The aim of the present paper is the delineation of air pollution maps taking into account a set of pollutants. For this purpose a combination of geostatistical techniques and fuzzy methods is used. Given an irregular sampling network, the construction of fuzzy pollution maps needs the interpolation of the observed data onto a regular grid. In this paper with the aim of generating a gridded surface, conditional indicator simulation has been used. Given the predicted map and the normative levels, for each node of the grid it is possible to obtain the membership grade to the polluted fuzzy set with respect to each pollutant. The union of various fuzzy sets leads to a pollution synthetic map. The methodology proposed is used for the construction of air pollution fuzzy maps in the Milan district with respect to CO, NO2 and SO2.
Multivariate Fuzzy Maps for Air Pollution in the Milan District
FONTANELLA, Lara;VALENTINI, PASQUALE
2002-01-01
Abstract
The aim of the present paper is the delineation of air pollution maps taking into account a set of pollutants. For this purpose a combination of geostatistical techniques and fuzzy methods is used. Given an irregular sampling network, the construction of fuzzy pollution maps needs the interpolation of the observed data onto a regular grid. In this paper with the aim of generating a gridded surface, conditional indicator simulation has been used. Given the predicted map and the normative levels, for each node of the grid it is possible to obtain the membership grade to the polluted fuzzy set with respect to each pollutant. The union of various fuzzy sets leads to a pollution synthetic map. The methodology proposed is used for the construction of air pollution fuzzy maps in the Milan district with respect to CO, NO2 and SO2.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
