The Reducing Effect of Green Spaces with Different Vegetation Structure on Atmospheric Particulate Matter Concentration in BaoJi City, China
The Reducing Effect of Green Spaces with Different Vegetation Structure on Atmospheric Particulate Matter Concentration in BaoJi City, China
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DOI：
10.3390/atmos9090332
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发表时间：
2018-08
期刊：
影响因子：
2.9
通讯作者：
Ling Qiu;Fang Liu;Xiangdi Zhang;Tian Gao
中科院分区：
文献类型：
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作者：
Ling Qiu;Fang Liu;Xiangdi Zhang;Tian Gao
随着城市化和工业化进程的加快，大气颗粒物污染已成为中国最严重的环境问题之一。以宝鸡市绿色空间为研究对象，以植被结构参数为依据，水平结构、垂直结构和植被类型。选取11种不同结构的绿色空间，基于环境因子的“基质效应”，研究不同植被结构的绿色空间与大气颗粒物（PM）浓度的关系，位置、时间、风速、温度、湿度和面积对绿色空间PM2.5和PM10浓度的影响。结果表明：（1）位置、时间、风速、温度和湿度对PM2. 5和PM10浓度的影响均达到极显著水平。在晴天和微风天气条件下，PM2.5和PM10浓度随风速和湿度的增大而增大，随温度的升高而减小。PM10浓度的变化范围大于PM2.5浓度的变化范围。(2)小于2公顷的绿色空间对PM2.5和PM10浓度没有显著影响。(3)所有绿色空间的PM2.5和PM10浓度与对照组相比均无显著性差异。不同结构的绿色空间对PM2. 5浓度的降低无显著差异，但对PM10浓度的降低有显著差异。研究结果为今后城市绿色空间结构的优化提供了理论依据和实践方法，从而有效改善城市空气质量。
With the acceleration of urbanisation and industrialisation, atmospheric particulate pollution has become one of the most serious environmental problems in China. In this study, green spaces in Baoji city were classified into different patterns on the basis of vegetation structural parameters, i.e., horizontal structure, vertical structure and vegetation type. Eleven types of green space with different structures were selected for investigating the relationships between atmospheric particulate matter (PM) concentration and green spaces with different vegetation structure, based on the “matrix effect” of environmental factors, i.e., location, time, wind velocity, temperature, humidity and area to the concentration of PM2.5 and PM10 in the green spaces. The results showed that: (1) Location, time, wind velocity, temperature and humidity had highly significant effects on the concentration of PM2.5 and PM10. In sunny and breeze weather conditions, PM2.5 and PM10 concentration increased with the wind velocity and humidity, and decreased with the temperature. The range of PM10 concentration was greater than the range of PM2.5 concentration. (2) Less than 2 hectares of the green space had no significant influence on the concentration of PM2.5 and PM10. (3) The concentration of PM2.5 and PM10 showed no significant difference between all the green spaces and the control group. There was no significant difference in the reduction of PM2.5 concentration between different structural green spaces, but there was a significant difference in the reduction of PM10 concentration. The above results will provide a theoretical basis and practical methods for the optimisation of urban green space structures for improving urban air quality effectively in the future.