scholarly journals Representativeness of monitoring station readings in the context of urban environment

2021 ◽  
Vol 2057 (1) ◽  
pp. 012132
Author(s):  
V D Meshkova ◽  
A A Dekterev ◽  
K Yu Litvintsev

Abstract In this paper, a comprehensive analysis of the interaction of the urban environment elements with the natural environment components is carried out. The assessment of the complex impact of meteorological parameters on the human body is analyzed based on data obtained from monitoring stations. The readings of monitoring stations concerning both wind speed and directions are found to significantly deviate in different parts of the city due to urban development. A numerical study of the neighborhood with the monitoring station also shows a very complex mechanism for determining the pollution intensity of the area and the relevance of the data obtained, especially concerning pollutants.

2020 ◽  
pp. 34-42
Author(s):  
Nikolay I. Shchepetkov ◽  
Svetlana B. Kapeleva ◽  
Denis V. Bugaev ◽  
Gregory S. Matovnikov ◽  
Anna S. Kostareva

The article provides a comprehensive analysis of outdoor lighting in the central part of Tyumen (with consideration of conducted field observations) and prospects of its development on the basis of the general plan of illumination of the central part of the city being under design. Main provisions of this general plan as well as methodological principles and assessment criteria of design solutions illustrat-ed by photographs, schemes and visualisations of the illuminated objects are described.


2013 ◽  
Vol 24 (3) ◽  
pp. 39-44
Author(s):  
Katarzyna Czepiel-Mil ◽  
Danuta Kowalczyk-Pecka

Abstract In the years 2001-2003, a study on thrips (Thysanoptera) was conducted in Lublin (south-eastern Poland). The aim of the research was to determine the species composition of the insects on selected plants from the Asteraceae family collected at sights of varying anthropopressures in Lublin. Fifteen designated sites, classified as semi-natural and anthropogenic, were located in different parts of the city. As a result of the study, the occurrence of 36 thrips species was recorded. The species dominating in the whole material were: Thrips physapus, Thrips trehernei, Thrips validus and Frankliniella intonsa. The greatest thrips species variety was characteristic of the following plant species: Hieracium umbellatum, Matricaria perforata, Taraxacum officinale, Erigeron strigosus. The research conducted shows that urban environment is quite rich in terms of thrips species diversity. The number of species caught indicates their tolerance to moderately adverse conditions in the city. The most important factor affecting the number of collected species is plant diversity. The sites of different levels of athropopressure varied both in their species composition and in the number of thrips found.


2022 ◽  
Vol 961 (1) ◽  
pp. 012001
Author(s):  
Ahmed Alaa Hussein ◽  
Zahraa S. Mahdi ◽  
Nagam Obaid Kariem

Abstract The study aims to use the fixed box model to calculate the spread of pollutants (CO2, SO2, NOX, particulate) resulting from the burning of fuel used to produce electrical energy in the Nasiriyah city and to know the way they spread in the city through being affected by the wind speed and compare the results calculated from the model with the results measured by the lancom4 device. The results showed that the main pollutants for the air in Nasiriyah was emitted from burning the fuel used for the production of electric power, and the results showed that the concentration of pollutants (CO2, SO2, NOX) was much higher inside the city when compared with the upstream direction of the winds due to its increase with the movement of winds and its entry into the city. Through the application of the fixed box model and when comparing the calculated results through the model with the results measured by the lancom4 device, the error rate was (4 %, 2%, 2%, 5%) for pollutants (CO2, SO2, NOX, particulate) respectively, it was also observed that the highest emission rate of pollutants was result from using heavy fuel (fuel oil) and the lowest emission was from light oil (Dry gas). We noted the spread of pollutants and dilution in the atmosphere increases with the increase in wind speed, excluding for particles mater.


2021 ◽  
Vol 25 (2) ◽  
pp. 60-65
Author(s):  
S.A. Kurolap ◽  
V.S. Petrosyan ◽  
O.V. Klepikov ◽  
V.V. Kulnev ◽  
D.Yu. Martynov

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.


2015 ◽  
Vol 61 (4) ◽  
pp. 327-332 ◽  
Author(s):  
Giacomo Capizzi ◽  
Grazia Lo Sciuto ◽  
P. Monforte ◽  
Christian Napoli

Abstract In this paper, air pollutants concentrations for NO2, NO, NOx and PM10 in a single monitoring station are predicted using the data coming from other different monitoring stations located nearby. A cascade feed forward neural network based modeling is proposed. The main aim is to provide a methodology leading to the introduction of virtual monitoring station points consistent with the actual stations located in the city of Catania in Italy


2019 ◽  
Vol 19 (6) ◽  
pp. 3779-3796 ◽  
Author(s):  
David Au Yang ◽  
Pierre Cartigny ◽  
Karine Desboeufs ◽  
David Widory

