A spatially varying coefficient model for mapping PM10 air quality at the European scale

Atmospheric Environment

Volumn 102, Issue , 2015, Pages 393-405

  Hamm, N A S ^a   Finley, A O ^b   Schaap, M ^c   Stein, A ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c TNO   (Netherlands)

Author keywords

Geostatistics; LOTOS EUROS; Model evaluation; PM10; Spatially varying coefficient (SVC)

Indexed keywords

AIR QUALITY; HEALTH RISKS; HIERARCHICAL SYSTEMS; MARKOV PROCESSES;

GEO-STATISTICS; LOTOS-EUROS; MODEL EVALUATION; PM10; SPATIALLY VARYING COEFFICIENTS;

MAPPING;

NONOXINOL 9;

AIR QUALITY; BAYESIAN ANALYSIS; DATABASE; GEOSTATISTICS; IN SITU MEASUREMENT; MAPPING METHOD; MODEL VALIDATION; MONITORING; PARTICULATE MATTER; SPATIAL VARIATION;

AIR QUALITY; ARTICLE; BAYESIAN LEARNING; COVARIANCE; EASTERN EUROPE; GEOSTATISTICAL ANALYSIS; MEASUREMENT ACCURACY; MONTE CARLO METHOD; PARTICULATE MATTER; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SIMULATION; SPATIALLY VARYING COEFFICIENT; STATISTICAL MODEL; STATISTICAL PARAMETERS; UNCERTAINTY;

EUROPE;

SPRING VIREMIA OF CARP VIRUS;

EID: 84920964335     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2014.11.043     Document Type: Article

References (40)

