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Effects of Different Site Conditions on the Concentration of Negative Air Ions in Mountain Forest Based on an Orthogonal Experimental Study

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  • Qi Chen

    (College of Landscape Architecture and Art, Northwest Agriculture and Forestry University, Xianyang 712100, China
    Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP 3), Shanghai 200000, China
    These authors contributed equally to this work.)

  • Rui Wang

    (Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP 3), Shanghai 200000, China
    College of Forestry, Northwest Agriculture and Forestry University, Xianyang 712100, China
    These authors contributed equally to this work.)

  • Xinping Zhang

    (College of Art and Design, Xi’an University of Technology, Xi’an 710048, China)

  • Jianjun Liu

    (College of Landscape Architecture and Art, Northwest Agriculture and Forestry University, Xianyang 712100, China)

  • Dexiang Wang

    (College of Forestry, Northwest Agriculture and Forestry University, Xianyang 712100, China)

Abstract

The negative air ions (NAI) in a forest play an important and positive role in promoting the health of people using the forest for recreation. The purpose of this study was to explore the environmental characteristics that can effectively represent high concentrations of NAI in mountain forests to help the recreational users to seek out sites with high NAI concentrations for personal health reasons. In order to achieve this goal, we selected the mountain forest of Taibai Mountain National Forest Park, Shaanxi Province, China, as the research object and adopted an orthogonal experimental design with three factors and three levels to study the effects of terrain, altitude, and forest canopy density on the forest NAI concentrations. The results show that obvious peak–valley fluctuation occurs during 6:31 a.m. to 18:30 p.m., with the highest concentration of NAI at 8:00 a.m. (Average: 163 ions/cm 3 ) and the lowest at 16:00 p.m. (Average: 626 ions/cm 3 ). The altitude ( p < 0.01) and canopy density ( p < 0.05) were found to significantly affect NAI concentrations. The combination of site conditions in the mountain forest observed to have the highest NAI concentrations was valley topography, low altitude, and high canopy density. In addition, the highest NAI concentration was between 14:00 p.m. and 16:00 p.m., under this combination, which was thus identified as the most suitable time for health-promotion activities in mountain forests. The results provide insights into the NAI concentration characteristics and variations, along with identifying important environmental factors for the selection of health-promotion activities in mountain forests.

Suggested Citation

  • Qi Chen & Rui Wang & Xinping Zhang & Jianjun Liu & Dexiang Wang, 2021. "Effects of Different Site Conditions on the Concentration of Negative Air Ions in Mountain Forest Based on an Orthogonal Experimental Study," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12012-:d:668666
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    References listed on IDEAS

    as
    1. Beisi Jia & Sibei Liu & Michelle Ng, 2021. "Air Quality and Key Variables in High-Density Housing," Sustainability, MDPI, vol. 13(8), pages 1-24, April.
    2. Cui Yue & Zhao Yuxin & Zhang Nan & Zhang Dongyou & Yang Jiangning, 2020. "An inversion model for estimating the negative air ion concentration using MODIS images of the Daxing’anling region," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-12, November.
    3. Hengyu Guo & Jie Chen & Longfei Wang & Aurelia Chi Wang & Yafeng Li & Chunhua An & Jr-Hau He & Chenguo Hu & Vincent K. S. Hsiao & Zhong Lin Wang, 2021. "A highly efficient triboelectric negative air ion generator," Nature Sustainability, Nature, vol. 4(2), pages 147-153, February.
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    Cited by:

    1. Rui Wang & Qi Chen & Dexiang Wang, 2022. "Effects of Altitude, Plant Communities, and Canopies on the Thermal Comfort, Negative Air Ions, and Airborne Particles of Mountain Forests in Summer," Sustainability, MDPI, vol. 14(7), pages 1-22, March.

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