SUMMARY
In the conditions of global changing of the ecosystems, the environmental pollution is one of the most incriminated disturbing agents. In this study a network to manage atmospheric pollution based on terrestrial pilot devices is presented, implemented at the regional level in the Dâmbovita County. The intelligent regional monitoring system is part of the regional infrastructure that supports the environmental control and management using intelligent air-monitoring systems. It perform activities like continuous data collection and acquisition, elaboration of algorithms and integrate the neural network at regional level using informational support and methodology like artificial neural networks, wavelet methods, fuzzy logic and genetic algorithms, that provide a feasible way to deal with the non-linearities of the atmospheric processes. Its final goal is to elaborate prediction of pollution propagation and the best ”user friendly” link to the pollution managing administration at local level (De Backer and Scheunders 2001).