scholarly journals Identification of solar radiation effect on climatic indicators of the territory of Ukraine

2018 ◽  
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Air Temperature ◽  
Temperature Regime ◽  
Atmospheric Pressure ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Practical Significance ◽  
Statistical Dependence ◽  
Physical Processes

Formulation of the problem. Understanding that solar energy is the main source of the majority of biological, chemical and physical processes on Earth, investigation of its influence on different climatic fields allows us to define the features of its space and hour fluctuations. To define radiation and temperature regime of the territory it is necessary to determine climatic features of the spreading surface, which absorbs and will transform solar energy. Considering the fact that modern climatic changes and their consequences cover all components of the system, today there is a problem of their further study for comprehension of atmospheric processes, modeling weather conditions on different territories depending on the properties. The purpose of the article is to determine interrelations between indexes of solar radiation (the Wolf's number) and air temperature, atmospheric pressure on the territory of Ukraine during 1965-2015, their change in space and time. Methods. Correlative method is one of the main methods of a statistical analysis which allows us to receive correlation coefficients of solar radiation variability indexes, air temperature, atmospheric pressure on the territory of the research. This technique estimates the extent of solar radiation influence on temperature regime of the territory and distribution of atmospheric pressure. Results. Coefficients of correlation, which characterize variability of solar radiation indexes, air temperature and atmospheric pressure on the explored territory have been received by means of statistical correlation analysis method. This technique allows us to estimate the degree and nature of solar radiation influence on a temperature regime of the territory and distribution of atmospheric pressure. It has been defined that direct correlative connection between indexes of solar radiation is characteristic of air temperature and atmospheric pressure fields. Significant statistical dependence between incoming solar radiation on the territory of Ukraine and atmospheric pressure has been noted during the spring and autumn periods mainly at the majority of stations. Between indexes of solar radiation and air temperature the inverse correlative connection in winter will be transformed to a direct connection during the spring and summer periods. Scientific novelty and practical significance. Physical processes, which happen in the atmosphere, are characterized by complex interrelations. For further research it is important to define solar radiation value and the extent of influence on climatic conditions.

scholarly journals Detrended Multiple Cross-Correlation Coefficient applied to solar radiation, air temperature and relative humidity

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrea de Almeida Brito ◽  
Heráclio Alves de Araújo ◽  
Gilney Figueira Zebende
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Solar Energy ◽  
Correlation Coefficient ◽  
Air Temperature ◽  
Cross Correlation ◽  
Global Solar Radiation ◽  
Meteorological Variables ◽  
Hourly Data ◽  
Cross Correlations

AbstractDue to the importance of generating energy sustainably, with the Sun being a large solar power plant for the Earth, we study the cross-correlations between the main meteorological variables (global solar radiation, air temperature, and relative air humidity) from a global cross-correlation perspective to efficiently capture solar energy. This is done initially between pairs of these variables, with the Detrended Cross-Correlation Coefficient, ρDCCA, and subsequently with the recently developed Multiple Detrended Cross-Correlation Coefficient, $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2. We use the hourly data from three meteorological stations of the Brazilian Institute of Meteorology located in the state of Bahia (Brazil). Initially, with the original data, we set up a color map for each variable to show the time dynamics. After, ρDCCA was calculated, thus obtaining a positive value between the global solar radiation and air temperature, and a negative value between the global solar radiation and air relative humidity, for all time scales. Finally, for the first time, was applied $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2 to analyze cross-correlations between three meteorological variables at the same time. On taking the global radiation as the dependent variable, and assuming that $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}={\bf{1}}$$DMCx2=1 (which varies from 0 to 1) is the ideal value for the capture of solar energy, our analysis finds some patterns (differences) involving these meteorological stations with a high intensity of annual solar radiation.

scholarly journals A Modified Method to Generate Typical Meteorological Years from the Long-Term Weather Database

