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An optimal design for air pollution monitoring network
Author(s) -
Pittau Maria Grazia,
Romano Daniela,
Cirillo Mario C.,
Coppi Renato
Publication year - 1999
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/(sici)1099-095x(199905/06)10:3<351::aid-env337>3.0.co;2-6
Subject(s) - pollutant , environmental science , air pollution , pollution , air monitoring , selection (genetic algorithm) , nox , air pollutants , correlation coefficient , computer science , meteorology , environmental engineering , geography , ecology , chemistry , organic chemistry , biology , artificial intelligence , machine learning , combustion
A new method is presented to determine the optimum number and location of monitoring stations in an air pollution network. The selection of the monitoring stations is based on the spatial representativity of the sites. In particular, the spatial coefficient of the correlation between the pollutant concentrations in different receptors is considered with regard to different meteorological scenarios. The methodology is applied in the province of Venice for two different pollutants: SO 2 and NO x . Copyright © 1999 John Wiley & Sons, Ltd.