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

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Air Quality Atmosphere and Health Pub Date : 2023-11-06 DOI:10.1007/s11869-023-01458-2
Jiayue Yun, Wenfei Yao, Xingyu Wang, Fei Chen, San Wang
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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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春季森林空气负离子浓度的日动态及影响因素的关系:实地监测结果
空气负离子(NAIs)对改善空气质量、开发新材料和临床医学非常重要。与其他地区相比,城市森林中的负离子浓度更高,这有利于公众健康。本文以青岛崂山国家森林公园华楼风景区为研究地点。同时测定了 10 个植物群落的生态健康因子(净空气指数、温度、相对湿度、光照、风速和颗粒物),并对其中的植物因子进行了研究。利用Origin、R和SPSS软件分析了NAI浓度的日动态模式、NAI与其他生态健康因子和植物因子之间的关系。结果表明:(1) 在春季野外监测期间,华楼景区的NAI水平保持在较高水平。空气中 NAI 的浓度在 16:30 至 18:00 之间最高。这可能是由于午后光照逐渐减弱,植物的冬眠期被打破,叶片气孔打开,环境中的NAI水平达到峰值;(2)受物种丰富度和复合环境的影响,山坡混交林的NAI水平较高,比其他森林更具环境优势;(3)NAI与其他生态健康因子的Mantel检验分析表明,NAI的变化与风速(p<0.05)、PM2.5和PM10呈负相关(p<0.001),与温度、相对湿度(p<0.001)和噪声(p<0.05)呈正相关;(4)多种因素影响森林生态健康因子的空间分布和动态变化。研究选取了 13 个植物群落变量作为主成分分析的基准,通过植物生物类型、林分结构特征、地理特征和空间特征四个主成分对分析结果进行综合解释。相关分析表明,森林植物区系越丰富、群落结构水平越高,对净空指数的影响越大(p<0.05)。绿地管理部门可根据空气负离子浓度的影响和时空分布特征,加强森林植被的功能空间布局和优化控制,提高城市森林的生态和游憩功能聚集。
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来源期刊
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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