scholarly journals Influência da arborização e da edificação na dispersão de material particulado respirável em cidade costeira altamente urbanizada (Fortaleza, CE-Brasil) (Influence of afforestation and building on the dispersion of respirable particulate material in a highly urbanized coastal city (Fortaleza, CE-Brazil))

2019 ◽  
Vol 12 (3) ◽  
pp. 913
Author(s):  
Elissandra Viana Marques ◽  
Camille Arraes Rocha ◽  
Rafael Pereira dos Santos ◽  
Fernanda Caroline Leal Ramos ◽  
Joyce Leylane Rocha Lima ◽  
...  
Keyword(s):  
Meteorological Factors ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Statistical Correlation ◽  
Particulate Material ◽  
Primary Data ◽  
Atmospheric Conditions ◽  
Coverage Area ◽  
Sampling Points ◽  
Respirable Particulate

O presente artigo tem como intuito abordar a influencia existente entre o índice de arborização e edificação com níveis do material particulado respirável (MP 2,5µm) e condições atmosféricas em áreas utilizadas para práticas de esportes e lazer no centro urbano de Fortaleza, CE, tendo em vista a melhora ou piora das condições atmosféricas em locais, predominantemente, ocupados por vegetação ou edifícios. Assim, foram coletados dados primários das concentrações de MP2,5 com a amostragem ativa e dados meteorológicos com uma estação meteorológica portátil em 7 pontos de amostragem distribuídos no Município. Os índices de Arborização e Edificação foram feitos por meio do Software ArcGis, consistindo no mapeamento e delimitação da área de cobertura por copas de árvores e edifícios nos pontos de amostragem selecionados. Assim, foi realizada a correlação estatística dos dados, onde verificou-se, como resultado, os tipos de correlações existentes, classificando-as como positivas ou negativas e fortes ou fracas. Assim, esse trabalho permitiu observar a influência entre as concentrações de MP2.5 na atmosfera e as variáveis meteorológicas, e a relação dos índices construídos com o MP2.5 e com a velocidade do vento.AbstractThe present article aims to address the influence between the index of vegetation and edification with respirable particulate matter levels (PM 2.5μm) and atmospheric conditions in areas used for sports and leisure practices in the urban center of Fortaleza, CE, with a view to improving or worse weather conditions at locations predominantly occupied by vegetation or buildings. Thus, primary data of the concentrations of PM2.5 with active sampling and meteorological data were collected with a portable meteorological station in 7 sampling points distributed in the Municipality. The vegetation and edification indexes were made through ArcGIS Software, consisting of the mapping and delimitation of the coverage area by crowns of trees and buildings at the selected sampling points. Thus, the statistical correlation of the data was performed, where as a result the types of correlations were found, classifying them as positive or negative and strong or weak. Thus, this work allowed to observe the influence between the concentrations of PM2.5 in the atmosphere and the meteorological variables, and the relation of the indices constructed with PM2.5 and with the wind speed.Keywords: atmospheric pollution, urban vegetation, verticalization, particles, meteorological factors

scholarly journals Meteorology in field artillery ballistic calculations

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.

scholarly journals The influence of meteorological factors on the dynamic of Ambrosia artemisiifolia pollen in an invaded area

2020 ◽  
Vol 48 (2) ◽  
pp. 752-769
Author(s):  
Nicoleta IANOVICI ◽  
Marius-Victor BÎRSAN
Keyword(s):  
Meteorological Factors ◽  
Weather Conditions ◽  
Statistical Correlation ◽  
Ambrosia Artemisiifolia ◽  
Major Health Problem ◽  
Ambrosia Pollen ◽  
Main Pollen Season ◽  
Pollen Concentrations ◽  
Group B ◽  
Western Romania

The aim of the present study was to analyse the effect of weather conditions on Ambrosia artemisiifolia airpollen concentrations in the highly invaded area of western Romania. The investigation of Ambrosia pollen concentrations was carried out from 2000 to 2010 by means of the volumetric method. Ambrosia pollen concentrations had increasing trend over study period. The results of cluster analysis show that two main groups were identified: group A, with lower SPI (2000, 2001, 2002, 2003, 2004, 2007) and group B, with much higher SPI (2006, 2008, 2009, 2010). The statistical correlation between pollen concentrations and meteorological factors was determined by Pearson’s test. The relationships between Ambrosia pollen concentrations and meteorological parameters, were further assessed using multiple linear regression techniques. The pollen emissions are affected by meteorological factors in the main pollen season. Our results suggest that the abundance of Ambrosia artemisiifolia in western Romania is massive. The Ambrosia pollen load of Timisoara is most important between 15 August – 15 September. Consequently, this is the most dangerous period of the year for allergic reactions. The investigation of Ambrosia pollen behavior in the atmosphere is a compulsory step for measures to stop the spread and establishing control. Ambrosia pollen represents a major health problem and can be considered the main aeroallergenic plant pollen in our region.

