anthropogenic Activities ◽  
Economic Damage ◽  
South American ◽  
Palm Fruit ◽  
The Family ◽  
American Palm ◽  
Sorghum Chafer

Four insect species were reported as new potential pests of date palm in recent years. They are sorghum chafer (Pachnoda interrupta), the rose chafer (Potosia opaca), the sericine chafer beetle (Maladera insanablis), and the South American palm borer (Pysandisia archon). The first three species belong to the order Coleoptera and the family Scarabaeidae, while the fourth species is a lepidopteran of the family Castniidae. The injury as well as the economic damage caused by the four species on date palm need to be quantified. Due to climate change and anthropogenic activities, the date palm pest complex is expected to change in the future. To the author's knowledge, this article provides the first report of sorghum chafer as a pest damaging date palm fruit.

scholarly journals Variations of indicative dates of ice regime on Lake Onego based on ground air temperature

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Vyacheslav N. Baklagin
Keyword(s):  
Air Temperature ◽  
Regression Equations ◽  
Early Formation ◽  
Air Temperatures ◽  
Ice Regime ◽  
Break Up ◽  
Ice Period ◽  
Ice Phenomena

The paper shows the changes in the dates (complete freeze-up, ±5 days/°C and complete ice clearance, ±3 days/°C) of the ice regime in Lake Onego depending on changes in average air temperature within the preceding two-month periods (autumn and spring). The regression equations for their calculation based on previous three- and four-month periods according to the 2000-2018 data are also provided. Indicative dates of ice regime based on accumulated air temperatures within the ice period of Lake Onego were also established (early formation of ice phenomena, complete freeze-up phase, beginning of the break-up phase and complete ice clearance). Together with the data on expected air temperature above the lake’s surface, these dependencies enable us to predict the indicative dates of the ice regime.

scholarly journals Predicting current and future background ion concentrations in German surface water under climate change

2018 ◽  
Vol 374 (1764) ◽  
pp. 20180004 ◽  
Author(s):  
Trong Dieu Hien Le ◽  
Mira Kattwinkel ◽  
Klaus Schützenmeister ◽  
John R. Olson ◽  
Charles P. Hawkins ◽  
...  
Keyword(s):  
Climate Change ◽  
Surface Waters ◽  
Anthropogenic Activities ◽  
Global Environmental Change ◽  
Running Water ◽  
Ion Concentrations ◽  
Freshwater Organisms ◽  
Global Environmental Issue ◽  
Global Environmental ◽  
Major Factors

Salinization of surface waters is a global environmental issue that can pose a regional risk to freshwater organisms, potentially leading to high environmental and economic costs. Global environmental change including climate and land use change can increase the transport of ions into surface waters. We fit both multiple linear regression (LR) and random forest (RF) models on a large spatial dataset to predict Ca 2+ (266 sites), Mg 2+ (266 sites), and (357 sites) ion concentrations as well as electrical conductivity (EC—a proxy for total dissolved solids with 410 sites) in German running water bodies. Predictions in both types of models were driven by the major factors controlling salinity including geologic and soil properties, climate, vegetation and topography. The predictive power of the two types of models was very similar, with RF explaining 71–76% of the spatial variation in ion concentrations and LR explaining 70–75% of the variance. Mean squared errors for predictions were all smaller than 0.06. The factors most strongly associated with stream ion concentrations varied among models but rock chemistry and climate were the most dominant. The RF model was subsequently used to forecast the changes in EC that were likely to occur for the period of 2070 to 2100 in response to just climate change—i.e. no additional effects of other anthropogenic activities. The future forecasting shows approximately 10% and 15% increases in mean EC for representative concentration pathways 2.6 and 8.5 (RCP2.6 and RCP8.5) scenarios, respectively. This article is part of the theme issue ‘Salt in freshwaters: causes, ecological consequences and future prospects’.

DATA ANALYTICS FOR CLIMATE AND ATMOSPHERIC SCIENCE

2021 ◽  
pp. 2150005
Author(s):  
STAVROS DEMERTZIS ◽  
VASILIKI DEMERTZI ◽  
KONSTANTINOS DEMERTZIS
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Data Analytics ◽  
Global Climate ◽  
Anthropogenic Activities ◽  
Atmospheric Science ◽  
Climatic Conditions ◽  
Future Climate Change ◽  
Rivers And Lakes ◽  
Atmospheric Concentrations

Global climate change has already had observable effects on the environment. Glaciers have shrunk, ice on rivers and lakes is breaking up earlier, plant and animal ranges have shifted and trees are flowering sooner. Under these conditions, air pollution is likely to reach levels that create undesirable living conditions. Anthropogenic activities, such as industry, release large amounts of greenhouse gases into the atmosphere, increasing the atmospheric concentrations of these gases, thus significantly enhancing the greenhouse effect, which has the effect of increasing air heat and thus the speedup of climate change. The use of sophisticated data analysis methods to identify the causes of extreme pollutant values, the correlation of these values with the general climatic conditions and the general malfunctions that can be caused by prolonged air pollution can give a clear picture of current and future climate change. This paper presents a thorough study of preprocessing steps of data analytics and the appropriate big data architectures that are appropriate for the research study of Climate Change and Atmospheric Science.

