The Course of the Atmospheric Pressure in Lublin in the Years 1951–2010 / Przebieg ciśnienia atmosferycznego w Lublinie w latach 1951–2010

2014 ◽  
Vol 69 (2) ◽  
Author(s):  
Anna Bilik ◽  
Bożena Gawęda ◽  
Andrzej Gluza ◽  
Krzysztof Siwek
Keyword(s):  
Atmospheric Pressure ◽  
Average Pressure ◽  
Monthly Variation ◽  
Mean Values ◽  
Level Of Activity ◽  
Meteorological Observatory ◽  
Different Seasons ◽  
Autumn And Winter ◽  
Range Of Variation

AbstractThe paper presents the general characteristics of the monthly, seasonal and annual course of atmospheric pressure in Lublin for the years 1951-2010. Some data used comes from UMCS Meteorological Observatory located in the centre of Lublin. Measurements were performed using a mercury barometer located in the building at a height of 206.4 m and 11.1 m above the ground, three times a day, at 7.00, 13.00 and 21.00 local solar average time. Annual, seasonal and monthly mean values of atmospheric pressure at the station level were calculated. Also values of deviations from the long-term values of average pressure were calculated. Long-term average atmospheric pressure in Lublin in the years 1951-2010 was 991.5 hPa. This value varied from 989.0 hPa in 2010 to 994.2 hPa in 1953. The annual highest average monthly value was recorded in October and the lowest in April. The range of average monthly variation is 5.2 hPa. The highest monthly range of variation was in December - 27.5 hPa and in February (22.8 hPa), and the lowest in June - 8.2 hPa and in September - 9.9 hPa. As far as different seasons of the year are concerned, the highest average pressure values were recorded in autumn and winter. In spring and summer, these values were similar and the lowest as well. Pressure values and their changes during the year depend on the position and the level of activity the main centres of the atmosphere pressure in Europe.

scholarly journals Cross-seasonal Experimental Study on the Comprehensive Performance of C-Si PV Window

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5684
Author(s):  
Wei Zhang ◽  
Wei Wang ◽  
Lingzhi Xie ◽  
Hao Tian ◽  
Mo Chen ◽  
...  
Keyword(s):  
High Efficiency ◽  
Average Power ◽  
Experimental Tests ◽  
Different Seasons ◽  
Long Term Experiment ◽  
Outdoor Test ◽  
Simulation Estimation ◽  
High Level ◽  
Autumn And Winter

PV windows can potentially produce electricity, reduce the air-conditioning load, and provide natural light. Cross-seasonal experimental tests for long period could eliminate the gap between real outdoor test and simulation estimation. In this research, the lighting-thermal-electricity performance of high-efficiency c-silicon PV windows was tested, and the improvement has been put forward according to the conditions. The long-term experiment was conducted cross different seasons, including summer, autumn, and winter seasons. The highest average power generation, 50W/m2, could be found in autumn. The average outside surface temperature of the PV window would reach 48 °C in sunny days in the autumn, which was higher than other seasons. Although the c-Si PV window maybe block the partial daylighting, the daylighting requirement still could be satisfied with the most days. Furthermore, the average Useful Daylight Illuminance was the highest in summer up to 0.79, and the average illumination uniform could be achieved at a high level in all seasons. For the improvement suggestions, some measures could be taken to reduce the indoor cooling load in summer. During winter, appropriate inner shading measures might be taken to prevent excessive illumination in the building, and allow the electricity and thermal performance of PV window.

scholarly journals Long-term measurement of sub-3 nm particles and their precursor gases in the boreal forest

2021 ◽  
Vol 21 (2) ◽  
pp. 695-715
Author(s):  
Juha Sulo ◽  
Nina Sarnela ◽  
Jenni Kontkanen ◽  
Lauri Ahonen ◽  
Pauli Paasonen ◽  
...  
Keyword(s):  
Sulfuric Acid ◽  
Boreal Forest ◽  
Atmospheric Pressure ◽  
Particle Formation ◽  
New Particle Formation ◽  
Seasonal Differences ◽  
Size Classes ◽  
Autumn And Winter ◽  
Long Term Measurement