Abstract P57: Atmospheric Conditions Predict an Occurrence of Out-of-Hospital Cardiac Arrests: A 9-year Population-based Utstein-style survey in Osaka

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Kayo Tanigawa ◽  
Taku Iwami ◽  
Chika Nishiyama ◽  
Tetsuhisa Kitamura ◽  
Masahiko Ando ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Atmospheric Pressure ◽  
Event Rate ◽  
Meteorological Data ◽  
Circadian Variation ◽  
Weather Conditions ◽  
Population Based ◽  
Japan Meteorological Agency ◽  
Atmospheric Conditions ◽  
Utstein Style

Introduction: Although an association between low temperatures and an increase in sudden cardiac arrest occurrence is reported, it is unclear other weather conditions including atmospheric pressure influence the occurrence of out-of-hospital cardiac arrest (OHCA). Methods: Design Population-based cohort study. Participants We enrolled all OHCA of presumed cardiac etiology in adults (>17 years old) treated by emergency medical service (EMS) in Osaka Prefecture (population, 8.8 million), Japan from May 1 st 1998 through December 31 st 2006. Data collection and analyses Patients’ data were prospectively collected by EMS personnel using an Utstein-style database. Meteorological data including mean and circadian variation of temperature and atmospheric pressure were collected from the database of Japan Meteorological Agency. We stratified temperature data to tertile categories and atmospheric pressure to quintile, and an association between a daily event rate of OHCA and weather conditions was analyzed. Results: There were 25,026 OHCA patients of presumed cardiac etiology during the period. Daily OHCA incidence increased with a decreasing of temperature. The higher atmospheric pressure was also associated with the increased daily event rate of OHCA on the days with middle temperature (12.0 –21.9 °C) (Pearson’s correlation coefficient, 0.02; p<0.05, Figure ). Conclusions: Data from a large-scaled population-based cohort suggests that atmospheric conditions including atmospheric pressure influence the occurrence of OHCA. FIGURE. Cardiac arrest daily event rates by atmospheric condidtion

Influence of meteorological factors on potato yield in the conditions of the Right-Bank Forest-steppe

2018 ◽  
Vol 1 (94) ◽  
pp. 55-61
Author(s):  
R.O. Myalkovsky
Keyword(s):  
Meteorological Factors ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Potato Yield ◽  
High Yield ◽  
Forest Steppe ◽  
Potato Tubers ◽  
Middle Aged ◽  
Lower Yield ◽  
The Right

Goal. The purpose of the research was to determine the influence of meteorological factors on potato yield in the conditions of the Right Bank Forest-steppe of Ukraine. Methods.Field, analytical and statistical. Results.It was established that among the mid-range varieties Divo stands out with a yield of 42.3 t/ha, Malin white – 39.8 t/ha, and Legend – 37.1 t/ ha. The most favourable weather and climatic conditions for the production of potato tubers were for the Divo 2011 variety with a yield of 45.9 t/ha and 2013 – 45.1 t/ha. For the Legenda variety 2016, the yield of potato tubers is 40.6 t/ha and 2017 – 43.2 t/ha. Malin White 2013 is 41.4 t/ha and 2017 42.1 t/ha. The average varieties of potatoes showed a slightly lower yield on average over the years of research. However, among the varieties is allocated Nadiyna – 40.3 t/ha, Slovyanka – 37.2 t/ ha and Vera 33.8 t/ha. Among the years, the most high-yielding for the Vera variety was 2016 with a yield of 36.6 t/ha and 2017 year – 37.8 t/ha. Varieties Slovyanka and Nadiyna 2011 and 2012 with yields of 42.6 and 44.3 t/ha and 46.5 and 45.3 t/ha, respectively. Characterizing the yield of potato tubers of medium-late varieties over the years of research, there was a decrease in this indicator compared with medium-early and middle-aged varieties. However, the high yield of the varieties of Dar is allocated – 40.0 t/ha, Alladin – 33.6 t/ha and Oxamit 31.3 t/ha. Among the years, the most favourable ones were: for Oxamit and Alladin – 2011 – 33.5 and 36.5 t/ha, and 2017 – 34.1 and 36.4 t/ha, respectively. Favourable years for harvesting varieties were 2011 and 2012 with yields of 45.7 and 45.8 t/ha. Thus, the highest yield of potato tubers on average over the years of studies of medium-early varieties of 41.2-43.3 t / ha were provided by weather conditions of 2011 and 2017 years, medium-ripe varieties 41.0-41.1 - 2012 and 2011, medium- late 37,6-38,5 t / ha - 2012 and 2011, respectively.