1. Anderes E.B., Stein M.L. Local likelihood estimation for nonstationary random fields. J.Multivar. Anal. 2011, 102(3):506-520.
2. Banerjee S., Carlin B.P., Gelfand A.E. Hierarchical Modeling and Analysis for Spatial Data. Monographs on Statistics and Applied Probability 101 2004, Chapman and Hall/CRC, London.
3. Banzhaf S., Schaap M., Kruit R.J.W., van der Gon H., Stern R., Builtjes P.J.H. Impact of emission changes on secondary inorganic aerosol episodes across Germany. Atmos. Chem. Phys. 2013, 13(23):11675-11693.
4. x land use regression models for estimating air pollution exposure in 36 study areas in Europe - the ESCAPE project. Atmos. Environ. 2013, 72:10-23.
5. Borrego C., Monteiro A., Ferreira J., Miranda A.I., Costa A.M., Carvalho A.C., Lopes M. Procedures for estimation of modelling uncertainty in air quality assessment. Environ. Int. 2008, 34(5):613-620.
6. Brauer M., Amann M., Burnett R.T., Cohen A., Dentener F., Ezzati M., Henderson S.B., Krzyzanowski M., Martin R.V., Van Dingenen R., van Donkelaar A., Thurston G.D. Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution. Environ. Sci. Technol. 2011, 46(2):652-660.
7. Brunekreef B., Holgate S.T. Air pollution and health. Lancet 2002, 360(9341):1233-1242.
8. Candiani G., Carnevale C., Finzi G., Pisoni E., Volta M. Acomparison of reanalysis techniques: applying optimal interpolation and ensemble Kalman filtering to improve air quality monitoring at mesoscale. Sci. Total Environ. 2013, 458-460(0):7-14.
9. Cressie N.A.C. Statistics for Spatial Data, Revised Edition 1993, John Wiley and Sons, New York.
10. Denby B., Schaap M., Segers A., Builtjes P., Horalek J. Comparison of two data assimilation methods for assessing PM10 exceedances on the European scale. Atmos. Environ. 2008, 42(30):7122-7134.
11. Diggle P.J., Ribeiro P.J. Model-based Geostatistics 2007, Springer Verlag, New York.
12. Dockery D.W., Pope C.A., Xu X., Spengler J.D., Ware J.H., Fay M.E., B.G.F., Speizer F.E. An association between air pollution and mortality in six U.S. cities. N.Engl. J. Med. 1993, 329(24):1753-1759.
13. EEA Air Pollution in Europe 1990-2004 2007, European Environment Agency, Tech. rep., EEA Report 2/2007.
14. Finley A.O. Comparing spatially-varying coefficients models for analysis of ecological data with non-stationary and anisotropic residual dependence. Methods Ecol. Evol. 2011, 2(2):143-154.
15. Finley A.O., Banerjee S., Gelfand A.E. spBayes for large univariate and multivariate point-referenced spatio-temporal data models. J.Stat. Softw. 2014, preprint at. http://arxiv.org/abs/1310.8192.
16. Flemming J., Inness A., Flentje H., Huijnen V., Moinat P., Schultz M.G., Stein O. Coupling global chemistry transport models to ECMWF's integrated forecast system. Geosci. Model Dev. 2009, 2(2):253-265.
17. Gelfand A.E., Ghosh S.K. Model choice: a minimum posterior predictive loss approach. Biometrika 1998, 85(1):1-11.
18. Gelfand A.E., Kim Y.-J., Sirmans C.F., Banerjee S. Spatial modeling with spatially varying coefficient processes. J.Am. Stat. Assoc. 2003, 98(462):387-396.
19. Gelman A., Carlin J.B., Stern H.S., Dunson D.B., Vehtari A., Rubin D.B. Bayesian Data Analysis 2013, Chapman and Hall, London. third ed.
20. Gneiting T., Raftery A.E. Strictly proper scoring rules, prediction, and estimation. J.Am. Stat. Assoc. 2007, 102(477):359-378.
21. Hamm N.A.S., Atkinson P.M., Milton E.J. Aper-pixel, non-stationary mixed model for empirical line atmospheric correction in remote sensing. Remote Sens. Environ. 2012, 124:666-678.
22. Haskard K.A., Lark R.M. Spectral tempering to model non-stationary variation of soil properties: sensitivity to the initial stationary model. Geoderma 2010, 159(3-4):350-357.
23. Hendriks C., Kranenburg R., Kuenen J., van Gijlswijk R., Kruit R.W., Segers A., van der Gon H.D., Schaap M. The origin of ambient particulate matter concentrations in the Netherlands. Atmos. Environ. 2013, 69:289-303.
24. Hitzenberger R., Berner A., Galambos Z., Maenhaut W., Cafmeyer J., Schwarz J., Muller K., Spindler G., Wieprecht W., Acker K., Hillamo R., Makela T. Intercomparison of methods to measure the mass concentration of the atmospheric aerosol during INTERCOMP2000-influence of instrumentation and size cuts. Atmos. Environ. 2004, 38(38):6467-6476.
25. Lloyd C.D., Atkinson P.M. Increased accuracy of geostatistical prediction of nitrogen dioxide in the United Kingdom with secondary data. Int. J. Appl. Earth Obs. Geoinf. 2004, 5(4):293-305.
26. Loomis D., Grosse Y., Lauby-Secretan B., El Ghissassi F., Bouvard V., Benbrahim-Tallaa L., Guha N., Baan R., Mattock H., Straif S. The carcinogenicity of outdoor air pollution. Lancet Oncol. 2013, 14(13):1262-1263.
27. Lunn D., Jackson C., Best N., Thomas A., Spiegelhalter D. The BUGS Book: a Practical Introduction to Bayesian Analysis 2013, CRC Press, London.
28. 2 and PM10. Atmos. Environ. 2013, 79:869-878.
29. Pope C.A., Dockery D.W., Schwartz J. Review of epidemiological evidence of health effects of particulate air pollution. Inhal. Toxicol. 1995, 7:1-18.
30. Pouliot G., Pierce T., van der Gon H.D., Schaap M., Moran M., Nopmongcol U. Comparing emission inventories and model-ready emission datasets between Europe and North America for the AQMEII project. Atmos. Environ. 2012, 53:4-14.
31. Schaap M., Timmermans R.M.A., Roemer M., Boersen G.A.C., Builtjes P., Sauter F., Velders G., Beck J. The LOTOS-EUROS model: description, validation and latest developments. Int. J. Environ. Pollut. 2008, 32(2):270-290.
32. Solazzo E., Bianconi R., Pirovano G., Matthias V., Vautard R., Moran M.D., Wyat Appel K., Bessagnet B., Brandt J., Christensen J.H., Chemel C., Coll I., Ferreira J., Forkel R., Francis X.V., Grell G., Grossi P., Hansen A.B., Miranda A.I., Nopmongcol U., Prank M., Sartelet K.N., Schaap M., Silver J.D., Sokhi R.S., Vira J., Werhahn J., Wolke R., Yarwood G., Zhang J., Rao S.T., Galmarini S. Operational model evaluation for particulate matter in Europe and North America in the context of AQMEII. Atmos. Environ. 2012, 53:75-92.
33. Spiegelhalter D.J., Best N.G., Carlin B.R., van der Linde A. Bayesian measures of model complexity and fit. J.R. Stat. Soc. Ser. B-Stat. Methodol. 2002, 64:583-616.
34. Stern R., Builtjes P., Schaap M., Timmermans R., Vautard R., Hodzic A., Memmesheimer M., Feldmann H., Renner E., Wolke R., Kerschbaumer A. Amodel inter-comparison study focussing on episodes with elevated PM10 concentrations. Atmos. Environ. 2008, 42(19):4567-4588.
35. Thunis P., Pederzoli A., Pernigotti D. Performance criteria to evaluate air quality modeling applications. Atmos. Environ. 2012, 59:476-482.
36. Thunis P., Pernigotti D., Gerboles M. Model quality objectives based on measurement uncertainty. Part I: Ozone. Atmos. Environ. 2013, 79:861-868.
37. van de Kassteele J., Koelemeijer R.B.A., Dekkers A.L.M., Schaap M., Homan C.D., Stein A. Statistical mapping of PM10 concentrations over western Europe using secondary information from dispersion modeling and MODIS satellite observations. Stoch. Environ. Res. Risk Assess. 2006, 21(2):183-194.
38. van de Kassteele J., Stein A. Amodel for external drift kriging with uncertain covariates applied to air quality measurements and dispersion model output. Environmetrics 2006, 17(4):309-322.
39. Webster R., Oliver M. Geostatistics for Environmental Scientists 2008, John Wiley and Sons, Chichester. second ed.
40. Weijers E.P., Schaap M., Nguyen L., Matthijsen J., van der Gon H., ten Brink H.M., Hoogerbrugge R. Anthropogenic and natural constituents in particulate matter in the Netherlands. Atmos. Chem. Phys. 2011, 11(5):2281-2294.