节点文献
基于地统计学研究城市道路林内大气颗粒物的空间分布特征
Spatial Distribution Characteristics of Atmospheric Particulate Matter in Urban Road Forest based on Ggeostatistics
【摘要】 以应用地统计学知识为基础,探究不同植物群落结构对空气颗粒物的影响,研究城市道路林最佳植物配置模式。本试验以6种不同植物群落配置的道路林作为研究对象,测量其不同时间条件下TSP、PM10、PM2.5和PM1的浓度。结果表明4种颗粒物浓度日动态变化规律明显,8:00-12:00时空气颗粒物含量下降,12:00-14:00时出现最低值,14:00-16:00时空气颗粒物含量略有增加,呈先降低后升高的趋势;植物群落结构复杂的道路林滞尘能力优于结构简单的道路林。因此,在进行道路林植物配置时,应尽量选择复杂的植物群落配置方式,而非选择较为单一的配置方式,这有利于降低空气颗粒物浓度。
【Abstract】 To explore the effects of different plant community structure on air particulate matter and select the best plant arrangement mode in road forest with geostatistics knowledge. In this experiment, six road forests with different plant communities were taken as the research object, and the concentrations of TSP, PM10, PM2.5 and PM1 were measured under different time conditions.The results showed that thedaily dynamic changes of the four kinds of particulate matter concentrations were obvious.The airborne particulate matter content decreased from 8:00 to 12:00, had the lowest value from 12:00 to 14:00, and slightly increased from 14:00 to 16:00, showing a trend of first decreasing and then increasing. It was also found that the road forest with complex plant community structure had better dust retention ability than the road forest with simple plant community structure. Therefore, complex plant community configuration mode should be selected as far as possible, rather than a single configuration mode, which has the most significant effect on reducing the concentration of airborne particles.
【Key words】 airborne particulate matter; road tree belts; plant community structure;
- 【文献出处】 山东林业科技 ,Journal of Shandong Forestry Science and Technology , 编辑部邮箱 ,2021年04期
- 【分类号】X513
- 【下载频次】129