Influence of meteorological conditions on noise dispersion in the Port of Thessaloniki

AbstractAlthough noise dispersion models are widely used for the assessment of noise levels across different domains, the influence of meteorological conditions on environmental noise is usually neglected even though modelling requirements often list meteorological data as a key part for conducting successful modelling exercises. In order to evaluate the magnitude of influence of meteorological conditions on noise dispersion, different meteorological scenarios have been tested. The meteorological parameters that have been addressed include wind speed and direction, air temperature and atmospheric pressure. The simulations have been performed using data obtained from the Port of Thessaloniki, which include standard noise data (locations of noise sources and barriers, noise power levels of individual sources), as well as yearly averages and extremes for the meteorological parameters. Wind speed and direction have been shown to have a major influence on environmental noise levels. The modelled difference in levels due to changes in wind speed and direction reached 7 dB in several receivers indicating an effect that should not be neglected. Air temperature and atmospheric pressure had very little influence on noise levels. In conclusion, when addressing and modelling environmental noise levels, wind speed and direction must be properly accounted for and should not be neglected.

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Environmental Assessment of the Impact of Meteorological Parameters on Man-Made Pollution by Carcinogenicly Dangerous Chemicals in the Voronezh Air Basin

Ecology and Industry of Russia ◽

10.18412/1816-0395-2021-2-60-65 ◽

2021 ◽

Vol 25 (2) ◽

pp. 60-65

Author(s):

S.A. Kurolap ◽

V.S. Petrosyan ◽

O.V. Klepikov ◽

V.V. Kulnev ◽

D.Yu. Martynov

Keyword(s):

Wind Speed ◽

Air Temperature ◽

Meteorological Parameters ◽

Carcinogenic Risk ◽

Meteorological Conditions ◽

Air Humidity ◽

Maximum Permissible Level ◽

Relative Air Humidity ◽

The Impact ◽

The City

Based on the analysis of official statistics from the Voronezh Hydrometeorological Service, the patterns of the dynamics of pollutants (formaldehyde and soot) are investigated depending on the combination of various meteorological parameters — air temperature, wind speed, relative air humidity. A positive relationship has been established between the increase in atmospheric pollution with formaldehyde and air temperature. With increasing wind speed and relative humidity, the concentration of formaldehyde and soot in the atmosphere of the city, as a rule, decrease. The maximum permissible level of carcinogenic risk to public health has been established, causing concern. The obtained patterns can be used to predict the level of technogenic pollution of the city’s atmosphere, depending on meteorological conditions.

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COMPARAÇÃO ENTRE DADOS METEOROLÓGICOS OBTIDOS POR ESTAÇÕES CONVENCIONAIS E AUTOMÁTICAS NO ESTADO DO PIAUÍ, BRASIL*

Irriga ◽

10.15809/irriga.2017v22n1p220-235 ◽

2017 ◽

Vol 22 (2) ◽

pp. 220-235

Author(s):

