scholarly journals Cladosporium spores in the air of Szczecin

2012 ◽  
Vol 60 (2) ◽  
pp. 99-104 ◽  
Author(s):  
Agnieszka Grinn-Gofroń
Keyword(s):  
Seasonal Variation ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Meteorological Parameters ◽  
Weather Conditions ◽  
Spore Count ◽  
Maximum Air Temperature

Moulds are common aeroallergens and <i>Cladosporium</i> is considered to be the most prevalent of them. The objective of the studies was to determine the seasonal variation in concentrations of <i>Cladosporium</i> spores due to meteorological parameters. The meteorological parameters analysed were maximum air temperature, relative humidity, amount of precipitation and wind speed. The greatest threat from <i>Cladosporium</i> allergens was posed from the middle of May (2004, 2006) and June (2005) till the middle of October (2005) and in the end of October (2004) till the middle of November (2006). Statistically significant correlations were found among the <i>Cladosporium</i> spore count in the air and maximum air temperature in all the analysed seasons, and amount of precipitation only in one season. The spore count of <i>Cladosporium</i> was determined by weather conditions, especially by air temperature.

scholarly journals THIRTEEN YEARS OF WEATHER STATISTICS AT SAN PEDRO MARTIR OBSERVATORY

2020 ◽  
Vol 56 (2) ◽  
pp. 295-319
Author(s):  
I. Plauchu-Frayn ◽  
E. Colorado ◽  
M. G. Richer ◽  
C. Herrera-Vázquez
Keyword(s):  
Seasonal Variation ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Summer Season ◽  
San Pedro ◽  
Weather Stations ◽  
Sierra San Pedro Martir ◽  
Rain Precipitation

We present weather statistics for thirteen years of data gathered with the meteorological stations at Observatorio Astronómico Nacional in the Sierra San Pedro Mártir (OAN-SPM) over the period 2007–2019. These weather stations include sensors that measure various climatological variables. The median values of the air temperature are 10.3° C and 7.0° C for daytime and nighttime, respectively. The relative humidity follows a seasonal variation with April-June being the driest months. The median values for the sustained wind speed are 11 and 14 km hr-1 for daytime and nighttime data, respectively. Preferred wind directions are SSW and North. Sustained winds are stronger at night and during December, January and February. The annual mean rain precipitation is 313 mm, most of which occurs during the summer season as afternoon thunderstorms.

Analysis of Atmospheric Pollutants in Bucharest in Correlation with Meteorological Parameters

2018 ◽  
Vol 69 (8) ◽  
pp. 2005-2011
Author(s):  
Marin Rusanescu ◽  
Carmen Otilia Rusanescu ◽  
Gigel Paraschiv
Keyword(s):  
Wind Speed ◽  
Sulfur Dioxide ◽  
Relative Humidity ◽  
Air Temperature ◽  
Wind Direction ◽  
Meteorological Parameters ◽  
Vertical Mixing ◽  
Average Concentration ◽  
Atmospheric Pollutants ◽  
Traffic Pollutants

In this paper we analyze the correlation between meteorological parameters (wind speed and direction, relative humidity, air temperature) and atmospheric pollutants in Bucharest during the cold period 26.02.2018-02.03.2018, which was based on the monitoring of the concentrations of nitrogen oxides, NO2, O3 and SO2 sulfur dioxide within 24 h and the occurrence of exceedances above the prescribed limit. It was found based on the results obtained that the wind direction influences not only the concentrations of pollutants but also the correlation between the pollutants. Traffic pollutants were at the highest concentration when the wind speed was low. We have found that the highest average concentration for NO2, NOx, NO, O3 occurred at 90% indicative humidity for vertical mixing of strong pollutants. Sulfur dioxide did not record exceeding over the limit standard in the analyzed period.

scholarly journals Statistical Comparative Study of the Trend and Variation of Meteorological Parameters in Abeokuta, South-West Nigeria

2019 ◽  
pp. 1-15
Author(s):  
M. A. Sodunke ◽  
M. O. Sulaimon ◽  
R. S. Sunmonu ◽  
A. Mabosanyinje ◽  
Y. B. Lawal ◽  
...  
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Comparative Study ◽  
Air Temperature ◽  
Coefficient Of Variation ◽  
Vapour Pressure ◽  
Meteorological Parameters ◽  
Significance Level ◽  
Significant Difference ◽  
The Mean

