城市街道绿化对空气质量及微气候影响的综合模拟研究
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国家自然科学基金重点项目(41430638);国家重点研究和发展计划项目(2016YFC0503003);城市与区域生态国家重点实验室自主重点项目


A comprehensive simulation study on the influence of urban street greening on air quality and microclimate
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The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan),The National Basic Research Program of China (973 Program)

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    摘要:

    植被对街道峡谷行人水平空气质量的影响得到了广泛关注,然而,污染物浓度与真实街道几何的宽街谷下复杂的绿化条件之间的关系没有得到足够的重视,也很少有研究对这种街道绿地对空气质量和微气候的综合影响进行评价。研究探讨街道绿化如何影响慢行道空气质量及微气候,其因子相关性、影响效果如何,并评估其综合生态效益。结果表明,街道绿化有正负两方面生态效益,可增加慢行道PM2.5浓度9.34%-99.70%,平均降低气温1.06℃。近源冠层体积分数与浓度变化率极显著正相关,最能表征绿化引起的慢行道空气质量变化。绿化覆盖率、慢行道SVF与温湿度、风速变化率显著相关。各道路等级下中等覆盖度的场景具有最佳综合生态效益,主次干道综合生态效益高的场景特点是机非绿带为乔灌结构,水平结构为均匀型。研究可促进对宽阔街道绿化生态功能权衡的深入认识,为街道绿地配置方法及生态效益评估提供依据。

    Abstract:

    Traffic pollution emission has drawn people's attention to the air quality of pedestrian height in street canyon, and many studies reported the negative effect of vegetation on air quality. In previous studies, numerical simulation was used to control variables to explore the relationship between pollutant concentration and individual characteristics or layout parameters of plants in urban street canyon, quantify the influence of plants in the meantime. However, the relationship between pollutant concentration and complex greening conditions in wide street canyon with real street geometry has not received enough attention up to now, and few studies have evaluated the combined ecological effects of such kind of street green spaces on air quality and microclimate. Therefore, this paper selected some street structure factors and greening factors on green space structure and total quantity, discussed the effect of street green space on air quality and thermal environment of slow lane, from how the factors were correlated to these dependent variables to how much effect it had, especially focusing on air quality of slow lane, and evaluated the comprehensive ecological benefits brought by greening. In Beijing, nine sample areas with different greening structure under certain differences in urban geometry were selected, in conjunction with no-greening and current greening generated a total of 18 scenarios for ENVI-met modeling and analysis. The results showed that under the complex street structure and greening structure, the change of slow lane air quality caused by greening could best be characterized by the greening factor called near-source crown volume fraction (NCVF). Street greening had both positive and negative ecological effects, as shown in the increase of PM2.5 concentration in slow lane by 9.34%-99.70% and the decrease of temperature by 1.06℃ on average. The near-source crown volume fraction was significantly positively correlated with the change rate of concentration, while the green coverage rate and sky view factor (SVF) of slow lane were significantly correlated with the change rate of temperature, humidity and wind speed. The scenes with medium green coverage rate in each road grade have the best comprehensive ecological effect, which in the main and secondary roads are characterized by arbor-shrub structure on the greenbelt between motor way and bicycle lane, and uniform type of the horizontal structure. The research promotes deep understanding of the ecological function trade-off of multilayer greening in broad street canyons, and provides basis for street greening allocation method and ecological benefit evaluation.

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胡杨,马克明.城市街道绿化对空气质量及微气候影响的综合模拟研究.生态学报,2021,41(4):1314~1331

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