Soft Computing Models for an Environmental Application

摘要

In this interdisciplinary research several statistical and soft computing models are applied to analyze a case study related to inmissions of atmospheric pollution in urban areas. The research analyzes the impact on atmospheric pollution of an extended bank holiday weekend in Spain and the way in which meteorological conditions affect pollution levels. After classifying atmospheric pollution levels in relation to the days of the week, we analyze the way in which these may be influenced by atmospheric conditions. The case study is based on data collected by a station at the city of Burgos, which forms part of the pollution measurement station network within the Spanish Autonomous Region of Castile-Leon.