Aureliano De Albuquerque Ribeiro ◽

Aderson Soares De Andrade Júnior ◽

Everaldo Moreira Da Silva ◽

Marcelo Simeão ◽

Edson Alves Bastos

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Air Temperature ◽

Atmospheric Pressure ◽

Meteorological Data ◽

Pearson Correlation ◽

Absolute Error ◽

Average Relative Humidity ◽

Operational Issues ◽

Meteorological Elements

COMPARAÇÃO ENTRE DADOS METEOROLÓGICOS OBTIDOS POR ESTAÇÕES CONVENCIONAIS E AUTOMÁTICAS NO ESTADO DO PIAUÍ, BRASIL* AURELIANO DE ALBUQUERQUE RIBEIRO1; ADERSON SOARES DE ANDRADE JÚNIOR2; EVERALDO MOREIRA DA SILVA3; MARCELO SIMEÃO4 E EDSON ALVES BASTOS2 1Doutorando em Engenharia Agrícola, Universidade Federal do Ceará, Av. Mister Hull, s/n - Pici, bloco 804, 60455-760, Fortaleza - CE, [email protected] Embrapa Meio-Norte, Teresina, PI, [email protected], [email protected] Professor Adjunto II da Universidade Federal do Piauí, Campus Professora Cinobelina Elvas, Bom Jesus, PI, [email protected] Mestre em Agronomia: Solos e Nutrição de Plantas, Universidade Federal do Piauí, Campus Professora Cinobelina Elvas, Bom Jesus, PI, [email protected]*Extraído da dissertação de mestrado do primeiro autor 1 RESUMOO registro de elementos climáticos é efetuado por estações meteorológicas convencionais e automáticas. Porém, por questões operacionais e de custo, as estações automáticas estão substituindo as convencionais. Contudo, para que as séries de dados dessas estações sejam únicas, há a necessidade de estudos comparativos entre as duas estações. O estudo teve como objetivo comparar dados meteorológicos obtidos por estações convencionais (EMC) e automáticas (EMA) em municípios do Estado do Piauí (Paulistana, Picos, São João do Piauí, Floriano, Parnaíba e Piripiri). Os elementos meteorológicos avaliados foram: temperaturas do ar máxima (°C) mínima (ºC) e média (ºC), umidade relativa média do ar (%), velocidade do vento a 10 m (m s-1), precipitação pluviométrica (mm) e pressão atmosférica média (hPa). As comparações dos dados foram feitas por meio dos seguintes indicadores estatísticos: precisão (R2), erro absoluto médio (EAM), coeficiente de correlação (r), índice de concordância de Willmott (d) e índice de confiança (c). Os melhores ajustes dos dados foram constatados para a precipitação e pressão atmosférica; intermediários, para a temperatura do ar, umidade relativa do ar média e os piores, para a velocidade do vento. A umidade relativa média do ar foi o elemento analisado que mostrou as maiores diferenças entre a EMC e a EMA. Palavras-chave: Agrometeorologia, elementos climáticos, sensores. RIBEIRO, A. A.; ANDRADE JÚNIOR, A. S.; SILVA, E.M.; SIMEÃO, M.; BASTOS, E.A.COMPARISON OF METEOROLOGICAL DATA RECORDED BY CONVENTIONAL AND AUTOMATIC STATIONS IN PIAUÍ STATE, BRAZIL 2 ABSTRACTClimatic elements are recorded by both conventional and automatic weather stations. However, due to cost and operational issues, automatic stations are replacing the conventional. So that data sets from these stations are unique, there is a need for comparative studies between the two types of stations. The aim of this study was to compare meteorological data obtained by conventional and automatic stations in towns of the State of Piauí, Brazil (Paulistana, Picos, São João do Piauí, Floriano and Piripiri).The meteorological elements evaluated were: maximum (°C) minimum (°C) and average (°C) air temperature, average relative humidity (%), wind speed at 10 m (m s-1), rainfall (mm) and average atmospheric pressure (hPa). Data comparison was by the following statistical indicators: precision (R2), mean absolute error (EAM), Pearson correlation coefficient (r), Willmott’s index of agreement (d) and confidence index (c). The best data adjustments were observed for rainfall and atmospheric pressure; intermediates for the air temperature, average relative humidity and worst for the wind speed. The air average relative humidity was the analyzed element that showed the greatest differences between EMC and EMA. Keywords: Agrometeorology, meteorological elements, sensors

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Impact of meteorological conditions on the incidence of acute aortic dissection

Therapeutic Advances in Cardiovascular Disease ◽

10.1177/1753944718801559 ◽

2018 ◽

Vol 12 (12) ◽

pp. 321-326 ◽

Cited By ~ 5

Author(s):

Payman Majd ◽

Navid Madershahian ◽

Anton Sabashnikov ◽

Carolyn Weber ◽

Wael Ahmad ◽

...

