Optimal reduction of the ozone monitoring network over France

Atmospheric Environment

Volumn 44, Issue 25, 2010, Pages 3071-3083

  Wu, Lin ^a,b   Bocquet, Marc ^a,b   Chevallier, Matthieu ^a  

^a EDF R AND D   (France)

^b INRIA   (France)

Author keywords

Air quality; Geostatistics; Network design; Ozone monitoring

Indexed keywords

AIR POLLUTANTS; CORRELATION MODELS; DISTRIBUTED MONITORING; ESTIMATION ERRORS; EXPONENTIAL MODELS; GEO-STATISTICS; GROUND LEVEL; INTERPOLATION METHOD; KRIGING; MEAN CONCENTRATIONS; NETWORK DESIGN; NETWORK REDUCTION; OBSERVATIONAL ERRORS; OPTIMAL REDUCTIONS; ORDINARY KRIGING; OZONE CONCENTRATION; OZONE ESTIMATION; OZONE FIELDS; OZONE MONITORING; ROOT MEAN SQUARE ERRORS; ROUTINE MONITORING; RURAL REGIONS; RURAL STATIONS; SIMPLE KRIGING; SIMULATED ANNEALING ALGORITHMS; SPATIAL CORRELATIONS; SPATIAL DISTRIBUTION; SPATIAL INTERPOLATION; STATISTICAL INFORMATION; STRONG HETEROGENEITIES; SUB-NETWORK; SUBNETWORKS; URBAN STATIONS;

AGGLOMERATION; AIR QUALITY; CONCENTRATION (PROCESS); ESTIMATION; INTERPOLATION; OZONE; SIMULATED ANNEALING; SIZE DISTRIBUTION;

MONITORING;

OZONE;

AIR QUALITY; AREAL INTERPOLATION; ATMOSPHERIC POLLUTION; GEOSTATISTICS; KRIGING; NETWORK DESIGN; OZONE; SPATIAL DISTRIBUTION;

AIR MONITORING; AIR QUALITY; ARTICLE; CORRELATION ANALYSIS; ERROR; FRANCE; GEOSTATISTICAL ANALYSIS; KRIGING; PRIORITY JOURNAL; RELIABILITY; RURAL AREA; SUBURBAN AREA; SUMMER; URBAN AREA;

FRANCE;

EID: 77954311937     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2010.04.012     Document Type: Article

References (29)

1. Abida R., Bocquet M., Vercauteren N., Isnard O. Design of a monitoring network over France in case of a radiological accidental release. Atmos. Env. 2008, 42:5205-5219.
2. Balgovind R., Dalcher A., Ghil M., Kalnay E. A stochastic-dynamic model for the spatial structure of forecast error statistics. Mon. Wea. Rev. 1983, 111:701-722.
3. Banjevic, M., 2004. Optimal network designs in spatial statistics. Ph.D. thesis, Stanford University.
4. Blond, N., Bel, L., Vautard, R., 2003. Three-dimensional ozone data analysis with an air quality model over the Paris area. J. Geophys. Res. 108, D23.
5. Coman, A., 2008. Modélisation spatio-temporelle de la pollution atmosphérique urbaine á paritir des mesures d'un réseau de surveillance de la qualité de l'air. Ph.D. thesis, Université Paris-Est.
6. Cressie N.A.C. Statistics for Spatial Data, Revised Edition 1993, Wiley, New York.
7. Di Carlo P., Pitari G., Mancini E., Gentile S., Pichelli E., Visconti G. Evolution of surface ozone in central Italy based on observations and statistical mode. J. Geophys. Res. 2007, 112:D10316.
8. Fedorov V.V., Hackl P. Optimal experimental design: spatial sampling. Calcutta Stat. Assoc. 1994, 44:57-81.
9. Flemming, J., van Loon, M., Stern, R., 2003. Data assimilation for CTM based on optimum interpolation and Kalman filter. In: Paper presented at 26th NATO/CCMS International Technical Meeting on Air Pollution Modeling and Its Application, NATO Comm. on the Challenges of the Mod. Soc., Istanbul.
10. Fuentes M., Chaudhuri A., Holland D.M. Bayesian entropy for spatial sampling design of environmental data. Environ. Ecol. Stat. 2007, 14:323-340.
11. Gaspari G., Cohn S.E. Construction of correlation functions in two and three dimensions. Quart. J. Roy. Meteor. Soc. 1999, 125:723-757.
12. Kirkpatrick S., Gelatt C.D., Vecchi M.P. Optimization by simulated annealing. Science 1983, 220(4598):671-680.
13. Krige D.G. A statistical approach to some basic mine valuation problems on the witwatersrand. J. Chem. Metall. Min. Soc. S. Africa 1951, 52:119-139.
14. Mallet V., Stoltz G., Mauricette B. Ozone ensemble forecast with machine learning algorithms. J. Geophys. Res. 2009, 114:D05307.
15. Matheron G. Traité de géostatistique appliquée 1962, Tome I. Editions, Technip, Paris.
16. Mauzerall D.L., Sultan B., Kim N., Bradford D.F. NOx emissions from large point sources: variability in ozone production, resulting health damages and economic costs. Atmos. Env. 2005, 39:2851-2866.
17. Metropolis N., Rosenbluth A., Rosenbluth M., Teller A., Teller E. Equations of state calculations by fast computing machines. J. Chem. Phys. 1953, 21(6):1087-1092.
18. Müller W.G. Collecting Spatial Data: Optimum Design of Experiments for Random Fields 2007, Springer-Verlag. third ed.
19. Nychka D., Saltzman N. Design of air quality monitoring networks. Case Studies in Environmental Statistics 1998, 51-76. Lecture Notes in Statistics 120, Springer-Verlag. D. Nychka, L. Cox, W. Piegorsch (Eds.).
20. Pleijel H., Danielsson H., Emberson L., Ashmore M., Mills G. Ozone risk assessment for agricultural crops in Europe: further development of stomatal flux and flux response relationships for European wheat and potato. Atmos. Env. 2007, 41(14):3022-3040.
21. 2 observing networks in the presence of model error: results from transcom 3. Atmos. Chem. Phys. 2004, 4:413-421.
22. Reynolds S.D., Roth P.M., Seinfeld J.H. Mathematical modeling of photochemical air pollution-I: formulation of the model. Atmos. Env. 1973, 7:1033-1061.
23. Russell A., Dennis R. NARSTO critical review of photochemical models and modeling. Atmos. Env. 2000, 34. 2283-2234.
24. Sartelet K.N., Debry E., Fahey K., Roustan Y., Tombette M., Sportisse B. Simulation of aerosols and gas-phase species over Europe with the polyphemus system: part I-model-to-data comparison for 2001. Atmos. Env. 2007, 41:6,116-6,131.
25. Saunier O., Bocquet M., Mathieu A., Isnard O. Model reduction via principal component truncation for the optimal design of atmospheric monitoring networks. Atmos. Env. 2009, 43:4940-4950.
26. Sportisse B. A review of current issues in air pollution modeling and simulation. J. Comp. Geosci. 2007, 11(2):159-181.
27. Wackernagel H. Multivariate Geostatistics 2003, Springer-Verlag, Berlin. third ed.
28. Wackernagel H., Lajaunie C., Blond N., Roth C., Vautard R. Geostatistical risk mapping with chemical transport model output and ozone station data. Ecol. Modell. 2004, 179:177-185.
29. Wu L., Mallet V., Bocquet M., Sportisse B. A comparison study of data assimilation algorithms for ozone forecasts. J. Geophys. Res. 2008, 113:D20310.