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Haixiang Zang ◽  
Qingshan Xu ◽  
Pengwei Du ◽  
Katsuhiro Ichiyanagi
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Solar Energy ◽  
Atmospheric Pressure ◽  
Energy Systems ◽  
Global Solar Radiation ◽  
Weather Data ◽  
Radiation Data ◽  
Modified Method

A modified typical meteorological year (TMY) method is proposed for generating TMY from practical measured weather data. A total of eleven weather indices and novel assigned weighting factors are applied in the processing of forming the TMY database. TMYs of 35 cities in China are generated based on the latest and accurate measured weather data (dry bulb temperature, relative humidity, wind velocity, atmospheric pressure, and daily global solar radiation) in the period of 1994–2010. The TMY data and typical solar radiation data are also investigated and analyzed in this paper, which are important in the utilizations of solar energy systems.

scholarly journals Technology of production of polystyrene concrete using solar energy

2018 ◽  
Vol 251 ◽  
pp. 01003
Author(s):  
Lyazat Aruova ◽  
Nabi Dauzhanov ◽  
Zhumabeke Ospanova ◽  
Shamshygaim Toleubayeva ◽  
Aizhan Utkelbaeva
Keyword(s):  
Thermal Treatment ◽  
Solar Energy ◽  
Building Materials ◽  
Weather Conditions ◽  
Temperature Treatment ◽  
Climatic Conditions ◽  
Practical Implementation ◽  
Manufactured Products ◽  
The Republic ◽  
Technology Of Production

The energy of solar radiation is a powerful energy reserve at the surface of the globe which is about twenty billion kW. This amount of energy is more than 100 times greater than the amount of necessary energy for the whole planet; besides the usage of this powerful energy radiator is not associated with polluting substances that pollute the planet. The usage of solar energy nowadays is very important, as the problem of using traditional energy resources is especially acute, because of their irreplaceability and increase in their cost. At the plants of the Republic of Kazakhstan for the industrial production of building materials today, a trend is outlined for the use of non-traditional types of energy, and mainly solar energy at the stage of heat treatment, where steam heating was traditionally used. In these researches, development in the direction of temperature treatment of polystyrene concrete was considered. The purpose of the research is the development and practical implementation of the technology of production of polystyrene using solar energy. The results of the conducted researches confirmed that the usage of solar thermal treatment methods for the thermal treatment of polystyrene concrete is effective in weather conditions for the southern regions of the Republic of Kazakhstan which refers to areas with dry and hot climatic conditions. Detailed studies of polystyrene concrete under high-temperature weather conditions have been carried out and introduced into production. The usage of heliotechnology for the production of polystyrene concrete improves the quality of manufactured products, also makes it possible to reduce the energy costs of traditional energy covered by the use of solar energy.

The Influence of Date of Oviposition and Climatic Conditions on Hatching of Camnula pellucida (Scudder) (Orthoptera: Acrididae)

1966 ◽  
Vol 98 (11) ◽  
pp. 1145-1159 ◽  
Author(s):  
R. Pickford
Keyword(s):  
Embryonic Development ◽  
Snow Cover ◽  
Temperature Regime ◽  
Low Temperatures ◽  
Extended Period ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Soil Conditions ◽  
Soil Temperatures ◽  
Dry Soil

AbstractField and laboratory hatching experiments were conducted from 1960 through 1963 with eggs of Camnula pellucida (Scudder) laid in field cages and collected at fortnightly intervals. Before freeze-up, embryonic development usually reached prediapause level in all eggs laid before the middle of August; these eggs were the first to hatch when incubated in the laboratory or when left in the soil outdoors. Eggs laid later than mid-August showed progressively less embryonic development and consequently hatched later. Viability was highest in eggs laid during the latter half of August; those laid early in the season often suffered from desiccation because of their long exposure to dry soil conditions; those laid towards the end of the season showed declining viability caused, apparently, by low temperatures. The percentage hatch was relatively high in eggs laid before the end of August but declined progressively thereafter; those laid in October rarely hatched. Seasonal hatching patterns were largely dependent upon weather conditions; such patterns were rapidly completed when an extended period of hot, dry weather continued through the hatching period, but often extended intermittently over a month or more when weather was unsettled. The typical diurnal hatching pattern, which also closely followed the temperature regime, commenced in the morning at 0900–1000 hours as soil temperatures exceeded 65°F., rising to a peak about 1100–1200 hours when temperatures reached 85°F., and then generally declined during the afternoon. However, during rapidly changing weather conditions hatching frequently started and stopped as skies cleared and again clouded over. Winter kill occasionally may be an important factor in reducing populations, especially when snow cover is removed by a mid-winter thaw and sub-zero temperatures follow.

