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The short-term forecasting of evaporation duct height (EDH) based on ARIMA model

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Abstract

The short-term prediction of EDH time series plays an exceedingly important role in several fields such as communications, navigation and so on. In this paper, an application of autoregressive integrated moving average (ARIMA) for short-term forecasting of EDH time series is presented. In order to obtain the EDH, a body of sensors such as air temperature, relative humidity and pressure sensors were installed at different height based on the tower platform. EDH was calculated according to Debye theory and a log-squares curve fit. The comparison showed that the predicted EDH values were in good agreement with the measured values. It also indicates that ARIMA provides promising results for short-term prediction of EDH in the experiment.

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Acknowledgments

The authors wish to thank the State Key Laboratory of Precision Measuring Technology and Instruments for their helpful comments. This paper was written by Shaobo Yang and Sihui Liu. The experiment was designed by Xingfei Li. The data were analyzed by Xin He and Ying Zhong.

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Authors and Affiliations

  1. State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China

    Shaobo Yang, Xingfei Li, Ying Zhong, Xin He & Chao Wu

  2. Zhonghuan TIG CO., LTD, Huayuan Industrial Area, Tianjin, 300384, China

    Sihui Liu

Authors
  1. Shaobo Yang
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  2. Sihui Liu
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  3. Xingfei Li
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  4. Ying Zhong
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  5. Xin He
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  6. Chao Wu
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Corresponding author

Correspondence to Xingfei Li.

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The authors declare that they have no conflict of interest.

Additional information

This work was supported by National Nature Science Foundation of China (No.41405009)

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Yang, S., Liu, S., Li, X. et al. The short-term forecasting of evaporation duct height (EDH) based on ARIMA model. Multimed Tools Appl 76, 24903–24916 (2017). https://doi.org/10.1007/s11042-016-4143-2

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  • DOI: https://doi.org/10.1007/s11042-016-4143-2

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