This study focuses on the statistical comparative study of the trend and variation of meteorological parameters covering a 10 year period (2001-2010) in the capital and largest city of Ogun State, Abeokuta, southwest region of Nigeria. The analyzed meteorological parameters were: wind speed, vapour pressure, relative humidity, temperature, sunshine and rainfall covering 10 years. The calculated coefficient of variation (CV) for sunshine (22.78%), wind speed (21.55%), and rainfall (99.12%) is a proof of exceedance of variability of threshold of 10% while the CV calculated for  air temperature (5.74%), relative humidity (4.52%) and vapour pressure (5.22%) show no significant variability. Significance test of meteorological parameters’ trend reveals a notable reduction in the values of vapour pressure, air temperature and relative humidity. It is, however, difficult to argue for a well-defined change in most of the meteorological parameters based on the monthly time series analyses performed in this work. Only wind speed shows a statistically significant increasing trend during the period of observation at 1% significance level. The trend revealed by rainfall and sunshine is statistically not significant. ANOVA test of significant difference among meteorological parameters show a p-value (Sig.) of 0.000 is an indication of the significant difference in the analyzed mean monthly coefficient of variation for the meteorological parameters under study. The Tukey’s multiple pair comparisons test, however, show that there is a significant difference between the mean monthly CV of rainfall–sunshine, rainfall-vapour pressure, rainfall-wind speed, rainfall-air temperature and rainfall-relative humidity. At the significance level of 5%, the calculated mean monthly CV of rainfall is significantly different from the mean monthly CV of other climatic parameters.

scholarly journals MODELING OF OZONE DUE TO WEATHER CONDITIONS

2013 ◽  
Vol 12 (1) ◽  
Author(s):  
Amaury De Souza ◽  
Hamilton Germano Pavão ◽  
José C.M. Pires ◽  
Ana Paula Garcia
Keyword(s):  
Seasonal Variation ◽  
Relative Humidity ◽  
Normal Distribution ◽  
Wind Direction ◽  
Meteorological Parameters ◽  
Weather Conditions ◽  
Meteorological Variables ◽  
Diurnal Cycles ◽  
Ozone Concentrations ◽  
Variation Patterns

Ozone concentrations are valuable indicators of possible health and environmental impacts. However, they are also used to monitor changes and trends in the sources of both ozone and its precursors. For this purpose, the influence of meteorological variables is a confusing factor. This study presents an analysis of 4 year of ozone concentrations measured in a Campo Grande-MS-Brazil city. Firstly, the aim of this study was to perceive the daily, monthly and seasonal variation patterns of ozone concentrations. Diurnal cycles are presented by season and the fit of the data to a normal distribution is tested. In order to assess ozone behaviour under weather conditions, local meteorological variables (wind direction and speed, temperature, relative humidity and rainfall) were monitored together with ozone concentrations. The main relationships we could observe in these analyses were then used to obtain a regression equation linking diurnal ozone concentrations with meteorological parameters. The developed model is capable of explaining over 70% of the variability in the ozone concentrations

scholarly journals The effect of meteorological conditions on hazel (Corylus spp.) and alder (Alnus spp.) pollen concentration in the air of Szczecin

2012 ◽  
Vol 60 (2) ◽  
pp. 65-70 ◽  
Author(s):  
Małgorzata Puc
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Pollen Season ◽  
Meteorological Parameters ◽  
Meteorological Conditions ◽  
Maximum Temperature ◽  
Pollen Count ◽  
Pollen Concentration ◽  
In The Beginning

The aim of the study was to determine seasonal variations in concentrations of hazel and alder pollen count due to meteorological parameters. Measurements were performed using the volumetric method. The analysed meteorological parameters were the maximum temperature, relative humidity, rainfall and wind speed. The beginning and end of a season were established by the 95 % method. During seven years of study, the highest concentration of hazel pollen in the air was noted in 2003 (the total number was two - three times higher than in the other years), with the pollen season starting in most years in the beginning of January and lasting till the end of March or beginning of April. The highest concentration of alder pollen in the air was noted in 2003, similarly as hazel pollen. The pollen season started in the beginning of January (in 2003 and 2006 in the beginning of March) and lasted till the turn of the March and April. The highest pollen count of 674 grains×m<sup>-3</sup> was observed in the end of March. A positive and statistically signifi cant correlation (Pearson's coeffi cient and multiple regression) was found between the hazel and alder pollen concentration and air temperature and wind speed. A negative correlation was found in case of the relative humidity. A lot of analysed correlations were signifi cant (significance level of p=0.05), although the percentage of explained variation (R<sup>2</sup>) was very low. Besides the individual rhythm of pollination, the meteorological conditions are the most important factors (mainly air temperature and wind speed) influencing the analysed pollen concentration in the air.

scholarly journals Influence of Meteorological Parameters on Air Quality at Hashemite University, Jordan