Abstract. The knowledge of the dynamics of sub-3 nm particles in the atmosphere is crucial for our understanding of the first steps of atmospheric new particle formation. Therefore, accurate and stable long-term measurements of the smallest atmospheric particles are needed. In this study, we analyzed over 5 years of particle concentrations in size classes 1.1–1.7 and 1.7–2.5 nm obtained with the particle size magnifier (PSM) and 3 years of precursor vapor concentrations measured with the chemical ionization atmospheric pressure interface time-of-flight mass spectrometer (CI-APi-ToF) at the SMEAR II station in Hyytiälä, Finland. The results show that there are significant seasonal differences in median concentrations of sub-3 nm particles, but the two size classes behave partly differently. The 1.1–1.7 nm particle concentrations are highest in summer, while the 1.7–2.5 nm particle concentrations are highest in springtime. The 1.7–2.5 nm particles exhibit a daytime maximum in all seasons, while the 1.1–1.7 nm particles have an additional evening maximum during spring and summer. Aerosol precursor vapors have notable diurnal and seasonal differences as well. Sulfuric acid and highly oxygenated organic molecule (HOM) monomer concentrations have clear daytime maxima, while HOM dimers have their maxima during the night. HOM concentrations for both monomers and dimers are the highest during summer and the lowest during winter following the biogenic activity in the surrounding forest. Sulfuric acid concentrations are the highest during spring and summer, with autumn and winter concentrations being 2 to 3 times lower. A correlation analysis between the sub-3 nm concentrations and aerosol precursor vapor concentrations indicates that both HOMs (particularly their dimers) and sulfuric acid play a significant role in new particle formation in the boreal forest. Our analysis also suggests that there might be seasonal differences in new particle formation pathways that need to be investigated further.

scholarly journals Long-term measurement of sub-3nm particles and their precursor gases in the boreal forest

2020 ◽  
Author(s):  
Juha Sulo ◽  
Nina Sarnela ◽  
Jenni Kontkanen ◽  
Lauri Ahonen ◽  
Pauli Paasonen ◽  
...  
Keyword(s):  
Sulfuric Acid ◽  
Boreal Forest ◽  
Atmospheric Pressure ◽  
Particle Formation ◽  
Photochemical Activity ◽  
New Particle Formation ◽  
Seasonal Differences ◽  
Autumn And Winter ◽  
Long Term Measurement

Abstract. The knowledge of the dynamics of sub-3nm particles in the atmosphere is crucial for our understanding of first steps of atmospheric new particle formation. Therefore, accurate and stable long-term measurements of the smallest atmospheric particles are needed. In this study, we analyzed over five years of particle concentrations in size classes 1.1–1.3 nm, 1.3–1.7 nm and 1.7–2.5 nm obtained with the Particle Size Magnifier (PSM) and three years of precursor vapor concentrations measured with the Chemical Ionization Atmospheric Pressure Interface Time-of-Flight mass spectrometer (CI-APi-ToF) at the SMEAR II station in Hyytiälä, Finland. The results show that the 1.1–1.3 nm particle concentrations have a daytime maximum during all seasons, which is due to increased photochemical activity. There are significant seasonal differences in median concentrations of 1.3–1.7 nm and 1.7–2.5 nm particles, underlining the different frequency of new particle formation between seasons. In particular, concentrations of 1.3–1.7 nm and 1.7–2.5 nm particles are notably higher in spring than during other seasons. Aerosol precursor vapors have notable diurnal and seasonal differences as well. Sulfuric acid and highly oxygenated organic molecule (HOM) monomer concentrations have clear daytime maxima, while HOM dimers have their maxima during the night. HOM concentrations for both monomers and dimers are the highest during summer and the lowest during winter. Higher median concentrations during summer result from increased biogenic activity in the surrounding forest. Sulfuric acid concentrations are the highest during spring and summer, with autumn and winter concentrations being two to three times lower. A correlation analysis between the sub-3nm concentrations and aerosol precursor vapor concentrations indicates that HOMs, particularly their dimers, and sulfuric acid play a significant role in new particle formation in the boreal forest. Our analysis also suggests that there might be seasonal differences in new particle formation pathways that need to be investigated further.

