城市道路绿地三维绿量与大气污染物浓度的耦合关系  

Coupling relationship between three-dimensional green quantity and the concentration of air pollutants in the green space of urban roads

作　　者：戴安琪 刘聪哲 圣倩倩 祝遵凌[1,2,3] DAI Anqi;LIU Congzhe;SHENG Qianqian;ZHU Zunling(College of Landscape Architecture,Nanjing Forestry University,Nanjing 210037,Jiangsu,China;Co-Innovation for Sustainable Forestry in Southern,Nanjing Forestry University,Nanjing 210037,Jiangsu,China;College of Art and Design,Nanjing Forestry University,Nanjing 210037,Jiangsu,China)

机构地区：[1]南京林业大学风景园林学院,江苏南京210037 [2]南京林业大学南方现代林业协同创新中心,江苏南京210037 [3]南京林业大学艺术设计学院,江苏南京210037

出　　处：《中南林业科技大学学报》2022年第11期173-181,共9页Journal of Central South University of Forestry & Technology

基　　金：江苏省自然科学青年基金项目(BK20210613);国家自然科学青年基金项目(32101582);江苏省高等学校自然科学研究面上项目(21KJB220008);江苏省社会科学基金项目研究成果(21GLC002);教育部人文社会科学研究青年基金项目(21YJCZH131)。

摘　　要：【目的】通过研究城市道路绿地三维绿量与大气污染物浓度的耦合关系,为城市绿地建设提供理论依据。【方法】以南京市诚信大道道路绿地为研究对象,根据无人机影像、实地采集样本数据选择监测区并计算三维绿量,将其分为三维绿量较低区域(监测区1,279.31 m^(3))、无三维绿量区域(监测区2,0 m^(3))、三维绿量较高区域(监测区3,567.71 m^(3))。在此基础上,使用大气质量检测仪和氮氧化物分析仪测定不同监测区大气污染物浓度,并分析三维绿量与大气污染物浓度之间的联系。【结果】大气污染物周平均浓度顺序为监测区1>监测区2>监测区3,监测期间PM_(2.5)污染程度较严重。大气PM_(1)、PM_(2.5)、PM_(10)周变化趋势相对一致,相互间具有显著相关性(P <0.01)。NO、NO_(2)、NO_(x)浓度变化缺乏一致性,NO与NO_(x)、NO_(2)与NO_(x)间具有显著相关性(P <0.01)。耦合协调关系分析得到监测区耦合协调度排序,及大气污染物与三维绿量的联系紧密性与相互作用排序:监测区2(0.221~0.248)<监测区1(0.623~0.711)<监测区3(0.582~0.808)。【结论】大气污染物彼此联系紧密,三维绿量较高的道路绿地对大气污染物浓度更能产生良性影响。【Objective】The study aimed to explore the coupling relationship between the three-dimensional green quantity of urban road green space and the concentration of air pollutants,to provide a theoretical basis for urban green space construction.【Method】Taking Nanjing Chengxin Avenue greenbelts as the research object,the study used UAV images and field sample data to determine the sample areas and compute three-dimensional green quantity.According to the results,the sample areas were divided into areas with a low threedimensional green quantity(Sample 1,279.31 m^(3)),areas without a three-dimensional green quantity(Sample 2,0 m^(3))and areas with a high three-dimensional green quantity(Sample 3,567.71 m^(3)).On this basis,the concentration of air pollutants in different sample areas was measured by the Bramc Hol series professional air quality detector and Thermo Scientific^(TM) Model 42i(NO-NO_(2)-NO_(x))analyzer,and the relationship between different three-dimensional green quantity and air pollutant concentrations was analyzed.【Result】The weekly mean concentration of air pollutants was in the order of sample 1>sample 2>sample 3,and PM_(2.5) pollution was more serious during the monitoring period.The variation trend of PM_(1),PM_(2.5) and PM_(10) was relatively consistent and showed significant correlations with each other(P<0.01).The variation of NO,NO_(2) and NO_(x) concentrations was not consistent,and there was a significant correlation between NO and NO_(x) as well as NO_(2) and NO_(x)(P<0.01).The coupling coordination relationship analysis revealed the ranking of the coupling coordination degree in the monitoring area,as well as the correlation and interaction between air pollutants and three-dimensional green amount quantity,which results were in the order of sample 2(0.221-0.248)<sample 1(0.623-0.711)<sample 3(0.582-0.808).【Conclusion】Air pollutants were closely related to each other.The sample areas with higher three-dimensional green quantities have more benign effects on the concentration

关 键 词：三维绿量 大气污染物 耦合关系 相关性 

分 类 号：S727.28[农业科学—林木遗传育种]