2017 ◽  
Vol 12 (2) ◽  
pp. 211-221
Author(s):  
Sana’a Odata ◽  
Abu- Allabanb ◽  
Khitam Odibatb
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Negative Correlation ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Positive Correlation ◽  
Hashemite University

Four threshold air pollutants (SO2, NO, NO2, and O3) in addition to meteorological parameters were monitored at the Campus of the Hashemite University (HU) for two years (1/1/2012 through 30/12/013). Correlations between air pollution and meteorological parameters were derived. The results showed that O3 has a positive correlation with air temperature, wind speed and wind direction, but has a negative correlation with the relative humidity (RH). SO2 was found to have a negative correlation with the RH and wind speed, but positive correlation with air temperature. NO has negative correlation with air temperature, RH, and wind speed. And finally, NO2 has a negative correlation with RH and wind speed, but it has positive correlation with air temperature. Justify the reasons in brief with recommendations to improve the air quality

scholarly journals Influence of Meteorological Parameters on Particle Pollution (PM2.5 and PM10) in the Tropical Climate of Port Harcourt, Nigeria

2019 ◽  
pp. 1-12
Author(s):  
Christopher U. Onuorah ◽  
Tambari G. Leton ◽  
Yusuf O. L. Momoh
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Meteorological Parameters ◽  
Atmospheric Stability ◽  
Pm10 Concentration ◽  
Trade Wind ◽  
North East ◽  
Port Harcourt ◽  
Pm2.5 And Pm10

Aims: This study explores the influence of meteorological parameters such as wind direction, wind speed, rainfall, air temperature and relative humidity on PM2.5 and PM10 concentration. Place and Duration of Study: The study was conducted in Woji, an urban area of Port Harcourt city in Nigeria, between May and December 2019 covering wet and dry season. Methodology: The PM10 and PM2.5 concentrations were monitored for 236 days using photometric laser based particulate monitor while meteorological parameters were collected using Misol weather station mounted 10m above ground at Woji monitoring location. Results: PM concentration for all the months under study were below USEPA 24-hr standard except the month of December with PM2.5 = 58.8 μg/m³ and PM10 = 164.5 μg/m³. The result showed a significant but positively strong correlation between PM2.5 and PM10 (r = 0.97, P < .001). The wind speed significantly influenced PM2.5 and PM10 concentration with a weak negative correlation (r = - 0.22 and -0.23) respectively at P < .001. Also, PM2.5 and PM10 concentration exhibited a weak negative but significant correlation with rainfall (r = - 0.05 and -0.05) and air temperature (r = - 0.12 and -0.14) respectively at P< .001. Relative humidity showed a weak negative but not significant correlation with PM2.5 concentration (r = - 0.01) while PM10 exhibited weak but significant correlation with relative humidity (r = 0.04). Conclusion: The PM concentration exceedances recorded in month of December could be attributed to dry dusty north east trade wind that comes with harmattan as well as high atmospheric stability which is associated with low wind speed. The study revealed that meteorological parameters such as temperature, wind speed and rainfall plays significant role in the reduction of particulate matter loading through air dispersion, atmospheric instability and washout process  while relative humidity increases PM10 concentration.

scholarly journals ALTERAÇÕES EM VARIÁVEIS AGROMETEOROLÓGICAS PELO USO DE ESTUFA PLÁSTICA

Irriga ◽  
2002 ◽  
Vol 7 (2) ◽  
pp. 130-141
Author(s):  
Reginaldo Ferreira Santos ◽  
Marcos Antonio Vilas Boas ◽  
Antonio Evaldo Klar
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Meteorological Parameters ◽  
Water Vapour Pressure ◽  
Axis Orientation ◽  
Set Up ◽  
The One ◽  
E Mail ◽  
Maximum Air Temperature ◽  
Range Of Variation