Comparative Study of effectiveness of mobilization with movement (MWM) and End range mobilization (ERM) techniques in frozen shoulder

2018 ◽  
Vol 4 (4) ◽  
pp. 519-522
Author(s):  
Jeyakumar S ◽  
Jagatheesan Alagesan ◽  
T.S. Muthukumar
Keyword(s):  
Range Of Motion ◽  
Frozen Shoulder ◽  
Type I ◽  
Mean Values ◽  
Functional Activities ◽  
Group A ◽  
The Mean ◽  
Group B

Background: Frozen shoulder is disorder of the connective tissue that limits the normal Range of motion of the shoulder in diabetes, frozen shoulder is thought to be caused by changes to the collagen in the shoulder joint as a result of long term Hypoglycemia. Mobilization is a therapeutic movement of the joint. The goal is to restore normal joint motion and rhythm. The use of mobilization with movement for peripheral joints was developed by mulligan. This technique combines a sustained application of manual technique “gliding” force to the joint with concurrent physiologic motion of joint, either actively or passively. This study aims to find out the effects of mobilization with movement and end range mobilization in frozen shoulder in Type I diabetics. Materials and Methods: 30 subjects both male and female, suffering with shoulder pain and clinically diagnosed with frozen shoulder was recruited for the study and divided into two groups with 15 patients each based on convenient sampling method. Group A patients received mobilization with movement and Group B patients received end range mobilization for three weeks. The outcome measurements were SPADI, Functional hand to back scale, abduction range of motion using goniometer and VAS. Results: The mean values of all parameters showed significant differences in group A as compared to group B in terms of decreased pain, increased abduction range and other outcome measures. Conclusion: Based on the results it has been concluded that treating the type 1 diabetic patient with frozen shoulder, mobilization with movement exercise shows better results than end range mobilization in reducing pain and increase functional activities and mobility in frozen shoulder.

scholarly journals A 16-year prospective cohort study to evaluate effects of long-term fluctuations in obesity indices of prediabetics on the incidence of future diabetes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shahla Safari ◽  
Maryam Abdoli ◽  
Masoud Amini ◽  
Ashraf Aminorroaya ◽  
Awat Feizi
Keyword(s):  
High Risk ◽  
Transition Probabilities ◽  
Clinical Settings ◽  
High Tendency ◽  
Mean Values ◽  
Latent Markov Model ◽  
Term Evaluation ◽  
Obesity Indices

AbstractThis study aimed to evaluate the patterns of changes in obesity indices over time in prediabetic subjects and to classify these subjects as either having a low, moderate, and high risk for developing diabetes in the future. This study was conducted among 1228 prediabetics. The patterns of changes in obesity indices based on three measurements including first, mean values during the follow-up period, and last visit from these indices were evaluated by using the latent Markov model (LMM). The mean (standard deviation) age of subjects was 44.0 (6.8) years and 73.6% of them were female. LMM identified three latent states of subjects in terms of change in all anthropometric indices: a low, moderate, and high tendency to progress diabetes with the state sizes (29%, 45%, and 26%), respectively. LMM showed that the probability of transitioning from a low to a moderate tendency to progress diabetes was higher than the other transition probabilities. Based on a long-term evaluation of patterns of changes in obesity indices, our results reemphasized the values of all five obesity indices in clinical settings for identifying high-risk prediabetic subjects for developing diabetes in future and the need for more effective obesity prevention strategies.

scholarly journals Maps, trends, and temperature sensitivities—phenological information from and for decreasing numbers of volunteer observers

2021 ◽  
Author(s):  
Ye Yuan ◽  
Stefan Härer ◽  
Tobias Ottenheym ◽  
Gourav Misra ◽  
Alissa Lüpke ◽  
...  
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Strong Decrease ◽  
Temperature Changes ◽  
Interpolation Accuracy ◽  
Observation Network ◽  
Shiny App ◽  
Long Term Trends ◽  
Autumn And Winter