scholarly journals ANALYSIS OF THE ENERGY POTENTIAL OF SOLAR LIGHT OF THE WESTERN REGION OF UKRAINE WITH THE ACCOUNT OF CLIMATIC CONDITIONS

2017 ◽  
Vol 4 ◽  
pp. 25-32 ◽  
Author(s):  
Vladimir Andreychuk ◽  
Yaroslav Filyuk
Keyword(s):  
Energy Density ◽  
Solar Radiation ◽  
Solar Energy ◽  
Flux Density ◽  
Average Density ◽  
Electrical Circuit ◽  
Climatic Conditions ◽  
Western Region ◽  
Energy Potential ◽  
The Western Region

An experimental facility for measuring and recording the flux density of solar radiation is designed and installed. An electrical circuit is developed and a pyranometer model is developed to measure the level of solar radiation, and it is graduated with a Soler Power Meter DT-1307 solar radiation flux meter. The time distribution of the flux density of solar energy is analyzed and the surface energy density of solar radiation is calculated for Ternopil. The influence of climatic conditions on the energy of solar radiation is determined. Analytical dependencies are obtained on the basis of comparison of the measured values of the flux density of solar radiation and the cloud cover taken from meteorological services. The energy potential of solar radiation during 2012-2015 in the western region of Ukraine is calculated, as well as the average monthly and average annual energy density of solar radiation. It is determined that the annual average density of the solar energy flux is 1045.9 kW∙h/m2, and its deviation does not exceed 5%. It is shown that the most favorable months for the use of solar energy are from March to September of each year.

scholarly journals Modern meteorological observations for aviation purposes

2018 ◽  
Keyword(s):  
Air Temperature ◽  
Wind Direction ◽  
Atmospheric Pressure ◽  
Atmospheric Precipitation ◽  
Weather Conditions ◽  
Temporal Analysis ◽  
Aerodynamic Characteristics ◽  
Meteorological Conditions ◽  
International Standards ◽  
Favorable Weather

The purpose of this article. Meteorological support for aviation is a component of the safety systems. With the development of aviation technology, the requirements for it are growing. Today, aviation remains the most demanding user of meteorological information. The main parameters that affect the aircraft’s aerodynamic characteristics include air temperature, wind direction, atmospheric pressure, the height of the lower cloud boundary, the amount of precipitation and the frequency of dangerous meteorological phenomena. The aim of the study is a spatio-temporal analysis of meteorological parameters at the air base Chuguiv, Kharkiv region. Main material. Time series of daily average, average monthly air temperature, relative humidity, cloudiness, atmospheric pressure, atmospheric precipitation, wind direction and frequency of dangerous meteorological phenomena for the period 2008-2017 were processed as initial data. Changes in meteorological values during the year, season and month were studied. Favorable weather conditions for flights have been determined. Recommendations are developed regarding the performance of flights under various weather conditions. To date, many different aircraft flight models have been developed in non-standard weather situations. In T.V.Safonova’s work the forecast of the indicators of airports functioning and flights on routes in difficult meteorological conditions is considered. Consequently, aviation must have timely meteorological information increasing the safety, regularity and economy of flights for effective implementation of practical tasks. Conclusions. Analysis of the literature has showed that complex meteorological conditions create critical situations on routes and require further detailed study. To maintain a high level of meteorological service for aviation that meets international standards, it is necessary to conduct scientific and applied research in the field of aviation climatology and improve existing methods of aviation forecasting.

