scholarly journals Experience in the application of surface foundations for a frame building in the vicinity of St. Petersburg

2021 ◽  
Vol 18 (5) ◽  
pp. 77-83
Author(s):  
I. I. Sakharov ◽  
◽  
P. V. Voitenko ◽  
Keyword(s):  
Winter Season ◽  
Soil Freezing ◽  
Temperature Fields ◽  
Winter Period ◽  
Frame Building ◽  
Base Soil

The article presents the experience of constructing buildings on surface foundations in winter season. Within the frames of the investigation, there were evaluated temperatures in the base composed of heaving soils, as well as foundation displacements during the winter period. There have been were performed calculations of temperature fields and soil heaving deformation using the Termoground program. It is shown that despite the relatively big depth of the base soil freezing, the maximum displacements of the foundations did not exceed 7 mm, which is quite acceptable for a frame building.

Temperature and Flow Conditions in a Reservoir with a Submerged Outlet Tunnel During the Winter Period

1986 ◽  
Vol 17 (4-5) ◽  
pp. 399-406
Author(s):  
Arve M. Tvede
Keyword(s):  
Strong Influence ◽  
Winter Season ◽  
Circulation Pattern ◽  
Electricity Production ◽  
Winter Period ◽  
Flow Conditions ◽  
Power Station ◽  
Reservoir Water ◽  
Southern Norway ◽  
Tunnel Depth

The reservoir Sundsbarmvatn, in Southern Norway, is used for electricity production from November to May. Sundsbarmvatn has two main basins. Water from the upper basin, Mannerosfjorden, flows into the lower basin, Gullnesfjorden. The two basins are separated by a narrow sound with a sill. The regulation interval for Sundsbarmvatn is 612-574 m a.s.l., but the sill prevents Mannerosfjorden from being lowered below 580 m a.s.l. The water intake in Gullnesfjorden is 571 m a.s.l. The water temperature conditions has been studied during two winters when the reservoir water was released. This study shows that a marked thermocline was gradually developed at the depth of withdrawal in Gullnesfjorden. In the epilimnion layer the temperature is gradually lowered through the winter, but in the hypolimnion layer the temperature seems to stay constant through the winter. In Mannerosfjorden, however, we find no clear thermocline at the end of the winter. The remaining water was relatively warm with temperatures mainly above 3 °C. The sill between the two basins seems to have a strong influence on which depth the water is flowing out of Mannerosfjorden and hence on the temperature and circulation pattern in Gullnesfjorden. At the end of the winter season this flow is strengthening and initiates a homogeneous flow layer in Gullnesfjorden. This layer is dipping downwards towards the outlet tunnel. For this reason the temperature of the water leaving the power station is 0.4-1.2 °C colder than the hypolimnion temperature in the reservoir at the tunnel depth.

scholarly journals Soil moisture control over autumn season methane flux, Arctic Coastal Plain of Alaska

2012 ◽  
Vol 9 (4) ◽  
pp. 1423-1440 ◽  
Author(s):  
C. S. Sturtevant ◽  
W. C. Oechel ◽  
D. Zona ◽  
Y. Kim ◽  
C. E. Emerson
Keyword(s):  
Large Scale ◽  
Winter Season ◽  
Methane Flux ◽  
Soil Freezing ◽  
The Arctic ◽  
Freezing Process ◽  
Unfrozen Water ◽  
Ch4 Emission ◽  
Ch4 Emissions ◽  
Autumn Season

Abstract. Accurate estimates of annual budgets of methane (CH4) efflux in arctic regions are severely constrained by the paucity of non-summer measurements. Moreover, the incomplete understanding of the ecosystem-level sensitivity of CH4 emissions to changes in tundra moisture makes prediction of future CH4 release from the Arctic extremely difficult. This study addresses some of these research gaps by presenting an analysis of eddy covariance and chamber measurements of CH4 efflux and supporting environmental variables during the autumn season and associated beginning of soil freeze-up at our large-scale water manipulation site near Barrow, Alaska (the Biocomplexity Experiment). We found that the autumn season CH4 emission is significant (accounting for 21–25% of the average growing season emission), and that this emission is mostly controlled by the fraction of inundated landscape, atmospheric turbulence, and the decline in unfrozen water during the period of soil freezing. Drainage decreased autumn CH4 emission by a factor of 2.4 compared to our flooded treatment. Flooding slowed the soil freezing process which has implications for extending elevated CH4 emissions longer into the winter season.

