Methods of comprehensive statistical analysis

2021 ◽  
Vol 6 (3) ◽  
pp. 130-134
Author(s):  
Inesa Loyeva ◽  
◽  
Salem Rabeea Bazar ◽  
Oleksii Burhaz ◽  
Olena Vladymyrova ◽  
...  

The article presents an algorithm of a complicated statistical analysis of atmospheric air pollution over certain urban territories, based on methods of multivariate statistical analysis and a statistical decisions theory. Statistical analysis of the concentrations obtained from the observation posts network provides the data on the atmospheric air pollution background characteristics. This analysis enables us to find the spatial correlations between the concentrations of the ingredient under various synoptic conditions. The proposed set of statistical methods is advisable to be applied in the development of a state monitoring program for atmospheric air protection over specific zones or territories (urban agglomeration) as part of the implementation of a new management procedure for state monitoring of atmospheric air protection in Ukraine.

2021 ◽  
Vol 26 (1) ◽  
pp. 226-231
Author(s):  
A.M. Serdiuk ◽  
I.O. Chernychenko ◽  
O.M. Lytvychenko ◽  
V.F. Babii ◽  
O.Ye. Kondratenko ◽  
...  

The objective – to study the dynamic changes for the health risk of the population of the industrial center in accordance with the state of atmospheric air pollution with carcinogenic compounds. The assessment of the state of atmospheric air pollution was carried out by us based on the results of physicochemical analysis of samples taken in places attached to the locations of stationary posts of state monitoring. The concentration of identified substances was determined by conventional methods: spectral-luminescent and gas chromatographic. Heavy metal concentrations were determined using data from the Central Geophysical Observatory of the Ministry of Emergency Situations. The calculation of the inhalation load of chemical carcinogens and the risks associated with them (non-carcinogenic and carcinogenic) was carried out in accordance with domestic guidelines. The assessment of dynamic changes in the nature of atmospheric air pollution with a complex of carcinogenic substances was made 5 of them are constantly recorded at levels exceeding hygienic standards. When compared with the reference concentrations, all compounds are characterized by high coefficients, indicating the likelihood of their effect on the body's immune system, respiratory organs, malformations, etc. A high individual carcinogenic risk of the effect of chromium VI and nitrosamines was determined. A total carcinogenic risk is formed at levels of 2.5 – 3.9×10-3, which should be considered as high; this requires development and implementation of preventive measures. On the territory of the industrial center, a high level of air pollution with increased carcinogenic and non-carcinogenic risk is stably registered.


2020 ◽  
Vol 10 (25) ◽  
pp. 200303 ◽  
Author(s):  
Oleksandr Popov ◽  
Andrii Iatsyshyn ◽  
Valeriia Kovach ◽  
Volodymyr Artemchuk ◽  
Iryna Kameneva ◽  
...  

Background. According to the World Health Organization, 92% of the world's population lives in places where air quality levels exceed recommended limits. Recently, Ukraine had the most deaths per every 100,000 people (out of 120 countries) attributed to atmospheric air pollution. High levels of atmospheric air pollution have been observed not only in typically industrial regions, but in Ukraine's capital, Kyiv, as well. Objectives. The aim of the present study was to establish the state of air pollution in Kyiv and perform a risk assessment of associated human health effects. Methods. Using official statistics and state monitoring data, the study aimed to identify and analyze risks to the health of Kyiv's population associated with air pollution. The following methods were used: systematic, functional and comparative analysis, risk theory, mathematical modeling, probability theory and mathematical statistics, as well as geographic information system technologies for digital map design and objective-oriented methodology for software design systems. Results. The risk values across different areas of the city varied significantly, indicating that atmospheric air quality remains unstable. Areas with the highest and lowest risk values were identified. Conclusions. The environmental state of atmospheric air in Kyiv requires greater attention and additional research to identify the causes of air pollution, along with implementation of measures to improve air quality. Competing Interests. The authors declare no competing financial interests.


Author(s):  
Azhar Bauyrzhanova ◽  

The article examines the state of air pollution in Temirtau, Karaganda region, and the dynamics of the air pollution index (API). The API is calculated based on the 5 main pollutants in the city, namely suspended particles, nitrogen dioxide, carbon monoxide, phenol and ammonia. The article describes the synoptic conditions of atmospheric air pollution in Temirtau, that is, the influence of baric structures, such as cyclones and anticyclones, troughs and ridges, on the maximum permissible concentration of harmful substances and their time in the city air. The meteorological quantity such as the wind contributing to the transport of pollutants is also considered, and a frequency diagram of the wind direction is presented in order to consider the transboundary transport of harmful substances from other regions. The materials of the article used maps of a certain period of time, such as baric topographic maps and terrestrial synoptic maps, and their analysis was carried out. Based on the results of the analysis of maps of a certain period, the article describes the conditions for the occurrence of synoptic processes favorable for the accumulation of large concentrations of harmful substances in the city. The topic under consideration will be interesting to specialists in the field of natural science, politicians and public figures who pay attention to the ecology of our country, in particular to the ecological system of cities with a large industrial complex, such as Temirtau, and to urgent global environmental problems affecting to the state of atmospheric air quality.


2006 ◽  
Vol 119 (1-3) ◽  
pp. 405-423 ◽  
Author(s):  
Francisco Javier González Gallero ◽  
Manuel Galán Vallejo ◽  
Arturo Umbría ◽  
Juan Gervilla Baena

2018 ◽  
Vol 24 (1) ◽  
Author(s):  
V. S. CHAUHAN ◽  
BHANUMATI SINGH ◽  
SHREE GANESH ◽  
JAMSHED ZAIDI

Studies on air pollution in large cities of India showed that ambient air pollution concentrations are at such levels where serious health effects are possible. This paper presents overview on the status of air quality index (AQI) of Jhansi city by using multivariate statistical techniques. This base line data can help governmental and non-governmental organizations for the management of air pollution.


2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.


2018 ◽  
Vol 52 (2) ◽  
pp. 15
Author(s):  
V. I. Radomskaya ◽  
D. V. Yusupov ◽  
L. М. Pavlova ◽  
А. G. Sеrgееvа ◽  
N. А. Bоrоdinа ◽  
...  

2017 ◽  
Vol 68 (4) ◽  
pp. 726-731
Author(s):  
Lenuta Maria Suta ◽  
Anca Tudor ◽  
Colette Roxana Sandulovici ◽  
Lavinia Stelea ◽  
Daniel Hadaruga ◽  
...  

In this paper, it was analysed the influence of formulation factors over obtaining oxicam hydrogels, using the statistical analysis. Data analysis and predictive modeling by multivariate regression offers a large number of possible explanatory/predictive variables. Therefore, variable selection and dimension reduction is a major task for multivariate statistical analysis, especially for multivariate regressions. The statistical analysis and computational data processing of responses obtained from different pharmaceutical formulations, via different experimental protocols, lead to the optimization of the formulation process. It was found that the most suitable pharmaceutical formulations based on oxicams with the possibility of rapid release contained cyclodextrin, in particular 2-hydroxypropyl-b-cyclodextrin.


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