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袁楚阳, 章银柯, 朱国亮, 李晓璐, 于慧, 张天然, 黄芳, 莫莉, 邵锋. 基于 ENVI-met 的道路绿带植物配植对PM2.5 浓度影响模拟[J]. 浙江林业科技, 2021, 41(1): 24-32. DOI: 10.3969/j.issn.1001-3776.2021.01.004
引用本文: 袁楚阳, 章银柯, 朱国亮, 李晓璐, 于慧, 张天然, 黄芳, 莫莉, 邵锋. 基于 ENVI-met 的道路绿带植物配植对PM2.5 浓度影响模拟[J]. 浙江林业科技, 2021, 41(1): 24-32. DOI: 10.3969/j.issn.1001-3776.2021.01.004
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YUAN Chu-yang, ZHANG Yin-ke, ZHU Guo-liang, LI Xiao-lu, YU Hui, ZHANG Tian-ran, HUANG Fang, MO Li, SHAO Feng. Simulation on Effect of Road Greenbelt on PM2.5 Concentration by ENVI-met[J]. Journal of Zhejiang Forestry Science and Technology, 2021, 41(1): 24-32. DOI: 10.3969/j.issn.1001-3776.2021.01.004
Citation: YUAN Chu-yang, ZHANG Yin-ke, ZHU Guo-liang, LI Xiao-lu, YU Hui, ZHANG Tian-ran, HUANG Fang, MO Li, SHAO Feng. Simulation on Effect of Road Greenbelt on PM2.5 Concentration by ENVI-met[J]. Journal of Zhejiang Forestry Science and Technology, 2021, 41(1): 24-32. DOI: 10.3969/j.issn.1001-3776.2021.01.004
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基于 ENVI-met 的道路绿带植物配植对PM2.5 浓度影响模拟

Simulation on Effect of Road Greenbelt on PM2.5 Concentration by ENVI-met

    摘要
  • 摘要: 为改善城市道路人行空间的空气质量，以杭州市临安区武肃街为研究对象，将道路分车绿带和行道树绿带两两组合，构成乔灌-乔草（I）、乔灌-乔灌（II）、灌草-乔草（III）和灌草-乔灌（IV）4 种配植方式，并以无植物种植的道路为参照（CK），采用实地监测与ENVI-met 软件模拟相结合的方法，探究道路绿带内不同植物配植方式对PM2.5 浓度的影响。结果表明，实测PM2.5 浓度日变化（8:00－16:00）表现为上午和下午较高、中午低的趋势；人行道的PM2.5 浓度实测值与模拟值呈极显著正相关（P < 0.01，R2 = 0.944）。模拟显示，CK 的PM2.5 浓度最高值出现在机动车道处，PM2.5 随风向向外扩散；相较于CK，在垂直方向上，非机动车道和人行道处I 和II 的PM2.5 扩散高度均低于III 和IV 的，且人行道处III 和IV 在4 ~ 6 m 高度处均有PM2.5 聚集现象；在水平方向上，非机动车道处4 种配植方式的PM2.5 消减率均下降，人行道处I 和II 的消减率分别增加1.94%和0.87%，而III 和IV 的消减率分别减少0.51%和0.89%。乔灌型分车绿带和乔草型行道树绿带是道路绿带的最佳植物配植方式。

     

    Abstract: In one daytime of September, October and November 2019, determinations were made on PM2.5 concentration in road greenbelts withdifferent plant distribution on Wusu Street of Lin’an, Zhejiang province. Simulation was implemented by ENVI-met with open space as control. Theresults revealed that the daily PM2.5 concentrations (8:00-16:00) were higher in the morning and in the afternoon than those at noon. There was asignificant positive correlation between the measured PM2.5 concentration on the pavement and the simulation value (P < 0.01, R2 = 0.944), indicatingENVI-met could simulate PM2.5 concentration. The simulation indicated that the highest PM2.5 concentration located in the drive way of CK. Theexperiment demonstrated that the best plant distribution for drive way division was tree with shrub, and for pavement was tree and grass.

     

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