龙岩城市森林空气负离子浓度变化特征与气象因素关系

Characteristics of Changes in Negative Air Ion Concentration and Its Relationship with Meteorological Factors in Longyan Urban Forest

  • 摘要: 为探讨亚热带地区城市森林空气负离子浓度的时空分布特征及其与气象因子的相互关系,以福建省龙岩市不同区域城市森林为研究对象,基于2020—2022年连续3 a的空气负离子监测数据,解析空气负离子浓度的时空分布特征及其与气象因子的关系。结果表明:龙岩市城市森林空气负离子浓度呈现显著的空间异质性,远郊森林平均浓度最高(2516个·cm-3),其次为近郊森林(1989个·cm-3),中心城区最低(1455个·cm-3)。不同区域城市森林负离子浓度月动态变化峰值存在差异,中心城区出现在1月,近郊森林在2月,远郊森林在11月。负离子浓度日变化中峰值出现时间随城市化梯度延后,中心城区峰值为12∶00,近郊森林延至14∶00,远郊森林进一步延至21∶00。Pearson相关性分析表明,近郊森林空气负离子浓度与湿度呈极显著正相关(r=0.431),远郊森林与降雨量(r=0.470)和湿度(r=0.523)均呈极显著正相关(P<0.01),而中心城区与气象因子无显著相关性。

     

    Abstract: To investigate the spatiotemporal distribution characteristics of negative air ion concentration in urban forests in subtropical regions and its relationship with meteorological factors, this study took urban forests in different areas of Longyan City, Fujian Province as the research object.Based on continuous monitoring data of negative air ions from 2020 to 2022,the spatiotemporal distribution characteristics of negative air ion concentration and its correlation with meteorological factors were analyzed.The results showed that the negative air ion concentration in urban forests of Longyan exhibited significant spatial heterogeneity, with the highest average concentration in exurban forests(2516 ions·cm-3),followed by suburban forests(1989 ions·cm-3),and the lowest in central urban areas(1455 ions·cm-3).The monthly peak dynamics of negative air ion concentration varied across different regions: the peak occurred in January in central urban areas, in February in suburban forests, and in November in exurban forests.In terms of diurnal variation, the peak time delayed along the urbanization gradient: the peak appeared at 12∶00 in central urban areas, delayed to 14∶00 in suburban forests, and further delayed to 21∶00 in exurban forests.Pearson correlation analysis indicated that in suburban forests, negative air ion concentration was significantly positively correlated with humidity(r = 0.431).In exurban forests, it was significantly positively correlated with both rainfall(r = 0.470)and humidity(r = 0.523)(P < 0.01).However, no significant correlation was found between negative air ion concentration and meteorological factors in central urban areas.

     

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