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Daily dynamics of forest air negative ion concentration in spring and the relationship of influencing factors: results of field monitoring

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Abstract

Negative air ions (NAIs) are important in improving air quality and developing new materials and clinical medicine. NAI concentrations are higher in urban forests than in other areas, which is good for public health. The Hualou Scenic Area in Qingdao Laoshan National Forest Park was the study site in this paper. Ten plant communities’ ecological health factors (NAI, temperature, relative humidity, light, wind speed, and particulate matter) were measured concurrently, and plant factors within them were investigated. The Origin, R, and SPSS software were all used to analyze the daily dynamic patterns of NAI concentrations, the relationship between NAI and other ecological health factors, and plant factors. Results showed that (1) during spring field monitoring, NAI levels in Hualou Scenic spot maintained a high level. The concentration of NAI in the air is the highest from 16:30 to 18:00. This may be due to the gradual reduction of light in the late afternoon, when the plant’s hibernation is broken, leaf stomata open, and NAI levels in the environment peak; (2) influenced by species richness and compound environment, hillside mixed forests have higher levels of NAI and more environmental advantages than other forests; (3) Mantel test analysis of NAI with other ecological health factors revealed that changes of NAI were negatively correlated with wind speed (p<0.05), PM2.5, and PM10 (p<0.001), and positively correlated with temperature, relative humidity (p<0.001), and noise (p<0.05); (4) multiple factors influence the spatial distribution and dynamics of forest ecological health factors. The study chose 13 plant community variables as benchmarks for principal component analysis, and the results can be comprehensively interpreted by four principal components: plant biotypes, stand structure characteristics, geographic characteristics, and spatial characteristics. Correlation analysis showed that the richer the forest flora and the higher the level of community structure, the greater the influence on NAI (p<0.05). Green space management departments can enhance the functional spatial layout and optimal control of forest vegetation based on the influence of negative air ion concentration and spatial and temporal distribution characteristics to improve the ecological and recreational function gathering of urban forests.

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The original contributions presented in the study are included in the article/ Supplementary Material, further inquiries can be directed to the corresponding author.

References

  • Anna MH, Eduardo O, Sofia P, Gaëtan P, Peter V, Janine B, Simona G (2018) Urban land-use change: the role of strategic spatial planning. Glob Environ Chang 51:32–42

    Article  Google Scholar 

  • Baggio A, Marino M, Maifreni M (2022) Effect of negative air ionization technology on microbial reduction of food-related microorganisms. LWT 169:113998

    Article  CAS  Google Scholar 

  • Chen Q, Wang R, Zhang X, Liu J, Wang D (2021) Effects of different site conditions on the concentration of negative air ions in mountain forest based on an orthogonal experimental study. Sustainability-Basel 13(21):12012

    Article  Google Scholar 

  • Chen-Fa W, Wu CF, Lai CH, Chu HJ (2011) Evaluating and mapping of spatial air ion quality patterns in a residential garden using a geostatistic method. Int J Environ Res Public Health 8:2304–2319

    Article  Google Scholar 

  • Deng L (2019) Review on research of the negative air ion concentration distribution and its correlation with meteorological elements in mountain tourist area. Earth Sci 8(1):60–68

    Google Scholar 

  • Flynn DFB, Wolkovich EM (2018) Temperature and photoperiod drive spring phenology across all species in a temperate forest community. New Phytol 219(4):1353–1362

    Article  CAS  PubMed  Google Scholar 

  • Hai-Feng L, Jin-Ming L (2017) Generation and determination of negative air ions. J Anal Test 1(1):1–6

    Google Scholar 

  • Hui W, Bing W, Xiang N, Qingfeng S, Mingwen L, Yuanyuan L, Lidong L, Pengfei D, Wei P (2020) Study on the change of negative air ion concentration and its influencing factors at different spatio-temporal scales. Glob Ecol Conserv 23:e01008

    Google Scholar 

  • Hassan MA, Mehmood T, Liu J, Luo X, Li X, Tanveer M et al (2022) A review of particulate pollution over Himalaya region: characteristics and salient factors contributing ambient PM pollution. Atmos Environ 119472

  • Lazzerini FT, Orlando MT, De Pra W (2018) Progress of negative air ions in health tourism environments applications. Boletin Sociedad Española Hidrologia Medica 33:27–46

    Article  Google Scholar 

  • Li A, Li Q, Zhou B, Ge X, Cao Y (2022) Temporal dynamics of negative air ion concentration and its relationship with environmental factors: results from long-term on-site monitoring. Sci Total Environ 832:155057

    Article  ADS  CAS  PubMed  Google Scholar 

  • Li X, Mu M, Liu J, Yang J (2018) Viewshed analysis based on DEM in Laoshan National Forest Park. https://doi.org/10.12677/gser.2018.71009

  • Li C, Xie Z, Chen B, Kuang K, Xu D, Liu J, He Z (2021) Different time scale distribution of negative air ions concentrations in mount wuyi national park. Int J Environ Res Public Health 18(9):5037