Abstract. Sulfates present in urban aerosols collected worldwide usually exhibit significant non-zero Δ33S signatures (from −0.6 ‰ to 0.5 ‰) whose origin still remains unclear. To better address this issue, we recorded the seasonal variations of the multiple sulfur isotope compositions of PM10 aerosols collected over the year 2013 at five stations within the Montreal Island (Canada), each characterized by distinct types and levels of pollution. The δ34S-values (n= 155) vary from 2.0 ‰ to 11.3 ‰ (±0.2 ‰, 2σ), the Δ33S-values from −0.080 ‰ to 0.341 ‰ (±0.01 ‰, 2σ) and the Δ36S-values from −1.082 ‰ to 1.751 ‰ (±0.2 ‰, 2σ). Our study evidences a seasonality for both the δ34S and Δ33S, which can be observed either when considering all monitoring stations or, to a lesser degree, when considering them individually. Among them, the monitoring station located at the most western end of the island, upstream of local emissions, yields the lowest mean δ34S coupled to the highest mean Δ33S-values. The Δ33S-values are higher during both summer and winter, and are < 0.1 ‰ during both spring and autumn. As these higher Δ33S-values are measured in “upstream” aerosols, we conclude that the mechanism responsible for these highly positive S-MIF also occurs outside and not within the city, at odds with common assumptions. While the origin of such variability in the Δ33S-values of urban aerosols (i.e. −0.6 ‰ to 0.5 ‰) is still subject to debate, we suggest that oxidation by Criegee radicals and/or photooxidation of atmospheric SO2 in the presence of mineral dust may play a role in generating such large ranges of S-MIF.


2016 ◽  
Vol 144 (10) ◽  
pp. 2057-2063 ◽  
Author(s):  
N. GAMBA-SANCHEZ ◽  
C. E. RODRIGUEZ-MARTINEZ ◽  
M. P. SOSSA-BRICEÑO

SUMMARYAlthough viral acute lower respiratory infections (ALRIs) are a major public health problem in tropical low- and middle-income countries (LMICs), and there is growing evidence showing their relationship with meteorological parameters, studies performed in these countries are scarce. In an analytical cross-sectional study, we determined which of the main meteorological parameters (temperature, absolute humidity, rainfall, wind speed, and solar radiation) predicted respiratory syncytial virus (RSV) activity in a population of hospitalized children with ALRI during a 5-year period, from January 2009 to December 2013. Out of a total of 4559 children included in the study (mean age 9·2 ± 8·5 months), 2953 (64·8%) presented RSV infection during the 3-month period from March to May. In the multivariate analysis, after controlling for absolute humidity, wind speed, and solar radiation, temperature [incidence rate ratio (IRR) 2·25, 95% confidence interval (CI) 1·11–4·53, P = 0·024], and rainfall (IRR 1·01, 95% CI 1·00–1·02, P = 0·044) were independently associated with the monthly number of RSV infections. In conclusion, in Bogota, the capital of a tropical LMIC lying slightly above the equator, RSV activity peaks in the 3-month period from March to May, the main rainy period of the year in the city. In addition, rainfall and temperature are the two most important meteorological parameters that are independently associated with RSV activity in hospitalized children with ALRI in the city.


Author(s):  
N. Istomina ◽  
O. Likhacheva

<span lang="EN-US">The article presents the results of the long-term research of the lichen species population<em> </em>in urban environment. The tolerant species <em>Parmelia sulcata</em> Taylor was chosen as an indicator of urban conditions. The study was conducted in different parts of the city of Pskov (Russia) varying in degree of air pollution. The analyses of species’ urban habitats, substrate diversity, thalli location in relation to the points of the compass, abundance and projective cover are discussed. Attention is also focused on the morphological parameters of the lichen’s thalli (thalli size, presence or absence of apothecia, vegetative propagules, thalli color and presence of necro spots on the lichen individuals etc.) in different environmental conditions. Received data will serve as a base for monitoring <em>Parmelia sulcata</em> population change continuously.</span>


Author(s):  
Oleksandr Zavalniy ◽  
Maryna Kolosha

The analysis of the urban space is the first stage in the formation of a systemic understanding and creation of a more comfortable modern city. Historically, “city creation” occurs in accordance with the conditions and principles that exist at the time when the city was formed. Therefore, analyzing the existing structure of urban planning of territories, new parameters and characteristics are introduced, which should fully reflect the quality of urban space for its inhabitants in the current state. The analysis of urban space makes it possible to solve a specific problem or reorganize the urban structure to solve it. Therefore, the search for effective qualitative and quantitative models of analysis of the urban environment is an urgent task today. New methodologies and approaches to urban area analysis are emerging to fully explore this issue. A comprehensive analysis of the urban environment should take place in accordance with the morphology of the city, ie the study of the city through its perception by residents. In the beginning, it is necessary to consider the city as the interaction of its inhabitants with the physical space. The inhabitants of this city define the urban space and its function. This is the main indicator for further analysis and identification of the necessary characteristics in relation to space. The territory needs to be assessed, not only when significant changes are needed in the space for urban needs. A comprehensive analysis of the territory should be carried out with the accepted frequency, because the city is a dynamic system that changes the urban environment every day. Urban space is a system with multilevel connections that work together with each other, so the approach to a comprehensive assessment of urban space can not be simplified. 


2018 ◽  
Vol 145 ◽  
pp. 01010 ◽  
Author(s):  
Evelina Veleva ◽  
Ivanka Zheleva

This paper is devoted to examine the PM10 and PM2.5 pollution in Ruse region, Bulgaria. It is a continuation of our previous work [1] where we presented a statistical analysis and modelling of the level of PM10 air pollution in Ruse using data from one of two monitoring stations (station 2) in the city. Now in this paper we present statistical analysis of the level of PM10 pollutant on the basis of data from the another monitoring station (station 1). The measurements cover the period since 2015 up to now. The results from analysis and modelling of PM2.5 air pollutant are also presented and commented in the paper.


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