XU Dao-wei

Fujian Agriculture and Forestry University

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Kaijin Kuang

Fujian Agriculture and Forestry University

Ziyang Xie

Fujian Agriculture and Forestry University

Jinfu Liu

Harbin Institute of Technology

Zhongsheng He

Fujian Agriculture and Forestry University

Changshun Li

Fujian Agriculture and Forestry University

Bo Chen

Fujian Agriculture and Forestry University

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Fujian Agriculture and Forestry University

Education Department of Fujian Province

Fujian Jiangxia University

Harbin Institute of Technology

Ministry of Natural Resources

Nanchang Institute of Technology

Jiangxi Academy of Environmental Sciences

Sichuan Normal University

Guangxi University

Guangxi University of Chinese Medicine

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

International Journal of Environmental Research and Public Health (2021)

Changshun Li Ziyang Xie Bo Chen Kaijin Kuang XU Dao-wei

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.

10.3390/ijerph18095037

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