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Time series models for short term forecasting of ozone in the eastern part of Austria

机译:奥地利东部地区臭氧短期预报的时间序列模型

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摘要

Ozone and several meteorological variables are monitored routinely at several monitoring sites in Austria. Enhanced ozone formation is mainly observed in the eastern part of the country, where peaks occur in the lee of the conurbation area of Vienna. The time series structure of ozone data within this area is analyzed by using autoregressive type models with an exogenous part (ARX) . In particular, separate ARX models for each time of the day, threshold ARX models for defined ozone regimes, as well as periodic ARX models are applied. The analysis of the estimated coefficients gives some insight into the dynamics of ozone and its explanation by meteorological variables. Copyright © 2001 John Wiley & Sons, Ltd.
机译:在奥地利的几个监测点定期监测臭氧和一些气象变量。臭氧形成的增加主要发生在该国的东部地区,那里的高峰出现在维也纳市郊的背风处。通过使用具有外生部分(ARX)的自回归类型模型来分析该区域内臭氧数据的时间序列结构。特别是,针对一天中的每个时间使用单独的ARX模型,定义的臭氧范围的阈值ARX模型以及周期性ARX模型。对估计系数的分析使人们对臭氧的动力学及其通过气象变量的解释有了一定的了解。版权所有©2001 John Wiley&Sons,Ltd.

著录项

  • 来源
    《Environmetrics》 |2001年第2期|117-130|共14页
  • 作者单位

    Institute for Econometrics Operations Research and System Theory Division for Econometrics and System Theory University of Technology ArgentinierstraΒe 8 A-1040 Vienna Austria;

    Institute for Econometrics Operations Research and System Theory Division for Econometrics and System Theory University of Technology ArgentinierstraΒe 8 A-1040 Vienna Austria;

    Institute for Econometrics Operations Research and System Theory Division for Econometrics and System Theory University of Technology ArgentinierstraΒe 8 A-1040 Vienna Austria;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    ozone dynamics and short term prediction; periodic ARX models; threshold ARX models;

    机译:臭氧动力学和短期预测;周期性ARX模型;阈值ARX模型;

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