<abstract xmlns="http://www.w3.org/1999/xhtml"><p>One of the key elements of environmental protection is taking care of air quality. This is a difficult task as the quality of air is influenced by numerous factors connected with man’s activity. Usually more developed economies have a stronger influence on the environment, including the level of pollution, and at the same time they have at their disposal a number of tools that make it possible to stop the emission of harmful substances. An important aspect in the struggle with air pollution in a given area is the constant monitoring of its quality.</p><p>The aim of the article is the statistical and econometric analysis of the basic parameters of air pollution in Czestochowa in 2012–2017. This objective was achieved by calculating the basic descriptive statistics of the distinguished types of pollutants, determining the correlation between them, and building models of fluctuations in time for each of them based on the data observed and corrected (standardized) relative to air temperature. Based on the obtained models – assessing their prognostic properties – the prediction of the level of the selected types of pollutants was made.</p></abstract>

One of the key elements of environmental protection is taking care of air quality. This is a difficult task as the quality of air is influenced by numerous factors connected with man’s activity. Usually more developed economies have a stronger influence on the environment, including the level of pollution, and at the same time they have at their disposal a number of tools that make it possible to stop the emission of harmful substances. An important aspect in the struggle with air pollution in a given area is the constant monitoring of its quality.The aim of the article is the statistical and econometric analysis of the basic parameters of air pollution in Czestochowa in 2012–2017. This objective was achieved by calculating the basic descriptive statistics of the distinguished types of pollutants, determining the correlation between them, and building models of fluctuations in time for each of them based on the data observed and corrected (standardized) relative to air temperature. Based on the obtained models – assessing their prognostic properties – the prediction of the level of the selected types of pollutants was made.

Application of Statistical and Econometric Tools in The Analysis of Air Pollution Level on The Example of Czestochowa

Faculty of Management, Department of Econometrics and Statistics

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

One of the key elements of environmental protection is taking care of air quality. This is a difficult task as the quality of air is influenced by numerous...

Application of Statistical and Econometric Tools in The Analysis of Air Pollution Level on The Example of Czestochowa

Data publikacji: 31 gru 2018

Zakres stron: 144 - 158

Otrzymano: 13 lis 2017

Przyjęty: 05 lis 2018

DOI: https://doi.org/10.2478/foli-2018-0024

Słowa kluczowe
air pollution, environment monitoring, city of Czestochowa, time series analysis, descriptive statistics

© 2018 Marcin Zawada et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Application of Statistical and Econometric Tools in The Analysis of Air Pollution Level on The Example of Czestochowa

Data publikacji: 31 gru 2018

Zakres stron: 144 - 158

Otrzymano: 13 lis 2017

Przyjęty: 05 lis 2018

DOI: https://doi.org/10.2478/foli-2018-0024

Słowa kluczoweair pollution, environment monitoring, city of Czestochowa, time series analysis, descriptive statistics

© 2018 Marcin Zawada et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
air pollution, environment monitoring, city of Czestochowa, time series analysis, descriptive statistics