    Article  PubMed  PubMed Central  Google Scholar 

  • Lin W, Zeng C, Lam NSN, Liu Z, Tao J, Zhang X, Lyu B, Li N, Li D, Chen Q (2021) Study of the relationship between the spatial structure and thermal comfort of a pure forest with four distinct seasons at the microscale level. Urban For Urban Green 62:127168

    Article  Google Scholar 

  • Linghao L, Wen S, Yujie H, Wenwen Z, Chunjiang L, Shan Y (2020) Importance evaluation based on random forest algorithms: insights into the relationship between negative air ions variability and environmental factors in urban green spaces. Atmosphere-Basel 11(7):706

    Article  ADS  Google Scholar 

  • Liu S, Huang Q, Wu Y, Song Y, Dong W, Chu M, Yang D, Zhang X, Zhang J, Chen C, Zhao B, Shen H, Guo X, Deng F (2020) Metabolic linkages between indoor negative air ions, particulate matter and cardiorespiratory function: a randomized, double-blind crossover study among children. Environ Int 138:105663

    Article  CAS  PubMed  Google Scholar 

  • Massetti L, Petralli M, Napoli M, Brandani G, Orlandini S, Pearlmutter D (2019) Effects of deciduous shade trees on surface temperature and pedestrian thermal stress during summer and autumn. Int J Biometeorol 63(4):467–479

    Article  PubMed  Google Scholar 

  • Miao S, Zhang X, Han Y, Sun W, Liu C, Yin S (2018) Random forest algorithm for the relationship between negative air ions and environmental factors in an urban park. Atmosphere-Basel 9(12):463

    Article  ADS  CAS  Google Scholar 

  • Perry JH, Ryan RJ (2007) The effect of urban leaf area on summertime urban surface kinetic temperatures: a terre haute case study. Urban For Urban Green 6(2):63–72

    Article  Google Scholar 

  • Shi G, Zhou Y, Sang Y, Huang H, Zhang J, Meng P, Cai L (2021) Modeling the response of negative air ions to environmental factors using multiple linear regression and random forest. Eco Inform 66:101464

    Article  Google Scholar 

  • Speak AF, Salbitano F (2021) Thermal comfort and perceptions of the ecosystem services and disservices of urban trees in florence. Forests 12(10):1387

    Article  Google Scholar 

  • Wang W, Xia S, Zhu Z (2022a) Spatiotemporal distribution of negative air ion and PM2.5 in urban residential areas. Indoor Built Environ 4(31):1127–1141

    Article  Google Scholar 

  • Wang R, Chen Q, Wang D (2022b) Effects of altitude, plant communities, and canopies on the thermal comfort, negative air ions, and airborne particles of mountain forests in summer. Sustainability-Basel 14(7):3882

    Article  CAS  Google Scholar 

  • Wang Y, Xu S, Li B, Chen W, Li Y, He X, Wang N (2022c) Responses of spring leaf phenological and functional traits of two urban tree species to air warming and/or elevated ozone. Plant Physiol Biochem 179:158–167

    Article  CAS  PubMed  Google Scholar 

  • Wei W, Yu Z, Zheng FY (2012) Characteristics of negative air ion concentration and its relationships with environmental factors. (Chinaese). Ecol. Environ Sci 6(25):38–40

    CAS  Google Scholar 

  • Welborn BL, Hong Y, Ratner KG (2020) Exposure to negative stereotypes influences representations of monetary incentives in the nucleus accumbens. Soc Cogn Affect Neurosci 15(3):347–358

    Article  PubMed  PubMed Central  Google Scholar 

  • Xiujing Y, Haoran W, Zhengyang H, Shunyan W, Dongyou Z, Qing X, Timo T (2015) Spatial analysis of the ecological effects of negative air ions in urban vegetated areas: a case study in maiji. China Urban for Urban Gree 14(3):636–645

    Article  Google Scholar 

  • Xuan L, Rohan J, Lidia M (2010) Air ion concentrations in various urban outdoor environments. Atmos Environ 44(18):2186–2193

    Article  Google Scholar 

  • Zhixiang W, Huang X, Huang C (2007) Experimental research on the concentration of negative air ions. Xian Univ Eng Sci Technol 6:803–806

    Google Scholar 

  • Zhu S, Hu F, He S, Qiu Q, Su Y, He Q, Li J (2021) Comprehensive evaluation of healthcare benefits of different forest types: a case study in shimen national forest park China. Forests 12(2):207

    Article  Google Scholar 

Download references

Funding

This work was funded by the National Natural Science Foundation of China (No. 32001367) and the Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China (2022KJ161).

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Authors and Affiliations

  1. Department of Landscape Architecture, College of Architecture and Urban Planning, Qingdao University of Technology, Qingdao, Shandong, 266000, People’s Republic of China

    Jiayue Yun, Wenfei Yao, Xingyu Wang, Fei Chen & San Wang

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  1. Jiayue Yun
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  2. Wenfei Yao
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  3. Xingyu Wang
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  4. Fei Chen
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  5. San Wang
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Correspondence to Wenfei Yao.

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Yun, J., Yao, W., Wang, X. et al. Daily dynamics of forest air negative ion concentration in spring and the relationship of influencing factors: results of field monitoring. Air Qual Atmos Health 17, 501–511 (2024). https://doi.org/10.1007/s11869-023-01458-2

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