scholarly journals Rain Erosion Maps for Wind Turbines Based on Geographical Locations: A Case Study in Ireland and Britain

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
K. Pugh ◽  
M. M. Stack
Keyword(s):  
Wind Turbine ◽  
Western Europe ◽  
Meteorological Data ◽  
Turbine Blades ◽  
Weather Conditions ◽  
Annual Rainfall ◽  
Wind Turbine Blades ◽  
Weather Patterns ◽  
The Uk

AbstractErosion rates of wind turbine blades are not constant, and they depend on many external factors including meteorological differences relating to global weather patterns. In order to track the degradation of the turbine blades, it is important to analyse the distribution and change in weather conditions across the country. This case study addresses rainfall in Western Europe using the UK and Ireland data to create a relationship between the erosion rate of wind turbine blades and rainfall for both countries. In order to match the appropriate erosion data to the meteorological data, 2 months of the annual rainfall were chosen, and the differences were analysed. The month of highest rain, January and month of least rain, May were selected for the study. The two variables were then combined with other data including hailstorm events and locations of wind turbine farms to create a general overview of erosion with relation to wind turbine blades.

scholarly journals Influence of Meteorological Conditions and Aerosol Properties on the COVID-19 Contamination of the Population in Coastal and Continental Areas in France: Study of Offshore and Onshore Winds

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 523
Author(s):  
Jacques Piazzola ◽  
William Bruch ◽  
Christelle Desnues ◽  
Philippe Parent ◽  
Christophe Yohia ◽  
...  
Keyword(s):  
Atmospheric Transport ◽  
Weather Conditions ◽  
Meteorological Conditions ◽  
Sea Spray ◽  
Atmospheric Conditions ◽  
Virus Transport ◽  
Virus Propagation ◽  
Viral Particles ◽  
The Social ◽  
Aerosol Properties

Human behaviors probably represent the most important causes of the SARS-Cov-2 virus propagation. However, the role of virus transport by aerosols—and therefore the influence of atmospheric conditions (temperature, humidity, type and concentration of aerosols)—on the spread of the epidemic remains an open and still debated question. This work aims to study whether or not the meteorological conditions related to the different aerosol properties in continental and coastal urbanized areas might influence the atmospheric transport of the SARS-Cov-2 virus. Our analysis focuses on the lockdown period to reduce the differences in the social behavior and highlight those of the weather conditions. As an example, we investigated the contamination cases during March 2020 in two specific French areas located in both continental and coastal areas with regard to the meteorological conditions and the corresponding aerosol properties, the optical depth (AOD) and the Angstrom exponent provided by the AERONET network. The results show that the analysis of aerosol ground-based data can be of interest to assess a virus survey. We found that moderate to strong onshore winds occurring in coastal regions and inducing humid environment and large sea-spray production episodes coincides with smaller COVID-19 contamination rates. We assume that the coagulation of SARS-Cov-2 viral particles with hygroscopic salty sea-spray aerosols might tend to inhibit its viral infectivity via possible reaction with NaCl, especially in high relative humidity environments typical of maritime sites.