scholarly journals Analysis of climate of Rivnenskyi Nature Reserve from 2000 to 2015

2018 ◽  
pp. 53-60
Author(s):  
Oleksandr Horbach
Keyword(s):  
Nature Reserve ◽  
Winter Season ◽  
Summer Season ◽  
Daily Temperature ◽  
Winter Period ◽  
Autumn Period ◽  
Average Daily Temperature ◽  
Spring Period ◽  
Unstable Temperature

The analysis of monthly climatic terms of Rivnenskyi Nature Reserve was conducted. It is marked that weather terms have substantial differences due to an unstable temperature condition since creation of reserve. A spring period was the shortest in 2013 – 64 days and had the greatest average daily temperature 11.9 °С. Protracted a spring period was in 2002 – 123 days. The most of precipitations in a spring period was fixed in 2008 – 196.2 mm, and the least in 2011 – 42.1 mm. A summer period in 2015 became the most protracted – 131 day. Moreover, the least protracted summer was in 2006 – 90 days. The warmest summer season was in 2010 with an average daily temperature 19.8 °С. The most raining summer was in 2007 when a 471.3 mm of precipitations is fixed, and the least raining summer was in 2002 (144.6 mm of precipitations). The most protracted autumn period was in 2006 – 107 days and the shortest one was in 2001 – 57 days. The warmest autumn was in 2004 when an average daily temperature reached 9.2°С. The most of precipitations in the autumn period is fixed in 2009 – 178 mm, and the least in 2001 – 39 mm. The winter periods were protracted in 2004/05 and 2005/06. Their duration was 114 days. Winter period in 2009/10 with an average daily temperature -7.9°С was the coldest one. The most precipitations are fixed in winter 2005/06 – 208.4 mm, and the least in a winter period 2012/13 are a 52.2 mm. The most of precipitations for a year fell out 777.8 mm in 2012, and the least one in 2011 – 427 mm. The average long-term dates of the beginning of the year seasons are defined. The average long-term date of the beginning of the spring season is on February 27; the summer season is on May 26; the autumn season is on September 14; the winter season is on December 5. Key words: Rivnenskyi Nature Reserve, seasons of the year, precipitation, climatic terms, temperature, long-term date.

scholarly journals Dynamics of Nosema apis and Nosema ceranae Co-Infection Seasonally in Honey Bee (Apis mellifera L.) Colonies

2019 ◽  
Vol 63 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Asli Özkırım ◽  
Aygün Schiesser ◽  
Nevіn Keskin
Keyword(s):  
Apis Mellifera ◽  
Apis Cerana ◽  
Winter Season ◽  
Nosema Ceranae ◽  
Molecular Techniques ◽  
Winter Period ◽  
Nosema Apis ◽  
Infection Level ◽  
Seasonal Infection ◽  
Asian Honeybee

AbstractNosema apis is a pathogen spesific for the European honeybee, Apis mellifera L., while Nosema ceranae is specific for the Asian honeybee, Apis cerana. Turkey provides different environmental and host conditions for both Nosema species. The aim of the study is to determine the dynamic of N. cerenae and N. apis seasonal infection. A number of samples were collected from different apiaries between 2009-2016 years. The samples were kept at −20°C in the laboratory. Light microscopy was used for spore counting and molecular techniques were used to identify the Nosema species. The results showed that winter season had an impact on the type of Nosema as well as on infection rates. The number of N. ceranae spores decreases significantly at low temperatures (≤ 5°C). The winter period was found to be the main factor affecting nosema infection level and dominancy of Nosema ceranae. Furthermore, co-infection of both species is an indicator of the dynamics of N. apis and N. ceranae. This study suggests, that there is a dynamic prevalence among the Nosema species depending of the average winter temperature and not a replacement of N. apis by N. ceranae.

scholarly journals Study of episootic sıtuation at poultry farms for colibacteriosis and salmonellosis in Azerbaijan

2021 ◽  
Vol 23 (103) ◽  
pp. 56-59
Author(s):  
S. B. Abbasov
Keyword(s):  
Research Work ◽  
Winter Season ◽  
Winter Period ◽  
Bacteriological Examination ◽  
Spring Season ◽  
Autumn Period ◽  
E Coli ◽  
Poultry Farms ◽  
The Republic

