中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Does the Spatial Pattern of Plants and Green Space Affect Air Pollutant Concentrations? Evidence from 37 Garden Cities in China

文献类型:期刊论文

作者Wang, Chengkang; Guo, Mengyue; Jin, Jun4; Yang, Yifan; Ren, Yujie3; Wang, Yang1; Cao, Jiajie
刊名PLANTS-BASEL
出版日期2022
卷号11期号:21
关键词public health urban green spaces landscape pattern air pollution quantitative analysis threshold effect
DOI10.3390/plants11212847
文献子类Article
英文摘要Relevant studies have demonstrated that urban green spaces composed of various types of plants are able to alleviate the morbidity and mortality of respiratory diseases, by reducing air pollution levels. In order to explore the relationship between the spatial pattern of urban green spaces and air pollutant concentrations, this study takes 37 garden cities with subtropical monsoon climate in China as the research object and selects the urban air quality monitoring data and land use type data in 2019 to analyze the relationship between the spatial pattern and the air pollutant concentration through the landscape metrics model and spatial regression model. Moreover, the threshold effect of the impact of green space on air pollutant concentrations is estimated, as well. The results showed that the spatial pattern of urban green space was significantly correlated with the concentrations of PM2.5 (PM with aerodynamic diameters of 2.5 mmor less), NO2 (Nitrogen Dioxide), and SO2 (Sulfur dioxide) pollutants in the air, while the concentrations of PM10 (PM with aerodynamic diameters of 10 mmor less) pollutants were not significantly affected by the green space pattern. Among them, the patch shape index (LSI), patch density (PD) and patch proportion in landscape area (PLAND) of forest land can affect the concentration of PM2.5, NO2, and SO2, respectively. The PLAND, PD, and LSI of grassland and farmland can also have an additional impact on the concentration of SO2 pollutants. The study also found that there was a significant threshold effect within the impact mechanism of urban green space landscape pattern indicators (LSI, PD, PLAND) on the concentrations of PM2.5, NO2, and SO2 air pollutants. The results of this study not only clarified the impact mechanism of the spatial pattern of urban green space on air pollutant concentrations but also provided quantitative reference and scientific basis for the optimization and updating of urban green space to promote public health.
学科主题Plant Sciences
电子版国际标准刊号2223-7747
出版地BASEL
WOS关键词NITROGEN-DIOXIDE ; LAND-USE ; URBAN ; ASSOCIATION ; IMPACTS ; CLIMATE ; LEAVES ; PM10
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
出版者MDPI
WOS记录号WOS:000881598500001
资助机构National Key R&D Program of China [2020YFD1100405] ; National Natural Science Foundation of China [32071832] ; Humanity and Social Sciences Youth Foundation of the Ministry ofEducation of China [18YJCZH167] ; Natural Science Foundation of Jiangsu Province [BK20190751]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/28743]  
专题植被与环境变化国家重点实验室
作者单位1.Kyushu Univ, Grad Sch Human Environm Studies, Fukuoka 8190395, Japan
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
3.Southeast Univ, Res Inst Architecture, Nanjing 210096, Peoples R China
4.Nanjing Forestry Univ, Coll Landscape Architecture, Nanjing 210037, Peoples R China
推荐引用方式
GB/T 7714
Wang, Chengkang,Guo, Mengyue,Jin, Jun,et al. Does the Spatial Pattern of Plants and Green Space Affect Air Pollutant Concentrations? Evidence from 37 Garden Cities in China[J]. PLANTS-BASEL,2022,11(21).
APA Wang, Chengkang.,Guo, Mengyue.,Jin, Jun.,Yang, Yifan.,Ren, Yujie.,...&Cao, Jiajie.(2022).Does the Spatial Pattern of Plants and Green Space Affect Air Pollutant Concentrations? Evidence from 37 Garden Cities in China.PLANTS-BASEL,11(21).
MLA Wang, Chengkang,et al."Does the Spatial Pattern of Plants and Green Space Affect Air Pollutant Concentrations? Evidence from 37 Garden Cities in China".PLANTS-BASEL 11.21(2022).

入库方式: OAI收割

来源:植物研究所

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