[1]袁楚阳,章银柯,朱国亮,等.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(01):24-32.[doi:10.3969/j.issn.1001-3776.2021.01.004]
 YUAN Chu-yang,ZHANG Yin-ke,ZHU Guo-liang,et al.Simulation on Effect of Road Greenbelt on PM2.5 Concentration by ENVI-met[J].Journal of Zhejiang Forestry Science and Technology,2021,41(01):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()
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《浙江林业科技》[ISSN:1001-3776/CN:33-1112/S]

卷:
41
期数:
2021年01期
页码:
24-32
栏目:
出版日期:
2021-02-10

文章信息/Info

Title:
Simulation on Effect of Road Greenbelt on PM2.5 Concentration by ENVI-met
文章编号:
1001-3776(2021)01-0024-09
作者:
袁楚阳1章银柯2朱国亮3李晓璐1于慧1张天然1黄芳1莫莉4邵锋1
(1. 浙江农林大学风景园林与建筑学院,浙江杭州 311300;2. 杭州植物园,浙江 杭州 310012;3. 缙云县林业局,浙江 缙云321400;4. 生态环境部土壤与农业农村生态环境监管技术中心,北京 100012)
Author(s):
YUAN Chu-yang1ZHANG Yin-ke2ZHU Guo-liang3LI Xiao-lu1YU Hui1ZHANG Tian-ran1HUANG Fang1MO Li4SHAO Feng1
(1. School of Landscape Architecture, Zhejiang A & F University, Hangzhou 311300, China; 2. Hangzhou Botanical Garden, Hangzhou 310012,China; 3. Jinyun Forestry Bureau of Zhejiang, Jinyun 321400, China; 4. Monitoring Centre for Soil, Agriculture and Rural Ecology and Environment,Ministry of Ecology and Environment, Beijing 100012, China)
关键词:
道路绿带PM2.5植物配植ENVI-met模拟
Keywords:
road greenbelt PM2.5 plant distribution ENVI-met simulation
分类号:
X171
DOI:
10.3969/j.issn.1001-3776.2021.01.004
文献标志码:
A
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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备注/Memo

备注/Memo:
收稿日期:2020-09-16;修回日期:2020-12-14作者简介:袁楚阳,硕士,从事园林植物应用与园林生态研究;E-mail: chzxycy@qq.com。通信作者:邵锋,副教授,博士,从事园林植物应用与园林生态研究;E-mail: shaofeng@zafu.edu.cn。
更新日期/Last Update: 2021-02-10