The article refers to the research work carried out in recent years at the poultry farms of the Khachmaz region of the Republic of Azerbaijan, the influence of opportunistic microbes on the activities of the farm. The role of opportunistic microbes in the occurrence of certain diseases with deficiencies in the process of feeding and raising of birds, and the microclimate in poultry farms is shown. During the bacteriological examination of breeding eggs by seasons there were revealed the presence of infection in the winter season with E. coli, Salmonella, Staphylococcus and Streptococcus – with each infection separately 13.0 %, in the spring season with E. coli, Salmonella, Staphylococcus – with each infection separately 20.0 %, in the autumn period with E. coli 27.0%, Salmonella 40.0 %, Staphylococcus 13.0 % and Streptococcus 13.0 %. In the course of bacteriological examination of dead embryos, the presence of infection in the winter period with E. coli 20.0 %, salmonella 30.0 %, staphylococcus 25.0 % and streptococcus 25.0 %, in the spring  season with E. coli 30.0 %, salmonella 40.0 %, staphylococcus 15.0 % and streptococcus 15.0 %, in the autumn season with E. coli 45.0 %, salmonella 55.0 % was revealed. In the autumn period, infection with staphylococci and streptococci was not detected. When studying as a whole, pseudomoniasis and mold fungi were not found.

scholarly journals Is snow sublimation important in the alpine water balance?

2007 ◽  
Vol 1 (2) ◽  
pp. 303-350 ◽  
Author(s):  
U. Strasser ◽  
M. Bernhardt ◽  
M. Weber ◽  
G. E. Liston ◽  
W. Mauser
Keyword(s):  
Forest Canopy ◽  
Snow Water Equivalent ◽  
Distributed Simulation ◽  
Meteorological Data ◽  
Winter Season ◽  
Balance Model ◽  
Winter Period ◽  
Detailed Model ◽  
Physically Based ◽  
Snow Transport

Abstract. In alpine terrain, snow sublimation as a component of the winter moisture budget represents a proportion of precipitation which does not contribute to melt. To quantify its amount we analyze the spatial pattern of snow sublimation at the ground, from a canopy and from turbulent suspension during wind-induced snow transport for a high alpine area in the Berchtesgaden National Park (Germany), and we discuss the efficiency of these processes with respect to seasonal snowfall. Therefore, we utilized hourly meteorological recordings from a network of automatic stations, and a distributed simulation framework comprising validated, physically based models. Meteorological data records were spatially distributed over the simulation domain by means of a quasi-physically based interpolation scheme that accounts for topographic influences on the distributed fields. The applied simulation tools were: a detailed model for shortwave and longwave radiative fluxes, a mass and energy balance model for the ground snow cover, a model for the microclimatic conditions within a forest canopy and related snow-vegetation interactions including snow sublimation from the surface of the trees, and a model for the simulation of wind-induced snow transport and related sublimation from suspended snow particles. For each of the sublimation processes, mass rates were quantified and aggregated over an entire winter season. Sublimation from the ground and from most canopy types are spatially relatively homogeneous and sum up to about 100 mm of snow water equivalent (SWE) over the winter period. Accumulated seasonal sublimation due to turbulent suspension is small in the valley areas, but can locally, at very wind-exposed mountain ridges, add up to more than 1000 mm of SWE. The fraction of these sublimation losses of winter snowfall is between 10 and 90%.

Seepage and Heat Flow in Soil Freezing

1982 ◽  
Vol 104 (2) ◽  
pp. 323-328 ◽  
Author(s):  
P. E. Frivik ◽  
G. Comini
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Seepage Flow ◽  
Soil Freezing ◽  
Temperature Fields ◽  
Laboratory Model ◽  
Experimental Measurements ◽  
The Finite Element Method ◽  
Freezing And Thawing ◽  
Velocity And Temperature Fields

In this paper we describe a system of computer programs based on the finite element method, which can be used for the calculation of coupled velocity and temperature fields during freezing and thawing of soils in the presence of seepage flow. In the programs, the mass and energy conservation equations are solved simultaneously, without the use of too limiting assumptions. The results of the computations are compared with experimental measurements made on a laboratory model of a soil freezing system, and the agreement between measured and computed values is good.

scholarly journals Technical Note: Seasonality in alpine water resources management – a regional assessment

