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不同植被结构校园绿地对空气颗粒物浓度影响研究
路琛,张祥,邱玲,高天*,聂帅
0
作者简介:
摘要:
通过2017年4月—2018年3月连续监测陕西省宝鸡文理学院5种不同植被结构绿地内的空气颗粒物总量(TSP)、PM10、PM2.5的浓度以及相关气象因子的变化,探究时间、气象和植被结构等因子对空气颗粒物浓度的影响,结果表明:1)监测日期和时间对PM2.5、PM10、TSP浓度有极显著的影响,在监测期内PM2.5、PM10和TSP在7月份最低,12月达到峰值;2)温度、湿度和风速对PM2.5、PM10及SP浓度均有极显著影响;在微风条件下,温度和风速与空气颗粒物PM2.5、PM10和TSP的浓度呈负相关,湿度与其呈正相关。在同样的气象条件下,粗颗粒物对于气象因素的响应大于细颗粒物;3)5种不同校园绿地植被结构类型对PM2.5、PM10、TSP浓度的削减作用在统计学上虽无显著差异,但不同植被结构的绿地对空气颗粒物均有一定滞留能力,整体上表现为在相同的气象条件下,绿地内的空气颗粒物浓度大于硬质铺装。
关键词:  :园林植物  校园绿地  植被结构  空气颗粒物浓度  气象因素
DOI:
基金项目:
The Reducing Effect of Campus Green Spaces with Different Vegetation Structures on Airborne Particulate Concentration
LU Chen,ZHANG Xiang,QIU Ling,GAO Tian,NIE Shuai
Abstract:
This study continuously monitored the changes of total airborne particulate matter (TSP), PM10, PM2.5 concentrations and related meteorological factors in five types of green spaces with different vegetation structures in Baoji University of Arts and Sciences in Shaanxi Province from April 2017 to March 2018, and explored the effects of factors such as time, meteorology and vegetation structure on airborne particulate matter concentration. The results showed that: 1) Monitoring date and time had a significant effect on the concentrations of PM2.5, PM10 and TSP. During the whole year, the lowest concentrations of PM2.5, PM10 and TSP were in July and the peak in December. 2) Temperature, humidity and wind speed had a significant effect on PM2.5, PM10 and TSP concentrations. The temperature and wind speed were inversely related to the concentrations of PM2.5, PM10 and TSP in airborne particulate matter. Humidity was positively correlated with it. Under the same meteorological conditions, coarse particles responded more to meteorological factors than fine particles. 3) There were no statistically significant differences in the reduction of PM2.5, PM10, and TSP concentrations in five different types of vegetation structures. However, vegetation structures had a certain retention capacity for airborne particulate matter and the concentration of airborne particulate matter was greater than that of hard paving in general.
Key words:  landscape plant  campus green space  vegetation structure  airborne particulate concentration  meteorological factor

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