The influence of weather conditions on mid-field ponds situated in a reclaimed area in Sępopolska Plain

2010 ◽  
Vol 39 (1) ◽  
Author(s):  
Ireneusz Cymes ◽  
Iwona Cymes ◽  
Ewa Dragańska ◽  
Sławomir Szymczyk
Keyword(s):  
Weather Conditions ◽  
Negative Influence ◽  
Ammonium Nitrogen ◽  
Water Evaporation ◽  
Atmospheric Conditions ◽  
Natural Reservoir ◽  
Quality Of Water ◽  
Water Ph ◽  
Chlorine Ions ◽  
Agricultural Areas

The influence of weather conditions on mid-field ponds situated in a reclaimed area in Sępopolska PlainThe investigations were conducted in northeastern Poland near Lidzbark Warmiński (54° 08" N, 20° 36" E). Five mid-field ponds situated on grasslands were chosen: four of them were dredged and deepened, and one of them remained as a natural reservoir. The aim of this paper was to assess the influence of weather conditions on the quantity and quality of water in mid-field ponds situated in agricultural areas. It was found that the quantity of water in mid-field ponds was related much more to the air temperature, which was responsible for either water evaporation or snow melting, rather than to the amount of precipitation. The reduction in the volume of water stored in the ponds during very dry years had a negative influence on its quality. During the observation period, the dredged ponds were characterized by permanent water tables, whereas the natural reservoir dried out in very dry years. Atmospheric conditions influenced the concentrations of ammonium nitrogen and calcium and chlorine ions in the studied water bodies. The volume of water retained in mid-field ponds influenced the concentrations of phosphorus and sulphates. Increased precipitation sums caused lower water pH; however in warmer periods, at increased pH and COD

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.

Local identification of persistent cold air pool conditions in the Great Hungarian Plain

Időjárás ◽  
2021 ◽  
Vol 125 (2) ◽  
pp. 167-192
Author(s):  
Karolina Szabóné André ◽  
Judit Bartholy ◽  
Rita Pongrácz ◽  
József Bór
Keyword(s):  
Meteorological Data ◽  
Weather Conditions ◽  
Reanalysis Data ◽  
Weather Event ◽  
Cold Air ◽  
Great Hungarian Plain ◽  
Winter Time ◽  
Heat Deficit ◽  
Local Detection ◽  
Hungarian Plain

Cold air pool (CAP) is a winter-time, anticyclonic weather event: a cold air layer confined by the topography and warm air aloft. If its duration is more than one day, then it is called persistent cold air pool (PCAP). CAPs are mainly examined in small basins and valleys. Fewer studies pay attention to PCAPs in much larger basins (with an area of more than 50 000 km2), and it is not evident how effective the existing numerical definitions are in cases of extensive PCAP events. A possible method of identifying PCAPs in a large basin is to identify PCAP weather conditions at different measuring sites across the basin. If there are PCAP weather conditions at most of the sites, then it is likely to be an extensive PCAP. In this work, we examine which of the documented CAP definitions can be used for reliable local detection of CAP conditions. Daily weather reports and meteorological data from two locations in the 52 000 km2 sized Great Hungarian Plain have been used to obtain a reference set of days with PCAP weather conditions during two consecutive winter months. Several numerical CAP definitions were compared for their performance in recognizing the presence of PCAP weather conditions using radiosonde measurements and reanalysis data. The lowest error was produced by using the heat deficit (HD) method. So this is considered the most suitable method for local identification of PCAPs in the Great Hungarian Plain.

scholarly journals Little Ice Age (Neoglacial) Paleoenvironmental Conditions At Siple Station, Antarctica

1990 ◽  
Vol 14 ◽  
pp. 199-204 ◽  
Author(s):  
Ellen Mosley-Thompson ◽  
Lonnie G. Thompson ◽  
Pieter M. Grootes ◽  
N. Gundestrup
Keyword(s):  
Little Ice Age ◽  
Regional Differences ◽  
Meteorological Data ◽  
Ice Core ◽  
Observational Evidence ◽  
Ice Age ◽  
Temperature Pattern ◽  
South Pole ◽  
Atmospheric Conditions ◽  
Spatially Distributed

The 550-year records of δ18O and dust concentrations from Siple Station, Antarctica suggest warmer and less dusty atmospheric conditions from 1600 to 1830 A.D. which encompasses much of the northern hemisphere Little Ice Age (LIA). Dust and δ18O data from South Pole Station indicate that the opposite conditions (e.g. cooler and more dusty) were prevalent there during the LIA. Meteorological data from 1945–85 show that the LIA temperature opposition between Amundsen-Scott and Siple, inferred from δ18O, is consistent with the present spatial distribution of surface temperature. There is some observational evidence suggesting that under present conditions stronger zonal westerlies produce a temperature pattern similar to that of the LIA. These regional differences demonstrate that a suite of spatially distributed, high resolution ice-core records will be necessary to characterize the LIA in Antarctica

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