1. Investigation of the correlation dependence between SO2 emission concentration and meteorological parameters: case study-Bor (Serbia)
- Author
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Ivana Z, Ilić, Ivana Z, Ilic, Dragana T, Zivkovic, Nenad M, Vušović, Nenad M, Vusovic, and Dejan M, Bogdanovic
- Subjects
Pollution ,Environmental Engineering ,010504 meteorology & atmospheric sciences ,Meteorology ,Meteorological Concepts ,media_common.quotation_subject ,Air pollution ,010501 environmental sciences ,medicine.disease_cause ,01 natural sciences ,Wind speed ,Statistical analyses ,Air Pollution ,medicine ,Sulfur Dioxide ,Air quality index ,0105 earth and related environmental sciences ,media_common ,Autocorrelation ,Environmental engineering ,Humidity ,General Medicine ,Covariance ,13. Climate action ,Environmental science ,Serbia ,Environmental Monitoring - Abstract
This paper presents the investigation of the air-pollution management possibility in Bor (Serbia) using statistical analyses of the correlation dependence of SO(2) pollution concentration and meteorological parameters. This kind of approach allows data to determine the shape of time trends; models serial correlation and dependence on covariance; and provides statistical analyses of data. Air quality control in the area of Bor is measured at four monitoring stations: City park; Institute of Mining and Metallurgy; Jugopetrol oil logistic centre and Brezonik suburb. There is also a meteorological station near the aforementioned institute that measures temperature; air humidity; atmosphere pressure; wind speed and direction. The results received from all monitoring stations are processed by the Institute of Mining and Metallurgy in Bor. The data from the reported documents were used for statistical analyses, for determining the correlation between SO(2) emission concentration and meteorological parameters. The source of SO(2) emissions is the local copper smelter, built within the town of Bor from 1961-1963. However, the disposition of the pollutant concentration is influenced by meteorological parameters (air humidity, atmosphere pressure, speed and wind direction). The successful application of these statistical analyses in this paper points to a possibility of its usage in air pollution studies.
- Published
- 2010