Difference of Airborne Particulate Matter Concentration in Urban Space with Different Green Coverage Rates in Baoji, China

Ling Qiu, Fang Liu, Xiang Zhang and Tian Gao
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Ling Qiu: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, Shaanxi, China
Fang Liu: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, Shaanxi, China
Xiang Zhang: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, Shaanxi, China
Tian Gao: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, Shaanxi, China

IJERPH, 2019, vol. 16, issue 8, 1-15

Abstract: With the acceleration of urbanization and industrialization, the problem of airborne particulate pollution has become more and more serious. Green areas in urban spaces with different green coverage rates in Baoji City were selected to quantitatively compare the effects and differences of month, time, temperature, humidity, wind velocity, vegetation structure, and area of site on PM2.5 and PM10 concentration. The results showed that increasing the urban green coverage rate will help to improve the green area’s reduction of airborne particulate matter concentration and the selected factors affecting the green area’s reduction ability were discrepant in urban spaces with different green coverage rates. With the decrease of the green coverage rate, the purification effect of green area itself on air particles was weakened, and other factors, such as meteorological conditions and human activities, became the dominant influencing factors. Vegetation structure only had significant effects on the concentration of PM2.5 and PM10 in green areas of urban space with a green coverage rate greater than 75%. The concentration of PM2.5 and PM10 were lowest in the partly closed green area of one-layered coniferous trees and the closed green area of one-layered mixed trees. The research shows that green areas in urban spaces with different green coverage rates have different reduction effects on the concentration of airborne particles, which provides a theoretical basis and reference for the optimization of green area structures and to improve air quality effectively in the future.

Keywords: PM2.5; PM10; ecosystem services; vegetation structure; landscape management (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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