Impact of Climate Change on the Retreat of Himalayan Glaciers and Its Impact on Major River Hydrology

2018 ◽  
pp. 681-694
Author(s):  
Ram Karan Singh
Keyword(s):  
Climate Change ◽  
Anthropogenic Activities ◽  
Climatic Changes ◽  
Glacier Mass Balance ◽  
Run Off ◽  
Himalayan Glaciers ◽  
Freshwater Resource ◽  
River Hydrology ◽  
Major River ◽  
Cyclic Phenomenon

Himalayan Glaciers are the largest freshwater resource on earth and the rivers originating from them are an important source of water. They significantly modify stream flow both in quantity and timing as annual basin run-off is enhanced or decreased in years of negative or positive glacier mass balance respectively. Although glacial advances and retreats are a part of its natural cyclic phenomenon, the rate of de-glaciations has accelerated in recent times due to climatic changes and global warming caused by anthropogenic activities. Some of the important glaciers of Himalayas are receding at an alarming rate, which could have dire consequences on river hydrology of the main rivers of this region namely, Indus, Ganga and Brahmaputra, initially causing floods and the paradoxically, scarcity of water later. This chapter is an attempt to summarize some of the studies on Himalayan glacier retreats and also to assess its impact on the availability of freshwater in the sub-continent.

scholarly journals Coastal Flooding and Erosion under a Changing Climate: Implications at a Low-Lying Coast (Ebro Delta)

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 346 ◽  
Author(s):  
Albert Grases ◽  
Vicente Gracia ◽  
Manuel García-León ◽  
Jue Lin-Ye ◽  
Joan Pau Sierra
Keyword(s):  
Climate Change ◽  
Sediment Transport ◽  
Sea Level ◽  
Anthropogenic Activities ◽  
Management Strategies ◽  
Wave Model ◽  
Ebro Delta ◽  
Coastal Hazards ◽  
Sand Transport ◽  
Storm Waves

Episodic coastal hazards associated to sea storms are responsible for sudden and intense changes in coastal morphology. Climate change and local anthropogenic activities such as river regulation and urban growth are raising risk levels in coastal hotspots, like low-lying areas of river deltas. This urges to revise present management strategies to guarantee their future sustainability, demanding a detailed diagnostic of the hazard evolution. In this paper, flooding and erosion under current and future conditions have been assessed at local scale at the urban area of Riumar, a touristic enclave placed at the Ebro Delta (Spain). Process-based models have been used to address the interaction between beach morphology and storm waves, as well as the influence of coastal environment complexity. Storm waves have been propagated with SWAN wave model and have provided the forcings for XBeach, a 2DH hydro-morphodynamic model. Results show that future trends in sea level rise and wave forcing produce non-linear variations of the flooded area and the volume of mobilized sediment resulting from marine storms. In particular, the balance between flooding and sediment transport will shift depending on the relative sea level. Wave induced flooding and long-shore sand transport seem to be diminished in the future, whereas static sea level flooding and cross-shore sediment transport are exacerbated. Therefore, the characterization of tipping points in the coastal response can help to develop robust and adaptive plans to manage climate change impact in sandy wave dominated coasts with a low-lying hinterland and a complex shoreline morphology.

scholarly journals Variability and course of occurrence of ice cover on selected lakes of the Gnieźnieńskie Lakeland (Central Poland) in the period 1976–2015

2018 ◽  
Vol 44 ◽  
pp. 00126 ◽  
Author(s):  
Bogumił Nowak ◽  
Dominik Nowak ◽  
Mariusz Ptak
Keyword(s):  
Air Temperature ◽  
Ice Cover ◽  
Maximum Thickness ◽  
Central Poland ◽  
Winter Half ◽  
Ice Regime ◽  
Ice Phenomena

The paper presents the analysis of the course of ice phenomena on four lakes (Lednica, Żnińskie Duże, Biskupińskie, Powidzkie) in central Poland in the period 1976–2015. The obtained results show changes in their ice regime that occurred over the last 40 years. An advance of the term of decline of ice cover was determined (by 2.5 day·dec-1on average for all lakes), as well as a reduction of duration of ice cover (by 4.4 day·dec-1 on average for all lakes), and a decrease in its maximum thickness (by 2 cm·dec-1 on average for all lakes). Such a situation should be associated with the observed warming, as confirmed by the course of air temperature for station Gniezno, where in the period of the winter half-year (November-April), an increase in temperature was recorded by 0.37°C·dec-1.

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