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基于PM2.5消减的街旁绿地植物空间配置 模式研究——以苏州工业园区为例
徐安祺,初步天,肖湘东*,姜佳怡
0
作者简介:
摘要:
通过连续监测苏州市工业园区现代大道30块街旁绿 地内PM2.5的质量浓度、群落微气候因子及植物结构因子,探 究城市街旁绿地的PM2.5浓度消减能力,并从颗粒物消减视角 提出城市街旁绿地优化设计策略。结果表明:1)植株郁闭度、 种植密度、常绿植株数量占比与PM2.5浓度都呈显著正相关关 系;2)PM2.5浓度与相对湿度呈显著正相关关系,与空气温度 呈负相关关系,在研究中应将两者统筹兼顾,缺一不可,PM2.5 浓度的日变化趋势为早晨、上午、傍晚浓度值高,变化趋势曲 线呈现“U”字形;3)在绿地空间植物配置中,多选用当地的 乡土树种和优势树种进行种植。在植物配置模式中,“乔灌草乔灌”多层种植模式的消减作用最强,能有效消减绿地PM2.5浓 度。研究结果为城市绿地的系统布局提供较有效的布置建议, 为城市生态环境建设提供了思路和参照。 关 键 词:风景园林;街旁绿地;植物群
关键词:  风景园林  街旁绿地  植物群落  PM2.5浓度  配 置模式
DOI:
基金项目:
Spatial Pattern of Plants in Streetside Green Space Based on PM2.5 Reduction: A Case Study of Suzhou Industrial Park
XU Anqi,CHU Butian,XIAO Xiangdong,JIANG Jiayi
Abstract:
The mass concentration of PM2.5, community microclimate factors and plant structure factors in 30 blocks of streetside green space on the Modern Avenue in Suzhou Industrial Park were monitored continuously from July 2020 to August 2020, to explore the PM2.5 concentration reduction capacity of urban streetside green space and propose an optimal design strategy for urban streetside green space allocation from the perspective of particle reduction. The results showed that: 1) Plant closure, planting density, and proportion of evergreen plants were positively correlated with PM2.5 concentration, and were significantly correlated. 2) PM2.5 concentration and relative humidity show a significant positive correlation relationship, and the air temperature is negatively correlated, and the two should be taken into account in the study and both are indispensable. The daily variation characteristics of PM2.5 concentration are basically high concentration values in the morning, before the noon, and evening, and the curve is "U-shaped". 3) In the configuration of green space plants, more local dominant tree species and local tree species are selected for planting. Among the plant configuration modes, the multilayer planting mode of "arbor/shrub/grass - arbor/shrub" has the strongest reduction effect, which can effectively reduce the PM2.5 concentration of green space. The research results provide the most efficient layout for the systematic layout of urban green space, and provide
Key words:  landscape architecture  green space beside the street  plant community  PM2.5 concentration  configuration mode

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