AbstractPhenology serves as a major indicator of ongoing climate change. Long-term phenological observations are critically important for tracking and communicating these changes. The phenological observation network across Germany is operated by the National Meteorological Service with a major contribution from volunteering activities. However, the number of observers has strongly decreased for the last decades, possibly resulting in increasing uncertainties when extracting reliable phenological information from map interpolation. We studied uncertainties in interpolated maps from decreasing phenological records, by comparing long-term trends based on grid-based interpolated and station-wise observed time series, as well as their correlations with temperature. Interpolated maps in spring were characterized by the largest spatial variabilities across Bavaria, Germany, with respective lowest interpolated uncertainties. Long-term phenological trends for both interpolations and observations exhibited mean advances of −0.2 to −0.3 days year−1 for spring and summer, while late autumn and winter showed a delay of around 0.1 days year−1. Throughout the year, temperature sensitivities were consistently stronger for interpolated time series than observations. Such a better representation of regional phenology by interpolation was equally supported by satellite-derived phenological indices. Nevertheless, simulation of observer numbers indicated that a decline to less than 40% leads to a strong decrease in interpolation accuracy. To better understand the risk of declining phenological observations and to motivate volunteer observers, a Shiny app is proposed to visualize spatial and temporal phenological patterns across Bavaria and their links to climate change–induced temperature changes.

scholarly journals AB0546 5 YEARS FOLLOW-UP OF PSORIATIC ARTHRITIS PATIENTS TREATED ACCORDING TREAT-TO-TARGET STRATEGY. PRELIMINARY RESULTS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1306.1-1306
Author(s):  
P. Tremaskina ◽  
E. Loginova ◽  
T. Korotaeva ◽  
S. Glukhova ◽  
A. Lila
Keyword(s):  
Psoriatic Arthritis ◽  
Disease Activity ◽  
Standard Care ◽  
Early Stage ◽  
Treat To Target ◽  
Moderate Activity ◽  
Long Term Outcomes ◽  
Mean Values

Background:The concept of treat to target (T2T) in psoriatic arthritis (PsA) has been established recently and already shown its benefits [1]. But the long-term outcomes of the T2T have not been studied yet.Objectives:To study 5 years (yrs) follow-up of PsA patients (pts) treated according to T2T strategy at the early stage.Methods:35 (M/F–17/18) PsA pts fulfilling CASPAR criteria, who were treated according to T2T strategy at the early stage (PsA duration≤2 yrs) within 24 months (mos) were analyzed. At the time of evaluation mean age is 42.7±11.2 yrs, median (Me) PsA duration 72 [60;95] mos, psoriasis duration 120 [88;180] mos. All pts underwent standard clinical examinations of PsA before started T2T therapy and at follow-up. Within 24 mos of T2T strategy all pts were taking Methotrexate (MTX) monotherapy in increasing dose up to 25 mg/wk and 18 out of 35 (51%) pts received MTX in combination with iTNF. When T2T study was stopped all pts were treated according to standard care with NSAIDs, bDMARDs, MTX, tsDMARDs based on PsA activity and physician decision. The number of pts achieved minimal disease activity (MDA, 5 of 7) and remission by DAPSA (≤4)/low disease activity (LDA)≤14) at the 24 mos of T2T strategy and at 5 yrs follow-up were calculated. The results are presented in the form of mean values, median, upper and lower quartiles.Results:Me duration of follow-up is 68 [53.5;81.5] mos. At 24 mos Me DAPSA 3.48 [0.45;21.76], remission by DAPSA (REM-DAPSA) were seen in 20 out of 35 (57%) pts, LDA-DAPSA in 4 (12%) pts, moderate activity (MoA) by DAPSA in 6 (17%) pts and high disease activity by DAPSA (HDA-DAPSA) in 5 (14%) pts. MDA was noted in 21 out of 35 (60%) pts. At 5 yrs Me DAPSA 7.4 [2.22;13.87], REM-DAPSA was noted in 12 (34%) pts, LDA-DAPSA in 14 (40%), MoA-DAPSA in 5 (14%), HDA-DAPSA in 4 (12%) pts. MDA was observed in 17 of 35 pts (49%). Among 20 pts who had REM-DAPSA at 24 mos only 6 pts (30%) remained in remission at 5 yrs follow-up and 12 out of 21 pts (57.14%) remained in MDA status.Conclusion:In early PsA pts remission and MDA are achievable goal of T2T strategy. But most pts lost remission/MDA after this strategy was changed to a standard care, despite being in remission/MDA status before change of therapy. Further investigations of the long-term outcomes of T2T strategy in PsA, including radiographic outcomes are needed.References:[1]Coates LC, Moverley AR, McParland L, et al. Lancet 2015; 386: 2489–98.Disclosure of Interests:None declared.

