Statistical analysis of air pollution with specific regard to factor analysis in the Ciuc basin, Romania

Abstract

ABSTRACT. In the present study, the changes of the concentration of air pollutants were examined, based on air pollution, meteorological and climatologic data gathered over an interval of two years (2012)(2013) by the regional measuring station located in the basin, as well as the sources of the air pollutants were studied with the help of factor analysis. Biomass burning, traffic and photochemistry were characteristic regarding the source of air pollutants. This was also confirmed by the correlations between pollutants. Furthermore, the increasingly busy car traffic in the cold season and the atmospheric stability characteristic for it are also important observations with regard to the sources of air pollutants.

Correlations between air pollutant concentrations in selected urban and rural areas in Poland

“…For example, PM 10 concentrations at urban traffic site in Lodz (Table 7) were highly correlated to city background (R = 0.87) suburb background (R = 0.75) and town background (R = 0.71), and moderate correlated to rural background (R = 0.64). However, interrelations between air pollutants in the same area were the strongest between NO 2 , CO and PM 10 (Tables [16][17][18][19]. Correlation coefficient between nitrogen dioxide and carbon monoxide was 0.70 in city background, 0.69 in suburb background, and 0.63 in rural background.…”

“…Source: [19] The analysis was aimed at demonstrating the interdependence (or lack thereof) between the occurrence of air pollution in various types of areas, especially urban and rural areas within the same region. However, in the literature, usually only the correlations between various pollutants and their dependence on meteorological conditions are calculated [16,21]. Unfortunately, there is a lack of comparative calculations, regarding relationships between different urban and rural areas.…”

Chemometric Techniques in the Assessment of Ambient Air Quality and Development of Air Quality Index of Coal Mining Complex: A Statistical Approach

“…Their investigation employed a combination of SARIMA (Seasonal Autoregressive Integrated Moving Average) and factor analysis techniques, showcasing the potential of factor analysis in identifying underlying patterns and contributors to air pollution. A similar study was done by Keresztes (2017) for an in-depth exploration of air pollution dynamics, centered around factor analysis, conducted within the context of the Ciuc Basin region. The findings of this study were to understand the complexities of air quality patterns and their underlying contributors.…”

Analisis Faktor-Faktor Yang Mempengaruhi Level Polusi Udara Dengan Metode Regresi Logistik Biner

“…Pencemaran udara yang dihasilkan oleh aktivitas masyarakat dan industri dapat mengakibatkan turunnya kualitas udara. Perubahan kualitas udara yang disebabkan masuknya zat pencemar berupa partikel ataupun gas dengan jumlah dan rentang waktu tertentu yang dapat membawa dampak buruk bagi makhluk hidup disebut dengan pencemaran udara (Keresztes & Rápó, 2017). Pencemaran udara dapat terjadi jika zat-zat berbahaya hasil aktifitas manusia yang dilepaskan ke udara jumlahnya melampaui kemampuan udara untuk menyerap zat-zat tersebut.…”