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DESCRIPTIVE STATISTICS IN ECOLOGICAL MONITORING

Abstract

This article discusses the impact of suspended particles on human health, as well as the analysis of the level ofpollution in Almaty over the past 2 years using descriptive statistics. Pollution of the environment by industrial enterprises and vehicles, causing degradation of the environment and causing damage to public health, remains the most acute environmental problem ofpriority social and economic importance. The problem of pollution of the environment of large cities is very significant and complex, requiring first of all long-term monitoring, then a deep and competent analysis of the assessment of the situation on the data obtained, for the subsequent prevention, localization and investigation of environmental disasters and incidents, making management decisions for further work on the development of improving the quality of atmospheric air, as well as forecasting the state of the environment. In this paper, we consider a specific case, namely particles PM 2.5 —  air pollutant, which consists of solid particles and liquid droplets ranging in size from 10 nm to 2.5 microns. The fact that air pollution by small particles is a global killer is already widely known, but these statements have not yet been confirmed by specific figures. The authors have identified certain patterns, such as dependence on the time ofyear, weather, and the location of certain industrial facilities near the observed zone. The indicators with the values in the form of graphs And revealed that the concentration of suspended particles in the air exceeds the norm by 2 times most of the observed period of time, and considered the possible consequences of this.

About the Authors

Zh. N. Sarsenova
International Information Technology University
Kazakhstan


V. T. Pyagai
International Information Technology University
Kazakhstan


Z. Ye. Tuyakova
International Information Technology University
Kazakhstan


References

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Review

For citations:


Sarsenova Zh.N., Pyagai V.T., Tuyakova Z.Ye. DESCRIPTIVE STATISTICS IN ECOLOGICAL MONITORING. Herald of the Kazakh-British technical university. 2019;16(3):292-300.

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ISSN 1998-6688 (Print)
ISSN 2959-8109 (Online)