Analysis of high level ozone concentrations using nonparametric methods

Science of the Total Environment

Volumn 409, Issue 6, 2011, Pages 1123-1133

  Quintela del Río, Alejandro ^a   Francisco Fernández, Mario ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Air pollution; Extreme values; Nonparametric estimation; Ozone

Indexed keywords

AIR POLLUTANTS; AMBIENT AIR QUALITY; DATA SETS; ENVIRONMENTAL PROBLEMS; EXTREME VALUE; EXTREME VALUE THEORY; GENERALIZED EXTREME VALUE; HARMFUL EFFECTS; HUMAN HEALTH; MONITORING STATIONS; NITROGEN DIOXIDES; NON-PARAMETRIC ESTIMATIONS; NONPARAMETRIC ESTIMATORS; NONPARAMETRIC METHODS; OZONE CONCENTRATION; PROBABILITY OF EXCEEDANCE; REAL SAMPLES; RETURN LEVEL; RETURN PERIODS; RURAL NETWORKS;

AIR QUALITY; HYDROCARBONS; NITROGEN OXIDES; OZONE; POLLUTION; PROBABILITY DISTRIBUTIONS;

PARAMETER ESTIMATION;

OZONE;

AIR QUALITY; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); HYDROCARBON; NITROGEN DIOXIDE; OZONE; PARAMETERIZATION; QUANTITATIVE ANALYSIS; RURAL ATMOSPHERE; URBAN ATMOSPHERE;

ARTICLE; CHEMICAL ANALYSIS; CONCENTRATION (PARAMETERS); INTERMETHOD COMPARISON; NONPARAMETRIC TEST; POLLUTION MONITORING; PRIORITY JOURNAL; PROBABILITY; PROCESS DEVELOPMENT; QUANTITATIVE ANALYSIS; RURAL AREA; UNITED KINGDOM; URBAN AREA;

AIR POLLUTANTS; AIR POLLUTION; ATMOSPHERE; ENVIRONMENTAL MONITORING; GREAT BRITAIN; OZONE; STATISTICS, NONPARAMETRIC;

EID: 78751702783     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2010.11.032     Document Type: Article

References (51)

