Accounting for meteorological effects in measuring urban ozone levels and trends

被引:144
作者
Bloomfield, P
Royle, JA
Steinberg, LJ
Yang, Q
机构
[1] NATL INST STAT & SCI,RES TRIANGLE PK,NC 27709
[2] N CAROLINA STATE UNIV,DEPT STAT,RES TRIANGLE PK,NC 27709
关键词
ozone concentration; meteorological adjustment; nonlinear regression; nonparametric regression; median polish;
D O I
10.1016/1352-2310(95)00347-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Observed ozone concentrations are valuable indicators of possible health and environmental impacts. However, they are also used to monitor changes and trends in the sources of ozone and of its precursors, and for this purpose the influence of meteorological variables is a confounding Factor, This paper examines ozone concentrations and meteorology in the Chicago area. The data are described using least absolute deviations and local regression. The key relationships observed in these analyses are then used to construct a nonlinear regression model relating ozone to meteorology. The model can be used to estimate that part of the trend in ozone levels that cannot be accounted for by trends in meteorology and to 'adjust' observed ozone concentrations for anomalous weather conditions. Copyright (C) 1996 Published by Elsevier Science Ltd
引用
收藏
页码:3067 / 3077
页数:11
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