2008 ◽  
Vol 12 (1) ◽  
pp. 91-100 ◽  
Author(s):  
D. Vanham ◽  
E. Fleischhacker ◽  
W. Rauch
Keyword(s):  
Water Availability ◽  
Water Demand ◽  
Water Resource Management ◽  
Local Level ◽  
Winter Season ◽  
High Water ◽  
Technical Note ◽  
Winter Period ◽  
Winter Tourism ◽  
Alpine Regions

Abstract. Alpine regions are particularly affected by seasonal variations in water demand and water availability. Especially the winter period is critical from an operational point of view, as being characterised by high water demands due to tourism and low water availability due to the temporal storage of precipitation as snow and ice. The clear definition of summer and winter periods is thus an essential prerequisite for water resource management in alpine regions. This paper presents a GIS-based multi criteria method to determine the winter season. A snow cover duration dataset serves as basis for this analysis. Different water demand stakeholders, the alpine hydrology and the present day water supply infrastructure are taken into account. Technical snow-making and (winter) tourism were identified as the two major seasonal water demand stakeholders in the study area, which is the Kitzbueheler region in the Austrian Alps. Based upon different geographical datasets winter was defined as the period from December to March, and summer as the period from April to November. By determining potential regional water balance deficits or surpluses in the present day situation and in future, important management decisions such as water storage and allocation can be made and transposed to the local level.

scholarly journals Image Based Surface Temperature Extraction and Trend Detection in an Urban Area of West Bengal, India

2016 ◽  
Vol 9 (3-4) ◽  
pp. 13-25 ◽  
Author(s):  
Sk Ziaul ◽  
Swades Pal
Keyword(s):  
Surface Temperature ◽  
Land Surface ◽  
Monsoon Season ◽  
Winter Season ◽  
Time Frame ◽  
Trend Detection ◽  
Winter Period ◽  
Rapid Urbanization ◽  
Post Monsoon Season ◽  
Spatio Temporal

Abstract Rapid urbanization and change of landuse/landcover results in changes of the thermal spectrum of a city even in small cities like English Bazaar Municipality (EBM) of Malda district. Monitoring the spatio-temporal surface temperature patterns is important, therefore, the present paper attempts to extract spatio-temporal surface temperature from thermal band of Landsat imageries and tries to validate it with factor based Land Surface Temperature (LST) models constructed based on six proxy temperature variables for selected time periods (1991, 2010 and 2014). Seasonal variation of temperature is also analyzed from the LST models over different time phases. Landsat TIRS based LST shows that in winter season, the minimum and maximum LST have raised up 2.32°C and 3.09°C in last 25 years. In pre monsoon season, the increase is much higher (2.80°C and 6.74°C) than in the winter period during the same time frame. In post monsoon season, exceptional situation happened due to high moisture availability caused by previous monsoon rainfall spell. Trend analysis revealed that the LST has been rising over time. Expansion and intensification of built up land as well as changing thermal properties of the urban heartland and rimland strongly control LST. Factor based surface temperature models have been prepared for the same period of times as done in case of LST modeling. In all seasons and selected time phases, correlation coefficient values between the extracted spatial LST model and factor based surface temperature model varies from 0.575 to 0.713 and these values are significant at 99% confidence level. So, thinking over ecological growth of urban is highly required for making the environment ambient for living.

scholarly journals Visibility over Indian airports during winter season

MAUSAM ◽  
2022 ◽  
Vol 52 (4) ◽  
pp. 717-726
Author(s):  
U. S. DE ◽  
G. S. PRAKASA RAO ◽  
A. K. JASWAL
Keyword(s):  
Boundary Layer ◽  
Air Quality ◽  
Relative Humidity ◽  
Linear Trend ◽  
Winter Season ◽  
Winter Period ◽  
Data Sets ◽  
Level Of Confidence

Visibility plays a key role at the time of landing and take off operations at airports. The daily visibility data from 1969 onwards for 25 stations in the country (at 2100, 0000, 0300 and 0600 UTC) are examined for the winter period. Side by side the dry bulb temperatures and the relative humidity recorded at the same time are also examined. Linear trend regressions have been fitted on the data sets for each of the cities. The significance is tested at 99% level of confidence.   In recent years, degradation of air quality in the cities has often been suggested as the cause for the increase in the number of poor visibility days <2000 meters) particularly in the morning hours. Continuous persistence of this phenomenon for a number of days has also been reported.   The results show that there are decreasing trends in visibility at most of the stations. At 0300 UTC the visibility is generally low and increased afterwards due to mixing and turbulence in the boundary layer.

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