Abstract
Pollutant concentrations relative to the years 1993-1995 measured in the Bologna urban area by a network of automatic stations (S.A.R.A. Sistema Automatico di Rilevamento Ambientale) are analysed to estimate the typical behaviour of the pollutants, especially with regard to periodicities and meteorological dependencies and to attempt prediction for the pollutant daily concentration up to a few days using a statistically based model.
The results obtained show the presence of a very significant weekly periodicity for all the analysed pollutants. A yearly periodicity has been found only for the primary pollutants analysed.
The statistical prediction, using an ARMA model with meteorological variables as transfer functions, shows good predicting capabilities up to one day for carbon monoxide (CO) and sulphur dioxide (SO2) and up to two days for nitrogen dioxide (NO2).
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Arya S. P.: 1988, Introduction to Micrometeorology, Academy Press, S. Diego
Jenkins G.: 1968, M., Watts D. G. Spectral Analysis and its Applications, Holden-Day, S. Francisco
Mills T.: 1990 C. Time Series Techniques for Economists, Cambridge University Press, New York
Theil H.: 1971, Principles of Econometrics, Wiley, New York
Zanetti P.: 1990, Air Pollution Modelling: theories, computational methods and available software., Computation Mechanics Publ, Van Rostrand Reinhold, New York
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Clai, G., Kerschbaumer, A., Tosi, E. et al. Analysis of Urban Atmospheric Pollution Data in the Bologna Area. Environ Monit Assess 52, 149–157 (1998). https://doi.org/10.1023/A:1005920412253
Issue Date:
DOI: https://doi.org/10.1023/A:1005920412253