Enhanced Long-Term Color Stability of Teeth Treated with Hydrogen Peroxide and Non-Thermal Atmospheric Pressure Plasma Jets

2014 ◽  
Vol 11 (11) ◽  
pp. 1010-1017 ◽  
Author(s):  
Seoul Hee Nam ◽  
Hyun Wook Lee ◽  
Jin Woo Hong ◽  
Hae June Lee ◽  
Gyoo Cheon Kim
Keyword(s):  
Hydrogen Peroxide ◽  
Atmospheric Pressure ◽  
Atmospheric Pressure Plasma ◽  
Color Stability ◽  
Plasma Jets ◽  
Pressure Plasma

scholarly journals Climatological and statistical characteristics of the Haines Index for North America

2007 ◽  
Vol 16 (2) ◽  
pp. 139 ◽  
Author(s):  
Julie A. Winkler ◽  
Brian E. Potter ◽  
Dwight F. Wilhelm ◽  
Ryan P. Shadbolt ◽  
Krerk Piromsopa ◽  
...  
Keyword(s):  
North America ◽  
Spatial Variability ◽  
Atmospheric Pressure ◽  
Statistical Characteristics ◽  
Potential Contribution ◽  
Extensive Analysis ◽  
Temperature And Humidity ◽  
Humidity Measurements ◽  
Operational Tool

The Haines Index is an operational tool for evaluating the potential contribution of dry, unstable air to the development of large or erratic plume-dominated wildfires. The index has three variants related to surface elevation, and is calculated from temperature and humidity measurements at atmospheric pressure levels. To effectively use the Haines Index, fire forecasters and managers must be aware of the climatological and statistical characteristics of the index for their location. However, a detailed, long-term, and spatially extensive analysis of the index does not currently exist. To meet this need, a 40-year (1961–2000) climatology of the Haines Index was developed for North America. The climatology is based on gridded (2.5° latitude × 2.5° longitude) temperature and humidity fields from the NCEP/NCAR reanalysis. The climatology illustrates the large spatial variability in the Haines Index both within and between regions using the different index variants. These spatial variations point to the limitations of the index and must be taken into account when using the Haines Index operationally.

scholarly journals Long-Term Changes in Solar Shortwave Irradiance Due to Different Atmospheric Factors According to Measurements and Reconstruction Model in Northern Eurasia

2020 ◽  
Vol 4 (1) ◽  
pp. 5
Author(s):  
Elena Volpert ◽  
Natalia Chubarova
Keyword(s):  
Optical Thickness ◽  
Cloud Amount ◽  
Shortwave Radiation ◽  
Northern Eurasia ◽  
Factors Affecting ◽  
Meteorological Observatory ◽  
Cloud Optical Thickness ◽  
Reconstruction Model ◽  
Good Agreement

The temporal variability of solar shortwave radiation (SSR) has been assessed over northern Eurasia (40°–80° N; 10° W–180° E) by using an SSR reconstruction model since the middle of the 20th century. The reconstruction model estimates the year-to-year SSR variability as a sum of variations in SSR due to changes in aerosol, effective cloud amount and cloud optical thickness, which are the most effective factors affecting SSR. The retrievals of year-to-year SSR variations according to different factors were tested against long-term measurements in the Moscow State University Meteorological Observatory from 1968–2016. The reconstructed changes show a good agreement with measurements with determination factor R2 = 0.8. The analysis of SSR trends since 1979 has detected a significant growth of 2.5% per decade, which may be explained by its increase due to the change in cloud amount (+2.4% per decade) and aerosol optical thickness (+0.4% per decade). The trend due to cloud optical thickness was statistically insignificant. Using the SSR reconstruction model, we obtained the long-term SSR variability due to different factors for the territory of northern Eurasia. The increasing SSR trends have been detected on most sites since 1979. The long-term SSR variability over northern Eurasia is effectively explained by changes in cloud amount and, in addition, by changes in aerosol loading over the polluted regions. The retrievals of the SSR variations showed a good agreement with the changes in global radiance measurements from the World Radiation Data Center (WRDC) archive. The work was supported by RFBR grant number 18-05-00700.

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