Keyword(s):

Aortic Dissection ◽

Air Temperature ◽

Atmospheric Pressure ◽

Predictive Power ◽

Acute Aortic Dissection ◽

Full Moon ◽

Meteorological Data ◽

Lunar Cycle ◽

Meteorological Conditions ◽

Different Types

Background: There is still much controversy about whether meteorological conditions influence the occurrence of acute aortic dissection (AAD). The aim of the present study was to investigate the possible correlation between atmospheric pressure, temperature, lunar cycle and the event of aortic dissection in our patient population. Methods: The clinical data for 348 patients with AAD (73% type Stanford A) were confronted with the meteorological data provided by the Cologne weather station over the same period. Results: There were no statistically significant differences between meteorological parameters on days of AAD events compared with control days. A logistic regression model showed that air pressure (odds ratio [OR] 1.004, 95% confidence interval [CI] 0.991–1.017, p = 0.542), air temperature (OR 0.978, 95% CI 0.949–1.008, p = 0.145), season ( p = 0.918) and month of the event ( p = 0.175) as well as presence of full moon (OR 1.579, 95% CI 0.763–3.270, p = 0.219) were not able to predict AAD events. Also, no predictive power of meteorological data and season was found on analysing their impact on different types of AAD events. Conclusions: Our study did not reveal any dependence of atmospheric pressure, air temperature or the presence of full moon on the incidence of different types of AAD.

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INFLUENCE OF METEOROLOGICAL CONDITIONS ON VOLATILE ORGANIC COMPOUND SPREAD IN THE ATMOSPHERIC BOUNDARY LAYER

Journal of Environmental Engineering and Landscape Management ◽

10.3846/16486897.2007.9636921 ◽

2007 ◽

Vol 15 (3) ◽

pp. 135-143 ◽

Cited By ~ 11

Author(s):

Tatjana Laškova ◽

Vytenis Zabukas ◽

Petras Vaitiekūnas

Keyword(s):

Wind Speed ◽

Organic Compound ◽

Air Temperature ◽

Volatile Organic Compound ◽

Atmospheric Pressure ◽

Complex Analysis ◽

Ambient Air ◽

Meteorological Conditions ◽

Environmental Humidity ◽

Volatile Organic

The problem of volatile organic compound (VOC) emission from oil terminals is discussed in the paper. Short‐term analyses were performed to determine dependence of VOC on wind speed, environmental humidity and atmospheric pressure at minimal ambient air temperature variations (1–3 °C). 10‐day VOC concentration analyses were performed using gas chro‐matography. Complex analysis of experimental investigation and meteorological conditions (air temperature, environmental humidity, atmospheric pressure, wind speed and direction) was carried out considering the types of loading operations and oil products at the oil terminal. Dependencies between VOC concentration and separate meteorological parameters were determined.

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The seasonal nature of tourist flows in relation to meteorological conditions as illustrated by the case of Zachodniopomorskie Voivodeship

Bulletin of Geography. Socio-economic Series ◽

10.1515/bog-2016-0033 ◽

2016 ◽

Vol 34 (34) ◽

pp. 33-45

Author(s):

Czesław Koźmiński ◽

Bożena Michalska

Keyword(s):

Statistical Analysis ◽

Wind Speed ◽

Air Temperature ◽

Time Trends ◽

Polynomial Regression ◽

Meteorological Data ◽

Meteorological Conditions ◽

Monthly Basis ◽

Tourist Flows ◽

Overnight Stays

Abstract The analysis is based on the materials published by the Statistical Office in Szczecin for 2000-14, presented on a monthly basis, concerning the total number of tourists (including foreign tourists) and the overnight stays. The distribution of the number of tourists and their accommodation per month and season was correlated with mean monthly values for air temperature, cloudiness and wind speed. Meteorological data for the period 2000-14, as averaged for the whole voivodeship, was obtained from four IMGW stations (Świnoujście, Koszalin, Szczecin and Szczecinek). Statistical analysis was conducted and time trends of the number of tourists and overnight stays were identified for individual months with the use of linear and polynomial regression. The seasonal nature of tourist flows was assessed by the number of tourists and accommodation provided for tourists in summer compared to winter, and spring to autumn. Air temperature and cloudiness were found to have the greatest effect on the uneven distribution of tourist numbers across a year. Each year, approximately 1.7 million tourists visit Zachodniopomorskie Voivodeship, 1.1 million of which (i.e. 66%) stay on the coast.

