扬州城市森林负氧离子分布变化特征及其与气象因素的关系

Variation characteristics of negative oxygen ions distribution in Yangzhou urban forest and its relationship with meteorological factors

  • 摘要: 【目的】分析扬州城市森林空气负氧离子浓度时空变化特征及其与气象因素的关系,为了解扬州城市森林空气负氧离子资源情况提供理论依据。【方法】依托江苏扬州城市森林生态系统国家定位观测研究站,以宋夹城体育休闲公园(城市森林)、茱萸湾风景区(城市近郊森林)和润扬湿地森林公园(城市远郊森林)为研究对象,收集3个区域的2020年1—12月空气负氧离子浓度和林内气象数据,比较不同季节之间负氧离子浓度的差异,分析负氧离子浓度与气象因素的相关性,并利用增强回归树分析各气象因素对负氧离子浓度的贡献率,结构方程模型分析各气象因素对负氧离子的直接和间接影响。【结果】扬州地区城市近郊森林区的空气负氧离子浓度日变化呈单峰型;城市近郊森林区与城市远郊森林区月变化趋势较一致,峰值分别出现在4月和6月。城市近郊森林区不同季节平均负氧离子浓度表现为春季>冬季>夏季>秋季,城市远郊森林区平均负氧离子浓度表现为夏季>冬季>春季>秋季。城市远郊森林区林内负氧离子浓度年平均值(666.87个/cm3)和郁闭度(0.80)低于城市森林区和城市近郊森林区,且森林郁闭度越高其负氧离子浓度的变异系数越小。城市森林区空气负氧离子浓度与风速、气压、空气温度和PM2.5存在显著(P<0.05,下同)或极显著(P<0.01,下同)相关性,城市近郊森林区和城市远郊森林区的空气负氧离子浓度与气压、风速、空气温度、空气湿度、PM2.5、光照强度等林内气象因素存在显著或极显著相关性。选择城市远郊森林区进行气象因素对空气负氧离子浓度的贡献率以及结构方程模型分析,结果表明空气湿度在春季(38.51%)和秋季(47.58%)对空气负氧离子浓度的贡献最大,而PM2.5在夏季(27.87%)和冬季(38.51%)对空气负氧离子的贡献最大;空气湿度对负氧离子浓度有直接正向影响,而光照强度对负氧离子浓度有直接负向影响,风向通过改变PM2.5对负氧离子浓度产生间接影响。【结论】扬州不同区域森林的负氧离子浓度变化规律不尽相同,不同季节和时间对空气负氧离子浓度有明显影响。根据不同区域的负氧离子浓度差异及其表现出的季节变化规律可制定不同的公园游览计划,建议夏季前往城市远郊森林区,春季前往城市近郊森林区游览。

     

    Abstract: 【Objective】This study aimed to analyze the spatial and temporal variation of air negative oxygen ion con-centration in Yangzhou urban forests,and to provide a theoretical basis for the understanding of air negative oxygen ion resources in urban forests of Yangzhou.【Method】Relying on the Jiangsu Yangzhou Urban Forest Ecosystem National Monitoring and Research Station,the study focused on Songjiacheng Sports and Leisure Park (urban forest),Mastixia Bay Scenic Area (suburban forest),and Runyang Wetland Forest Park (distant urban forest).Data on negative air ion concentrations and forest meteorological factors were collected from these three regions from January to December 2020.The differences in negative air ion concentrations between different seasons were compared,the correlation between nega-tive air ion concentrations and meteorological factors was analyzed,and the contribution rates of various meteorological factors to air negative ion concentrations were analyzed using enhanced regression trees.Structural equation modeling was used to analyze the direct and indirect effects of various meteorological factors on negative oxygen ion.【Result】In the suburban forest area of Yangzhou,the diurnal variation of negative oxygen ion concentration displayed a unimodal pattern.The monthly change trend of urban suburban forest matched consistently with the peak values occurring in April and June.The seasonal average negative oxygen ion concentration in suburban forest was spring>winter>summer>autumn,and the average negative oxygen ion concentration in suburban forest was summer>winter>spring>autumn.The annual average value of negative oxygen ion concentration (666.87 ions/cm3) and canopy density (0.80) were lower than those in urban forest and suburban forest,and the higher canopy density,the smaller the coefficient of variation of negative oxygen ion concentration.There was a significant (P<0.05,the same below) or extremely significantly (P<0.01,the same below) correlation between the concentration of air negative oxygen ions and wind speed,air pressure,air temperature,and PM2.5 in the urban forest area,whereas the concentration of negative oxygen ions in suburban forest and distant urban forest had a significant or extremely significant correlation with barometric pressure,wind speed,air temperature,air hu-midity,PM2.5,illumination intensity,and other in-forest meteorological elements.The contribution of meteorological fac-tors to the concentration of negative oxygen ions in the air,as well as structural equation modeling,was selected for the urban distant suburban forest.The results showed that air humidity contributed the most to the concentration of negative oxygen ions in spring (38.51%) and autumn (47.58%),while PM2.5 contributed the most to the negative oxygen ions in summer (27.87%) and winter (38.51%).Air humidity had a direct positive effect on negative oxygen ion concentration,while illumination intensity had a direct negative effect on negative oxygen ion concentration,and wind direction had an indirect effect on negative oxygen ion concentration by changing PM2.5.【Conclusion】The pattern of change of negative oxygen ion concentration in forests in different regions of Yangzhou is different,and different seasons and times have ob-vious effects on the negative oxygen ion concentration.According to the difference of negative oxygen ions in different areas and the seasonal change rule of its performance,different park tour plans can be developed,it is recommended to go to the distant urban forest in the summer,and to the suburban forest in the spring tour.

     

/

返回文章
返回