The paper characterizes the state of air pollution on the ground of Wroclaw in the period of 1990 to 1999. The base air contamination for Wroclaw: dust, SO2, NO,, F, Pb. Cd, B(a)P were analyzed, also the source of emission, monitoring and method of indicates were discussed. The investigations show significant decrease of the concentration: dust, SO,, the high level of the concentration of NO, and F with the increasing tendency at the end of the observation period and the insufficient monitoring of the particularly dangerous contamination for the health: Pb, Cd, B(a)P. The received results indicate the necessity of the reorganization of the existing air monitoring system with particular regard to communication contamination. In this work the new principle for the air quality control in Wroclaw has been proposed.

Data sets gathered continuously in air monitoring systems are never entirely complete. The problem of missing data in monitoring measure series often has to be solved by modeling. A new method of air monitoring data modelling was tested in the paper. Regional diurnal concentration courses (RDCCs) were used as the main source of knowledge of predicted time series during specified days. The paper presents a comparison of predicted and measured diurnal concentration patterns of two frequently used parameters in air monitoring (PM10 and NO2). The analysis was based on hourly time series of these air pollutants collected in a 3-year period at nine monitoring stations in the Lodz Region. It was shown that well determined regional diurnal concentration patterns could be useful to missing data modelling at the specified monitoring site. Improvement of modelling accuracy is possible after modification of modelling results by adding local difference vectors (LDVs), describing the specificity of the monitoring station.