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

Acta Agrobotanica ◽

10.5586/aa.2007.032 ◽

2012 ◽

Vol 60 (2) ◽

pp. 65-70 ◽

Cited By ~ 7

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-3 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 (R2) 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.

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Hydro-meteorological data preparation for ecosystem hydrological modelling in the riparian forest of Hidegvíz Valley experimental catchment

10.5194/egusphere-egu21-12285 ◽

2021 ◽

Author(s):

Csenge Nevezi ◽

Tamás Bazsó ◽

Zoltán Gribovszki ◽

Előd Szőke ◽

Péter Kalicz

Keyword(s):

Air Temperature ◽

Meteorological Parameters ◽

Extreme Event ◽

Riparian Forest ◽

Meteorological Data ◽

Rain Gauge ◽

Hydrological Modelling ◽

Data Preparation ◽

Air Humidity ◽

Groundwater Levels

In the Hidegv&#237;z Valley experimental catchment in Hungary the meteorological data have been collected since the 1990s and used for various purposes including hydrological studies. Current research began in 2018&#8211;19, that aimed to reveal the connections between the hydrological and botanical characteristics in riparian forests and a wet meadow. Changes that occurred in both ecosystems in the groundwater levels, soil moisture and vegetation, showed that the local meteorological events influence these factors. Therefore we decided to analyse longer periods in which meteorological extremes strongly influenced hydrological conditions and so status of ecosystems. Further measurements and their analysis were also required because more accuracy and detail were needed for future water balance modelling.The measured data between 2017&#8211;2020 were chosen as a starting database. For the first analysis we selected three meteorological parameters, i. e. the precipitation, the air temperature, and the air humidity. These parameters were measured by automated instruments, except for the precipitation. We found that the automated tipping-bucket rain gauge needs validation by a manual measurement (Hellmann-type rain gauge), because the data that collected by the automated device will be invalid if the rain intensity is too high.In 2017 and 2018, the annual precipitation was distributed evenly, but in the following two years we observed some extremes. In 2019 and 2020, the spring was especially dry, the lowest monthly sum was 1.2 mm in 2020 April. 2019 April was similar (19.5 mm), but after the drought period intense rainfall events arrived in May, resulted a monthly total of 214.1 mm. Air temperature and air humidity has not been showed such extremes as the precipitation.This study showed that detailed analysis of meteorological parameters is crucial for hydrological modelling data preparation because errors and extreme event can cause serious problems during modelling process and, also in case of evaluation of model results.The research has been supported by the Ministry of Agriculture in Hungary.

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INDEPENDENT ASSOCIATION OF METEOROLOGICAL CHARACTERISTICS WITH INITIAL SPREAD OF COVID-19 IN INDIA

10.1101/2020.07.20.20157784 ◽

2020 ◽

Author(s):

Hemant Kulkarni ◽

Harshwardhan Vinod Khandait ◽

Uday Wasudeorao Narlawar ◽

Pragati G Rathod ◽

Manju Mamtani

Keyword(s):

Wind Speed ◽

Air Temperature ◽

Meteorological Data ◽

Reproduction Rate ◽

The Novel ◽

Total N ◽

Mobility Data ◽

Basic Reproduction Rate ◽

Independent Association ◽

Novel Coronavirus

Whether weather plays a part in the transmissibility of the novel COronaVIrus Disease-19 (COVID-19) is still not established. We tested the hypothesis that meteorological factors (air temperature, relative humidity, air pressure, wind speed and rainfall) are independently associated with transmissibility of COVID-19 quantified using the basic reproduction rate (R0). We used publicly available datasets on daily COVID-19 case counts (total n = 108,308), three-hourly meteorological data and community mobility data over a three-month period. Estimated R0 varied between 1.15-1.28. Mean daily air temperature (inversely) and wind speed (positively) were significantly associated with time dependent R0, but the contribution of countrywide lockdown to variability in R0 was over three times stronger as compared to that of temperature and wind speed combined. Thus, abating temperatures and easing lockdown may concur with increased transmissibility of COVID-19.