Selection of an Information Source and Methodology for Calculating Solar Resources of the Kyrgyz Republic

2020 ◽  
pp. 236-272
Author(s):  
Alisher F. Narynbaev ◽  
Baatai M. Maksatov ◽  
Alexey Gennad'evich Vaskov ◽  
Galina V. Deryugina ◽  
Roman V. Pugachev
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Information Source ◽  
Global Solar Radiation ◽  
Climatic Conditions ◽  
Empirical Models ◽  
Kyrgyz Republic ◽  
Detailed Data ◽  
Grid Systems ◽  
Selection Of

Detailed data on incoming solar radiation are needed in the design of solar energy systems of any scale: from large PV plants to small off-grid systems. However, in most cases, obtaining data on measurements of solar radiation is connected with difficulties due to financial or technical restrictions. Often, ground-based measurements of solar radiation are either not carried out at all or only the value of the global horizontal intensity of solar radiation is measured. The aim of the present study is to review and to verify some existing empirical models of the global solar radiation and its components for the climatic conditions of Kyrgyzstan as well as to estimate the applicability of Meteonorm database model for the available solar radiation in the territory of Kyrgyzstan. The necessity to select the most suitable models of the solar radiation is called by the lack of similar studies on this direction for the conditions of the country.

Modeling of air temperatures using a combination of TBATS and SVM models for various climatic locations in Europe

2020 ◽  
Author(s):  
Magdalena Gos ◽  
Piotr Baranowski ◽  
Jaromir Krzyszczak ◽  
Małgorzata Murat ◽  
Iwona Malinowska
Keyword(s):  
Time Series ◽  
State Space ◽  
Air Temperature ◽  
Weather Conditions ◽  
Exponential Smoothing ◽  
Climatic Conditions ◽  
State Space Models ◽  
Temperate Climate ◽  
Support Vector ◽  
Air Temperatures

<p>By modelling and forecasting  of meteorological  time  series it is possible to  improve   understanding  of  the  weather dynamics and fluctuations as a result of climate change . The most frequently used forecasting models are exponential smoothing, ARIMA models (Box and Jenkins, 1970), state-space models (Harvey, 1989) and innovations State Space Models (Hyndman et al., 2008).</p><p>The aim of this study was to check the effectiveness of the coupled TBATS and Support Vector Machines (SVM) model, supplied with some measured meteorological quantities to forecast air temperature for six years for four climatic localizations in Europe. The study was calculated from northern (Jokioinen in Finland), central (Dikopshof located in the west part of Germany and Nossen in the south part of Germany) and southern (Lleida in Spain) Europe to present different climatic conditions. Jokioinen city has a subarctic climate that has severe winters, with cool and short summers and strong seasonality. Lleida has a semi-arid climate with Mediterranean. Dikopshof represents maritime temperate climate. There are significant precipitation throughout the year in Dikopshof and Nossen. In the study we study on air temperature dataset collected on a daily basis from January 1st 1980 to December 31st 2010 (11322 days).</p><p>For all the studied sites coupled TBATS/SVM models occurred to be effective in predicting air temperature courses, giving an improved precision (up to 25%) in forecasting of the seasonality and local temperature variations, compared to pure SVM or TBATS modelling. The precision of prediction of the maximum and minimum air temperatures strongly depended on the dynamics of the weather conditions, and varied for different climatic zones.</p><p>This study has been partly financed from the funds of the Polish National Centre for Research and Development in frame of the project: MSINiN, contract number: BIOSTRATEG3/343547/8/NCBR/2017.</p><p> </p><p>Reference to a journal publication:</p><p>BOX, G.E.P. – Jenkins, G. 1970. Time Series Analysis: forecasting and control. Holden-Day, p. 20-31.</p><p>HARVEY A. 1989. Forecasting Structural Time Series Model and the Kalman Filter. New York, Cambridge University press., p. 32-41.</p><p>HYNDMAN, R.J. – KOEHLER, A.B. – ORD, J.K. – SNYDER, R.D. 2008. Forecasting with Exponential Smoothing: The State Space Approach. Springer-Verlag, p. 50-62.</p>

scholarly journals Meteofactors and admittance of patients with atrial fibrillation for emergency medical care

