Skip to Main content Skip to Navigation
Journal articles

Optimal spatial design for air quality measurement surveys

Abstract : Measurement surveys using passive diffusion tubes are regularly car-ried out to elaborate atmospheric concentration maps over various areas. Sampling schemes must be designed to characterize both contaminant concentrations (of benzene or nitrogen dioxide for example) and their re-lations to environmental variables so as to obtain pollution maps as precise as possible. Here, a spatial statistical methodology to design benzene air concentration measurement surveys on the urban scale is exposed. In a first step, an a priori modeling is conducted that is based on the analysis of data coming from previous campaigns on two different agglomerations. More precisely, we retain a modeling with an external drift which consists of a drift plus a spatially correlated residual. The statistical analysis per-formed on available data leads to choose the most relevant auxiliary vari-ables and to determine an a priori variogram model for the residual. An a priori distribution is also defined for the variogram parameters, whose values appear to vary from a campaign to another. In a second step, we optimize the positioning of the measuring devices on a third agglomera-tion according to a Bayesian criterion. Practically, we aim at finding the design that minimizes the mean over the urban domain of the universal kriging variance, whose parameters are based on the a priori modeling, while accounting for the prior distribution over the variogram parameters. Two global optimization algorithms are compared: simulated annealing and a particle filter based algorithm.
Document type :
Journal articles
Complete list of metadata

Cited literature [28 references]  Display  Hide  Download

https://hal-mines-paristech.archives-ouvertes.fr/hal-01089309
Contributor : Thomas Romary <>
Submitted on : Tuesday, December 2, 2014 - 4:21:11 PM
Last modification on : Wednesday, October 14, 2020 - 4:10:20 AM
Long-term archiving on: : Tuesday, March 3, 2015 - 10:11:04 AM

File

paper_environ.pdf
Files produced by the author(s)

Identifiers

Citation

Thomas Romary, Laure Malherbe, Chantal de Fouquet. Optimal spatial design for air quality measurement surveys. Environmetrics, Wiley, 2014, 25, pp.16 - 28. ⟨10.1002/env.2253⟩. ⟨hal-01089309⟩

Share

Metrics

Record views

577

Files downloads

607