摘要
城市绿地空间形态及内部结构与大气颗粒物污染关系密切,在城市高密度建设的背景下,优化城市绿地空间形态来调控大气颗粒物尤为重要。以宿迁中心城区常见的公园绿地、公共绿地(公共管理与公共服务设施用地附属绿地)和道路绿地(道路与交通设施用地附属绿地)为研究对象,对绿地内细颗粒物(PM_(2.5))浓度、绿地规模、斑块面积、斑块周长、形状指数、分维指数及近圆形形状指数进行测定和计算,以期揭示绿地空间形态指标对PM_(2.5)的调控作用。结果表明:1)3种城市绿地对PM_(2.5)的消减作用排序为公园绿地(3.72μg/m^(3))>公共绿地(3.51μg/m^(3))>道路绿地(1.85μg/m^(3)),按绿地规模则表现为大型绿地(4.30μg/m^(3))>中型绿地(4.28μg/m^(3))>小型绿地(2.19μg/m^(3))。2)当绿地规模<2 hm^(2)时,PM_(2.5)的消减作用较弱;当绿地规模处于2~10 hm^(2)时,PM_(2.5)消减量快速上升;当绿地规模>10 hm^(2)时,PM_(2.5)消减量逐步趋于平稳,说明绿地规模处于2~10 hm^(2)时,绿地对颗粒物消减的性价比较高。3)PM_(2.5)消减量与斑块面积、斑块周长均呈P<0.01的显著正相关,与形状指数、分维指数皆呈P<0.05的显著正相关,斑块面积较大、空间形态较多样的绿地有利于消减颗粒物。
The relationship between the spatial form and internal structure of urban green spaces and atmospheric particulate pollution is closely linked.In the context of high-density urban development,optimizing the spatial form of urban green spaces becomes particularly important for regulating atmospheric particulate matter.This study focused on common types of green spaces in the central urban area of Suqian,including park green spaces,public green spaces(green spaces associated with public management and public service facilities)and road green spaces(green spaces associated with roads and transportation facilities).Parameters such as PM_(2.5) concentration within green spaces,green space size,patch area,patch perimeter,shape index,fractal dimension index and near-circular shape index were measured and calculated to reveal the impact of green space spatial form indicators on PM_(2.5) regulation.The results showed that:1)the reduction effect of the three types of urban green spaces on PM_(2.5),in descending order,was park green spaces(3.72μg/m^(3))>public green spaces(3.51μg/m^(3))>road green spaces(1.85μg/m^(3)).In terms of green space size,it was large-sized green spaces(4.30μg/m^(3))>medium-sized green spaces(4.28μg/m^(3))>small-sized green spaces(2.19μg/m^(3)).2)When the scale of green space was less than 2 hm^(2),the reduction effect of PM_(2.5) was weak;when the scale of green space was between 2 and 10 hm^(2),the reduction amount of PM_(2.5) increased rapidly;when the scale of green space was greater than 10 hm^(2),the reduction amount gradually became stable.This indicated that green spaces with sizes between 2 and 10 hm^(2) offered higher effectiveness-cost in reducing particulate matter.3)PM_(2.5) reduction was strongly positively correlated with patch area and patch perimeter(P<0.01)and positively correlated with shape index and fractal dimension index(P<0.05).Green spaces with large patch areas and diverse spatial forms were conducive to reducing particulate matter.
作者
王辉
刘宇
孙丹
高劲松
WANG Hui;LIU Yu;SUN Dan;GAO Jingsong(Jiangsu Suqian Environmental Monitoring Center,Suqian Jiangsu 223800;School of Environment and Geomatics,China University of Mining and Technology,Xuzhou Jiangsu 221116;College of Biology and Materials Engineering,Suqian University,Suqian Jiangsu 223800;Suqian Water Investigation,Design and Research Co.,Ltd.,Suqian Jiangsu 223800)
出处
《环境污染与防治》
北大核心
2025年第8期80-87,共8页
Environmental Pollution & Control
基金
大运河文化带建设研究院宿迁分院2023年度课题(No.dyhsq202302)
江苏省产学研合作项目(No.BY20231218)。
关键词
城市绿地空间形态
细颗粒物
绿地规模
消减量
调控作用
urban green space form
PM_(2.5)
green space scale
amount of reduction
regulatory effect