1. Altman N., Leger C. Bandwidth selection for kernel distribution function estimation. J Stat Plan Infer 1995, 46:195-214.
2. Baur D., Saisana M., Schulze N. Modelling the effects of meteorological variables on ozone concentration - a quantile regression approach. Atmos Environ 2004, 38:4689-4699.
3. Bonferroni C.E. Il calcolo delle assicurazioni su gruppi di teste. Studi in Onore del Professore Salvatore Ortu Carboni 1935, 13-60. Rome.
4. Bowman A., Hall P., Prvan T. Bandwidth selection for the smoothing of distribution functions. Biometrika 1998, 85:799-808.
5. Cai Z., Wang X. Nonparametric estimation of conditional var and expected shortfal. J Econ 2008, 147:120-130.
6. Coles S. An introduction to statistical modeling of extreme values 2001, Springer Verlag, London.
7. Coyle M., Smith R.I., Stedman J.R., Weston K.J., Fowler D. Quantifying the spatial distribution of surface ozone concentration in the UK. Atmos Environ 2002, 36:1013-1024.
8. Dueñas C., Fernández M.C., Cañete S., Carretero J., Liger E. Stochastic model to forecast ground-level ozone concentration at urban and rural area. Chemosphere 2005, 61:1379-1389.
9. Elsner J.B., Jagger T.H., Tsonis A.A. Estimated return periods for Hurricane Katrina. Geophys Res Lett 2006, 33:L08704.1-L08704.4. 10.1029/2005GL025452.
10. Embrechts P., Klüppelberg C., Mikosch T. Modelling extremal events for insurance and finance 1997, Springer, Berlin.
11. Fan J., Gijbels I. Local polynomial modelling and its applications 1996, Chapman & Hall, London.
12. Fisher R.A., Tippett L.H.C. Limiting forms of the frequency distributions of the largest or smallest member of a sample. Proc Cambridge Philos Soc 1928, 24:180-190.
13. Gomes L., Arrúe J.L., López M.V., Sterk G., Richard D. Wind erosion in a semiarid agricultural area of Spain: the WELSONS project. Catena 2003, 52:235-256.
14. Gumbel E.J. Statistics of extremes 1958, Columbia University Press, New York.
15. Hannig J., Marron J.S. Advanced distribution theory for SiZer. J Am Stat Assoc 2006, 101:484-499.
16. Hosking J.R.M., Wallis J.R., Wood E.F. Estimation of the generalized extreme value distribution by the method of probability-weighted moments. Technometrics 1985, 27:231-262.
17. Huerta G., Sansó B. Time-varying models for extreme values. Environ Ecol Stat 2007, 14:285-299.
18. Katz R.W., Parlange M.B., Naveau P. Statistics of extremes in hydrology. Adv Water Resour 2002, 25:1287-1304.
19. Koenker R. Quantile regression 2005, Cambridge University Press, New York.
20. Koutsoyiannis D., Baloutsos G. Analysis of a long record of annual maximum rainfall in Athens, Greece, and design rainfall inferences. Nat Hazards 2000, 22:31-51.
21. Küchenhoff H., Thamerus M. Extreme value analysis of Munich air pollution data. Environ Ecol Stat 1996, 3:127-141.
22. Kumar U., Jain V.K. Arima forecasting of ambient air pollutants (O3, NO, NO2 and CO). Stoch Environ Res Risk Assess 2010, 24:751-760.
23. Leadbetter M.R., Lindren G., Rootzén H. Extremes and related properties of random sequences and processes 1983, Springer, New York.
24. Liu P.G. Simulation of the daily average PM10 concentrations at Ta-Liao with Box-Jenkins time series models and multivariate analysis. Atmos Environ 2009, 43:2104-2113.
25. Loaiciga H.A., Leipnik R.B. Analysis of extreme hydrologic events with gumbel distributions: marginal and additive cases. Stoch Environ Res Risk Assess 1999, 13:251-259.
26. Melchers R.E. Structural reliability analysis and prediction 1999, John Wiley & Sons, New York.
27. Miller R.G. Simultaneous statistical inference 1991, Springer-Verlag, New York, USA.
28. Parzen E. On estimation of a probability density function and mode. Ann Math Stat. 1962, 32:1065-1076.
29. Perrin O., Rootzén H., Taesler R. A discussion of statistical methods used to estimate extreme wind speeds. Theor Appl Climatol 2006, 85:203-215.
30. Polanski A., Baker E.R. Multistage plug-in bandwidth selection for kernel distribution function estimates. J Stat Comput Simul 2000, 65:63-80.
31. Prybutok V.R., Yi J., Mitchell D. Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations. Eur J Oper Res 2000, 122:31-40.
32. Quintela A. Plug-in bandwidth selection in kernel hazard estimation from dependent data. Comput Stat Data Anal 2007, 51:5800-5812.
33. Quintela A. On non-parametric techniques for area-characteristic seismic hazard parameters. Geophys J Int 2010, 180:339-346.
34. R Development Core Team R: a Language and environment for statistical computing. R foundation for statistical computing; Vienna, Austria 2008, http://www.R-project.org.
35. Rajabi M.R., Modarres R. Extreme value frequency analysis of wind data from Isfahan. Iran. J Wind Eng Ind Aerodyn 2008, 96:78-82.
36. Reiss R.D. Nonparametric estimation of smooth distribution functions. Scand J Stat 1981, 8:116-119.
37. Reyes H., Vaquera H., Villasenor J.A. Estimation of trends in high urban ozone levels using the quantiles of (GEV). Environmetrics 2009, 10.1002/env.997.
38. Ruppert D., Sheather S.J., Wand M.P. An effective bandwidth selector for local least squares regression. J Am Stat Assoc 1995, 90:1257-1270.
39. S original (EVIS) by Alexander McNeil and R port by Alec Stephenson, evir: Extreme Values in R; 2008. R package version 1.6.
40. Sarda P. Smoothing parameter selection for smooth distribution function. J Stat Plan Infer 1993, 35:65-75.
41. Sharma A., Lall U., Tarboton D.G. Kernel bandwidth selection for a first order nonparametric streamflow simulation model. Stoch Hydrol Hydraul 1998, 12:33-52.
42. Sharma A., Tarboton G.D., Lall U. Streamflow simulation: a nonparametric approach. Water Resour Res 1997, 33:291-308.
43. Silverman B.W. Density estimation for statistics and data analysis 1986, Chapman & Hall, London.
44. Simonoff J. Smoothing methods in statistics 1996, Springer, New York.
45. Slini T., Karatzas K., Moussiopoulos N. Statistical analysis of environmental data as the basis of forecasting: an air quality application. Sci Total Environ 2002, 288:227-237.
46. Smith R. Extreme value analysis of environmental time series: an application to trend detection in ground-level ozone. Stat Sci 1989, 4:367-393.
47. Sousa S.I.V., Pires J.C.M., Martins F.G., Pereira M.C., Alvim-Ferraz M.C.M. Potentialities of quantile regression to predict ozone concentrations. Environmetrics 2009, 20:147-158.
48. Wand M.P., Jones M.C. Kernel smoothing 1995, Chapman & Hall, London.
49. World Health Organization Air quality guidelines for Europe. Number European series no. 91 2000, WHO regional publication, Copenhagen. 2nd ed.
50. World Health Organization Air quality guidelines: global update 2005: particulate matter, ozone, nitrogen dioxide, and sulfur dioxide 2006, Available at:, Copenhagen. http://www.euro.who.int/Document/E87950.pdf.
51. Youndjé E., Vieu P. A note on quantile estimation for long dependent stochastic processes. Stat Probab Lett 2006, 76:109-116.