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Different Time Scale Distribution of Negative Air Ions Concentrations in Mount Wuyi National Park

Author

Listed:
  • Changshun Li

    (Fujian Meteorological Service Center, Fuzhou 350001, China
    Institute of Meteorological Big Data-Digital Fujian, Minnan Normal University, Zhangzhou 363000, China
    These authors contributed equally to this work.)

  • Ziyang Xie

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Key Laboratory of Fujian Universities for Ecology and Resource Statistics, Fuzhou 350002, China
    These authors contributed equally to this work.)

  • Bo Chen

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Key Laboratory of Fujian Universities for Ecology and Resource Statistics, Fuzhou 350002, China)

  • Kaijin Kuang

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Key Laboratory of Fujian Universities for Ecology and Resource Statistics, Fuzhou 350002, China)

  • Daowei Xu

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Key Laboratory of Fujian Universities for Ecology and Resource Statistics, Fuzhou 350002, China)

  • Jinfu Liu

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Key Laboratory of Fujian Universities for Ecology and Resource Statistics, Fuzhou 350002, China)

  • Zhongsheng He

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Key Laboratory of Fujian Universities for Ecology and Resource Statistics, Fuzhou 350002, China)

Abstract

The concentration of negative air ions (NAIs) is an important indicator of air quality. Here, we analyzed the distribution patterns of negative air ion (NAI) concentrations at different time scales using statistical methods; then described the contribution of meteorological factors of the different season to the concentration of NAIs using correlation analysis and regression analysis; and finally made the outlook for the trends of NAI concentrations in the prospective using the auto regressive integrated moving average (ARIMA) models. The dataset of NAI concentrations and meteorological factors measured at the fixed stations in the Mountain Wuyi National Park were obtained from the Fujian Provincial Meteorological Bureau. The study showed that NAI concentrations were correlated with relative humidity spanning all seasons. Water was an important factor affecting the distribution of NAI concentrations in different time series. Compared with other ARIMA models, the outlook value of the ARIMA ( 0, 1 , 1 ) model was closer to the original data and the errors were smaller. This article provided a unique perspective on the study of the distribution of negative air oxygen ions over time series.

Suggested Citation

  • Changshun Li & Ziyang Xie & Bo Chen & Kaijin Kuang & Daowei Xu & Jinfu Liu & Zhongsheng He, 2021. "Different Time Scale Distribution of Negative Air Ions Concentrations in Mount Wuyi National Park," IJERPH, MDPI, vol. 18(9), pages 1-15, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:5037-:d:551520
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    Citations

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    Cited by:

    1. Wenbing Chang & Xu Chen & Zhao He & Shenghan Zhou, 2023. "A Prediction Hybrid Framework for Air Quality Integrated with W-BiLSTM(PSO)-GRU and XGBoost Methods," Sustainability, MDPI, vol. 15(22), pages 1-24, November.

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