Title: Point Centred Variography to Assess the Spatial Representativeness of Air Quality Monitoring Sites: Application to the Datasets of the FAIRMODE Intercomparison Exercise of Spatial Representativeness
Authors: KRACHT OLIVERSOLAZZO EFISIOGERBOLES MICHEL
Publisher: Publications Office of the European Union
Publication Year: 2017
JRC N°: JRC107479
ISBN: 978-92-79-71654-6
ISSN: 1831-9424
Other Identifiers: EUR 28726 EN
OP KJ-NA-28726-EN-N
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC107479
DOI: 10.2760/64951
Type: EUR - Scientific and Technical Research Reports
Abstract: Common definitions for the spatial representativeness of air quality monitoring sites are based on the evaluation of the similarity of pollutant concentrations, in which the representativeness area of a monitoring site is basically described by the set of all locations where the concentration of a pollutant does not differ from the measurements at the central point by more than a certain threshold. Classical geostatistical analysis describes the spatial correlation structure of a concentration field in terms of the variogram. In contrary, the point centred variography is based on the average of squared concentration differences observed in pairs formed between a particular central point and the set of all other points in the domain. It thereby places a monitoring station in the context of the local or regional air quality pattern. In this report we demonstrate how a mathematical inversion of the point centred variogram can provide information about the extent of the spatial representativeness area of a monitoring site. The application of this approach is tested on a set of modelling data from the city of Antwerp. This dataset contains information at a very high spatial (street level) and temporal resolution for three main pollutants (PM10, NO2 and Ozone), over the whole city. Furthermore, FAIRMODE (Forum for Air Quality Modeling in Europe) is currently concluding an intercomparison exercise on spatial representativeness methods, which is also based on sharing this same dataset.
JRC Directorate:Energy, Transport and Climate

Files in This Item:
File Description SizeFormat 
kjna28726enn.pdf3.23 MBAdobe PDFView/Open


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.