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Meteorology in field artillery ballistic calculations

Journal of Physics Conference Series ◽

10.1088/1742-6596/2090/1/012149 ◽

2021 ◽

Vol 2090 (1) ◽

pp. 012149

Author(s):

M Mendel

Keyword(s):

Atmospheric Pressure ◽

Open Space ◽

Meteorological Parameters ◽

Meteorological Data ◽

Armed Forces ◽

Weather Conditions ◽

Atmospheric Conditions ◽

Area Of Interest ◽

Single Probe ◽

Atmospheric Data

Abstract The most important meteorological data are:ambient temperature, precipitation quantity, air humidity, amount and type of clouds, atmospheric pressure, wind direction and speed, visibility, weather phenomena. These coefficients impact the effectiveness of various combat activities, especially those conducted in an open space. Knowledge of future weather conditions is essential for planning the location, calculating times, choice of means, and other aspects relevant to the upcoming operations. Taking weather conditions into account is vital, specifically when it comes to planning combat operations, where the accuracy in cooperation is of paramount importance. Rocket forces and artillery is a particular type of armed forces where weather conditions are critical. The effectiveness of artillery depends on ballistic calculation precision, and so knowledge of atmospheric conditions is fundamental. Atmospheric data are collected from sounding using a single probe attached to a balloon. It is generally known that particular meteorological parameters change in a smooth spatial manner depending on various coefficients. Information about the atmosphere collected by a single probe may be insufficient, due to the possibility of a balloon drifting away from the area of interest, and the calculations are based on data received from its probe. In this paper, I will suggest a method for preparing artillery use meteorologically, which takes into account the distribution of particular meteorological coefficients over a given area.

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Effects of clouds on surface melting of Laohugou glacier No. 12, western Qilian Mountains, China

Journal of Glaciology ◽

10.1017/jog.2017.82 ◽

2018 ◽

Vol 64 (243) ◽

pp. 89-99 ◽

Cited By ~ 3

Author(s):

JIZU CHEN ◽

XIANG QIN ◽

SHICHANG KANG ◽

WENTAO DU ◽

WEIJUN SUN ◽

...

Keyword(s):

Wind Speed ◽

Air Temperature ◽

Meteorological Data ◽

Water Vapor Pressure ◽

Longwave Radiation ◽

Turbulent Heat Flux ◽

Qilian Mountains ◽

Shortwave Radiation ◽

Turbulent Heat ◽

Glacier Melt

ABSTRACTWe analyzed a 2-year time series of meteorological data (January 2011–December 2012) from three automatic weather stations on Laohugou glacier No. 12, western Qilian Mountains, China. Air temperature, humidity and incoming radiation were significantly correlated between the three sites, while wind speed and direction were not. In this work, we focus on the effects of clouds on other meteorological parameters and on glacier melt. On an average, ~18% of top-of-atmosphere shortwave radiation was attenuated by the clear-sky atmosphere, and clouds attenuated a further 12%. Most of the time the monthly average increases in net longwave radiation caused by clouds were larger than decreases in net shortwave radiation but there was a tendency to lose energy during the daytime when melting was most intense. Air temperature and wind speed related to turbulent heat flux were found to suppress glacier melt during cloudy periods, while increased water vapor pressure during cloudy days could enhance glacier melt by reducing energy loss by latent heat. From these results, we have increased the physical understanding of the significance of cloud effects on continental glaciers.

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