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 |
DOI | 10.3390/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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