A SPACE-TIME ANALYSIS OF GROUND-LEVEL OZONE DATA

被引:83
作者
GUTTORP, P
MEIRING, W
SAMPSON, PD
机构
[1] Department of Statistics, University of Washington, Seattle, Washington
关键词
SPATIAL CORRELATION; PERIODIC TIME SERIES; HETEROGENEITY;
D O I
10.1002/env.3170050305
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We examine hourly ozone data collected in connection with a model evaluation study for ozone transport in the San Joaquin Valley of California. A space-time analysis of a subset of the data, 17 sites concentrated around the Sacramento area, indicates a relatively simple spatial covariance structure at night-time, while the afternoon readings show a more complex spatial covariance, which is partly explained by observations from a single station with suspicious data. Simple separable space-time covariance models do not appear applicable to these data.
引用
收藏
页码:241 / 254
页数:14
相关论文
共 35 条
[11]  
Oelert G.W., Regional trends in sulfate wet deposition, Journal of the American Statistical Association, 88, pp. 390-399, (1993)
[12]  
Blumenthal D.L., (1993)
[13]  
Wolff G.T., Lioy P.J., Taylor R.S., The diurnal variations of ozone at different altitudes on a rural mountain in the Eastern United States, Journal of the Air Pollution Control Association, 37, pp. 45-48, (1987)
[14]  
Walker J.S., (1993)
[15]  
Altshuler S.L., Arcado T.D., Lawson D.R., (1993)
[16]  
Waymire E., Gupta V.K., Rodriguez-Iturbe I., A spectral theory of rainfall intensity at the meso‐β scale, Water Resources Research, 20, pp. 1453-1465, (1984)
[17]  
Mardia K.V., Goodall C.R., Spatial‐temporal analysis of multivariate environmental monitoring data, Multivariate Environmental Statistics, pp. 347-386, (1993)
[18]  
Jones R.H., Maximum likelihood fitting of ARMA models to time series with missing observations, Technometrics, 22, pp. 389-395, (1980)
[19]  
McCollister G.M., Wilson K.R., Linear stochastic models for forecasting daily maxima and hourly concentrations of air pollutants, Atmospheric Environment, 9, pp. 417-423, (1975)
[20]  
Box G.E.P., Jenkins G.M., Time Series Analysis: Forecasting and Control, (1976)