ALTERAÇÕES EM VARIÁVEIS AGROMETEOROLÓGICAS PELO USO DE ESTUFA PLÁSTICA   Reginaldo Ferreira SantosMarcio Antonio Vilas BoasCentro de Ciências Exatas e Tecnológicas,Universidade Estadual do Oeste do Paraná, CP 711,CEP 858114-110, Cascavel – PR, Fone: (0xx45) 220-3155, E-mail: [email protected] Evaldo KlarDepartamento de Engenharia Rural, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, CP 237, CEP 18603-970, Botucatu - SP, E-mail: [email protected] - Pesquisador Científico do CNPq   1 RESUMO  O presente trabalho teve como objetivo verificar o efeito da cobertura plástica de polietileno de baixa densidade (PEBD) sobre a temperatura do ar, umidade relativa do ar, déficit de saturação e tensão de vapor d'água no ar. Pelos resultados encontrados neste trabalho as médias mensais de temperatura do ar no interior da estufa plástica foram superiores em 7,5%, a umidade relativa do ar em 7%, o déficit de saturação em 34% e a tensão atual de vapor d'água no ar em 4,7%, em relação aos valores determinados à campo. Observou-se maior efeito da cobertura plástica sobre as temperaturas máximas, as quais levaram as médias mensais a ficar entre 3,8 a 7,8 oC acima dos valores médios determinados no campo. Os valores médios mensais mínimos de temperatura e umidade relativa do ar entre a estufa e o campo apresentaram menor amplitude de variação que os valores máximos.  UNITERMOS: estufa plástica, temperatura do ar, umidade relativa do ar.   SANTOS, R.F., VILAS BOAS, M.A., KLAR, A.E.  Agrometeorological parameter changes in a plastic GREENHOUSE   2 ABSTRACT  The aim of this study was to verify the influence of the plastic greenhouse set up in a  north-south main axis orientation  on  several meteorological parameters in relation to those from outside conditions. The results obtained from this study showed that the means of monthly air temperature were 7.5%; relative humidity, 7.0%; saturation deficit, 34%; and actual water vapour pressure, 4.75% higher inside the greenhouse than outside it. The maximum air temperature means were 3.8 to 7.8 0C higher inside the greenhouse than outside it. The minimum air temperature and relative humidity means showed lower range of variation in both environments compared to the one from the  maximum values of the same parameters.  KEYWORDS: air temperature, air relative humidity and vapor pressure

scholarly journals Weather-Based Models for Assessing the Risk of Sclerotinia sclerotiorum Apothecial Presence in Soybean (Glycine max) Fields

Plant Disease ◽  
2018 ◽  
Vol 102 (1) ◽  
pp. 73-84 ◽  
Author(s):  
Jaime F. Willbur ◽  
Mamadou L. Fall ◽  
Christopher Bloomingdale ◽  
Adam M. Byrne ◽  
Scott A. Chapman ◽  
...  
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Sclerotinia Sclerotiorum ◽  
Air Temperature ◽  
Dew Point ◽  
Daily Maximum ◽  
Moving Averages ◽  
Flowering Period ◽  
Row Width ◽  
Maximum Air Temperature

Sclerotinia stem rot (SSR) epidemics in soybean, caused by Sclerotinia sclerotiorum, are currently responsible for annual yield reductions in the United States of up to 1 million metric tons. In-season disease management is largely dependent on chemical control but its efficiency and cost-effectiveness depends on both the chemistry used and the risk of apothecia formation, germination, and further dispersal of ascospores during susceptible soybean growth stages. Hence, accurate prediction of the S. sclerotiorum apothecial risk during the soybean flowering period could enable farmers to improve in-season SSR management. From 2014 to 2016, apothecial presence or absence was monitored in three irrigated (n = 1,505 plot-level observations) and six nonirrigated (n = 2,361 plot-level observations) field trials located in Iowa (n = 156), Michigan (n = 1,400), and Wisconsin (n = 2,310), for a total of 3,866 plot-level observations. Hourly air temperature, relative humidity, dew point, wind speed, leaf wetness, and rainfall were also monitored continuously, throughout the season, at each location using high-resolution gridded weather data. Logistic regression models were developed for irrigated and nonirrigated conditions using apothecial presence as a binary response variable. Agronomic variables (row width) and weather-related variables (defined as 30-day moving averages, prior to apothecial presence) were tested for their predictive ability. In irrigated soybean fields, apothecial presence was best explained by row width (r = −0.41, P < 0.0001), 30-day moving averages of daily maximum air temperature (r = 0.27, P < 0.0001), and daily maximum relative humidity (r = 0.16, P < 0.05). In nonirrigated fields, apothecial presence was best explained by using moving averages of daily maximum air temperature (r = –0.30, P < 0.0001) and wind speed (r = –0.27, P < 0.0001). These models correctly predicted (overall accuracy of 67 to 70%) apothecial presence during the soybean flowering period for four independent datasets (n = 1,102 plot-level observations or 30 daily mean observations).

Statistical Analysis of Weather Effects on PM2.5

2012 ◽  
Vol 610-613 ◽  
pp. 1033-1040
Author(s):  
Wei Dai ◽  
Jia Qi Gao ◽  
Bo Wang ◽  
Feng Ouyang
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Relative Humidity ◽  
Statistical Methods ◽  
Predictive Analytics ◽  
Hypothesis Test ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Statistical Distribution ◽  
Weather Effects

Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.

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