2018 ◽  
Vol 18 (3) ◽  
pp. 64-68
Author(s):  
V A Belyayeva
Keyword(s):  
Atrial Fibrillation ◽  
Medical Care ◽  
Air Temperature ◽  
Atmospheric Pressure ◽  
Meteorological Parameters ◽  
Meteorological Factors ◽  
Weather Conditions ◽  
Emergency Medical Care ◽  
Emergency Medical ◽  
Negative Effect

This study presents the results of a retrospective analysis of the challenges of patients with atrial fibrillation (AF) for ambulance medical care depending on weather conditions and season. Aim. This study aimed to evaluate the effect of meteorological factors on addressing of patients with AF for emergency medical care in the context of seasonal dynamics. Materials. Archival cards of ambulance calls in the winter, spring, and summer 2012 and the corresponding databases of average daily meteorological parameters, day-to-day changes (∆), and pathogenicity indices were used: air temperature (it), atmospheric pressure (iр), humidity (ih), wind speed (iv), cloudiness (in), and general weather pathogenicity index (IWP). Results. In winter, the most significant negative effect is caused by fluctuations in meteo-factors: average daily air temperature and atmospheric pressure, it, ∆p, IWP; in spring were the average daily air temperature and atmospheric pressure, it, i∆t; in summer was i∆t. The response of the population to AF for medical care in the winter (6.7 ± 0.5 person/day) and spring (6.9 ± 0.4 person/day) is higher than that in summer (5.2 ± 0.5 person/day). Conclusion. The maximum number of correlation links between the frequency of ambulance medical care calls and meteorological factors is present in the winter and spring and has gender and season specifics. Seasonality factor affects the treatment of patients with AF for emergency medical care.

scholarly journals Solar energy storage by grain crops

2020 ◽  
Vol 82 (1) ◽  
pp. 59-63
Author(s):  
G. S. Kudryashev ◽  
I. V. Dykus ◽  
S. V. Batishchev
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Spring Barley ◽  
Weather Conditions ◽  
High Yield ◽  
Radiation Balance ◽  
Forage Crops ◽  
Grain Crops ◽  
Irkutsk Region ◽  
The Crimea

Irkutsk region is rich in land that is suitable for agricultural activities. The total sown area of agricultural crops in the Irkutsk region is 759 thousand hectares (2019). The main place is occupied by grain and leguminous crops, the total area of which is 540 thousand hectares (71.1%). In their structure, the first place belongs to spring wheat, the second place is taken by spring barley, the third-by oats. Due to the need to strengthen the feed base, forage crops play an increasing role. Yield depends on many factors, primarily weather conditions. For photosynthesis, plant crops need sunlight. By the number of Sunny days, the Irkutsk region is not inferior to the Crimea. There are 221 Sunny days per year. If weather conditions are correctly predicted, a high yield can be achieved. To assess the absorption of solar energy by grain crops, the radiation balance was considered in this article. Photosynthetic plant pigments absorb light and convert it from solar energy to chemical energy, which results in active plant growth. To forecast the future harvest, it is necessary to calculate the intensity and duration of solar radiation, which is the most important condition for further production of agricultural products. A study was conducted on the effectiveness of using insolation in the Irkutsk region for sowing wheat. The radiation balance was compiled, which allowed us to identify the maximum solar radiation favorable for wheat growth. To determine the amount of effective radiation, measurements were made of soil temperature, air humidity, and meteorological conditions in the Irkutsk region.

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